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Tampa Bay Lightning 17-23-5, 39pts · 14th in Eastern 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 | RW | 100.00 | 90 | 87 | 71 | 64 | 86 | 79 | 83 | 62 | 59 | 66 | 63 | 56 | 61 | 77 | 72 | 66 | 69 | 0 | 32 | 5,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 74 | 36 | 82 | 65 | 86 | 87 | 73 | 66 | 54 | 67 | 70 | 63 | 72 | 83 | 76 | 34 | 55 | 0 | 35 | 6,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 56 | 34 | 85 | 74 | 68 | 83 | 79 | 72 | 69 | 66 | 71 | 59 | 76 | 64 | 67 | 72 | 73 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 84 | 75 | 80 | 64 | 96 | 78 | 79 | 67 | 75 | 68 | 64 | 65 | 63 | 66 | 68 | 83 | 73 | 0 | 24 | 1,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 72 | 36 | 91 | 66 | 83 | 81 | 82 | 67 | 59 | 64 | 72 | 61 | 70 | 62 | 64 | 80 | 73 | 0 | 22 | 863,333$/2yrs | |||
![]() | 0 | LW | 100.00 | 66 | 37 | 91 | 67 | 76 | 88 | 87 | 66 | 63 | 68 | 65 | 62 | 67 | 63 | 65 | 68 | 73 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 66 | 37 | 88 | 70 | 87 | 85 | 92 | 71 | 83 | 72 | 66 | 78 | 70 | 78 | 74 | 64 | 72 | 0 | 30 | 4,500,000$/4yrs | |||
![]() | 0 | C | 100.00 | 64 | 36 | 91 | 73 | 80 | 86 | 88 | 74 | 85 | 72 | 67 | 71 | 72 | 75 | 77 | 73 | 73 | 0 | 28 | 6,375,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 38 | 86 | 71 | 79 | 86 | 89 | 70 | 82 | 67 | 68 | 71 | 72 | 63 | 64 | 88 | 73 | 0 | 22 | 1,775,000$/2yrs | |||
![]() | 0 | C | 100.00 | 73 | 38 | 87 | 65 | 80 | 79 | 85 | 67 | 76 | 66 | 65 | 64 | 68 | 63 | 66 | 82 | 64 | 0 | 22 | 863,333$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 39 | 93 | 66 | 81 | 80 | 82 | 64 | 77 | 63 | 67 | 62 | 65 | 67 | 69 | 61 | 74 | 0 | 26 | 975,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 62 | 36 | 85 | 66 | 72 | 84 | 86 | 67 | 63 | 67 | 65 | 59 | 68 | 66 | 64 | 58 | 71 | 0 | 24 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 34 | 86 | 73 | 68 | 79 | 84 | 71 | 66 | 70 | 63 | 59 | 72 | 61 | 63 | 82 | 54 | 0 | 21 | 863,333$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 38 | 84 | 71 | 77 | 86 | 87 | 70 | 30 | 71 | 60 | 62 | 51 | 63 | 65 | 81 | 73 | 0 | 23 | 825,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 38 | 80 | 66 | 91 | 95 | 83 | 62 | 30 | 74 | 67 | 92 | 51 | 84 | 73 | 49 | 57 | 0 | 34 | 6,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 89 | 36 | 87 | 66 | 81 | 95 | 82 | 65 | 30 | 68 | 67 | 81 | 55 | 62 | 64 | 73 | 63 | 0 | 23 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 34 | 84 | 73 | 69 | 87 | 86 | 70 | 30 | 77 | 61 | 58 | 53 | 61 | 64 | 89 | 72 | 0 | 20 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 39 | 85 | 67 | 78 | 84 | 86 | 63 | 30 | 68 | 59 | 74 | 50 | 65 | 67 | 77 | 73 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 59 | 78 | 77 | 75 | 91 | 89 | 73 | 30 | 78 | 69 | 65 | 57 | 68 | 69 | 67 | 64 | 0 | 26 | 4,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 82.66 | 83 | 45 | 87 | 74 | 68 | 95 | 90 | 70 | 91 | 71 | 73 | 84 | 70 | 75 | 72 | 50 | 61 | 0 | 30 | 7,142,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 72 | 38 | 91 | 59 | 78 | 83 | 84 | 58 | 62 | 59 | 60 | 57 | 61 | 66 | 67 | 81 | 51 | 0 | 25 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.14 | 70 | 42 | 85 | 68 | 79 | 85 | 85 | 67 | 59 | 69 | 66 | 67 | 64 | 68 | 68 | 70 | 67 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 82 | 72 | 71 | 87 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 90 | 89 | 50 | 62 | 0 | 35 | 10,500,000$/4yrs |
![]() | 0 | 100.00 | 83 | 86 | 84 | 85 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 61 | 65 | 85 | 73 | 0 | 21 | 925,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 83 | 79 | 78 | 86 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 76 | 77 | 68 | 68 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Martin St. Louis | 84 | 76 | 79 | 77 | 71 | 66 | 78 | CAN | 47 | 3 | 1,000,000$ |
General Manager | Sebastien Filion |
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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 | Charlie Coyle | 0 | C/RW | 44 | 20 | 24 | 44 | -2 | 8 | 0 | 82 | 209 | 60 | 117 | 9.57% | 24 | 22.66 | 3 | 7 | 10 | 78 | 0 | 0 | 0 | 77 | 2 | 1 | 55.56% | 99 | 34 | 22 | 0 | 1 | 0.88 | 1 | 3 | ||
