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Nashville Predators 25-21-3, 53pts · 7th in Western Conference |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/RW | 100.00 | 62 | 34 | 89 | 75 | 71 | 87 | 82 | 73 | 69 | 74 | 71 | 67 | 73 | 61 | 63 | 84 | 81 | 0 | 21 | 894,167$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 35 | 93 | 84 | 75 | 88 | 92 | 80 | 64 | 79 | 81 | 67 | 84 | 69 | 71 | 83 | 81 | 0 | 26 | 6,962,366$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 34 | 85 | 72 | 69 | 86 | 90 | 75 | 58 | 73 | 74 | 64 | 75 | 76 | 77 | 39 | 81 | 0 | 33 | 7,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 36 | 91 | 77 | 79 | 85 | 87 | 70 | 59 | 67 | 73 | 78 | 69 | 67 | 71 | 36 | 81 | 0 | 28 | 3,650,000$/4yrs | |||
![]() | 0 | C | 100.00 | 61 | 37 | 92 | 80 | 86 | 91 | 85 | 87 | 90 | 86 | 89 | 88 | 92 | 72 | 90 | 77 | 81 | 0 | 27 | 10,000,000$/8yrs | |||
![]() | 0 | C/LW | 100.00 | 57 | 41 | 90 | 79 | 89 | 87 | 88 | 79 | 82 | 79 | 83 | 74 | 76 | 80 | 84 | 53 | 69 | 0 | 31 | 6,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 46 | 80 | 78 | 71 | 87 | 89 | 77 | 62 | 72 | 78 | 79 | 76 | 62 | 65 | 84 | 81 | 0 | 22 | 5,000,000$/6yrs | |||
![]() | 0 | LW | 100.00 | 58 | 35 | 89 | 82 | 74 | 85 | 81 | 76 | 59 | 73 | 82 | 62 | 79 | 68 | 71 | 81 | 81 | 0 | 26 | 5,250,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 75 | 36 | 94 | 62 | 79 | 76 | 83 | 63 | 80 | 62 | 64 | 77 | 65 | 70 | 69 | 56 | 81 | 0 | 28 | 850,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 56 | 33 | 94 | 67 | 70 | 78 | 89 | 66 | 85 | 65 | 64 | 80 | 63 | 77 | 79 | 21 | 81 | 0 | 36 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 34 | 92 | 70 | 71 | 86 | 83 | 69 | 84 | 76 | 65 | 82 | 67 | 69 | 71 | 36 | 81 | 0 | 29 | 900,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 85 | 39 | 79 | 64 | 81 | 85 | 88 | 65 | 84 | 67 | 66 | 86 | 63 | 71 | 69 | 47 | 81 | 0 | 30 | 1,650,000$/3yrs | |||
![]() | 0 | D | 100.00 | 64 | 38 | 83 | 71 | 77 | 95 | 84 | 72 | 30 | 78 | 70 | 86 | 55 | 90 | 81 | 20 | 79 | 0 | 39 | 4,150,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 39 | 83 | 66 | 78 | 89 | 90 | 63 | 30 | 71 | 59 | 80 | 53 | 82 | 73 | 52 | 81 | 0 | 32 | 2,450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 39 | 92 | 66 | 78 | 89 | 90 | 64 | 30 | 73 | 59 | 84 | 52 | 75 | 73 | 34 | 82 | 0 | 32 | 2,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 38 | 85 | 71 | 89 | 94 | 90 | 69 | 30 | 78 | 66 | 88 | 54 | 79 | 74 | 38 | 72 | 0 | 32 | 5,850,000$/4yrs | |||
![]() | 0 | D | 100.00 | 77 | 38 | 83 | 61 | 92 | 88 | 87 | 59 | 30 | 67 | 58 | 81 | 50 | 73 | 72 | 59 | 61 | 0 | 30 | 2,499,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 34 | 93 | 70 | 72 | 91 | 88 | 68 | 30 | 78 | 69 | 83 | 56 | 67 | 69 | 56 | 81 | 0 | 26 | 2,666,666$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 68 | 37 | 88 | 66 | 84 | 82 | 88 | 64 | 79 | 67 | 63 | 78 | 63 | 72 | 74 | 35 | 31 | 0 | 30 | 1,550,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 71 | 69 | 61 | 87 | 83 | 79 | 62 | 30 | 71 | 59 | 82 | 50 | 65 | 66 | 56 | 71 | 0 | 27 | 1,000,000$/3yrs | |||
![]() | 0 | D | 90.79 | 59 | 34 | 95 | 76 | 68 | 92 | 90 | 72 | 30 | 79 | 75 | 64 | 61 | 72 | 70 | 52 | 69 | 0 | 29 | 4,500,000$/1yrs | |||
TEAM AVERAGE | 99.52 | 65 | 38 | 88 | 71 | 78 | 87 | 87 | 70 | 57 | 73 | 70 | 78 | 66 | 72 | 73 | 52 | 76 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 97 | 95 | 91 | 75 | 96 | 95 | 97 | 96 | 95 | 97 | 96 | 68 | 77 | 51 | 81 | 0 | 27 | 5,666,666$/3yrs |
![]() | 0 | 100.00 | 90 | 93 | 91 | 85 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 67 | 77 | 53 | 81 | 0 | 27 | 750,000$/3yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 94 | 94 | 91 | 80 | 93 | 92 | 94 | 93 | 92 | 94 | 93 | 68 | 77 | 52 | 81 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 80 | 87 | 92 | 78 | 86 | 80 | 61 | CAN | 58 | 3 | 1,000,000$ |
General Manager | Bernard Crites |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | William Nylander | 0 | LW/RW | 49 | 30 | 31 | 61 | 18 | 4 | 0 | 72 | 223 | 72 | 118 | 13.45% | 14 | 20.26 | 3 | 6 | 9 | 86 | 0 | 0 | 0 | 20 | 4 | 2 | 39.71% | 68 | 68 | 15 | 0 | 0 | 1.23 | 2 | 4 | ||
2 | Aleksander Barkov | 0 | C | 49 | 19 | 25 | 44 | 9 | 6 | 0 | 102 | 227 | 76 | 147 | 8.37% | 40 | 21.51 | 3 | 2 | 5 | 71 | 0 | 0 | 0 | 49 | 4 | 1 | 49.82% | 1407 | 46 | 21 | 1 | 0 | 0.83 | 0 | 6 | ||
