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Full Scoreboard »» |
| Minnesota Wild 14-2-0, 28pts · 1st in Western |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksander Barkov | 0 | C | 100.00 | 72 | 34 | 90 | 80 | 86 | 89 | 87 | 79 | 89 | 87 | 75 | 81 | 77 | 76 | 88 | 0 | 53 | 90 | 30 | 10,000,000$/5yrs | |||
Valeri Nichushkin | 0 | LW/RW | 97.00 | 72 | 34 | 89 | 79 | 85 | 90 | 80 | 77 | 59 | 72 | 86 | 71 | 81 | 76 | 75 | 0 | 62 | 87 | 30 | 6,125,000$/5yrs | |||
Tomas Hertl | 0 | C/LW | 100.00 | 71 | 34 | 88 | 74 | 86 | 87 | 85 | 74 | 89 | 72 | 79 | 74 | 77 | 79 | 77 | 0 | 72 | 85 | 31 | 7,750,000$/5yrs | |||
Zach Hyman | 0 | LW/RW | 98.00 | 67 | 33 | 82 | 72 | 82 | 88 | 89 | 76 | 59 | 67 | 87 | 56 | 82 | 81 | 79 | 0 | 62 | 84 | 33 | 6,000,000$/3yrs | |||
Alex DeBrincat | 0 | C/LW/RW | 100.00 | 63 | 36 | 86 | 77 | 65 | 86 | 90 | 75 | 60 | 74 | 80 | 59 | 78 | 71 | 70 | 0 | 63 | 83 | 27 | 8,000,000$/5yrs | |||
Brayden Schenn | 0 | C/LW/RW | 100.00 | 81 | 47 | 75 | 68 | 78 | 85 | 90 | 68 | 84 | 71 | 70 | 70 | 69 | 82 | 88 | 0 | 62 | 81 | 34 | 6,500,000$/3yrs | |||
Chandler Stephenson | 0 | C/LW | 100.00 | 61 | 35 | 88 | 70 | 80 | 88 | 89 | 70 | 88 | 76 | 67 | 75 | 69 | 78 | 76 | 0 | 62 | 81 | 31 | 5,500,000$/5yrs | |||
Lawson Crouse | 0 | LW/RW | 100.00 | 82 | 41 | 84 | 67 | 87 | 81 | 90 | 63 | 59 | 61 | 69 | 74 | 66 | 72 | 70 | 0 | 62 | 78 | 28 | 4,300,000$/3yrs | |||
Alexander Kerfoot | 0 | C/LW | 100.00 | 65 | 32 | 91 | 62 | 72 | 83 | 90 | 63 | 80 | 68 | 64 | 79 | 64 | 77 | 76 | 0 | 62 | 77 | 31 | 3,500,000$/1yrs | |||
Noah Cates | 0 | C/LW | 100.00 | 68 | 32 | 96 | 65 | 67 | 81 | 86 | 64 | 79 | 65 | 65 | 74 | 65 | 69 | 69 | 0 | 62 | 76 | 26 | 4,000,000$/4yrs | |||
Calle Jarnkrok | 0 | C/LW/RW | 100.00 | 68 | 32 | 89 | 59 | 75 | 80 | 76 | 65 | 61 | 65 | 65 | 64 | 65 | 82 | 80 | 0 | 62 | 75 | 34 | 2,100,000$/1yrs | |||
Sheldon Rempal | 27 | RW | 100.00 | 65 | 37 | 81 | 59 | 63 | 71 | 87 | 65 | 50 | 59 | 65 | 67 | 62 | 72 | 70 | 0 | 65 | 73 | 30 | 800,000$/1yrs | |||
Jonas Brodin | 0 | D | 98.00 | 60 | 33 | 89 | 63 | 78 | 95 | 82 | 66 | 30 | 69 | 61 | 81 | 64 | 79 | 78 | 0 | 62 | 81 | 32 | 5,500,000$/1yrs | |||
Matt Roy | 0 | D | 100.00 | 77 | 35 | 84 | 60 | 80 | 90 | 88 | 62 | 30 | 67 | 57 | 78 | 60 | 76 | 74 | 0 | 55 | 79 | 30 | 4,250,000$/4yrs | |||
Cody Ceci | 0 | D | 98.00 | 68 | 33 | 91 | 58 | 83 | 90 | 90 | 63 | 30 | 66 | 57 | 76 | 60 | 78 | 77 | 0 | 62 | 78 | 31 | 3,750,000$/1yrs | |||
Oliver Ekman-Larsson | 0 | D | 100.00 | 72 | 33 | 72 | 61 | 80 | 89 | 89 | 60 | 30 | 69 | 60 | 66 | 60 | 82 | 90 | 0 | 62 | 78 | 34 | 4,500,000$/2yrs | |||
Samuel Girard | 0 | D | 100.00 | 68 | 32 | 93 | 63 | 65 | 90 | 85 | 61 | 30 | 67 | 56 | 74 | 59 | 70 | 69 | 0 | 62 | 77 | 27 | 5,000,000$/3yrs | |||
Zac Jones | 0 | D | 100.00 | 63 | 32 | 85 | 60 | 68 | 83 | 77 | 56 | 30 | 64 | 56 | 59 | 56 | 65 | 64 | 0 | 62 | 72 | 25 | 950,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Juho Lammikko | 0 | RW | 100.00 | 71 | 33 | 93 | 65 | 77 | 76 | 60 | 64 | 81 | 57 | 57 | 70 | 65 | 71 | 70 | 0 | 24 | 73 | 29 | 800,000$/2yrs | |||
Klim Kostin | 0 | C | 100.00 | 84 | 45 | 69 | 59 | 86 | 74 | 79 | 58 | 59 | 60 | 61 | 58 | 59 | 68 | 65 | 0 | 24 | 71 | 26 | 1,300,000$/1yrs | |||
| TEAM AVERAGE | 99.55 | 70 | 35 | 86 | 66 | 77 | 85 | 84 | 66 | 59 | 68 | 67 | 70 | 67 | 75 | 75 | 0 | 58 | 79 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Devon Levi | 0 | 100.00 | 66 | 71 | 70 | 74 | 74 | 67 | 77 | 85 | 78 | 83 | 77 | 64 | 68 | 0 | 65 | 79 | 23 | 1,100,000$/2yrs |