2 | Sean Monahan | 0 | C | 45 | 21 | 16 | 37 | -5 | 13 | 5 | 64 | 155 | 44 | 97 | 13.55% | 23 | 18.17 | 4 | 3 | 7 | 60 | 2 | 0 | 2 | 30 | 1 | 0 | 50.73% | 617 | 34 | 14 | 0 | 0 | 0.90 | 1 | 2 | ||
3 | Fabian Zetterlund | 0 | LW | 45 | 12 | 19 | 31 | 7 | 4 | 0 | 72 | 119 | 34 | 78 | 10.08% | 21 | 18.05 | 2 | 2 | 4 | 75 | 0 | 0 | 0 | 0 | 0 | 1 | 45.83% | 48 | 31 | 25 | 0 | 0 | 0.76 | 0 | 0 | ||
4 | Vince Dunn | 0 | D | 45 | 7 | 19 | 26 | -15 | 26 | 0 | 64 | 112 | 37 | 32 | 6.25% | 45 | 22.74 | 3 | 5 | 8 | 70 | 0 | 1 | 1 | 63 | 0 | 1 | 0.00% | 0 | 34 | 27 | 0 | 0 | 0.51 | 0 | 0 | ||
5 | Jean-Gabriel Pageau | 0 | C | 41 | 7 | 17 | 24 | 6 | 2 | 0 | 70 | 97 | 35 | 66 | 7.22% | 14 | 13.33 | 1 | 0 | 1 | 8 | 0 | 1 | 1 | 27 | 1 | 0 | 54.60% | 348 | 29 | 12 | 1 | 0 | 0.88 | 1 | 2 | ||
6 | James Neal | 0 | LW | 37 | 5 | 12 | 17 | -11 | 18 | 0 | 60 | 62 | 23 | 40 | 8.06% | 18 | 16.42 | 1 | 2 | 3 | 31 | 0 | 0 | 0 | 28 | 1 | 0 | 39.62% | 53 | 12 | 18 | 0 | 0 | 0.56 | 0 | 0 | ||
7 | Barrett Hayton | 0 | C | 45 | 10 | 6 | 16 | -12 | 12 | 0 | 50 | 113 | 30 | 64 | 8.85% | 15 | 13.77 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 26 | 3 | 1 | 51.46% | 309 | 20 | 15 | 0 | 0 | 0.52 | 0 | 1 | ||
8 | Erik Johnson | 0 | D | 43 | 2 | 13 | 15 | -23 | 20 | 0 | 87 | 53 | 26 | 19 | 3.77% | 79 | 25.54 | 0 | 1 | 1 | 69 | 0 | 1 | 1 | 74 | 0 | 0 | 0.00% | 0 | 18 | 58 | 0 | 0 | 0.27 | 0 | 1 | ||
9 | Martin Fehervary | 0 | D | 45 | 2 | 11 | 13 | -15 | 10 | 0 | 106 | 72 | 30 | 31 | 2.78% | 88 | 27.39 | 1 | 1 | 2 | 91 | 0 | 0 | 0 | 85 | 0 | 0 | 0.00% | 0 | 22 | 45 | 0 | 0 | 0.21 | 1 | 1 | ||
10 | John Leonard | 0 | LW | 45 | 6 | 7 | 13 | -10 | 8 | 0 | 56 | 83 | 24 | 58 | 7.23% | 12 | 12.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 12 | 15 | 7 | 0 | 0 | 0.45 | 0 | 0 | ||
11 | Nolan Foote | 0 | LW | 45 | 7 | 4 | 11 | -13 | 0 | 0 | 44 | 51 | 25 | 33 | 13.73% | 15 | 11.95 | 0 | 1 | 1 | 35 | 0 | 0 | 0 | 12 | 1 | 1 | 15.38% | 13 | 11 | 9 | 0 | 0 | 0.41 | 0 | 0 | ||
12 | Philip Tomasino | 0 | C/RW | 36 | 7 | 4 | 11 | -10 | 2 | 0 | 23 | 75 | 21 | 36 | 9.33% | 10 | 13.59 | 0 | 0 | 0 | 20 | 0 | 0 | 0 | 1 | 3 | 0 | 46.43% | 28 | 9 | 4 | 0 | 0 | 0.45 | 0 | 0 | ||
13 | Jamie Drysdale | 0 | D | 45 | 0 | 9 | 9 | 3 | 8 | 0 | 31 | 28 | 10 | 10 | 0.00% | 22 | 13.53 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 9 | 13 | 0 | 0 | 0.30 | 0 | 0 | ||
14 | Pierre-Olivier Joseph | 0 | D | 45 | 1 | 7 | 8 | -1 | 14 | 0 | 31 | 26 | 8 | 14 | 3.85% | 27 | 15.20 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 4 | 25 | 0 | 0 | 0.23 | 0 | 0 | ||
15 | Jacob Larsson | 0 | D | 45 | 0 | 7 | 7 | -5 | 8 | 0 | 36 | 32 | 16 | 13 | 0.00% | 37 | 17.30 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 10 | 29 | 0 | 0 | 0.18 | 0 | 0 | ||
16 | Jonathan Dahlen | 0 | C | 45 | 4 | 1 | 5 | 0 | 2 | 0 | 12 | 26 | 8 | 22 | 15.38% | 3 | 4.86 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 14 | 1 | 0 | 35.71% | 28 | 5 | 8 | 0 | 0 | 0.46 | 0 | 0 | ||
17 | Logan Brown | 0 | C | 45 | 1 | 4 | 5 | -13 | 4 | 0 | 34 | 21 | 6 | 6 | 4.76% | 3 | 5.73 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 52.04% | 98 | 1 | 2 | 0 | 0 | 0.39 | 0 | 0 | ||
18 | Zack Kassian | 0 | RW | 39 | 0 | 3 | 3 | -9 | 14 | 0 | 75 | 25 | 9 | 11 | 0.00% | 14 | 10.59 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 12 | 0 | 0 | 46.67% | 15 | 5 | 9 | 0 | 0 | 0.15 | 0 | 0 | ||
19 | Rasmus Kupari | 0 | C | 25 | 0 | 3 | 3 | -4 | 2 | 0 | 17 | 11 | 4 | 7 | 0.00% | 1 | 6.03 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 36.21% | 58 | 0 | 4 | 0 | 0 | 0.40 | 0 | 1 | ||
20 | Zach Senyshyn | 0 | RW | 39 | 1 | 1 | 2 | 3 | 4 | 0 | 15 | 10 | 3 | 4 | 10.00% | 3 | 5.97 | 0 | 0 | 0 | 18 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 8 | 4 | 2 | 0 | 0 | 0.17 | 0 | 0 | ||
21 | Michael Amadio | 0 | C | 23 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 0 | 1 | 0 | 0.00% | 0 | 1.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 54.55% | 11 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 867 | 113 | 187 | 300 | -128 | 179 | 5 | 1031 | 1380 | 454 | 758 | 8.19% | 474 | 14.69 | 15 | 23 | 38 | 633 | 2 | 4 | 6 | 562 | 13 | 6 | 50.54% | 1745 | 307 | 348 | 1 | 1 | 0.47 | 4 | 11 |
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 | Spencer Knight | 38 | 13 | 18 | 4 | 0.900 | 3.43 | 2153 | 2 | 0 | 123 | 1227 | 590 | 1 | 1 | 0.600 | 10 | 36 | 9 | 3 | 3 | 0 | |