3 | Jakub Vrana | 0 | LW | 49 | 16 | 19 | 35 | 2 | 8 | 0 | 82 | 150 | 55 | 88 | 10.67% | 25 | 18.61 | 0 | 3 | 3 | 66 | 0 | 0 | 0 | 0 | 3 | 2 | 38.03% | 71 | 41 | 15 | 0 | 0 | 0.77 | 3 | 6 | ||
4 | Joel Farabee | 0 | LW/RW | 49 | 15 | 14 | 29 | 8 | 18 | 0 | 129 | 118 | 35 | 55 | 12.71% | 24 | 17.95 | 1 | 1 | 2 | 58 | 0 | 0 | 0 | 0 | 2 | 1 | 32.00% | 50 | 16 | 22 | 0 | 0 | 0.66 | 1 | 2 | ||
5 | Evgenii Dadonov | 0 | LW/RW | 49 | 11 | 14 | 25 | -2 | 12 | 0 | 66 | 105 | 42 | 65 | 10.48% | 19 | 15.73 | 1 | 2 | 3 | 44 | 0 | 0 | 0 | 1 | 2 | 2 | 31.43% | 35 | 16 | 9 | 0 | 0 | 0.65 | 1 | 1 | ||
6 | Brock Nelson | 0 | C/LW | 46 | 10 | 13 | 23 | -1 | 2 | 0 | 66 | 105 | 32 | 52 | 9.52% | 19 | 17.11 | 0 | 2 | 2 | 57 | 0 | 0 | 0 | 26 | 1 | 0 | 54.80% | 396 | 29 | 11 | 0 | 0 | 0.58 | 0 | 2 | ||
7 | Ilya Mikheyev | 0 | LW/RW | 49 | 7 | 9 | 16 | -11 | 4 | 0 | 77 | 113 | 42 | 73 | 6.19% | 12 | 13.44 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 24 | 1 | 0 | 55.26% | 38 | 32 | 16 | 0 | 0 | 0.49 | 0 | 0 | ||
8 | Gustav Forsling | 0 | D | 49 | 3 | 13 | 16 | -6 | 4 | 0 | 52 | 52 | 35 | 22 | 5.77% | 51 | 21.39 | 3 | 0 | 3 | 56 | 0 | 0 | 0 | 54 | 1 | 1 | 0.00% | 0 | 19 | 30 | 0 | 0 | 0.31 | 0 | 0 | ||
9 | Frederick Gaudreau | 0 | C | 49 | 5 | 11 | 16 | -7 | 6 | 0 | 51 | 86 | 35 | 56 | 5.81% | 18 | 14.97 | 0 | 1 | 1 | 33 | 0 | 0 | 0 | 37 | 0 | 0 | 50.99% | 608 | 17 | 12 | 0 | 0 | 0.44 | 0 | 0 | ||
10 | Devin Shore | 0 | C/LW/RW | 49 | 6 | 9 | 15 | 3 | 2 | 0 | 44 | 41 | 9 | 23 | 14.63% | 9 | 8.46 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 58.33% | 12 | 4 | 5 | 0 | 0 | 0.72 | 0 | 0 | ||
11 | Dawson Mercer | 0 | C/RW | 47 | 4 | 10 | 14 | -4 | 14 | 0 | 81 | 113 | 19 | 64 | 3.54% | 10 | 15.06 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 6 | 0 | 0 | 38.64% | 44 | 31 | 9 | 0 | 0 | 0.40 | 0 | 0 | ||
12 | Mattias Ekholm | 0 | D | 41 | 2 | 12 | 14 | 12 | 16 | 0 | 69 | 51 | 18 | 26 | 3.92% | 54 | 23.21 | 1 | 0 | 1 | 64 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 15 | 44 | 0 | 0 | 0.29 | 0 | 0 | ||
13 | Derek Ryan | 0 | C/RW | 49 | 8 | 5 | 13 | 2 | 0 | 0 | 15 | 54 | 15 | 43 | 14.81% | 10 | 9.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 1 | 0 | 47.06% | 119 | 6 | 7 | 1 | 0 | 0.56 | 0 | 0 | ||
14 | Mark Giordano | 0 | D | 43 | 0 | 12 | 12 | -5 | 14 | 0 | 43 | 49 | 25 | 20 | 0.00% | 58 | 20.22 | 0 | 0 | 0 | 54 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 11 | 39 | 0 | 0 | 0.28 | 0 | 0 | ||
15 | Sean Kuraly | 0 | C/LW | 49 | 4 | 8 | 12 | -3 | 8 | 0 | 85 | 88 | 27 | 49 | 4.55% | 11 | 11.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0 | 1 | 54.00% | 150 | 16 | 9 | 0 | 0 | 0.44 | 0 | 0 | ||
16 | Shayne Gostisbehere | 0 | D | 44 | 2 | 8 | 10 | 2 | 0 | 0 | 43 | 45 | 25 | 26 | 4.44% | 37 | 21.69 | 1 | 2 | 3 | 64 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 27 | 25 | 0 | 0 | 0.21 | 0 | 0 | ||
17 | Dmitry Kulikov | 0 | D | 49 | 1 | 8 | 9 | -1 | 10 | 0 | 80 | 39 | 20 | 13 | 2.56% | 36 | 17.74 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 10 | 35 | 0 | 0 | 0.21 | 0 | 0 | ||
18 | Nick Jensen | 0 | D | 49 | 1 | 6 | 7 | -4 | 4 | 0 | 65 | 33 | 20 | 19 | 3.03% | 37 | 18.18 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 2 | 33 | 0 | 0 | 0.16 | 0 | 0 | ||
19 | Tomas Nosek | 0 | C/LW | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 0 | 4 | 0.00% | 0 | 9.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 6 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Patrik Nemeth | 0 | D | 19 | 0 | 0 | 0 | -3 | 8 | 0 | 26 | 16 | 4 | 7 | 0.00% | 16 | 17.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 8 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 880 | 144 | 227 | 371 | 10 | 140 | 0 | 1254 | 1713 | 606 | 970 | 8.41% | 500 | 16.88 | 13 | 19 | 32 | 682 | 0 | 0 | 0 | 487 | 21 | 11 | 49.70% | 3004 | 407 | 365 | 2 | 0 | 0.50 | 7 | 21 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Igor Shesterkin | 37 | 18 | 17 | 2 | 0.909 | 2.83 | 2206 | 0 | 0 | 104 | 1142 | 474 | 1 | 2 | 0.824 | 17 | 37 | 12 | 6 | 1 | 2 | |
2 | Ville Husso | 13 | 7 | 4 | 1 | 0.929 | 2.36 | 764 | 0 | 0 | 30 | 422 | 192 | 1 | 0 | 0.333 | 3 | 12 | 37 | 2 | 3 | 1 | |