| Scratches | ||||||||||||||||||||
Thatcher Demko | 0 | 94.00 | 83 | 86 | 77 | 80 | 88 | 79 | 88 | 90 | 87 | 90 | 88 | 75 | 79 | 0 | 64 | 88 | 29 | 5,000,000$/1yrs |
| TEAM AVERAGE | 97.00 | 75 | 79 | 74 | 77 | 81 | 73 | 83 | 88 | 83 | 87 | 83 | 70 | 74 | 0 | 65 | 84 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bruce Boudreau | 78 | 69 | 90 | 83 | 99 | 92 | 74 | CAN | 69 | 4 | 1,000,000$ |
| General Manager | Zachary Marcotte |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Aleksander Barkov | 0 | C | 16 | 5 | 15 | 20 | 9 | 6 | 0 | 22 | 61 | 21 | 47 | 8.20% | 7 | 21.57 | 3 | 4 | 7 | 64 | 0 | 0 | 0 | 31 | 2 | 0 | 53.23% | 464 | 0 | 0 | 0 | 0 | 1.16 | 0 | 0 | |
| 2 | Chandler Stephenson | 0 | C/LW | 16 | 7 | 11 | 18 | 1 | 0 | 0 | 5 | 49 | 12 | 40 | 14.29% | 3 | 16.89 | 3 | 5 | 8 | 60 | 0 | 0 | 0 | 0 | 0 | 0 | 53.33% | 405 | 0 | 0 | 0 | 1 | 1.33 | 0 | 0 | |
| 3 | Valeri Nichushkin | 0 | LW/RW | 16 | 9 | 8 | 17 | 9 | 12 | 0 | 36 | 86 | 18 | 56 | 10.47% | 5 | 23.40 | 0 | 3 | 3 | 64 | 1 | 1 | 2 | 60 | 2 | 0 | 51.68% | 149 | 0 | 0 | 2 | 0 | 0.91 | 0 | 0 | |
| 4 | Brayden Schenn | 0 | C/LW/RW | 16 | 4 | 12 | 16 | 1 | 12 | 0 | 49 | 38 | 13 | 36 | 10.53% | 2 | 16.99 | 1 | 6 | 7 | 60 | 0 | 0 | 0 | 1 | 2 | 0 | 60.00% | 20 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 | |
| 5 | Zach Hyman | 0 | LW/RW | 16 | 7 | 9 | 16 | 3 | 2 | 0 | 20 | 60 | 17 | 35 | 11.67% | 7 | 21.23 | 4 | 4 | 8 | 60 | 1 | 0 | 1 | 65 | 0 | 1 | 47.22% | 36 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | |
| 6 | Samuel Girard | 0 | D | 16 | 6 | 9 | 15 | 4 | 10 | 0 | 20 | 20 | 6 | 12 | 30.00% | 14 | 20.21 | 4 | 5 | 9 | 56 | 0 | 0 | 0 | 43 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | |
| 7 | Cody Ceci | 0 | D | 16 | 3 | 8 | 11 | 3 | 12 | 0 | 21 | 28 | 3 | 11 | 10.71% | 28 | 23.32 | 2 | 4 | 6 | 56 | 0 | 0 | 0 | 44 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 8 | Jonas Brodin | 0 | D | 16 | 3 | 8 | 11 | 3 | 7 | 5 | 11 | 37 | 5 | 14 | 8.11% | 30 | 26.37 | 2 | 2 | 4 | 65 | 0 | 2 | 2 | 58 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 9 | Alex DeBrincat | 0 | C/LW/RW | 16 | 4 | 6 | 10 | 7 | 13 | 5 | 7 | 55 | 15 | 36 | 7.27% | 4 | 21.28 | 1 | 2 | 3 | 63 | 0 | 0 | 0 | 32 | 0 | 1 | 42.86% | 56 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 10 | Lawson Crouse | 0 | LW/RW | 16 | 6 | 4 | 10 | 5 | 12 | 0 | 28 | 34 | 7 | 16 | 17.65% | 1 | 9.72 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 54.55% | 11 | 0 | 0 | 0 | 0 | 1.29 | 0 | 0 | |
| 11 | Tomas Hertl | 0 | C/LW | 16 | 3 | 6 | 9 | 5 | 4 | 0 | 12 | 39 | 12 | 26 | 7.69% | 3 | 9.97 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 48.63% | 183 | 0 | 0 | 0 | 0 | 1.13 | 0 | 0 | |
| 12 | Calle Jarnkrok | 0 | C/LW/RW | 16 | 2 | 4 | 6 | 5 | 2 | 0 | 8 | 15 | 4 | 10 | 13.33% | 0 | 9.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 14.29% | 7 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 13 | Matt Roy | 0 | D | 16 | 1 | 5 | 6 | 8 | 15 | 5 | 37 | 6 | 4 | 3 | 16.67% | 19 | 16.86 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 14 | Zac Jones | 0 | D | 16 | 0 | 3 | 3 | 6 | 6 | 0 | 9 | 4 | 0 | 0 | 0.00% | 12 | 14.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
