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Minnesota Wild 8-5-2, 18pts · 6th 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/LW | 100.00 | 67 | 45 | 83 | 79 | 78 | 85 | 73 | 79 | 50 | 77 | 68 | 68 | 75 | 58 | 50 | 1 | 83 | 0 | 21 | 750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 65 | 72 | 70 | 91 | 84 | 86 | 81 | 55 | 75 | 71 | 67 | 74 | 80 | 70 | 1 | 84 | 0 | 29 | 5,700,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 66 | 55 | 75 | 86 | 76 | 91 | 87 | 86 | 73 | 81 | 76 | 80 | 83 | 78 | 68 | 1 | 83 | 0 | 28 | 3,850,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 54 | 50 | 67 | 68 | 63 | 63 | 64 | 67 | 62 | 64 | 65 | 51 | 67 | 52 | 50 | 1 | 82 | 0 | 25 | 750,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 73 | 45 | 82 | 82 | 73 | 88 | 92 | 85 | 50 | 73 | 79 | 81 | 82 | 93 | 83 | 1 | 83 | 0 | 39 | 2,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 71 | 60 | 62 | 75 | 86 | 83 | 73 | 74 | 50 | 69 | 67 | 66 | 72 | 65 | 55 | 1 | 82 | 0 | 23 | 874,125$/1yrs | |||
![]() | 0 | LW/RW | 98.00 | 80 | 45 | 84 | 75 | 85 | 86 | 93 | 86 | 55 | 76 | 80 | 70 | 80 | 88 | 78 | 1 | 84 | 0 | 31 | 4,500,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 50 | 72 | 73 | 86 | 86 | 90 | 78 | 92 | 75 | 72 | 68 | 74 | 87 | 83 | 1 | 83 | 0 | 31 | 8,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 64 | 55 | 65 | 71 | 80 | 84 | 75 | 67 | 50 | 64 | 61 | 64 | 66 | 85 | 75 | 1 | 85 | 0 | 31 | 1,420,000$/1yrs | |||
![]() | 0 | LW/RW | 98.00 | 80 | 55 | 72 | 83 | 87 | 89 | 87 | 93 | 50 | 78 | 92 | 68 | 89 | 78 | 68 | 1 | 83 | 0 | 27 | 6,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 68 | 51 | 67 | 79 | 81 | 87 | 87 | 90 | 55 | 86 | 80 | 67 | 83 | 83 | 73 | 1 | 83 | 0 | 27 | 7,875,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 45 | 84 | 86 | 71 | 86 | 88 | 84 | 55 | 77 | 75 | 77 | 82 | 80 | 70 | 1 | 83 | 0 | 31 | 3,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 68 | 45 | 90 | 79 | 82 | 85 | 80 | 82 | 50 | 76 | 73 | 76 | 78 | 60 | 53 | 1 | 82 | 0 | 25 | 3,100,000$/2yrs | |||
![]() | 0 | C | 100.00 | 74 | 60 | 75 | 79 | 77 | 83 | 87 | 77 | 63 | 76 | 67 | 74 | 74 | 78 | 68 | 1 | 82 | 0 | 25 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 60 | 66 | 86 | 81 | 91 | 75 | 77 | 40 | 74 | 75 | 75 | 79 | 60 | 53 | 1 | 84 | 0 | 22 | 3,850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 63 | 65 | 71 | 90 | 90 | 94 | 77 | 40 | 75 | 62 | 84 | 70 | 89 | 79 | 1 | 82 | 0 | 33 | 3,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 40 | 87 | 77 | 78 | 86 | 78 | 76 | 40 | 76 | 67 | 68 | 73 | 65 | 55 | 1 | 83 | 0 | 23 | 2,600,000$/2yrs | |||
![]() | 0 | D | 98.00 | 75 | 45 | 90 | 75 | 83 | 90 | 90 | 77 | 40 | 78 | 62 | 92 | 71 | 85 | 75 | 1 | 82 | 0 | 32 | 5,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 50 | 73 | 88 | 80 | 88 | 83 | 77 | 40 | 75 | 67 | 92 | 77 | 65 | 55 | 1 | 82 | 0 | 24 | 4,125,000$/8yrs | |||
