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Full Scoreboard »» |
| Minnesota Wild 15-3-0, 30pts · 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$/5yrs | |||
Valeri Nichushkin | 0 | LW/RW | 100.00 | 72 | 34 | 89 | 79 | 85 | 90 | 80 | 77 | 59 | 72 | 86 | 71 | 81 | 76 | 75 | 0 | 63 | 87 | 30 | 6,125,000$/5yrs | |||
Tomas Hertl | 0 | C/LW | 100.00 | 71 | 34 | 88 | 74 | 86 | 87 | 85 | 74 | 89 | 72 | 79 | 74 | 77 | 79 | 77 | 0 | 73 | 85 | 32 | 7,750,000$/5yrs | |||
Zach Hyman | 0 | LW/RW | 100.00 | 67 | 33 | 82 | 72 | 82 | 88 | 89 | 76 | 59 | 67 | 87 | 56 | 82 | 81 | 79 | 0 | 63 | 84 | 33 | 6,000,000$/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 | 64 | 83 | 27 | 8,000,000$/5yrs | |||
Brayden Schenn | 0 | C/LW/RW | 100.00 | 81 | 47 | 75 | 68 | 78 | 85 | 90 | 68 | 84 | 71 | 70 | 70 | 69 | 82 | 88 | 0 | 63 | 81 | 34 | 6,500,000$/3yrs | |||
Chandler Stephenson | 0 | C/LW | 100.00 | 61 | 35 | 88 | 70 | 80 | 88 | 89 | 70 | 88 | 76 | 67 | 75 | 69 | 78 | 76 | 0 | 63 | 81 | 31 | 5,500,000$/5yrs | |||
Lawson Crouse | 0 | LW/RW | 100.00 | 82 | 41 | 84 | 67 | 87 | 81 | 90 | 63 | 59 | 61 | 69 | 74 | 66 | 72 | 70 | 0 | 63 | 78 | 28 | 4,300,000$/3yrs | |||
Alexander Kerfoot | 0 | C/LW | 100.00 | 65 | 32 | 91 | 62 | 72 | 83 | 90 | 63 | 80 | 68 | 64 | 79 | 64 | 77 | 76 | 0 | 63 | 77 | 31 | 3,500,000$/1yrs | |||
Noah Cates | 0 | C/LW | 100.00 | 68 | 32 | 96 | 65 | 67 | 81 | 86 | 64 | 79 | 65 | 65 | 74 | 65 | 69 | 69 | 0 | 63 | 76 | 26 | 4,000,000$/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 | 63 | 75 | 34 | 2,100,000$/1yrs | |||
Sheldon Rempal | 27 | RW | 100.00 | 65 | 37 | 81 | 59 | 63 | 71 | 87 | 65 | 50 | 59 | 65 | 67 | 62 | 72 | 70 | 0 | 66 | 73 | 30 | 800,000$/1yrs | |||
Jonas Brodin | 0 | D | 100.00 | 60 | 33 | 89 | 63 | 78 | 95 | 82 | 66 | 30 | 69 | 61 | 81 | 64 | 79 | 78 | 0 | 63 | 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 | 100.00 | 68 | 33 | 91 | 58 | 83 | 90 | 90 | 63 | 30 | 66 | 57 | 76 | 60 | 78 | 77 | 0 | 63 | 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 | 63 | 77 | 27 | 5,000,000$/3yrs | |||
Zac Jones | 0 | D | 100.00 | 63 | 32 | 85 | 60 | 68 | 83 | 77 | 56 | 30 | 64 | 56 | 59 | 56 | 65 | 64 | 0 | 63 | 72 | 25 | 950,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Juho Lammikko | 0 | RW | 100.00 | 71 | 33 | 93 | 65 | 77 | 76 | 60 | 64 | 81 | 57 | 57 | 70 | 65 | 71 | 70 | 0 | 22 | 73 | 29 | 800,000$/2yrs | |||
Klim Kostin | 0 | C | 100.00 | 84 | 45 | 69 | 59 | 86 | 74 | 79 | 58 | 59 | 60 | 61 | 58 | 59 | 68 | 65 | 0 | 22 | 71 | 26 | 1,300,000$/1yrs | |||
| TEAM AVERAGE | 100.00 | 70 | 35 | 86 | 66 | 77 | 85 | 84 | 66 | 59 | 68 | 67 | 70 | 67 | 75 | 75 | 0 | 59 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thatcher Demko | 0 | 100.00 | 83 | 86 | 77 | 80 | 88 | 79 | 88 | 90 | 87 | 90 | 88 | 75 | 79 | 0 | 65 | 88 | 29 | 5,000,000$/1yrs |
Devon Levi | 0 | 100.00 | 66 | 71 | 70 | 74 | 74 | 67 | 77 | 85 | 78 | 83 | 77 | 64 | 68 | 0 | 66 | 79 | 23 | 1,100,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 75 | 79 | 74 | 77 | 81 | 73 | 83 | 88 | 83 | 87 | 83 | 70 | 74 | 0 | 66 | 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 | 18 | 5 | 17 | 22 | 12 | 6 | 0 | 27 | 73 | 24 | 53 | 6.85% | 7 | 21.50 | 3 | 4 | 7 | 69 | 0 | 0 | 0 | 37 | 2 | 0 | 53.55% | 521 | 0 | 0 | 0 | 0 | 1.14 | 0 | 0 | |