Team Total or Average | 50 | 25 | 21 | 3 | 0.914 | 2.71 | 2971 | 0 | 0 | 134 | 1564 | 666 | 2 | 2 | 0.750 | 20 | 49 | 49 | 8 | 4 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 32 | 15 | 14 | 3 | 2 | 40 | 12 | 0 | 34 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 23 | 14 | 23 | 9 | 18 | 9 | 50.0% | 12.5% | 92.5% | 105.0 | LUCKY | |
2 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 18 | -4 | 4 | 0.400 | 14 | 24 | 38 | 0 | 0 | 2 | 9 | 3 | 0 | 174 | 53 | 54 | 67 | 0 | 179 | 49 | 14 | 107 | 6 | 1 | 16.67% | 7 | 3 | 57.14% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 103 | 63 | 113 | 43 | 82 | 39 | 46.4% | 8.0% | 89.9% | 98.0 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 37 | 8 | 6 | 23 | 0 | 30 | 6 | 6 | 27 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 23 | 13 | 19 | 9 | 16 | 8 | 50.0% | 10.8% | 83.3% | 94.1 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 36 | 8 | 12 | 16 | 0 | 32 | 9 | 2 | 24 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 21 | 12 | 21 | 8 | 17 | 8 | 62.5% | 13.9% | 90.6% | 104.5 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 38 | 11 | 17 | 10 | 0 | 31 | 5 | 0 | 34 | 1 | 1 | 100.00% | 0 | 0 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 22 | 13 | 20 | 7 | 17 | 8 | 60.0% | 10.5% | 93.5% | 104.1 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 36 | 15 | 5 | 16 | 0 | 33 | 8 | 2 | 31 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 22 | 13 | 20 | 8 | 17 | 8 | 20.0% | 2.8% | 87.9% | 90.7 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 69 | 20 | 24 | 25 | 0 | 77 | 20 | 2 | 35 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 43 | 28 | 44 | 15 | 32 | 16 | 20.0% | 2.9% | 88.3% | 91.2 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 31 | 7 | 10 | 14 | 0 | 47 | 9 | 6 | 26 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 20 | 12 | 23 | 8 | 16 | 8 | 50.0% | 6.5% | 93.6% | 100.1 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 38 | 12 | 18 | 8 | 0 | 31 | 7 | 0 | 22 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 24 | 15 | 18 | 8 | 16 | 8 | 42.9% | 7.9% | 87.1% | 95.0 | Unlucky | |
10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 0.667 | 8 | 12 | 20 | 1 | 0 | 3 | 2 | 3 | 0 | 101 | 27 | 37 | 37 | 0 | 98 | 53 | 8 | 80 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 65 | 40 | 67 | 23 | 47 | 23 | 61.5% | 7.9% | 94.9% | 102.8 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 1 | 2 | 2 | 64 | 30 | 20 | 9 | 10 | 65 | 16 | 8 | 52 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 43 | 27 | 46 | 17 | 34 | 16 | 63.6% | 10.9% | 92.3% | 103.2 | LUCKY | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 0 | 5 | 1 | 0 | 76 | 23 | 30 | 23 | 0 | 56 | 23 | 6 | 51 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 47 | 29 | 38 | 16 | 33 | 17 | 40.0% | 7.9% | 82.1% | 90.0 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 37 | 9 | 19 | 9 | 0 | 34 | 12 | 6 | 19 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 20 | 12 | 23 | 9 | 16 | 7 | 75.0% | 10.8% | 97.1% | 107.9 | LUCKY | |
14 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 9 | 2 | 6 | 0.750 | 11 | 17 | 28 | 0 | 0 | 3 | 3 | 4 | 2 | 142 | 53 | 44 | 43 | 7 | 106 | 55 | 16 | 94 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 89 | 55 | 87 | 35 | 67 | 33 | 55.6% | 7.7% | 91.5% | 99.3 | DULL | |
15 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 6 | 0.750 | 9 | 16 | 25 | 0 | 0 | 1 | 5 | 3 | 0 | 128 | 42 | 47 | 39 | 0 | 111 | 39 | 12 | 135 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 86 | 49 | 82 | 36 | 71 | 36 | 60.0% | 7.0% | 93.7% | 100.7 | DULL | |
16 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 0.500 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 0 | 130 | 44 | 40 | 46 | 0 | 140 | 33 | 12 | 101 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 90 | 56 | 83 | 33 | 66 | 34 | 46.7% | 6.9% | 92.9% | 99.8 | DULL | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 21 | 8 | 11 | 2 | 0 | 17 | 7 | 2 | 22 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 20 | 10 | 19 | 9 | 19 | 10 | 75.0% | 14.3% | 94.1% | 108.4 | LUCKY | |