![]() | 0 | D | 98.00 | 77 | 60 | 73 | 79 | 90 | 87 | 87 | 77 | 40 | 73 | 65 | 96 | 74 | 78 | 68 | 1 | 83 | 0 | 27 | 4,100,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 68 | 40 | 84 | 74 | 83 | 82 | 75 | 71 | 40 | 63 | 66 | 68 | 70 | 70 | 60 | 1 | 62 | 0 | 25 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 55 | 70 | 71 | 84 | 82 | 87 | 69 | 40 | 63 | 63 | 76 | 68 | 87 | 77 | 1 | 65 | 0 | 34 | 1,370,000$/1yrs | |||
TEAM AVERAGE | 99.59 | 71 | 52 | 75 | 78 | 81 | 85 | 83 | 79 | 51 | 74 | 71 | 74 | 76 | 76 | 67 | 1 | 81 | 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 | 99.00 | 82 | 95 | 97 | 88 | 93 | 87 | 84 | 85 | 84 | 91 | 86 | 88 | 81 | 1 | 82 | 0 | 33 | 6,000,000$/3yrs |
![]() | 0 | 100.00 | 81 | 82 | 83 | 92 | 89 | 83 | 79 | 80 | 80 | 84 | 82 | 60 | 53 | 1 | 82 | 0 | 24 | 850,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 83 | 81 | 80 | 86 | 81 | 80 | 77 | 80 | 80 | 81 | 78 | 78 | 71 | 1 | 68 | 0 | 31 | 750,000$/1yrs |
TEAM AVERAGE | 99.67 | 82 | 86 | 87 | 89 | 88 | 83 | 80 | 82 | 81 | 85 | 82 | 75 | 68 | 1 | 77 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 88 | 86 | 85 | 81 | 95 | 90 | 1 | CAN | 64 | 3 | 500,000$ |
General Manager | William Forest |
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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 | Timo Meier | 0 | LW/RW | 15 | 10 | 11 | 21 | 5 | 12 | 0 | 31 | 68 | 25 | 40 | 14.71% | 10 | 23.04 | 1 | 1 | 2 | 44 | 0 | 0 | 0 | 31 | 0 | 1 | 41.25% | 80 | 23 | 6 | 0 | 1 | 1.22 | 1 | 3 | ||
2 | J.T. Compher | 0 | C/RW | 14 | 5 | 9 | 14 | 8 | 8 | 0 | 25 | 60 | 19 | 28 | 8.33% | 4 | 19.63 | 0 | 2 | 2 | 29 | 0 | 0 | 0 | 9 | 1 | 0 | 49.27% | 274 | 11 | 4 | 1 | 0 | 1.02 | 0 | 0 | ||
3 | Kevin Fiala | 0 | LW/RW | 15 | 4 | 10 | 14 | -1 | 8 | 0 | 29 | 52 | 12 | 35 | 7.69% | 5 | 19.66 | 1 | 1 | 2 | 36 | 0 | 0 | 0 | 20 | 2 | 0 | 53.33% | 15 | 13 | 4 | 0 | 0 | 0.95 | 1 | 1 | ||
4 | Nino Niederreiter | 0 | LW/RW | 15 | 5 | 7 | 12 | 4 | 2 | 0 | 26 | 35 | 12 | 17 | 14.29% | 5 | 21.53 | 0 | 1 | 1 | 41 | 0 | 0 | 0 | 29 | 0 | 0 | 34.29% | 35 | 11 | 1 | 0 | 0 | 0.74 | 2 | 3 | ||
5 | Zach Parise | 0 | LW | 15 | 5 | 6 | 11 | 2 | 0 | 0 | 23 | 39 | 9 | 21 | 12.82% | 3 | 15.69 | 0 | 1 | 1 | 19 | 0 | 0 | 0 | 11 | 1 | 0 | 25.00% | 8 | 10 | 3 | 0 | 0 | 0.93 | 3 | 3 | ||
6 | Brian Dumoulin | 0 | D | 15 | 3 | 7 | 10 | 6 | 0 | 0 | 19 | 21 | 4 | 4 | 14.29% | 26 | 27.26 | 2 | 2 | 4 | 46 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 6 | 17 | 0 | 0 | 0.49 | 0 | 0 | ||
7 | Ryan Johansen | 0 | C/RW | 15 | 2 | 4 | 6 | 1 | 4 | 0 | 22 | 18 | 4 | 11 | 11.11% | 3 | 15.57 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 0 | 1 | 0 | 56.52% | 230 | 3 | 1 | 0 | 0 | 0.51 | 0 | 0 | ||
8 | Conor Sheary | 0 | LW/RW | 15 | 3 | 2 | 5 | -4 | 2 | 0 | 21 | 46 | 12 | 18 | 6.52% | 3 | 14.39 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 7 | 0 | 0 | 50.00% | 16 | 8 | 5 | 0 | 0 | 0.46 | 0 | 1 | ||
9 | Yegor Sharangovich | 0 | C/LW/RW | 15 | 2 | 3 | 5 | -4 | 2 | 0 | 19 | 26 | 14 | 17 | 7.69% | 3 | 13.27 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 38.69% | 137 | 12 | 5 | 0 | 0 | 0.50 | 0 | 0 | ||
10 | Mikey Anderson | 0 | D | 15 | 0 | 4 | 4 | -3 | 14 | 10 | 28 | 11 | 9 | 5 | 0.00% | 12 | 19.23 | 0 | 1 | 1 | 33 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 8 | 7 | 0 | 0 | 0.28 | 0 | 0 | ||