| 2 | Valeri Nichushkin | 0 | LW/RW | 18 | 10 | 10 | 20 | 12 | 12 | 0 | 45 | 100 | 22 | 65 | 10.00% | 5 | 23.47 | 0 | 3 | 3 | 69 | 1 | 1 | 2 | 73 | 2 | 0 | 49.44% | 178 | 0 | 0 | 2 | 0 | 0.95 | 0 | 0 | |
| 3 | Chandler Stephenson | 0 | C/LW | 18 | 8 | 12 | 20 | 3 | 0 | 0 | 5 | 55 | 14 | 46 | 14.55% | 3 | 16.78 | 3 | 5 | 8 | 65 | 0 | 0 | 0 | 0 | 0 | 0 | 53.45% | 449 | 0 | 0 | 0 | 1 | 1.32 | 0 | 0 | |
| 4 | Zach Hyman | 0 | LW/RW | 18 | 8 | 10 | 18 | 5 | 2 | 0 | 22 | 63 | 21 | 43 | 12.70% | 7 | 21.34 | 4 | 4 | 8 | 65 | 1 | 0 | 1 | 78 | 0 | 1 | 47.50% | 40 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | |
| 5 | Brayden Schenn | 0 | C/LW/RW | 18 | 4 | 13 | 17 | 3 | 16 | 0 | 54 | 40 | 16 | 37 | 10.00% | 2 | 16.86 | 1 | 6 | 7 | 65 | 0 | 0 | 0 | 1 | 2 | 0 | 57.69% | 26 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 | |
| 6 | Samuel Girard | 0 | D | 18 | 6 | 9 | 15 | 5 | 12 | 0 | 20 | 21 | 6 | 14 | 28.57% | 19 | 20.09 | 4 | 5 | 9 | 61 | 0 | 0 | 0 | 51 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
| 7 | Alex DeBrincat | 0 | C/LW/RW | 18 | 6 | 7 | 13 | 10 | 13 | 5 | 7 | 62 | 18 | 45 | 9.68% | 4 | 21.23 | 1 | 2 | 3 | 68 | 0 | 0 | 0 | 38 | 0 | 1 | 42.37% | 59 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
| 8 | Cody Ceci | 0 | D | 18 | 3 | 9 | 12 | 5 | 12 | 0 | 26 | 30 | 4 | 11 | 10.00% | 33 | 23.42 | 2 | 4 | 6 | 61 | 0 | 0 | 0 | 53 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 9 | Jonas Brodin | 0 | D | 18 | 3 | 9 | 12 | 7 | 11 | 5 | 13 | 38 | 7 | 16 | 7.89% | 33 | 26.32 | 2 | 2 | 4 | 70 | 0 | 2 | 2 | 66 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
| 10 | Lawson Crouse | 0 | LW/RW | 18 | 6 | 4 | 10 | 5 | 12 | 0 | 32 | 37 | 7 | 17 | 16.22% | 1 | 9.70 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 54.55% | 11 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | |
| 11 | Tomas Hertl | 0 | C/LW | 18 | 3 | 7 | 10 | 5 | 4 | 0 | 13 | 44 | 13 | 33 | 6.82% | 4 | 9.92 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 50.49% | 204 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 | |
| 12 | Calle Jarnkrok | 0 | C/LW/RW | 18 | 2 | 5 | 7 | 5 | 2 | 0 | 8 | 18 | 6 | 14 | 11.11% | 0 | 9.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 14.29% | 7 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | |
| 13 | Matt Roy | 0 | D | 18 | 1 | 6 | 7 | 10 | 19 | 5 | 46 | 6 | 4 | 3 | 16.67% | 23 | 16.89 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 64 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 14 | Alexander Kerfoot | 0 | C/LW | 18 | 2 | 2 | 4 | 0 | 2 | 0 | 17 | 22 | 5 | 10 | 9.09% | 0 | 8.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 1 | 0 | 51.74% | 201 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 15 | Oliver Ekman-Larsson | 0 | D | 18 | 1 | 3 | 4 | 7 | 28 | 0 | 40 | 20 | 3 | 7 | 5.00% | 12 | 19.39 | 0 | 0 | 0 | 72 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
| 16 | Zac Jones | 0 | D | 18 | 0 | 3 | 3 | 8 | 8 | 0 | 14 | 4 | 0 | 0 | 0.00% | 12 | 14.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 17 | Noah Cates | 0 | C/LW | 18 | 2 | 1 | 3 | 0 | 6 | 0 | 6 | 19 | 0 | 17 | 10.53% | 0 | 6.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 14 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
