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Full Scoreboard »» |
| Minnesota Wild 29-10-0, 58pts · 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 | 71 | 90 | 30 | 10,000,000$/5yrs | |||
Tomas Hertl | 0 | C/LW | 100.00 | 71 | 34 | 88 | 74 | 86 | 87 | 85 | 74 | 89 | 72 | 79 | 74 | 77 | 79 | 77 | 0 | 84 | 85 | 32 | 7,750,000$/5yrs | |||
Zach Hyman | 0 | LW/RW | 100.00 | 67 | 33 | 82 | 72 | 82 | 88 | 89 | 76 | 59 | 67 | 87 | 56 | 82 | 81 | 79 | 0 | 80 | 84 | 33 | 6,000,000$/3yrs | |||
Alex DeBrincat | 0 | C/LW/RW | 100.00 | 63 | 36 | 86 | 77 | 65 | 86 | 90 | 75 | 60 | 74 | 80 | 59 | 78 | 71 | 70 | 0 | 81 | 83 | 28 | 8,000,000$/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 | 80 | 81 | 34 | 6,500,000$/3yrs | |||
Lawson Crouse | 0 | LW/RW | 100.00 | 82 | 41 | 84 | 67 | 87 | 81 | 90 | 63 | 59 | 61 | 69 | 74 | 66 | 72 | 70 | 0 | 80 | 78 | 28 | 4,300,000$/3yrs | |||
Alexander Kerfoot | 0 | C/LW | 100.00 | 65 | 32 | 91 | 62 | 72 | 83 | 90 | 63 | 80 | 68 | 64 | 79 | 64 | 77 | 76 | 0 | 80 | 77 | 31 | 3,500,000$/1yrs | |||
Chris Terry | 0 | LW/RW | 100.00 | 70 | 40 | 75 | 56 | 76 | 73 | 72 | 73 | 47 | 63 | 59 | 77 | 61 | 86 | 83 | 0 | 78 | 76 | 36 | 800,000$/2yrs | |||
Calle Jarnkrok | 0 | C/LW/RW | 100.00 | 68 | 32 | 89 | 59 | 75 | 80 | 76 | 65 | 61 | 65 | 65 | 64 | 65 | 82 | 80 | 0 | 80 | 75 | 34 | 2,100,000$/1yrs | |||
Sam Steel | 0 | C/LW | 97.72 | 69 | 32 | 88 | 61 | 71 | 83 | 90 | 60 | 79 | 62 | 60 | 73 | 60 | 72 | 70 | 0 | 11 | 74 | 27 | 2,100,000$/3yrs | |||
Cameron Hughes | 53 | C/LW | 100.00 | 72 | 40 | 72 | 58 | 72 | 70 | 73 | 66 | 45 | 61 | 61 | 70 | 61 | 74 | 71 | 0 | 75 | 73 | 29 | 800,000$/2yrs | |||
Sheldon Rempal | 27 | RW | 100.00 | 65 | 37 | 81 | 59 | 63 | 71 | 87 | 65 | 50 | 59 | 65 | 67 | 62 | 72 | 70 | 0 | 82 | 73 | 30 | 800,000$/1yrs | |||
Jonas Brodin | 0 | D | 100.00 | 60 | 33 | 89 | 63 | 78 | 95 | 82 | 66 | 30 | 69 | 61 | 81 | 64 | 79 | 78 | 0 | 80 | 81 | 32 | 5,500,000$/1yrs | |||
Adam Pelech | 0 | D | 100.00 | 70 | 36 | 83 | 63 | 84 | 90 | 83 | 64 | 30 | 68 | 52 | 78 | 58 | 77 | 75 | 0 | 39 | 79 | 31 | 5,750,000$/4yrs | |||
Matt Roy | 0 | D | 100.00 | 77 | 35 | 84 | 60 | 80 | 90 | 88 | 62 | 30 | 67 | 57 | 78 | 60 | 76 | 74 | 0 | 73 | 79 | 30 | 4,250,000$/4yrs | |||
Cody Ceci | 0 | D | 100.00 | 68 | 33 | 91 | 58 | 83 | 90 | 90 | 63 | 30 | 66 | 57 | 76 | 60 | 78 | 77 | 0 | 80 | 78 | 32 | 3,750,000$/1yrs | |||
Oliver Ekman-Larsson | 0 | D | 100.00 | 72 | 33 | 72 | 61 | 80 | 89 | 89 | 60 | 30 | 69 | 60 | 66 | 60 | 82 | 90 | 0 | 80 | 78 | 34 | 4,500,000$/2yrs | |||