2 | Carey Price | 9 | 2 | 4 | 1 | 0.895 | 3.80 | 411 | 0 | 0 | 26 | 247 | 120 | 1 | 0 | 0.000 | 0 | 6 | 33 | 1 | 0 | 0 | |
Team Total or Average | 47 | 15 | 22 | 5 | 0.899 | 3.49 | 2565 | 2 | 0 | 149 | 1474 | 710 | 2 | 1 | 0.600 | 10 | 42 | 42 | 4 | 3 | 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 |
# | 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 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.333 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 107 | 41 | 37 | 29 | 0 | 119 | 38 | 14 | 70 | 7 | 1 | 14.29% | 7 | 3 | 57.14% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 62 | 37 | 67 | 25 | 49 | 25 | 53.3% | 8.4% | 91.6% | 100.0 | DULL | |
2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 1 | 57 | 13 | 19 | 24 | 4 | 80 | 26 | 4 | 54 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 37 | 19 | 51 | 17 | 36 | 18 | 50.0% | 7.0% | 96.3% | 103.3 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 40 | 8 | 22 | 10 | 0 | 31 | 7 | 2 | 15 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 23 | 14 | 19 | 8 | 16 | 9 | 83.3% | 12.5% | 96.8% | 109.3 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 2 | 0 | 36 | 10 | 12 | 14 | 0 | 41 | 14 | 2 | 25 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 18 | 11 | 26 | 8 | 14 | 7 | 66.7% | 8.3% | 97.6% | 105.9 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 37 | 9 | 20 | 8 | 0 | 29 | 10 | 8 | 25 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 23 | 13 | 19 | 9 | 17 | 8 | 28.6% | 5.4% | 79.3% | 84.7 | Unlucky | |
6 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 11 | 15 | -4 | 3 | 0.375 | 11 | 15 | 26 | 0 | 0 | 0 | 9 | 2 | 0 | 138 | 39 | 63 | 34 | 2 | 118 | 33 | 14 | 108 | 10 | 3 | 30.00% | 7 | 3 | 57.14% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 85 | 48 | 86 | 36 | 71 | 35 | 40.0% | 8.0% | 87.3% | 95.3 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 37 | 13 | 12 | 12 | 0 | 37 | 14 | 4 | 24 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 20 | 12 | 22 | 9 | 16 | 7 | 83.3% | 16.2% | 94.6% | 110.8 | LUCKY | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 12 | 6 | 12 | 0 | 35 | 11 | 8 | 27 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 18 | 9 | 23 | 9 | 17 | 9 | 25.0% | 3.3% | 88.6% | 91.9 | Unlucky | |
9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 4 | 0.667 | 15 | 24 | 39 | 0 | 0 | 5 | 5 | 5 | 0 | 120 | 25 | 42 | 53 | 0 | 111 | 28 | 19 | 78 | 11 | 5 | 45.45% | 7 | 3 | 57.14% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 66 | 40 | 61 | 25 | 51 | 24 | 55.6% | 12.5% | 90.1% | 102.6 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 6 | 10 | 10 | 0 | 33 | 6 | 4 | 14 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 17 | 8 | 24 | 9 | 18 | 9 | 20.0% | 7.7% | 87.9% | 95.6 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 25 | 3 | 12 | 10 | 0 | 40 | 10 | 2 | 29 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 16 | 7 | 25 | 9 | 18 | 8 | 20.0% | 8.0% | 90.0% | 98.0 | Unlucky | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 0 | 2 | 3 | 2 | 68 | 13 | 20 | 29 | 8 | 72 | 12 | 8 | 51 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 1 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 42 | 23 | 43 | 18 | 38 | 18 | 35.7% | 8.8% | 87.5% | 96.3 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 61 | 22 | 19 | 20 | 0 | 67 | 17 | 4 | 40 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 39 | 20 | 45 | 16 | 35 | 18 | 50.0% | 8.2% | 92.5% | 100.7 | DULL | |
14 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 44 | 2 | 22 | 20 | 0 | 40 | 16 | 4 | 16 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 20 | 13 | 27 | 9 | 16 | 7 | 40.0% | 6.8% | 90.0% | 96.8 | Unlucky | |
15 | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 9 | 17 | -8 | 3 | 0.375 | 9 | 12 | 21 | 0 | 0 | 2 | 2 | 4 | 1 | 111 | 39 | 27 | 36 | 9 | 130 | 46 | 24 | 91 | 7 | 1 | 14.29% | 12 | 2 | 83.33% | 1 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 78 | 42 | 91 | 37 | 75 | 38 | 34.8% | 8.1% | 86.9% | 95.0 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 41 | 9 | 13 | 19 | 0 | 34 | 14 | 4 | 29 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 22 | 13 | 20 | 8 | 17 | 8 | 75.0% | 7.3% | 97.1% | 104.4 | DULL | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 5 | 10 | 0 | 0 | 1 | 1 | 3 | 0 | 65 | 18 | 20 | 27 | 0 | 72 | 21 | 10 | 53 | 6 | 1 | 16.67% | 6 | 3 | 50.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 42 | 24 | 44 | 16 | 33 | 17 | 36.4% | 7.7% | 86.1% | 93.8 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 6 | 18 | 14 | 0 | 34 | 9 | 4 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 21 | 12 | 20 | 9 | 17 | 9 | 66.7% | 5.3% | 97.1% | 102.3 | DULL | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 31 | 7 | 16 | 8 | 0 | 38 | 12 | 6 | 23 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 18 | 10 | 24 | 9 | 16 | 7 | 57.1% | 12.9% | 92.1% | 105.0 | LUCKY | |