11 | Brandon Carlo | 0 | D | 15 | 1 | 3 | 4 | 4 | 10 | 0 | 39 | 26 | 12 | 10 | 3.85% | 20 | 28.44 | 0 | 0 | 0 | 46 | 0 | 0 | 0 | 33 | 1 | 0 | 0.00% | 0 | 9 | 24 | 0 | 0 | 0.19 | 0 | 0 | ||
12 | Tyson Jost | 0 | C | 15 | 2 | 2 | 4 | -1 | 5 | 5 | 15 | 17 | 5 | 7 | 11.76% | 4 | 8.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 40.54% | 74 | 2 | 1 | 0 | 0 | 0.61 | 0 | 0 | ||
13 | Cole Perfetti | 0 | C/LW | 13 | 0 | 3 | 3 | -4 | 2 | 0 | 11 | 17 | 7 | 10 | 0.00% | 0 | 8.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 25.00% | 12 | 3 | 3 | 0 | 0 | 0.56 | 0 | 0 | ||
14 | Anthony Mantha | 0 | LW/RW | 15 | 1 | 2 | 3 | -1 | 9 | 5 | 27 | 23 | 9 | 9 | 4.35% | 5 | 12.44 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 8 | 0 | 0 | 55.56% | 9 | 4 | 4 | 0 | 0 | 0.32 | 0 | 0 | ||
15 | Bowen Byram | 0 | D | 15 | 1 | 1 | 2 | -3 | 6 | 0 | 17 | 13 | 7 | 6 | 7.69% | 14 | 13.06 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 0.00% | 0 | 7 | 6 | 0 | 0 | 0.20 | 0 | 0 | ||
16 | Tyler Myers | 0 | D | 15 | 1 | 1 | 2 | -4 | 10 | 0 | 13 | 11 | 1 | 8 | 9.09% | 10 | 19.15 | 1 | 0 | 1 | 34 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 2 | 7 | 0 | 0 | 0.14 | 0 | 0 | ||
17 | Adam Boqvist | 0 | D | 15 | 0 | 2 | 2 | -4 | 0 | 0 | 6 | 4 | 0 | 3 | 0.00% | 11 | 13.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 1 | 3 | 0 | 0 | 0.20 | 0 | 0 | ||
18 | Oliver Wahlstrom | 0 | RW | 13 | 1 | 1 | 2 | -4 | 2 | 0 | 6 | 12 | 5 | 6 | 8.33% | 1 | 7.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 1 | 0 | 0 | 0.43 | 0 | 0 | ||
19 | Lias Andersson | 0 | C/LW | 13 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 2 | 2.41 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 10 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Joey Anderson | 0 | RW | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 6 | 0 | 7 | 0.00% | 1 | 6.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 14.29% | 7 | 3 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Tanner Pearson | 0 | LW | 14 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 4 | 2 | 2 | 0.00% | 0 | 2.83 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 1 | 1 | 0 | 0 | 0.00 | 0 | 0 | ||
22 | Robert Bortuzzo | 0 | D | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 4.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 302 | 46 | 78 | 124 | -5 | 96 | 20 | 387 | 510 | 168 | 264 | 9.02% | 142 | 15.13 | 6 | 10 | 16 | 398 | 0 | 0 | 0 | 261 | 7 | 2 | 46.97% | 909 | 139 | 103 | 1 | 1 | 0.54 | 7 | 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 | Jacob Markstrom | 15 | 8 | 4 | 2 | 0.896 | 3.02 | 895 | 0 | 2 | 45 | 431 | 190 | 2 | 0 | 0.455 | 11 | 15 | 0 | 2 | 1 | 1 | |
2 | Ukko-Pekka Luukkonen | 1 | 0 | 1 | 0 | 0.857 | 4.80 | 25 | 0 | 0 | 2 | 14 | 4 | 0 | 0 | 0.000 | 0 | 0 | 15 | 0 | 0 | 0 | |
Team Total or Average | 16 | 8 | 5 | 2 | 0.894 | 3.07 | 920 | 0 | 2 | 47 | 445 | 194 | 2 | 0 | 0.455 | 11 | 15 | 15 | 2 | 1 | 1 |