| 15 | Alexander Kerfoot | 0 | C/LW | 16 | 1 | 1 | 2 | -2 | 2 | 0 | 16 | 18 | 5 | 8 | 5.56% | 0 | 8.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 53.18% | 173 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 16 | Sheldon Rempal | 27 | RW | 16 | 1 | 1 | 2 | -2 | 2 | 0 | 13 | 10 | 7 | 5 | 10.00% | 1 | 6.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 17 | Oliver Ekman-Larsson | 0 | D | 16 | 0 | 2 | 2 | 4 | 24 | 0 | 36 | 17 | 2 | 6 | 0.00% | 10 | 19.44 | 0 | 0 | 0 | 66 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
| 18 | Noah Cates | 0 | C/LW | 16 | 1 | 1 | 2 | -2 | 4 | 0 | 6 | 14 | 0 | 15 | 7.14% | 0 | 6.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 14 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| Team Total or Average | 288 | 63 | 113 | 176 | 67 | 145 | 15 | 356 | 591 | 151 | 376 | 10.66% | 146 | 16.28 | 20 | 36 | 56 | 628 | 2 | 4 | 6 | 435 | 14 | 3 | 52.04% | 1522 | 0 | 0 | 2 | 1 | 0.75 | 0 | 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 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 | Thatcher Demko | 10 | 9 | 1 | 0 | 0.928 | 2.40 | 600 | 2 | 1 | 24 | 334 | 0 | 0 | 0 | 0.000 | 0 | 10 | 6 | 3 | 1 | 0 | |
| 2 | Devon Levi | 6 | 5 | 1 | 0 | 0.927 | 2.33 | 360 | 0 | 2 | 14 | 193 | 0 | 0 | 0 | 0.000 | 0 | 6 | 10 | 2 | 0 | 0 | |
| Team Total or Average | 16 | 14 | 2 | 0 | 0.928 | 2.38 | 960 | 2 | 3 | 38 | 527 | 0 | 0 | 0 | 0.000 | 0 | 16 | 16 | 5 | 1 | 0 |
| Projected Total Cap Hit | 90,327,634$ |
| Projected Cap Space | 5,172,366$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 15,640,114$ |
| Players In Salary Cap | 21 |
| LTIR Players | 1 |
| Wild Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksander Barkov ![]() | C | 30 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | ||
Alex DeBrincat ![]() | C/LW/RW | 27 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Alexander Kerfoot ![]() | C/LW | 31 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Brayden Schenn ![]() | C/LW/RW | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Calle Jarnkrok ![]() | C/LW/RW | 34 | 2,100,000$ | 2,100,000$ | UFA | ||||||
Chandler Stephenson ![]() | C/LW | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
Cody Ceci ![]() | D | 31 | 3,750,000$ | 3,750,000$ | UFA | ||||||
Devon Levi | G | 23 | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Jonas Brodin ![]() | D | 32 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Juho Lammikko | RW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Klim Kostin ![]() | C | 26 | 1,300,000$ | 1,300,000$ | |||||||
Lawson Crouse ![]() | LW/RW | 28 | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | ||||
Matt Roy ![]() | D | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
Noah Cates ![]() | C/LW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Oliver Ekman-Larsson ![]() | D | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Samuel Girard ![]() | D | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Sheldon Rempal | RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
| Thatcher Demko | G | 29 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Tomas Hertl ![]() | C/LW | 31 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | ||
Valeri Nichushkin ![]() | LW/RW | 30 | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | 6,125,000$ | UFA | ||
Zac Jones | D | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Zach Hyman ![]() | LW/RW | 33 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
| Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Holtz | LW/RW | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Anttoni Honka | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Brett Seney | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cameron Hughes | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Charles-Alexis Legault | D | 22 | 915,833$ | 915,833$ | 915,833$ | RFA | |||||