18 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 10 | 13 | -3 | 3 | 0.375 | 10 | 16 | 26 | 0 | 0 | 0 | 6 | 3 | 1 | 144 | 54 | 40 | 49 | 3 | 109 | 33 | 10 | 112 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 98 | 61 | 75 | 31 | 71 | 36 | 42.9% | 6.9% | 88.1% | 95.0 | Unlucky | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 42 | 16 | 14 | 12 | 3 | 40 | 9 | 6 | 23 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 25 | 15 | 23 | 8 | 16 | 7 | 37.5% | 9.5% | 87.5% | 97.0 | FUN | |
20 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 9 | -1 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 94 | 45 | 26 | 23 | 0 | 98 | 28 | 8 | 63 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 64 | 38 | 60 | 26 | 54 | 27 | 47.1% | 8.5% | 90.8% | 99.3 | Unlucky | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 10 | 11 | 12 | 0 | 27 | 10 | 2 | 23 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 21 | 13 | 21 | 8 | 16 | 8 | 40.0% | 6.1% | 88.9% | 94.9 | Unlucky | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 0 | 2 | 4 | 0 | 29 | 6 | 11 | 12 | 0 | 37 | 11 | 4 | 28 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 19 | 10 | 23 | 9 | 17 | 8 | 71.4% | 20.7% | 94.6% | 115.3 | LUCKY | |
23 | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 10 | 17 | 0 | 0 | 2 | 1 | 2 | 3 | 100 | 33 | 37 | 23 | 10 | 97 | 35 | 8 | 87 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 69 | 41 | 65 | 26 | 52 | 26 | 58.3% | 7.0% | 93.8% | 100.8 | DULL | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 13 | 10 | 9 | 0 | 31 | 12 | 2 | 23 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 23 | 14 | 20 | 8 | 15 | 8 | 66.7% | 6.3% | 96.8% | 103.0 | DULL | |
_Vs Division | 21 | 8 | 8 | 0 | 1 | 1 | 2 | 1 | 58 | 59 | -1 | 24 | 0.571 | 58 | 93 | 151 | 1 | 0 | 14 | 24 | 17 | 5 | 719 | 262 | 221 | 228 | 20 | 655 | 234 | 64 | 508 | 19 | 3 | 15.79% | 32 | 6 | 81.25% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 465 | 286 | 451 | 178 | 358 | 177 | 50.9% | 8.1% | 91.0% | 99.1 | Unlucky | |
_Vs Conference | 38 | 15 | 16 | 0 | 2 | 1 | 3 | 1 | 98 | 105 | -7 | 42 | 0.553 | 98 | 160 | 258 | 2 | 0 | 21 | 43 | 29 | 8 | 1290 | 445 | 421 | 409 | 30 | 1199 | 405 | 108 | 964 | 42 | 5 | 11.90% | 53 | 12 | 77.36% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 847 | 519 | 808 | 324 | 647 | 325 | 50.0% | 7.6% | 91.2% | 98.8 | DULL | |
_Since Last GM Reset | 49 | 19 | 21 | 0 | 2 | 1 | 4 | 2 | 135 | 138 | -3 | 53 | 0.541 | 135 | 217 | 352 | 2 | 0 | 28 | 57 | 44 | 9 | 1664 | 562 | 557 | 530 | 35 | 1566 | 501 | 142 | 1253 | 73 | 10 | 13.70% | 70 | 14 | 80.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 1092 | 665 | 1045 | 421 | 835 | 420 | 50.2% | 8.1% | 91.2% | 99.3 | DULL | |
Total | 49 | 19 | 21 | 0 | 2 | 1 | 4 | 2 | 135 | 138 | -3 | 53 | 0.541 | 135 | 217 | 352 | 2 | 0 | 28 | 57 | 44 | 9 | 1664 | 562 | 557 | 530 | 35 | 1566 | 501 | 142 | 1253 | 73 | 10 | 13.70% | 70 | 14 | 80.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 1092 | 665 | 1045 | 421 | 835 | 420 | 50.2% | 8.1% | 91.2% | 99.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1173 |
Neutral Zone Start | 686 |
Defensive Zone Start | 1151 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1502 |
Faceoffs Lost | 1508 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.5 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 33.7 | 30.68 |
Overtime | 34.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 123 |
---|---|
PP Goal | 10 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 13 |
Lost | 11 | 10 |
Overtime Lost | 1 | 2 |
PP Attempt | 73 |
---|---|
PP Goal | 10 |
PK Attempt | 70 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 34.0 |
Shots Against | 32.0 |
Goals For | 2.8 |
Goals Against | 2.8 |
Hits | 25.6 |
Shots Blocked | 10.2 |
Pim | 2.9 |
Projected Total Cap Hit | 84,978,865$ |
Projected Cap Space | 21,135$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 46,400,631$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Predators Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksander Barkov | C | 27 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ |
Brock Nelson | C/LW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Dawson Mercer ![]() | C/RW | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Derek Ryan | C/RW | 36 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Devin Shore ![]() | C/LW/RW | 28 | 850,000$ | 850,000$ | |||||||
Dmitry Kulikov | D | 32 | 2,450,000$ | 2,450,000$ | UFA | ||||||