20 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 6 | 10 | 1 | 0 | 1 | 1 | 2 | 0 | 102 | 27 | 29 | 46 | 0 | 95 | 40 | 14 | 82 | 7 | 1 | 14.29% | 7 | 3 | 57.14% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 67 | 41 | 61 | 26 | 51 | 24 | 30.0% | 3.9% | 89.5% | 93.4 | Unlucky | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 21 | 2 | 6 | 13 | 0 | 30 | 10 | 0 | 27 | 1 | 1 | 100.00% | 0 | 0 | 0.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 16 | 7 | 24 | 8 | 19 | 9 | 33.3% | 14.3% | 86.7% | 101.0 | FUN | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 61 | 27 | 22 | 12 | 0 | 81 | 25 | 10 | 46 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 41 | 24 | 45 | 17 | 33 | 15 | 33.3% | 6.6% | 90.1% | 96.7 | Unlucky | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 2 | 2 | 3 | 0 | 48 | 17 | 21 | 10 | 0 | 62 | 14 | 6 | 49 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 34 | 16 | 44 | 20 | 40 | 18 | 63.6% | 14.6% | 93.5% | 108.1 | LUCKY | |
24 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 1 | 37 | 8 | 16 | 12 | 6 | 31 | 13 | 4 | 31 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 22 | 13 | 24 | 9 | 18 | 8 | 42.9% | 8.1% | 87.1% | 95.2 | Unlucky | |
25 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 18 | -6 | 2 | 0.333 | 12 | 21 | 33 | 0 | 0 | 0 | 4 | 8 | 0 | 100 | 25 | 36 | 39 | 0 | 104 | 36 | 12 | 64 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 63 | 39 | 70 | 23 | 46 | 23 | 41.4% | 12.0% | 82.7% | 94.7 | FUN | |
_Vs Division | 17 | 5 | 12 | 0 | 0 | 0 | 0 | 0 | 54 | 68 | -14 | 10 | 0.294 | 54 | 84 | 138 | 1 | 0 | 12 | 19 | 23 | 0 | 595 | 171 | 208 | 216 | 0 | 613 | 195 | 81 | 408 | 38 | 9 | 23.68% | 39 | 15 | 61.54% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 366 | 222 | 370 | 144 | 282 | 140 | 45.9% | 9.1% | 88.9% | 98.0 | FUN | |
_Vs Conference | 30 | 8 | 18 | 0 | 1 | 2 | 0 | 1 | 87 | 116 | -29 | 21 | 0.350 | 87 | 133 | 220 | 1 | 0 | 15 | 38 | 33 | 2 | 1003 | 298 | 355 | 338 | 17 | 1032 | 327 | 141 | 728 | 61 | 13 | 21.31% | 69 | 21 | 69.57% | 1 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 630 | 367 | 666 | 263 | 517 | 258 | 43.8% | 8.7% | 88.8% | 97.4 | Unlucky | |
_Since Last GM Reset | 45 | 15 | 23 | 0 | 1 | 3 | 1 | 2 | 130 | 159 | -29 | 39 | 0.433 | 130 | 201 | 331 | 1 | 0 | 19 | 55 | 54 | 5 | 1481 | 401 | 540 | 521 | 29 | 1564 | 482 | 191 | 1094 | 87 | 21 | 24.14% | 95 | 24 | 74.74% | 2 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 923 | 530 | 1016 | 402 | 788 | 390 | 44.7% | 8.8% | 89.8% | 98.6 | Unlucky | |
Total | 45 | 15 | 23 | 0 | 1 | 3 | 1 | 2 | 130 | 159 | -29 | 39 | 0.433 | 130 | 201 | 331 | 1 | 0 | 19 | 55 | 54 | 5 | 1481 | 401 | 540 | 521 | 29 | 1564 | 482 | 191 | 1094 | 87 | 21 | 24.14% | 95 | 24 | 74.74% | 2 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 923 | 530 | 1016 | 402 | 788 | 390 | 44.7% | 8.8% | 89.8% | 98.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1069 |
Neutral Zone Start | 675 |
Defensive Zone Start | 1023 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1404 |
Faceoffs Lost | 1363 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.9 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 106 |
---|---|
PP Goal | 21 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 11 | 6 |
Lost | 10 | 13 |
Overtime Lost | 3 | 2 |
PP Attempt | 87 |
---|---|
PP Goal | 21 |
PK Attempt | 95 |
PK Goal Against | 24 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 34.8 |
Goals For | 2.9 |
Goals Against | 3.5 |
Hits | 24.3 |
Shots Blocked | 10.7 |
Pim | 4.2 |
Projected Total Cap Hit | 63,281,998$ |