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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 14 | 4 | 12 | 0 | 38 | 11 | 10 | 20 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 20 | 11 | 23 | 8 | 15 | 7 | 33.3% | 3.3% | 94.7% | 98.1 | DULL | |
2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 1 | 1 | 3 | 1 | 37 | 6 | 12 | 16 | 3 | 30 | 11 | 6 | 29 | 2 | 1 | 50.00% | 3 | 2 | 33.33% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 23 | 14 | 21 | 9 | 18 | 9 | 62.5% | 16.2% | 83.3% | 99.5 | FUN | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 65 | 22 | 14 | 29 | 0 | 65 | 13 | 20 | 50 | 7 | 1 | 14.29% | 5 | 3 | 40.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 46 | 28 | 41 | 16 | 32 | 16 | 50.0% | 6.2% | 90.8% | 96.9 | Unlucky | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 0 | 3 | 2 | 0 | 65 | 13 | 19 | 33 | 0 | 50 | 17 | 12 | 51 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 44 | 25 | 42 | 18 | 33 | 16 | 83.3% | 7.7% | 96.0% | 103.7 | DULL | |
5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 0 | 3 | 3 | 33 | 9 | 16 | 8 | 3 | 26 | 10 | 4 | 33 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 25 | 16 | 20 | 8 | 18 | 8 | 50.0% | 18.2% | 80.8% | 99.0 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 15 | 6 | 7 | 0 | 31 | 12 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 20 | 12 | 23 | 9 | 16 | 7 | 33.3% | 7.1% | 87.1% | 94.2 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 33 | 5 | 17 | 11 | 0 | 21 | 8 | 6 | 37 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 23 | 12 | 19 | 8 | 16 | 8 | 100.0% | 3.0% | 100.0% | 103.0 | DULL | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 27 | 7 | 11 | 7 | 2 | 30 | 6 | 6 | 29 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 21 | 12 | 24 | 9 | 17 | 8 | 50.0% | 11.1% | 93.3% | 104.4 | LUCKY | |
9 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 9 | 0 | 3 | 0.750 | 9 | 15 | 24 | 0 | 0 | 0 | 5 | 3 | 4 | 79 | 15 | 30 | 31 | 11 | 59 | 20 | 10 | 32 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 46 | 29 | 48 | 19 | 35 | 16 | 46.7% | 11.4% | 84.7% | 96.1 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 12 | 12 | 4 | 0 | 31 | 10 | 16 | 19 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 21 | 12 | 22 | 8 | 16 | 8 | 50.0% | 7.1% | 90.3% | 97.5 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 38 | 8 | 16 | 14 | 0 | 32 | 14 | 4 | 26 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 22 | 13 | 20 | 8 | 17 | 8 | 40.0% | 10.5% | 81.3% | 91.8 | FUN | |
12 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 34 | 5 | 13 | 16 | 0 | 32 | 6 | 2 | 36 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 22 | 12 | 20 | 8 | 17 | 9 | 42.9% | 8.8% | 87.5% | 96.3 | Unlucky | |
_Vs Division | 6 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | 15 | 17 | -2 | 7 | 0.583 | 15 | 25 | 40 | 0 | 1 | 2 | 6 | 6 | 4 | 207 | 56 | 65 | 83 | 11 | 183 | 52 | 46 | 139 | 22 | 3 | 13.64% | 18 | 4 | 77.78% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 136 | 82 | 132 | 52 | 100 | 50 | 48.0% | 7.2% | 90.7% | 98.0 | Unlucky | |