Evgenii Dadonov ![]() | LW/RW | 33 | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA | |||||
Frederick Gaudreau ![]() | C | 29 | 900,000$ | 900,000$ | UFA | ||||||
Gustav Forsling | D | 26 | 2,666,666$ | 2,666,666$ | 2,666,666$ | ||||||
Igor Shesterkin ![]() | G | 27 | 5,666,666$ | 5,666,666$ | 5,666,666$ | 5,666,666$ | |||||
Ilya Mikheyev ![]() | LW/RW | 28 | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | UFA | |||
Jacob Middleton ![]() | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Jakub Vrana | LW | 26 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Joel Farabee ![]() | LW/RW | 22 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | ||
Mark Giordano | D | 39 | 4,150,000$ | 4,150,000$ | 4,150,000$ | UFA | |||||
Mattias Ekholm | D | 32 | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | 5,850,000$ | UFA | |||
Nick Jensen | D | 32 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Patrik Nemeth | D | 30 | 2,499,000$ | 2,499,000$ | 2,499,000$ | UFA | |||||
Sean Kuraly ![]() | C/LW | 30 | 1,650,000$ | 1,650,000$ | 1,650,000$ | 1,650,000$ | UFA | ||||
Shayne Gostisbehere | D | 29 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Tomas Nosek ![]() | C/LW | 30 | 1,550,000$ | 1,550,000$ | UFA | ||||||
Ville Husso ![]() | G | 27 | 750,000$ | 2,490,000$ | 2,490,000$ | 2,490,000$ | UFA | ||||
William Nylander | LW/RW | 26 | 6,962,366$ | 6,962,366$ | 6,962,366$ |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aliaksei Protas ![]() | C/RW | 22 | 750,000$ | 750,000$ | 750,000$ | RFA | |||||
Anthony Stolarz ![]() | G | 29 | 1,570,000$ | 1,570,000$ | |||||||
Drew O'Connor ![]() | LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Ilya Lyubushkin ![]() | D | 28 | 2,450,000$ | 2,450,000$ | 2,450,000$ | UFA | |||||
Jack Studnicka ![]() | C/RW | 23 | 750,000$ | 750,000$ | 750,000$ | RFA | |||||
Jacob Bryson ![]() | D | 25 | 1,850,000$ | 1,850,000$ | 1,850,000$ | RFA | |||||
Jan Rutta ![]() | D | 32 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | ||||
Jaycob Megna ![]() | D | 30 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Josef Korenar ![]() | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Jujhar Khaira ![]() | C/LW | 28 | 750,000$ | 750,000$ | |||||||
Kristian Vesalainen ![]() | LW/RW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Kyle Clifford ![]() | LW | 32 | 850,000$ | 850,000$ | UFA | ||||||
Lucas Carlsson ![]() | D | 25 | 800,000$ | 800,000$ | RFA | ||||||
Noah Gregor ![]() | C/LW/RW | 24 | 950,000$ | 950,000$ | RFA | ||||||
Quinton Byfield ![]() | C | 20 | 894,167$ | 894,167$ | 894,167$ | ||||||
Riley Damiani ![]() | C | 22 | 803,333$ | 803,333$ | RFA | ||||||
Ryan Lomberg ![]() | C/LW | 28 | 750,000$ | 750,000$ | 750,000$ | ||||||
Samuel Fagemo ![]() | LW/RW | 22 | 795,000$ | 795,000$ | RFA | ||||||
Urho Vaakanainen ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 32 | 15 | 14 | 3 | 2 | 40 | 12 | 0 | 34 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 23 | 14 | 23 | 9 | 18 | 9 | 50.0% | 12.5% | 92.5% | 105.0 | LUCKY | |
2 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 18 | -4 | 4 | 0.400 | 14 | 24 | 38 | 0 | 0 | 2 | 9 | 3 | 0 | 174 | 53 | 54 | 67 | 0 | 179 | 49 | 14 | 107 | 6 | 1 | 16.67% | 7 | 3 | 57.14% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 103 | 63 | 113 | 43 | 82 | 39 | 46.4% | 8.0% | 89.9% | 98.0 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 37 | 8 | 6 | 23 | 0 | 30 | 6 | 6 | 27 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 23 | 13 | 19 | 9 | 16 | 8 | 50.0% | 10.8% | 83.3% | 94.1 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 3 | 2 | 0 | 36 | 8 | 12 | 16 | 0 | 32 | 9 | 2 | 24 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 21 | 12 | 21 | 8 | 17 | 8 | 62.5% | 13.9% | 90.6% | 104.5 | FUN | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 3 | 1 | 0 | 38 | 11 | 17 | 10 | 0 | 31 | 5 | 0 | 34 | 1 | 1 | 100.00% | 0 | 0 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 22 | 13 | 20 | 7 | 17 | 8 | 60.0% | 10.5% | 93.5% | 104.1 | LUCKY | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 36 | 15 | 5 | 16 | 0 | 33 | 8 | 2 | 31 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 22 | 13 | 20 | 8 | 17 | 8 | 20.0% | 2.8% | 87.9% | 90.7 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 69 | 20 | 24 | 25 | 0 | 77 | 20 | 2 | 35 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 43 | 28 | 44 | 15 | 32 | 16 | 20.0% | 2.9% | 88.3% | 91.2 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 31 | 7 | 10 | 14 | 0 | 47 | 9 | 6 | 26 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 20 | 12 | 23 | 8 | 16 | 8 | 50.0% | 6.5% | 93.6% | 100.1 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 38 | 12 | 18 | 8 | 0 | 31 | 7 | 0 | 22 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 24 | 15 | 18 | 8 | 16 | 8 | 42.9% | 7.9% | 87.1% | 95.0 | Unlucky | |