| 18 | Sheldon Rempal | 27 | RW | 18 | 1 | 1 | 2 | 0 | 2 | 0 | 14 | 12 | 7 | 5 | 8.33% | 1 | 6.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| Team Total or Average | 324 | 71 | 128 | 199 | 102 | 167 | 15 | 409 | 664 | 177 | 436 | 10.69% | 166 | 16.26 | 20 | 36 | 56 | 677 | 2 | 4 | 6 | 513 | 15 | 3 | 52.01% | 1715 | 0 | 0 | 2 | 1 | 0.76 | 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 | 8 | 3 | 1 | 0 | |
| 2 | Devon Levi | 8 | 6 | 2 | 0 | 0.935 | 2.13 | 479 | 0 | 2 | 17 | 263 | 0 | 0 | 0 | 0.000 | 0 | 8 | 10 | 2 | 1 | 0 | |
| Team Total or Average | 18 | 15 | 3 | 0 | 0.931 | 2.28 | 1079 | 2 | 3 | 41 | 597 | 0 | 0 | 0 | 0.000 | 0 | 18 | 18 | 5 | 2 | 0 |
| Projected Total Cap Hit | 94,494,354$ |
| Projected Cap Space | 1,005,646$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 19,089,987$ |
| Players In Salary Cap | 22 |
| LTIR Players | 0 |
| 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 | 32 | 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 |
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| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 2 | 5 | 0 | 0 | 39 | 19 | 12 | 8 | 0 | 39 | 9 | 10 | 18 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 24 | 16 | 22 | 7 | 12 | 6 | 100.0% | 17.9% | 97.4% | 115.4 | LUCKY | |
| 2 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 25 | 17 | 21 | 7 | 12 | 6 | 25.0% | 3.0% | 89.3% | 92.3 | Unlucky | |
| 3 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 23 | 16 | 23 | 7 | 13 | 6 | nan% | 7.4% | 100.0% | 107.4 | DULL | |
| 4 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 25 | 17 | 21 | 7 | 12 | 6 | 42.9% | 14.3% | 88.2% | 102.5 | FUN | |
| 5 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 21 | 14 | 26 | 7 | 11 | 5 | 60.0% | 24.2% | 89.1% | 113.4 | FUN | |
| 6 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 25 | 18 | 21 | 7 | 12 | 6 | 71.4% | 11.6% | 89.7% | 101.3 | FUN | |
| 7 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 24 | 17 | 21 | 7 | 13 | 7 | 66.7% | 17.6% | 90.0% | 107.6 | FUN | |
| 8 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 29 | 21 | 17 | 7 | 13 | 7 | 100.0% | 4.5% | 100.0% | 104.5 | DULL | |
| 9 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 20 | 13 | 27 | 8 | 11 | 5 | 100.0% | 8.3% | 97.1% | 105.4 | DULL | |
| 10 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 23 | 16 | 24 | 7 | 11 | 5 | 66.7% | 7.1% | 97.5% | 104.6 | DULL | |
| 11 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 21 | 14 | 25 | 7 | 12 | 5 | 50.0% | 8.8% | 95.5% | 104.3 | DULL | |
| 12 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 26 | 17 | 20 | 7 | 12 | 6 | 83.3% | 17.1% | 93.5% | 110.7 | LUCKY | |
| 13 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 22 | 15 | 23 | 7 | 13 | 6 | 66.7% | 12.1% | 91.7% | 103.8 | LUCKY | |
| 14 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 26 | 18 | 20 | 7 | 13 | 6 | 42.9% | 10.5% | 82.9% | 93.4 | FUN | |
| 15 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 27 | 19 | 19 | 7 | 13 | 6 | 33.3% | 8.7% | 90.6% | 99.3 | Unlucky | |
| 16 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 24 | 17 | 22 | 6 | 12 | 6 | 62.5% | 11.4% | 92.3% | 103.7 | LUCKY | |
| 17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 0 | 3 | 0 | 0 | 77 | 31 | 23 | 23 | 0 | 66 | 16 | 18 | 55 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 47 | 33 | 49 | 13 | 22 | 11 | 66.7% | 3.9% | 97.0% | 100.9 | 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 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 125 | 85 | 111 | 37 | 63 | 32 | 56.5% | 10.3% | 92.3% | 102.6 | LUCKY | |