Projected Cap Space | 21,718,002$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 36,031,913$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Lightning Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Barrett Hayton ![]() | C | 22 | 1,775,000$ | 1,775,000$ | 1,775,000$ | RFA | |||||
Carey Price ![]() | G | 35 | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | |||
Charlie Coyle ![]() | C/RW | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Erik Johnson | D | 34 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Fabian Zetterlund ![]() | LW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Jacob Larsson ![]() | D | 25 | 750,000$ | 1,250,000$ | RFA | ||||||
James Neal | LW | 35 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Jamie Drysdale ![]() | D | 20 | 925,000$ | 925,000$ | RFA | ||||||
Jean-Gabriel Pageau | C | 30 | 7,142,000$ | 7,142,000$ | 7,142,000$ | 7,142,000$ | UFA | ||||
John Leonard ![]() | LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Jonathan Dahlen ![]() | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Logan Brown ![]() | C | 24 | 1,000,000$ | 750,000$ | RFA | ||||||
Martin Fehervary ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Michael Amadio ![]() | C | 26 | 975,000$ | 975,000$ | 975,000$ | ||||||
Nolan Foote ![]() | LW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Philip Tomasino ![]() | C/RW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Pierre-Olivier Joseph ![]() | D | 23 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Rasmus Kupari ![]() | C | 22 | 863,333$ | 863,333$ | RFA | ||||||
Sean Monahan | C | 28 | 6,375,000$ | 6,375,000$ | |||||||
Spencer Knight ![]() | G | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Vince Dunn ![]() | D | 26 | 4,000,000$ | 4,000,000$ | RFA | ||||||
Zach Senyshyn ![]() | RW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Zack Kassian ![]() | RW | 32 | 5,000,000$ | 5,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Gaudette ![]() | C | 26 | 750,000$ | 750,000$ | RFA | ||||||
Brendan Lemieux ![]() | LW | 26 | 1,000,000$ | 1,500,000$ | |||||||
Brett Howden ![]() | C | 24 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Cayden Primeau ![]() | G | 23 | 890,000$ | 890,000$ | 890,000$ | RFA | |||||
Henrik Borgstrom ![]() | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Ian Mitchell ![]() | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Ivan Chekhovich ![]() | LW/RW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Joe Hicketts ![]() | D | 26 | 750,000$ | 750,000$ | |||||||
Joel Kiviranta ![]() | LW | 26 | 1,050,000$ | 1,050,000$ | |||||||
Joey Anderson ![]() | RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Jordan Oesterle ![]() | D | 30 | 0$ | 750,000$ | UFA | ||||||
Klim Kostin ![]() | C | 23 | 895,000$ | 1,250,000$ | RFA | ||||||
Lias Andersson ![]() | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Olli Juolevi ![]() | D | 24 | 750,000$ | 750,000$ | RFA | ||||||
Raphael Lavoie ![]() | RW | 22 | 870,000$ | 870,000$ | RFA | ||||||
Tyler Benson ![]() | LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Yakov Trenin ![]() | C | 26 | 1,700,000$ | 1,700,000$ | 1,700,000$ |
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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 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.333 | 9 | 13 | 22 | 0 | 0 | 4 | 3 | 2 | 0 | 107 | 41 | 37 | 29 | 0 | 119 | 38 | 14 | 70 | 7 | 1 | 14.29% | 7 | 3 | 57.14% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 62 | 37 | 67 | 25 | 49 | 25 | 53.3% | 8.4% | 91.6% | 100.0 | DULL | |
2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 1 | 57 | 13 | 19 | 24 | 4 | 80 | 26 | 4 | 54 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 37 | 19 | 51 | 17 | 36 | 18 | 50.0% | 7.0% | 96.3% | 103.3 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 40 | 8 | 22 | 10 | 0 | 31 | 7 | 2 | 15 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 23 | 14 | 19 | 8 | 16 | 9 | 83.3% | 12.5% | 96.8% | 109.3 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 2 | 0 | 36 | 10 | 12 | 14 | 0 | 41 | 14 | 2 | 25 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 18 | 11 | 26 | 8 | 14 | 7 | 66.7% | 8.3% | 97.6% | 105.9 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 37 | 9 | 20 | 8 | 0 | 29 | 10 | 8 | 25 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 23 | 13 | 19 | 9 | 17 | 8 | 28.6% | 5.4% | 79.3% | 84.7 | Unlucky | |