Chase de Leo | C | 30 | 800,000$ | 800,000$ | UFA | ||||||
Chris Terry | LW/RW | 36 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Christoffer Sedoff | D | 23 | 870,000$ | 870,000$ | RFA | ||||||
Curtis McKenzie | LW | 34 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Daniil Chayka | D | 23 | 825,000$ | 825,000$ | RFA | ||||||
Evan Nause | D | 22 | 864,167$ | 864,167$ | RFA | ||||||
Grigori Denisenko | LW/RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Henri Nikkanen | C | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Henry Rybinski | RW | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Ivan Prosvetov | G | 26 | 950,000$ | 950,000$ | |||||||
Jake Wise | C | 25 | 800,000$ | 800,000$ | |||||||
Josh Bloom | LW | 22 | 836,667$ | 836,667$ | RFA | ||||||
Magnus Chrona | G | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Marian Studenic | LW/RW | 27 | 1,250,000$ | 1,250,000$ | |||||||
Max McCormick | LW | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Nikita Novikov | D | 22 | 867,500$ | 867,500$ | RFA | ||||||
Owen Lindmark | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Philippe Daoust | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Rodwin Dionicio | D | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Roman Schmidt | D | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Rory Kerins | C | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Ryan O'Rourke | D | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Walker Duehr | RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Wyatt Aamodt | D | 27 | 775,000$ | 775,000$ | |||||||
Xavier Bourgeault | RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 33 | 4 | 15 | 14 | 0 | 28 | 2 | 6 | 20 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 25 | 17 | 21 | 7 | 12 | 6 | 25.0% | 3.0% | 89.3% | 92.3 | Unlucky | |
| 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 27 | 7 | 14 | 6 | 0 | 24 | 6 | 4 | 17 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 23 | 16 | 23 | 7 | 13 | 6 | nan% | 7.4% | 100.0% | 107.4 | DULL | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 35 | 16 | 15 | 4 | 0 | 34 | 5 | 10 | 21 | 3 | 2 | 66.67% | 4 | 0 | 100.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 25 | 17 | 21 | 7 | 12 | 6 | 42.9% | 14.3% | 88.2% | 102.5 | FUN | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 4 | 2 | 0 | 33 | 10 | 13 | 10 | 0 | 46 | 9 | 15 | 22 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 21 | 14 | 26 | 7 | 11 | 5 | 60.0% | 24.2% | 89.1% | 113.4 | FUN | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 0 | 4 | 0 | 43 | 17 | 11 | 15 | 0 | 29 | 8 | 6 | 21 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 1 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 25 | 18 | 21 | 7 | 12 | 6 | 71.4% | 11.6% | 89.7% | 101.3 | FUN | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 34 | 12 | 13 | 9 | 0 | 30 | 8 | 12 | 21 | 6 | 2 | 33.33% | 5 | 1 | 80.