| _Vs Conference | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 34 | 18 | 16 | 16 | 0.800 | 34 | 61 | 95 | 0 | 2 | 12 | 15 | 7 | 0 | 379 | 132 | 118 | 129 | 0 | 343 | 96 | 97 | 242 | 49 | 10 | 20.41% | 46 | 7 | 84.78% | 1 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 247 | 169 | 228 | 74 | 123 | 63 | 68.6% | 9.0% | 94.8% | 103.7 | LUCKY | |
| _Since Last GM Reset | 18 | 15 | 3 | 0 | 0 | 0 | 0 | 0 | 70 | 41 | 29 | 30 | 0.833 | 70 | 130 | 200 | 0 | 3 | 24 | 26 | 20 | 0 | 661 | 226 | 222 | 213 | 0 | 597 | 163 | 169 | 414 | 87 | 20 | 22.99% | 75 | 11 | 85.33% | 2 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 441 | 304 | 411 | 133 | 226 | 115 | 62.5% | 10.6% | 93.1% | 103.7 | LUCKY | |
| Total | 18 | 15 | 3 | 0 | 0 | 0 | 0 | 0 | 70 | 41 | 29 | 30 | 0.833 | 70 | 130 | 200 | 0 | 3 | 24 | 26 | 20 | 0 | 661 | 226 | 222 | 213 | 0 | 597 | 163 | 169 | 414 | 87 | 20 | 22.99% | 75 | 11 | 85.33% | 2 | 371 | 755 | 49.14% | 361 | 662 | 54.53% | 158 | 284 | 55.63% | 441 | 304 | 411 | 133 | 226 | 115 | 62.5% | 10.6% | 93.1% | 103.7 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 755 |
| Neutral Zone Start | 284 |
| Defensive Zone Start | 662 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 890 |
| Faceoffs Lost | 811 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.6 | 9.57 |
| 2nd Period | 24.9 | 20.31 |
| 3rd Period | 36.7 | 30.68 |
| Overtime | 36.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.3 | 0.64 |
| 2nd Period | 2.8 | 1.65 |
| 3rd Period | 3.9 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 48 |
|---|---|
| PP Goal | 20 |
| PK Goal | 2 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 8 | 7 |
| Lost | 2 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 87 |
|---|---|
| PP Goal | 20 |
| PK Attempt | 75 |
| PK Goal Against | 11 |
| Home | |
|---|---|
| Shots For | 36.7 |
| Shots Against | 33.2 |
| Goals For | 3.9 |
| Goals Against | 2.3 |
| Hits | 23.0 |
| Shots Blocked | 9.1 |
| Pim | 9.4 |
| 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 | |||||||||||
| 2025-11-10 | @ | Flames1,Wild7 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,625,000$ | 0$ | 94,494,354$ | 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 | 57063 | 48538 | 19473 | 38496 | 9746 |
| Attendance PCT | 95.11% | 97.08% | 97.37% | 96.24% | 97.46% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 31 | 17332 - 96.29% | 1,587,526$ | 15,875,255$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 94,625,000$ | 94,625,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 19,293,101$ | 492,839$ | 19,089,987$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 49,213,290$ | 153 | 498,047$ | 76,201,191$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 78,159,822$ | 94,625,000$ | 83,223,325$ | 54,276,793$ |
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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| 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) |
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| 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. |
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| 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 |
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