_Vs Conference | 8 | 2 | 3 | 0 | 0 | 1 | 1 | 1 | 20 | 25 | -5 | 8 | 0.500 | 20 | 32 | 52 | 0 | 1 | 4 | 8 | 7 | 4 | 269 | 76 | 84 | 106 | 11 | 246 | 70 | 52 | 197 | 26 | 3 | 11.54% | 21 | 4 | 80.95% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 179 | 107 | 177 | 70 | 134 | 67 | 44.7% | 7.4% | 89.8% | 97.3 | Unlucky | |
_Since Last GM Reset | 15 | 4 | 5 | 0 | 2 | 1 | 2 | 1 | 46 | 48 | -2 | 18 | 0.600 | 46 | 77 | 123 | 0 | 2 | 7 | 16 | 19 | 9 | 497 | 131 | 170 | 188 | 19 | 445 | 138 | 100 | 384 | 46 | 6 | 13.04% | 40 | 8 | 80.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 337 | 203 | 328 | 133 | 255 | 127 | 50.0% | 9.3% | 89.2% | 98.5 | FUN | |
Total | 15 | 4 | 5 | 0 | 2 | 1 | 2 | 1 | 46 | 48 | -2 | 18 | 0.600 | 46 | 77 | 123 | 0 | 2 | 7 | 16 | 19 | 9 | 497 | 131 | 170 | 188 | 19 | 445 | 138 | 100 | 384 | 46 | 6 | 13.04% | 40 | 8 | 80.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 337 | 203 | 328 | 133 | 255 | 127 | 50.0% | 9.3% | 89.2% | 98.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 361 |
Neutral Zone Start | 239 |
Defensive Zone Start | 327 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 438 |
Faceoffs Lost | 489 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.7 | 9.57 |
2nd Period | 20.1 | 20.31 |
3rd Period | 32.6 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 3 |
Lost | 3 | 2 |
Overtime Lost | 0 | 2 |
PP Attempt | 46 |
---|---|
PP Goal | 6 |
PK Attempt | 40 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 33.1 |
Shots Against | 29.7 |
Goals For | 3.1 |
Goals Against | 3.2 |
Hits | 25.6 |
Shots Blocked | 9.2 |
Pim | 6.7 |
Projected Total Cap Hit | 82,539,125$ |
Projected Cap Space | 2,460,875$ |
Retains And Buyout Cap Hit | 625,000$ |
Salary Cap To Date | 15,426,174$ |
Players In Salary Cap | 25 |
LTIR Players | 0 |
Wild Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist ![]() | D | 23 | 2,600,000$ | 2,600,000$ | 2,600,000$ | RFA | |||||
Anthony Mantha | LW/RW | 29 | 5,700,000$ | 5,700,000$ | |||||||
Bowen Byram ![]() | D | 22 | 3,850,000$ | 3,850,000$ | 3,850,000$ | RFA | |||||
Brandon Carlo | D | 27 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | ||||
Brian Dumoulin | D | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Cole Perfetti ![]() | C/LW | 21 | 750,000$ | 750,000$ | RFA | ||||||
Conor Sheary ![]() | LW/RW | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | ||||
David Rittich | G | 31 | 750,000$ | 750,000$ | UFA | ||||||
J.T. Compher | C/RW | 28 | 3,850,000$ | 3,850,000$ | 3,850,000$ | ||||||
Jacob Markstrom | G | 33 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Joey Anderson ![]() | RW | 25 | 800,000$ | 800,000$ | RFA | ||||||
Kevin Fiala | LW/RW | 27 | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | 7,875,000$ | UFA | |
Lias Andersson ![]() | C/LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Mikey Anderson ![]() | D | 24 | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ | 4,125,000$ |
Nino Niederreiter | LW/RW | 31 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Oliver Wahlstrom ![]() | RW | 23 | 874,125$ | 874,125$ | RFA | ||||||