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 24 | 17 | 21 | 7 | 13 | 7 | 66.7% | 17.6% | 90.0% | 107.6 | FUN | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 44 | 9 | 16 | 19 | 0 | 22 | 3 | 4 | 18 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 29 | 21 | 17 | 7 | 13 | 7 | 100.0% | 4.5% | 100.0% | 104.5 | DULL | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 24 | 9 | 7 | 8 | 0 | 34 | 12 | 21 | 28 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 20 | 13 | 27 | 8 | 11 | 5 | 100.0% | 8.3% | 97.1% | 105.4 | DULL | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 42 | 14 | 15 | 13 | 0 | 40 | 12 | 8 | 24 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 23 | 16 | 24 | 7 | 11 | 5 | 66.7% | 7.1% | 97.5% | 104.6 | DULL | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 34 | 9 | 12 | 13 | 0 | 44 | 10 | 6 | 23 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 21 | 14 | 25 | 7 | 12 | 5 | 50.0% | 8.8% | 95.5% | 104.3 | DULL | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 1 | 2 | 0 | 35 | 10 | 11 | 14 | 0 | 31 | 10 | 10 | 32 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 1 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 26 | 17 | 20 | 7 | 12 | 6 | 83.3% | 17.1% | 93.5% | 110.7 | LUCKY | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 33 | 18 | 7 | 8 | 0 | 24 | 8 | 13 | 29 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 22 | 15 | 23 | 7 | 13 | 6 | 66.7% | 12.1% | 91.7% | 103.8 | LUCKY | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 3 | 1 | 0 | 0 | 38 | 12 | 13 | 13 | 0 | 35 | 15 | 10 | 26 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 26 | 18 | 20 | 7 | 13 | 6 | 42.9% | 10.5% | 82.9% | 93.4 | FUN | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 46 | 19 | 9 | 18 | 0 | 32 | 9 | 10 | 18 | 9 | 3 | 33.33% | 5 | 1 | 80.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 27 | 19 | 19 | 7 | 13 | 6 | 33.3% | 8.7% | 90.6% | 99.3 | Unlucky | |
| 15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 44 | 10 | 16 | 18 | 0 | 39 | 21 | 6 | 21 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 24 | 17 | 22 | 6 | 12 | 6 | 62.5% | 11.4% | 92.3% | 103.7 | LUCKY | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 43 | 18 | 14 | 11 | 0 | 35 | 5 | 6 | 20 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 24 | 16 | 24 | 6 | 10 | 5 | 100.0% | 4.7% | 100.0% | 104.7 | DULL | |
| _Vs Division | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 20 | 14 | 6 | 8 | 0.800 | 20 | 34 | 54 | 0 | 0 | 10 | 5 | 5 | 0 | 195 | 64 | 60 | 71 | 0 | 182 | 56 | 44 | 123 | 30 | 7 | 23.33% | 22 | 4 | 81.82% | 1 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 125 | 85 | 111 | 37 | 63 | 32 | 56.5% | 10.3% | 92.3% | 102.6 | LUCKY | |
| _Vs Conference | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 26 | 15 | 11 | 14 | 0.875 | 26 | 46 | 72 | 0 | 2 | 10 | 9 | 7 | 0 | 306 | 100 | 97 | 109 | 0 | 273 | 76 | 75 | 189 | 44 | 10 | 22.73% | 35 | 5 | 85.71% | 1 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 199 | 136 | 181 | 59 | 99 | 50 | 61.5% | 8.5% | 94.5% | 103.0 | DULL | |
| _Since Last GM Reset | 16 | 14 | 2 | 0 | 0 | 0 | 0 | 0 | 62 | 38 | 24 | 28 | 0.875 | 62 | 115 | 177 | 0 | 3 | 22 | 20 | 20 | 0 | 588 | 194 | 201 | 193 | 0 | 527 | 143 | 147 | 361 | 82 | 20 | 24.39% | 64 | 9 | 85.94% | 2 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 393 | 271 | 364 | 118 | 202 | 103 | 59.2% | 10.5% | 92.8% | 103.3 | LUCKY | |
| Total | 16 | 14 | 2 | 0 | 0 | 0 | 0 | 0 | 62 | 38 | 24 | 28 | 0.875 | 62 | 115 | 177 | 0 | 3 | 22 | 20 | 20 | 0 | 588 | 194 | 201 | 193 | 0 | 527 | 143 | 147 | 361 | 82 | 20 | 24.39% | 64 | 9 | 85.94% | 2 | 332 | 673 | 49.33% | 318 | 581 | 54.73% | 140 | 254 | 55.12% | 393 | 271 | 364 | 118 | 202 | 103 | 59.2% | 10.5% | 92.8% | 103.3 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 673 |