6 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 11 | 15 | -4 | 3 | 0.375 | 11 | 15 | 26 | 0 | 0 | 0 | 9 | 2 | 0 | 138 | 39 | 63 | 34 | 2 | 118 | 33 | 14 | 108 | 10 | 3 | 30.00% | 7 | 3 | 57.14% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 85 | 48 | 86 | 36 | 71 | 35 | 40.0% | 8.0% | 87.3% | 95.3 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 37 | 13 | 12 | 12 | 0 | 37 | 14 | 4 | 24 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 20 | 12 | 22 | 9 | 16 | 7 | 83.3% | 16.2% | 94.6% | 110.8 | LUCKY | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 12 | 6 | 12 | 0 | 35 | 11 | 8 | 27 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 18 | 9 | 23 | 9 | 17 | 9 | 25.0% | 3.3% | 88.6% | 91.9 | Unlucky | |
9 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 4 | 0.667 | 15 | 24 | 39 | 0 | 0 | 5 | 5 | 5 | 0 | 120 | 25 | 42 | 53 | 0 | 111 | 28 | 19 | 78 | 11 | 5 | 45.45% | 7 | 3 | 57.14% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 66 | 40 | 61 | 25 | 51 | 24 | 55.6% | 12.5% | 90.1% | 102.6 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 26 | 6 | 10 | 10 | 0 | 33 | 6 | 4 | 14 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 17 | 8 | 24 | 9 | 18 | 9 | 20.0% | 7.7% | 87.9% | 95.6 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 25 | 3 | 12 | 10 | 0 | 40 | 10 | 2 | 29 | 1 | 1 | 100.00% | 1 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 16 | 7 | 25 | 9 | 18 | 8 | 20.0% | 8.0% | 90.0% | 98.0 | Unlucky | |
12 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 0 | 2 | 3 | 2 | 68 | 13 | 20 | 29 | 8 | 72 | 12 | 8 | 51 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 1 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 42 | 23 | 43 | 18 | 38 | 18 | 35.7% | 8.8% | 87.5% | 96.3 | Unlucky | |
13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 0 | 3 | 2 | 0 | 61 | 22 | 19 | 20 | 0 | 67 | 17 | 4 | 40 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 39 | 20 | 45 | 16 | 35 | 18 | 50.0% | 8.2% | 92.5% | 100.7 | DULL | |
14 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 44 | 2 | 22 | 20 | 0 | 40 | 16 | 4 | 16 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 20 | 13 | 27 | 9 | 16 | 7 | 40.0% | 6.8% | 90.0% | 96.8 | Unlucky | |
15 | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 9 | 17 | -8 | 3 | 0.375 | 9 | 12 | 21 | 0 | 0 | 2 | 2 | 4 | 1 | 111 | 39 | 27 | 36 | 9 | 130 | 46 | 24 | 91 | 7 | 1 | 14.29% | 12 | 2 | 83.33% | 1 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 78 | 42 | 91 | 37 | 75 | 38 | 34.8% | 8.1% | 86.9% | 95.0 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 41 | 9 | 13 | 19 | 0 | 34 | 14 | 4 | 29 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 22 | 13 | 20 | 8 | 17 | 8 | 75.0% | 7.3% | 97.1% | 104.4 | DULL | |
17 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 5 | 10 | 0 | 0 | 1 | 1 | 3 | 0 | 65 | 18 | 20 | 27 | 0 | 72 | 21 | 10 | 53 | 6 | 1 | 16.67% | 6 | 3 | 50.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 42 | 24 | 44 | 16 | 33 | 17 | 36.4% | 7.7% | 86.1% | 93.8 | Unlucky | |
18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 38 | 6 | 18 | 14 | 0 | 34 | 9 | 4 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 21 | 12 | 20 | 9 | 17 | 9 | 66.7% | 5.3% | 97.1% | 102.3 | DULL | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 31 | 7 | 16 | 8 | 0 | 38 | 12 | 6 | 23 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 18 | 10 | 24 | 9 | 16 | 7 | 57.1% | 12.9% | 92.1% | 105.0 | LUCKY | |
20 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 6 | 10 | 1 | 0 | 1 | 1 | 2 | 0 | 102 | 27 | 29 | 46 | 0 | 95 | 40 | 14 | 82 | 7 | 1 | 14.29% | 7 | 3 | 57.14% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 67 | 41 | 61 | 26 | 51 | 24 | 30.0% | 3.9% | 89.5% | 93.4 | Unlucky | |
21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 21 | 2 | 6 | 13 | 0 | 30 | 10 | 0 | 27 | 1 | 1 | 100.00% | 0 | 0 | 0.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 16 | 7 | 24 | 8 | 19 | 9 | 33.3% | 14.3% | 86.7% | 101.0 | FUN | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 61 | 27 | 22 | 12 | 0 | 81 | 25 | 10 | 46 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 41 | 24 | 45 | 17 | 33 | 15 | 33.3% | 6.6% | 90.1% | 96.7 | Unlucky | |