Robert Bortuzzo | D | 34 | 1,370,000$ | 1,370,000$ | UFA | ||||||
Ryan Johansen | C/RW | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | |||||
Tanner Pearson | LW | 31 | 1,420,000$ | 1,420,000$ | UFA | ||||||
Timo Meier | LW/RW | 27 | 6,000,000$ | 6,000,000$ | RFA | ||||||
Tyler Myers ![]() ![]() | D | 33 | 3,250,000$ | 3,250,000$ | UFA | ||||||
Tyson Jost ![]() | C | 25 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Ukko-Pekka Luukkonen ![]() | G | 24 | 850,000$ | 875,000$ | RFA | ||||||
Yegor Sharangovich ![]() | C/LW/RW | 25 | 3,100,000$ | 3,100,000$ | 3,100,000$ | RFA | |||||
Zach Parise | LW | 39 | 2,000,000$ | 2,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
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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 |
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1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 14 | 4 | 12 | 0 | 38 | 11 | 10 | 20 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 20 | 11 | 23 | 8 | 15 | 7 | 33.3% | 3.3% | 94.7% | 98.1 | DULL | |
2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 1 | 1 | 3 | 1 | 37 | 6 | 12 | 16 | 3 | 30 | 11 | 6 | 29 | 2 | 1 | 50.00% | 3 | 2 | 33.33% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 23 | 14 | 21 | 9 | 18 | 9 | 62.5% | 16.2% | 83.3% | 99.5 | FUN | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 0 | 2 | 0 | 65 | 22 | 14 | 29 | 0 | 65 | 13 | 20 | 50 | 7 | 1 | 14.29% | 5 | 3 | 40.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 46 | 28 | 41 | 16 | 32 | 16 | 50.0% | 6.2% | 90.8% | 96.9 | Unlucky | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 0 | 3 | 2 | 0 | 65 | 13 | 19 | 33 | 0 | 50 | 17 | 12 | 51 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 44 | 25 | 42 | 18 | 33 | 16 | 83.3% | 7.7% | 96.0% | 103.7 | DULL | |
5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 0 | 3 | 3 | 33 | 9 | 16 | 8 | 3 | 26 | 10 | 4 | 33 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 25 | 16 | 20 | 8 | 18 | 8 | 50.0% | 18.2% | 80.8% | 99.0 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 15 | 6 | 7 | 0 | 31 | 12 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 20 | 12 | 23 | 9 | 16 | 7 | 33.3% | 7.1% | 87.1% | 94.2 | Unlucky | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 33 | 5 | 17 | 11 | 0 | 21 | 8 | 6 | 37 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 23 | 12 | 19 | 8 | 16 | 8 | 100.0% | 3.0% | 100.0% | 103.0 | DULL | |
8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 1 | 1 | 27 | 7 | 11 | 7 | 2 | 30 | 6 | 6 | 29 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 21 | 12 | 24 | 9 | 17 | 8 | 50.0% | 11.1% | 93.3% | 104.4 | LUCKY | |