| Neutral Zone Start | 254 |
| Defensive Zone Start | 581 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 790 |
| Faceoffs Lost | 718 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.1 | 9.57 |
| 2nd Period | 24.7 | 20.31 |
| 3rd Period | 36.8 | 30.68 |
| Overtime | 36.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.6 | 1.65 |
| 3rd Period | 3.9 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 40 |
|---|---|
| PP Goal | 20 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 7 | 7 |
| Lost | 1 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 82 |
|---|---|
| PP Goal | 20 |
| PK Attempt | 64 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 36.8 |
| Shots Against | 32.9 |
| Goals For | 3.9 |
| Goals Against | 2.4 |
| Hits | 22.6 |
| Shots Blocked | 8.9 |
| Pim | 9.2 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Wild3,Blues2 | RECAP | |||||||||||
| 2025-10-12 | @ | Blue Jackets2,Wild4 | RECAP | |||||||||||
| 2025-10-14 | @ | Kings1,Wild2 | RECAP | |||||||||||
| 2025-10-15 | @ | Wild4,Stars3 | RECAP | |||||||||||
| 2025-10-18 | @ | Wild6,Capitals3 | RECAP | |||||||||||
| 2025-10-19 | @ | Wild1,Flyers3 | RECAP | |||||||||||
| 2025-10-21 | @ | Wild5,Rangers3 | RECAP | |||||||||||
| 2025-10-23 | @ | Wild2,Devils0 | RECAP | |||||||||||
| 2025-10-26 | @ | Mammoth2,Wild6 | RECAP | |||||||||||
| 2025-10-27 | @ | Sharks0,Wild2 | RECAP | |||||||||||
| 2025-10-29 | @ | Jets6,Wild4 | RECAP | |||||||||||
| 2025-10-31 | @ | Penguins3,Wild5 | RECAP | |||||||||||
| 2025-11-02 | @ | Canucks0,Wild2 | RECAP | |||||||||||
| 2025-11-05 | @ | Predators1,Wild3 | RECAP | |||||||||||
| 2025-11-07 | @ | Wild8,Hurricanes5 | RECAP | |||||||||||
| 2025-11-08 | @ | Wild5,Islanders4 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 89,625,000$ | 0$ | 90,327,634$ | 5,875,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Xcel Energy Center | |
| City | Minnesota | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| Attendance | 45064 | 39135 | 15665 | 30689 | 7746 |
| Attendance PCT | 93.88% | 97.84% | 97.91% | 95.90% | 96.83% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 33 | 17287 - 96.04% | 1,579,370$ | 12,634,960$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 89,625,000$ | 89,625,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 15,806,772$ | 466,797$ | 15,640,114$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 52,119,210$ | 160 | 472,005$ | 75,520,800$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 77,576,668$ | 89,625,000$ | 83,566,596$ | 58,109,138$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
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| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| 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 |
|---|---|---|---|---|---|
| Barrett Hall | 2022 | 152 | |||
| Ben Merrill | 2024 | 185 | |||
| Benjamin Gaudreau | 2021 | 44 | |||
| Benton Maass | |||||
| Chase Pietila | 2024 | 137 | |||
| David Bedkowski | 2025 | 107 | |||
| Gregor Bieber | 2024 | 116 | |||
| Joe Miller | |||||
| Niklas Nordgren | 7C | ||||
| Noah Chadwick | 2023 | 191 | |||
| Petr Hauser | 2022 | 136 | |||
| Raoul Boilard | 2024 | 110 | |||
| Roman Shokhrin | 2024 | 201 | |||
| Samuel Sjolund | 2019 | 122 | |||
| Santeri Sulku | 2022 | 178 | |||
| Sutter Muzzatti | 2023 | 167 |
Thatcher Demko is out for 1 days because of a Exhaustion.
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