23 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 10 | 17 | 0 | 0 | 2 | 2 | 3 | 0 | 48 | 17 | 21 | 10 | 0 | 62 | 14 | 6 | 49 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 34 | 16 | 44 | 20 | 40 | 18 | 63.6% | 14.6% | 93.5% | 108.1 | LUCKY | |
24 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 1 | 37 | 8 | 16 | 12 | 6 | 31 | 13 | 4 | 31 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 22 | 13 | 24 | 9 | 18 | 8 | 42.9% | 8.1% | 87.1% | 95.2 | Unlucky | |
25 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 18 | -6 | 2 | 0.333 | 12 | 21 | 33 | 0 | 0 | 0 | 4 | 8 | 0 | 100 | 25 | 36 | 39 | 0 | 104 | 36 | 12 | 64 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 63 | 39 | 70 | 23 | 46 | 23 | 41.4% | 12.0% | 82.7% | 94.7 | FUN | |
_Vs Division | 17 | 5 | 12 | 0 | 0 | 0 | 0 | 0 | 54 | 68 | -14 | 10 | 0.294 | 54 | 84 | 138 | 1 | 0 | 12 | 19 | 23 | 0 | 595 | 171 | 208 | 216 | 0 | 613 | 195 | 81 | 408 | 38 | 9 | 23.68% | 39 | 15 | 61.54% | 0 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 366 | 222 | 370 | 144 | 282 | 140 | 45.9% | 9.1% | 88.9% | 98.0 | FUN | |
_Vs Conference | 30 | 8 | 18 | 0 | 1 | 2 | 0 | 1 | 87 | 116 | -29 | 21 | 0.350 | 87 | 133 | 220 | 1 | 0 | 15 | 38 | 33 | 2 | 1003 | 298 | 355 | 338 | 17 | 1032 | 327 | 141 | 728 | 61 | 13 | 21.31% | 69 | 21 | 69.57% | 1 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 630 | 367 | 666 | 263 | 517 | 258 | 43.8% | 8.7% | 88.8% | 97.4 | Unlucky | |
_Since Last GM Reset | 45 | 15 | 23 | 0 | 1 | 3 | 1 | 2 | 130 | 159 | -29 | 39 | 0.433 | 130 | 201 | 331 | 1 | 0 | 19 | 55 | 54 | 5 | 1481 | 401 | 540 | 521 | 29 | 1564 | 482 | 191 | 1094 | 87 | 21 | 24.14% | 95 | 24 | 74.74% | 2 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 923 | 530 | 1016 | 402 | 788 | 390 | 44.7% | 8.8% | 89.8% | 98.6 | Unlucky | |
Total | 45 | 15 | 23 | 0 | 1 | 3 | 1 | 2 | 130 | 159 | -29 | 39 | 0.433 | 130 | 201 | 331 | 1 | 0 | 19 | 55 | 54 | 5 | 1481 | 401 | 540 | 521 | 29 | 1564 | 482 | 191 | 1094 | 87 | 21 | 24.14% | 95 | 24 | 74.74% | 2 | 544 | 1069 | 50.89% | 502 | 1023 | 49.07% | 358 | 675 | 53.04% | 923 | 530 | 1016 | 402 | 788 | 390 | 44.7% | 8.8% | 89.8% | 98.6 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 1069 |
Neutral Zone Start | 675 |
Defensive Zone Start | 1023 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1404 |
Faceoffs Lost | 1363 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.9 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 32.5 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 106 |
---|---|
PP Goal | 21 |
PK Goal | 2 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 11 | 6 |
Lost | 10 | 13 |
Overtime Lost | 3 | 2 |
PP Attempt | 87 |
---|---|
PP Goal | 21 |
PK Attempt | 95 |
PK Goal Against | 24 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 34.8 |
Goals For | 2.9 |
Goals Against | 3.5 |
Hits | 24.3 |
Shots Blocked | 10.7 |
Pim | 4.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-09-29 | VS | CAR3,TBL2 (OT) | RECAP | |||||||||||
2022-10-02 | VS | BOS1,TBL5 | RECAP | |||||||||||
2022-10-04 | VS | TBL1,FLA4 | RECAP | |||||||||||
2022-10-06 | VS | TBL4,DET8 | RECAP | |||||||||||
2022-10-09 | VS | CHI4,TBL3 (OT) | RECAP | |||||||||||
2022-10-13 | VS | TOR1,TBL5 | RECAP | |||||||||||
2022-10-14 | VS | TBL1,PIT2 | RECAP | |||||||||||
2022-10-17 | VS | TBL3,OTT5 | RECAP | |||||||||||
2022-10-19 | VS | MTL6,TBL2 | RECAP | |||||||||||
2022-10-24 | VS | Buf4,TBL8 | RECAP | |||||||||||
2022-10-29 | VS | TBL6,Buf3 | RECAP | |||||||||||
2022-10-31 | VS | DET4,TBL6 | RECAP | |||||||||||
2022-11-02 | VS | TBL2,PIT3 (OT) | RECAP | |||||||||||
2022-11-05 | VS | TBL1,OTT3 | RECAP | |||||||||||
2022-11-07 | VS | BOS6,TBL2 | RECAP | |||||||||||
2022-11-10 | VS | TBL1,Buf4 | RECAP | |||||||||||
2022-11-12 | VS | TBL6,SEA2 | RECAP | |||||||||||
2022-11-13 | VS | LAK1,TBL3 | RECAP | |||||||||||
2022-11-16 | VS | TBL2,BOS3 | RECAP | |||||||||||
2022-11-18 | VS | DET6,TBL2 | RECAP | |||||||||||
2022-11-24 | VS | PIT5,TBL1 | RECAP | |||||||||||
2022-11-26 | VS | TBL7,PIT5 | RECAP | |||||||||||
2022-11-29 | VS | CAR6,TBL2 | RECAP | |||||||||||
2022-12-05 | VS | TBL3,MIN2 | RECAP | |||||||||||
2022-12-07 | VS | CGY3,TBL4 (SO) | RECAP | |||||||||||
2022-12-11 | VS | WSH4,TBL1 | RECAP | |||||||||||
2022-12-16 | VS | NJD2,TBL4 | RECAP | |||||||||||
2022-12-18 | VS | TBL2,CAR1 (OT) | RECAP | |||||||||||