9 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 9 | 0 | 3 | 0.750 | 9 | 15 | 24 | 0 | 0 | 0 | 5 | 3 | 4 | 79 | 15 | 30 | 31 | 11 | 59 | 20 | 10 | 32 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 46 | 29 | 48 | 19 | 35 | 16 | 46.7% | 11.4% | 84.7% | 96.1 | FUN | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 28 | 12 | 12 | 4 | 0 | 31 | 10 | 16 | 19 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 21 | 12 | 22 | 8 | 16 | 8 | 50.0% | 7.1% | 90.3% | 97.5 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 38 | 8 | 16 | 14 | 0 | 32 | 14 | 4 | 26 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 22 | 13 | 20 | 8 | 17 | 8 | 40.0% | 10.5% | 81.3% | 91.8 | FUN | |
12 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 2 | 0 | 0 | 34 | 5 | 13 | 16 | 0 | 32 | 6 | 2 | 36 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 22 | 12 | 20 | 8 | 17 | 9 | 42.9% | 8.8% | 87.5% | 96.3 | Unlucky | |
_Vs Division | 6 | 2 | 2 | 0 | 0 | 0 | 1 | 1 | 15 | 17 | -2 | 7 | 0.583 | 15 | 25 | 40 | 0 | 1 | 2 | 6 | 6 | 4 | 207 | 56 | 65 | 83 | 11 | 183 | 52 | 46 | 139 | 22 | 3 | 13.64% | 18 | 4 | 77.78% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 136 | 82 | 132 | 52 | 100 | 50 | 48.0% | 7.2% | 90.7% | 98.0 | Unlucky | |
_Vs Conference | 8 | 2 | 3 | 0 | 0 | 1 | 1 | 1 | 20 | 25 | -5 | 8 | 0.500 | 20 | 32 | 52 | 0 | 1 | 4 | 8 | 7 | 4 | 269 | 76 | 84 | 106 | 11 | 246 | 70 | 52 | 197 | 26 | 3 | 11.54% | 21 | 4 | 80.95% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 179 | 107 | 177 | 70 | 134 | 67 | 44.7% | 7.4% | 89.8% | 97.3 | Unlucky | |
_Since Last GM Reset | 15 | 4 | 5 | 0 | 2 | 1 | 2 | 1 | 46 | 48 | -2 | 18 | 0.600 | 46 | 77 | 123 | 0 | 2 | 7 | 16 | 19 | 9 | 497 | 131 | 170 | 188 | 19 | 445 | 138 | 100 | 384 | 46 | 6 | 13.04% | 40 | 8 | 80.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 337 | 203 | 328 | 133 | 255 | 127 | 50.0% | 9.3% | 89.2% | 98.5 | FUN | |
Total | 15 | 4 | 5 | 0 | 2 | 1 | 2 | 1 | 46 | 48 | -2 | 18 | 0.600 | 46 | 77 | 123 | 0 | 2 | 7 | 16 | 19 | 9 | 497 | 131 | 170 | 188 | 19 | 445 | 138 | 100 | 384 | 46 | 6 | 13.04% | 40 | 8 | 80.00% | 0 | 165 | 361 | 45.71% | 155 | 327 | 47.40% | 118 | 239 | 49.37% | 337 | 203 | 328 | 133 | 255 | 127 | 50.0% | 9.3% | 89.2% | 98.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 361 |
Neutral Zone Start | 239 |
Defensive Zone Start | 327 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 438 |
Faceoffs Lost | 489 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.7 | 9.57 |
2nd Period | 20.1 | 20.31 |
3rd Period | 32.6 | 30.68 |
Overtime | 33.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.5 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 6 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 3 |
Lost | 3 | 2 |
Overtime Lost | 0 | 2 |
PP Attempt | 46 |
---|---|
PP Goal | 6 |
PK Attempt | 40 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 33.1 |
Shots Against | 29.7 |
Goals For | 3.1 |
Goals Against | 3.2 |
Hits | 25.6 |
Shots Blocked | 9.2 |
Pim | 6.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-08 | VS | PIT2,MIN4 | RECAP | |||||||||||
2023-10-10 | VS | MIN2,CGY4 | RECAP | |||||||||||
2023-10-13 | VS | MIN2,DET3 | RECAP | |||||||||||
2023-10-15 | VS | MIN4,ARI5 (SO) | RECAP | |||||||||||
2023-10-17 | VS | MIN3,SJS4 (OT) | RECAP | |||||||||||
2023-10-19 | VS | COL2,MIN1 | RECAP | |||||||||||
2023-10-24 | VS | ARI4,MIN5 (SO) | RECAP | |||||||||||