10 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 0.667 | 8 | 12 | 20 | 1 | 0 | 3 | 2 | 3 | 0 | 101 | 27 | 37 | 37 | 0 | 98 | 53 | 8 | 80 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 65 | 40 | 67 | 23 | 47 | 23 | 61.5% | 7.9% | 94.9% | 102.8 | DULL | |
11 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 3 | 1 | 2 | 2 | 64 | 30 | 20 | 9 | 10 | 65 | 16 | 8 | 52 | 0 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 43 | 27 | 46 | 17 | 34 | 16 | 63.6% | 10.9% | 92.3% | 103.2 | LUCKY | |
12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 0 | 5 | 1 | 0 | 76 | 23 | 30 | 23 | 0 | 56 | 23 | 6 | 51 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 47 | 29 | 38 | 16 | 33 | 17 | 40.0% | 7.9% | 82.1% | 90.0 | Unlucky | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 1 | 2 | 1 | 0 | 37 | 9 | 19 | 9 | 0 | 34 | 12 | 6 | 19 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 20 | 12 | 23 | 9 | 16 | 7 | 75.0% | 10.8% | 97.1% | 107.9 | LUCKY | |
14 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 11 | 9 | 2 | 6 | 0.750 | 11 | 17 | 28 | 0 | 0 | 3 | 3 | 4 | 2 | 142 | 53 | 44 | 43 | 7 | 106 | 55 | 16 | 94 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 89 | 55 | 87 | 35 | 67 | 33 | 55.6% | 7.7% | 91.5% | 99.3 | DULL | |
15 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 6 | 0.750 | 9 | 16 | 25 | 0 | 0 | 1 | 5 | 3 | 0 | 128 | 42 | 47 | 39 | 0 | 111 | 39 | 12 | 135 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 86 | 49 | 82 | 36 | 71 | 36 | 60.0% | 7.0% | 93.7% | 100.7 | DULL | |
16 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 0.500 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 0 | 130 | 44 | 40 | 46 | 0 | 140 | 33 | 12 | 101 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 90 | 56 | 83 | 33 | 66 | 34 | 46.7% | 6.9% | 92.9% | 99.8 | DULL | |
17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 21 | 8 | 11 | 2 | 0 | 17 | 7 | 2 | 22 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 20 | 10 | 19 | 9 | 19 | 10 | 75.0% | 14.3% | 94.1% | 108.4 | LUCKY | |
18 | 4 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 10 | 13 | -3 | 3 | 0.375 | 10 | 16 | 26 | 0 | 0 | 0 | 6 | 3 | 1 | 144 | 54 | 40 | 49 | 3 | 109 | 33 | 10 | 112 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 98 | 61 | 75 | 31 | 71 | 36 | 42.9% | 6.9% | 88.1% | 95.0 | Unlucky | |
19 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 2 | 0 | 42 | 16 | 14 | 12 | 3 | 40 | 9 | 6 | 23 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 25 | 15 | 23 | 8 | 16 | 7 | 37.5% | 9.5% | 87.5% | 97.0 | FUN | |
20 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 9 | -1 | 3 | 0.500 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 94 | 45 | 26 | 23 | 0 | 98 | 28 | 8 | 63 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 64 | 38 | 60 | 26 | 54 | 27 | 47.1% | 8.5% | 90.8% | 99.3 | Unlucky | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 33 | 10 | 11 | 12 | 0 | 27 | 10 | 2 | 23 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 21 | 13 | 21 | 8 | 16 | 8 | 40.0% | 6.1% | 88.9% | 94.9 | Unlucky | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 0 | 2 | 4 | 0 | 29 | 6 | 11 | 12 | 0 | 37 | 11 | 4 | 28 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 19 | 10 | 23 | 9 | 17 | 8 | 71.4% | 20.7% | 94.6% | 115.3 | LUCKY | |
23 | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 10 | 17 | 0 | 0 | 2 | 1 | 2 | 3 | 100 | 33 | 37 | 23 | 10 | 97 | 35 | 8 | 87 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 69 | 41 | 65 | 26 | 52 | 26 | 58.3% | 7.0% | 93.8% | 100.8 | DULL | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 13 | 10 | 9 | 0 | 31 | 12 | 2 | 23 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 23 | 14 | 20 | 8 | 15 | 8 | 66.7% | 6.3% | 96.8% | 103.0 | DULL | |