2022-12-22 | VS | MIN2,TBL4 | RECAP | |||||||||||
2022-12-27 | VS | DAL4,TBL2 | RECAP | |||||||||||
2022-12-30 | VS | TBL1,NJD3 | RECAP | |||||||||||
2023-01-02 | VS | TBL2,CGY6 | RECAP | |||||||||||
2023-01-03 | VS | WPG4,TBL2 | RECAP | |||||||||||
2023-01-06 | VS | TBL2,NSH6 | RECAP | |||||||||||
2023-01-08 | VS | TBL1,FLA3 | RECAP | |||||||||||
2023-01-09 | VS | CAR7,TBL3 | RECAP | |||||||||||
2023-01-13 | VS | TBL3,MTL4 | RECAP | |||||||||||
2023-01-14 | VS | ARI4,TBL3 | RECAP | |||||||||||
2023-01-18 | VS | EDM1,TBL2 | RECAP | |||||||||||
2023-01-24 | VS | TBL2,FLA3 | RECAP | |||||||||||
2023-01-26 | VS | COL1,TBL3 | RECAP | |||||||||||
2023-01-29 | VS | TBL1,COL2 (SO) | RECAP | |||||||||||
2023-01-31 | VS | NYR4,TBL3 (SO) | RECAP | |||||||||||
2023-02-04 | VS | VAN1,TBL3 | RECAP | |||||||||||
2023-02-07 | VS | TBL4,CBJ3 | RECAP | |||||||||||
2023-02-09 | VS | |||||||||||||
2023-02-14 | VS | |||||||||||||
2023-02-18 | VS | |||||||||||||
2023-02-20 | VS | |||||||||||||
2023-02-21 | VS | |||||||||||||
2023-02-24 | VS | |||||||||||||
2023-02-27 | VS | |||||||||||||
2023-03-03 | VS | |||||||||||||
2023-03-05 | VS | |||||||||||||
2023-03-10 | VS | |||||||||||||
2023-03-12 | VS | |||||||||||||
2023-03-16 | VS | |||||||||||||
2023-03-19 | VS | |||||||||||||
2023-03-20 | VS | |||||||||||||
2023-03-23 | VS | |||||||||||||
2023-03-26 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-31 | VS | |||||||||||||
2023-04-03 | VS | |||||||||||||
2023-04-06 | VS | |||||||||||||
2023-04-07 | VS | |||||||||||||
2023-04-11 | VS | |||||||||||||
2023-04-12 | VS | |||||||||||||
2023-04-18 | VS | |||||||||||||
2023-04-20 | VS | |||||||||||||
2023-04-23 | VS | |||||||||||||
2023-04-24 | VS | |||||||||||||
2023-04-27 | VS | |||||||||||||
2023-04-29 | VS | |||||||||||||
2023-04-30 | VS | |||||||||||||
2023-05-03 | VS | |||||||||||||
2023-05-06 | VS | |||||||||||||
2023-05-07 | VS | |||||||||||||
2023-05-08 | VS | |||||||||||||
2023-05-11 | VS | |||||||||||||
2023-05-15 | VS | |||||||||||||
2023-05-16 | VS | |||||||||||||
2023-05-17 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
64,031,999$ | 0$ | 63,281,998$ | 21,718,002$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Amalie Arena | |
City | Tampa Bay | ||
Capacity | 19500 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6250 | 5250 | 3000 | 4000 | 1000 |
Ticket Price | 110$ | 100$ | 65$ | 52$ | 180$ |
Attendance | 144743 | 102675 | 63594 | 77953 | 24000 |
Attendance PCT | 96.50% | 81.49% | 88.33% | 81.20% | 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 | 17207 - 88.24% | 2,015,437$ | 48,370,494$ | 19500 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
64,031,999$ | 63,781,999$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
37,037,207$ | 63,281,998$ | 36,031,913$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
34,262,433$ | 100 | 276,732$ | 27,673,200$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
29,066,320$ | 63,281,998$ | 109,806,302$ | 118,416,655$ |
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 |
---|---|---|---|---|---|
Alexander Kisakov | |||||
Brendan Brisson | |||||
Dylan Samberg | |||||
Jordan Harris | 2018 | 77 | |||
Josh Doan | 2021 | 42 | |||
Juarj Slavkovky | |||||
Kaiden Guhle | |||||
Lane Hutson | |||||
Logan Cooley | |||||
Matthew Coronato | 2021 | 10 | |||
Maveric Lamoureux | |||||
Nolan Allan | 2021 | 40 | |||
Olen Zellweger | 2021 | 50 | |||
Philip Broberg | 0 | Link | |||
Prokhor Poltapov | 2021 | 49 | |||
Sam Colangelo | |||||
Sean Farell | |||||
Theodor Niederbach | |||||
Tyler Kleven | |||||
Zachary Bolduc | 2021 | 17 | |||
Zachary L'Heureux | 2021 | 22 |
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 |
---|---|---|---|---|---|
Alexander Kisakov | |||||
Brendan Brisson | |||||
Dylan Samberg | |||||
Jordan Harris | 2018 | 77 | |||
Josh Doan | 2021 | 42 | |||
Juarj Slavkovky | |||||
Kaiden Guhle | |||||
Lane Hutson | |||||
Logan Cooley | |||||
Matthew Coronato | 2021 | 10 | |||
Maveric Lamoureux | |||||
Nolan Allan | 2021 | 40 | |||
Olen Zellweger | 2021 | 50 | |||
Philip Broberg | 0 | Link | |||
Prokhor Poltapov | 2021 | 49 | |||
Sam Colangelo | |||||
Sean Farell | |||||
Theodor Niederbach | |||||
Tyler Kleven | |||||
Zachary Bolduc | 2021 | 17 | |||
Zachary L'Heureux | 2021 | 22 |
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