2023-10-29 | VS | NSH4,MIN1 | RECAP | |||||||||||
2023-11-02 | VS | NYI5,MIN6 (SO) | RECAP | |||||||||||
2023-11-08 | VS | MIN1,CHI0 | RECAP | |||||||||||
2023-11-10 | VS | CBJ2,MIN3 (OT) | RECAP | |||||||||||
2023-11-12 | VS | MIN3,NSH2 | RECAP | |||||||||||
2023-11-14 | VS | PIT0,MIN1 | RECAP | |||||||||||
2023-11-19 | VS | TBL6,MIN4 | RECAP | |||||||||||
2023-11-21 | VS | MIN6,TOR5 (OT) | RECAP | |||||||||||
2023-11-26 | VS | |||||||||||||
2023-11-28 | VS | |||||||||||||
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2024-03-25 | VS | |||||||||||||
2024-03-28 | VS | |||||||||||||
2024-03-31 | VS | |||||||||||||
2024-04-06 | VS | |||||||||||||
2024-04-08 | VS | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-12 | VS | |||||||||||||
2024-04-15 | VS | |||||||||||||
2024-04-17 | VS | |||||||||||||
2024-04-20 | VS | |||||||||||||
2024-04-22 | VS | |||||||||||||
2024-04-23 | VS | |||||||||||||
2024-04-27 | VS | |||||||||||||
2024-04-30 | VS | |||||||||||||
2024-05-01 | VS | |||||||||||||
2024-05-06 | VS | |||||||||||||
2024-05-08 | VS | |||||||||||||
2024-05-10 | VS | |||||||||||||
2024-05-12 | VS | |||||||||||||
2024-05-14 | VS | |||||||||||||
2024-05-18 | VS | |||||||||||||
2024-05-20 | VS | |||||||||||||
2024-05-23 | VS | |||||||||||||
2024-05-27 | VS | |||||||||||||
2024-05-30 | VS | |||||||||||||
2024-05-31 | VS |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,539,125$ | 625,000$ | 82,539,125$ | 2,460,875$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Xcel Energy Center | |
City | Minnesota | ||
Capacity | 16838 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 5000 | 5000 | 2000 | 3838 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 200$ |
Attendance | 38368 | 34587 | 15858 | 25895 | 8000 |
Attendance PCT | 95.92% | 86.47% | 99.11% | 84.34% | 100.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
33 | 15339 - 91.09% | 1,927,937$ | 15,423,499$ | 16838 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,539,125$ | 82,514,125$ | 0$ | 625,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
15,540,289$ | 82,539,125$ | 15,426,174$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
63,621,933$ | 195 | 344,561$ | 67,189,395$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
67,993,590$ | 82,539,125$ | 103,607,449$ | 104,738,129$ |
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 |
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2024 | |||||
2026 | |||||
2027 | |||||
2028 |
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 |
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Adam Gajan | |||||
Maksim Sushko | |||||
Roman Kantserov | |||||
Sampo Ranta |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
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2024 | |||||
2026 | |||||
2027 | |||||
2028 |
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 |
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Adam Gajan | |||||
Maksim Sushko | |||||
Roman Kantserov | |||||
Sampo Ranta |
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