_Vs Division | 21 | 8 | 8 | 0 | 1 | 1 | 2 | 1 | 58 | 59 | -1 | 24 | 0.571 | 58 | 93 | 151 | 1 | 0 | 14 | 24 | 17 | 5 | 719 | 262 | 221 | 228 | 20 | 655 | 234 | 64 | 508 | 19 | 3 | 15.79% | 32 | 6 | 81.25% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 465 | 286 | 451 | 178 | 358 | 177 | 50.9% | 8.1% | 91.0% | 99.1 | Unlucky | |
_Vs Conference | 38 | 15 | 16 | 0 | 2 | 1 | 3 | 1 | 98 | 105 | -7 | 42 | 0.553 | 98 | 160 | 258 | 2 | 0 | 21 | 43 | 29 | 8 | 1290 | 445 | 421 | 409 | 30 | 1199 | 405 | 108 | 964 | 42 | 5 | 11.90% | 53 | 12 | 77.36% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 847 | 519 | 808 | 324 | 647 | 325 | 50.0% | 7.6% | 91.2% | 98.8 | DULL | |
_Since Last GM Reset | 49 | 19 | 21 | 0 | 2 | 1 | 4 | 2 | 135 | 138 | -3 | 53 | 0.541 | 135 | 217 | 352 | 2 | 0 | 28 | 57 | 44 | 9 | 1664 | 562 | 557 | 530 | 35 | 1566 | 501 | 142 | 1253 | 73 | 10 | 13.70% | 70 | 14 | 80.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 1092 | 665 | 1045 | 421 | 835 | 420 | 50.2% | 8.1% | 91.2% | 99.3 | DULL | |
Total | 49 | 19 | 21 | 0 | 2 | 1 | 4 | 2 | 135 | 138 | -3 | 53 | 0.541 | 135 | 217 | 352 | 2 | 0 | 28 | 57 | 44 | 9 | 1664 | 562 | 557 | 530 | 35 | 1566 | 501 | 142 | 1253 | 73 | 10 | 13.70% | 70 | 14 | 80.00% | 0 | 585 | 1173 | 49.87% | 571 | 1151 | 49.61% | 346 | 686 | 50.44% | 1092 | 665 | 1045 | 421 | 835 | 420 | 50.2% | 8.1% | 91.2% | 99.3 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1173 |
Neutral Zone Start | 686 |
Defensive Zone Start | 1151 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1502 |
Faceoffs Lost | 1508 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.5 | 9.57 |
2nd Period | 22.8 | 20.31 |
3rd Period | 33.7 | 30.68 |
Overtime | 34.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 123 |
---|---|
PP Goal | 10 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 13 |
Lost | 11 | 10 |
Overtime Lost | 1 | 2 |
PP Attempt | 73 |
---|---|
PP Goal | 10 |
PK Attempt | 70 |
PK Goal Against | 14 |
Home | |
---|---|
Shots For | 34.0 |
Shots Against | 32.0 |
Goals For | 2.8 |
Goals Against | 2.8 |
Hits | 25.6 |
Shots Blocked | 10.2 |
Pim | 2.9 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-09-29 | VS | WPG1,NSH4 | RECAP | |||||||||||
2022-10-02 | VS | ARI3,NSH2 | RECAP | |||||||||||
2022-10-05 | VS | NSH3,DAL2 | RECAP | |||||||||||
2022-10-07 | VS | NSH2,CHI1 (SO) | RECAP | |||||||||||
2022-10-08 | VS | NSH4,MIN2 | RECAP | |||||||||||
2022-10-10 | VS | NSH1,EDM3 | RECAP | |||||||||||
2022-10-12 | VS | WPG2,NSH4 | RECAP | |||||||||||
2022-10-16 | VS | WPG2,NSH0 | RECAP | |||||||||||
2022-10-19 | VS | NSH2,EDM4 | RECAP | |||||||||||
2022-10-21 | VS | NSH4,LAK2 | RECAP | |||||||||||
2022-10-23 | VS | ARI3,NSH1 | RECAP | |||||||||||
2022-10-27 | VS | COL5,NSH2 | RECAP | |||||||||||
2022-10-29 | VS | NSH2,COL5 | RECAP | |||||||||||
2022-10-31 | VS | NSH3,CGY5 | RECAP | |||||||||||
2022-11-02 | VS | SEA6,NSH1 | RECAP | |||||||||||
2022-11-05 | VS | NSH2,LAK1 | RECAP | |||||||||||
2022-11-08 | VS | LAK1,NSH2 | RECAP | |||||||||||
2022-11-10 | VS | NSH2,MIN4 | RECAP | |||||||||||
2022-11-13 | VS | NSH4,PHI2 | RECAP | |||||||||||
2022-11-15 | VS | BOS3,NSH4 (SO) | RECAP | |||||||||||
2022-11-18 | VS | CHI3,NSH4 | RECAP | |||||||||||
2022-11-22 | VS | NSH2,MIN3 (OT) | RECAP | |||||||||||
2022-11-25 | VS | ARI5,NSH4 (SO) | RECAP | |||||||||||
2022-11-30 | VS | NSH4,CHI3 | RECAP | |||||||||||
2022-12-01 | VS | NJD1,NSH4 | RECAP | |||||||||||
2022-12-06 | VS | NSH1,CHI2 | RECAP | |||||||||||
2022-12-08 | VS | COL6,NSH1 | RECAP | |||||||||||
2022-12-12 | VS | PIT4,NSH1 | RECAP | |||||||||||
2022-12-17 | VS | COL1,NSH6 | RECAP | |||||||||||
2022-12-20 | VS | NSH3,Buf4 | RECAP | |||||||||||
2022-12-24 | VS | ANA1,NSH2 | RECAP | |||||||||||
2022-12-26 | VS | NSH3,COL1 | RECAP | |||||||||||
2022-12-28 | VS | NSH3,EDM2 | RECAP | |||||||||||
2022-12-30 | VS | NSH4,OTT5 (SO) | RECAP | |||||||||||
2022-12-31 | VS | DAL3,NSH4 (SO) | RECAP | |||||||||||
2023-01-04 | VS | NSH0,SJS1 | RECAP | |||||||||||
2023-01-06 | VS | TBL2,NSH6 | RECAP | |||||||||||
2023-01-10 | VS | CGY5,NSH3 | RECAP | |||||||||||
2023-01-12 | VS | NSH3,CBJ1 | RECAP | |||||||||||
2023-01-13 | VS | NSH4,SJS3 (SO) | RECAP | |||||||||||
2023-01-16 | VS | TOR5,NSH4 | RECAP | |||||||||||
2023-01-19 | VS | NSH5,VAN3 | RECAP | |||||||||||
2023-01-21 | VS | NYR3,NSH2 | RECAP | |||||||||||
2023-01-26 | VS | NSH1,SEA3 | RECAP | |||||||||||
2023-01-27 | VS | SJS2,NSH3 (OT) | RECAP | |||||||||||
2023-02-01 | VS | WSH3,NSH2 | RECAP | |||||||||||
2023-02-03 | VS | NSH1,LAK3 | RECAP | |||||||||||
2023-02-05 | VS | NSH3,EDM1 | RECAP | |||||||||||
2023-02-07 | VS | ARI2,NSH3 (OT) | RECAP | |||||||||||
2023-02-09 | VS | |||||||||||||
2023-02-11 | VS | |||||||||||||
2023-02-17 | VS | |||||||||||||
2023-02-23 | VS | |||||||||||||
2023-02-25 | VS | |||||||||||||
2023-03-01 | VS | |||||||||||||
2023-03-05 | VS | |||||||||||||
2023-03-09 | VS | |||||||||||||
2023-03-11 | VS | |||||||||||||
2023-03-12 | VS | |||||||||||||
2023-03-16 | VS | |||||||||||||
2023-03-17 | VS | |||||||||||||
2023-03-21 | VS | |||||||||||||
2023-03-22 | VS | |||||||||||||
2023-03-26 | VS | |||||||||||||
2023-03-28 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-30 | VS | |||||||||||||
2023-04-02 | VS | |||||||||||||
2023-04-04 | VS | |||||||||||||
2023-04-08 | VS | |||||||||||||
2023-04-12 | VS | |||||||||||||
2023-04-17 | VS | |||||||||||||
2023-04-19 | VS | |||||||||||||
2023-04-20 | VS | |||||||||||||
2023-04-23 | VS | |||||||||||||
2023-04-25 | VS | |||||||||||||
2023-04-30 | VS | |||||||||||||
2023-05-02 | VS | |||||||||||||
2023-05-07 | VS | |||||||||||||
2023-05-08 | VS | |||||||||||||
2023-05-12 | VS | |||||||||||||
2023-05-15 | VS | |||||||||||||
2023-05-17 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,978,865$ | 0$ | 84,978,865$ | 21,135$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Bridgestone Arena | |
City | Nashville | ||
Capacity | 17113 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5000 | 2000 | 3113 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 125036 | 105838 | 47874 | 73934 | 24000 |
Attendance PCT | 86.83% | 88.20% | 99.74% | 98.96% | 100.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 15695 - 91.71% | 1,994,820$ | 47,875,687$ | 17113 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,978,865$ | 83,238,865$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
46,975,082$ | 84,978,865$ | 46,400,631$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
33,911,945$ | 100 | 365,868$ | 36,586,800$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
37,918,960$ | 84,978,865$ | 87,667,042$ | 87,088,661$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Linus Karlsson | |||||
Akil Thomas | |||||
Alexander Holtz | 2020 | 9 | |||
Alexander Suzdalev | |||||
Benjamin Gaudreau | |||||
Carson Lambos | 2021 | 38 | |||
Colin Wilson | 2008 | 7 | 0 | Link | |
Danil Gushin | |||||
David Goyette | |||||
Dylan Peterson | |||||
Egor Afanasyev | |||||
Elliot Desnoyers | |||||
Elmer Soderblom | |||||
Felip Mesar | |||||
Fyodor Svechkov | 2021 | 19 | |||
Gleb Trikozov | |||||
Hugo Alnefelt | 2020 | ||||
Jack McBain | |||||
Jake Neighbours | |||||
Jesper Wallstedt | 2021 | 13 | |||
John Ludvig | |||||
Jordan Spence | |||||
Mikko Lehtonen | |||||
Nick Perbix | |||||
Oliwer Kaski | |||||
Robin Salo | |||||
Ronnie Attard | |||||
Rutger McGroarty | |||||
Samuel Knazko | |||||
Topi Niemela | |||||
Tyler Boucher | 2021 | 43 | |||
Tyson Foerster | |||||
Vasili Ponomarev | |||||
William Wallinder |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
2023 | |||||
2024 | |||||
2025 | |||||
2026 | |||||
2027 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Linus Karlsson | |||||
Akil Thomas | |||||
Alexander Holtz | 2020 | 9 | |||
Alexander Suzdalev | |||||
Benjamin Gaudreau | |||||
Carson Lambos | 2021 | 38 | |||
Colin Wilson | 2008 | 7 | 0 | Link | |
Danil Gushin | |||||
David Goyette | |||||
Dylan Peterson | |||||
Egor Afanasyev | |||||
Elliot Desnoyers | |||||
Elmer Soderblom | |||||
Felip Mesar | |||||
Fyodor Svechkov | 2021 | 19 | |||
Gleb Trikozov | |||||
Hugo Alnefelt | 2020 | ||||
Jack McBain | |||||
Jake Neighbours | |||||
Jesper Wallstedt | 2021 | 13 | |||
John Ludvig | |||||
Jordan Spence | |||||
Mikko Lehtonen | |||||
Nick Perbix | |||||
Oliwer Kaski | |||||
Robin Salo | |||||
Ronnie Attard | |||||
Rutger McGroarty | |||||
Samuel Knazko | |||||
Topi Niemela | |||||
Tyler Boucher | 2021 | 43 | |||
Tyson Foerster | |||||
Vasili Ponomarev | |||||
William Wallinder |
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