Samuel Girard | 0 | D | 100.00 | 68 | 32 | 93 | 63 | 65 | 90 | 85 | 61 | 30 | 67 | 56 | 74 | 59 | 70 | 69 | 0 | 80 | 77 | 27 | 5,000,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Valeri Nichushkin | 0 | LW/RW | 87.85 | 72 | 34 | 89 | 79 | 85 | 90 | 80 | 77 | 59 | 72 | 86 | 71 | 81 | 76 | 75 | 0 | 68 | 87 | 30 | 6,125,000$/5yrs | |||
Juho Lammikko | 0 | RW | 100.00 | 71 | 33 | 93 | 65 | 77 | 76 | 60 | 64 | 81 | 57 | 57 | 70 | 65 | 71 | 70 | 0 | 20 | 73 | 29 | 800,000$/2yrs | |||
Klim Kostin | 0 | C | 100.00 | 84 | 45 | 69 | 59 | 86 | 74 | 79 | 58 | 59 | 60 | 61 | 58 | 59 | 68 | 65 | 0 | 20 | 71 | 26 | 1,300,000$/1yrs | |||
Zac Jones | 0 | D | 100.00 | 63 | 32 | 85 | 60 | 68 | 83 | 77 | 56 | 30 | 64 | 56 | 59 | 56 | 65 | 64 | 0 | 64 | 72 | 25 | 950,000$/2yrs | |||
| TEAM AVERAGE | 99.27 | 70 | 36 | 84 | 65 | 77 | 84 | 83 | 66 | 55 | 67 | 65 | 71 | 66 | 76 | 75 | 0 | 68 | 78 | |||||||
| 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 | 81 | 88 | 30 | 5,000,000$/1yrs |
Devon Levi | 0 | 99.00 | 66 | 71 | 70 | 74 | 74 | 67 | 77 | 85 | 78 | 83 | 77 | 64 | 68 | 0 | 84 | 79 | 24 | 1,100,000$/2yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.50 | 75 | 79 | 74 | 77 | 81 | 73 | 83 | 88 | 83 | 87 | 83 | 70 | 74 | 0 | 83 | 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 |
|---|
| 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 | 39 | 13 | 37 | 50 | 23 | 14 | 0 | 64 | 146 | 49 | 118 | 8.90% | 11 | 21.57 | 5 | 11 | 16 | 143 | 0 | 0 | 0 | 78 | 4 | 0 | 56.52% | 1173 | 0 | 0 | 0 | 0 | 1.19 | 0 | 1 | |
| 2 | Valeri Nichushkin | 0 | LW/RW | 38 | 18 | 21 | 39 | 23 | 22 | 0 | 73 | 191 | 56 | 135 | 9.42% | 15 | 23.25 | 3 | 4 | 7 | 140 | 1 | 2 | 3 | 151 | 4 | 1 | 42.16% | 370 | 0 | 0 | 2 | 0 | 0.88 | 1 | 1 | |
| 3 | Alex DeBrincat | 0 | C/LW/RW | 39 | 15 | 15 | 30 | 20 | 25 | 5 | 22 | 141 | 36 | 101 | 10.64% | 8 | 21.24 | 3 | 4 | 7 | 141 | 0 | 0 | 0 | 82 | 3 | 1 | 49.02% | 102 | 0 | 0 | 0 | 0 | 0.72 | 1 | 1 | |
| 4 | Zach Hyman | 0 | LW/RW | 39 | 13 | 17 | 30 | 14 | 2 | 0 | 39 | 130 | 36 | 113 | 10.00% | 13 | 21.15 | 6 | 5 | 11 | 124 | 2 | 0 | 2 | 174 | 1 | 1 | 49.41% | 85 | 0 | 0 | 0 | 0 | 0.73 | 0 | 1 | |
| 5 | Brayden Schenn | 0 | C/LW/RW | 39 | 11 | 18 | 29 | 11 | 42 | 0 | 113 | 127 | 37 | 79 | 8.66% | 6 | 16.70 | 1 | 8 | 9 | 124 | 0 | 0 | 0 | 7 | 4 | 1 | 55.22% | 67 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | |
| 6 | Jonas Brodin | 0 | D | 39 | 10 | 19 | 29 | 19 | 23 | 5 | 34 | 87 | 26 | 52 | 11.49% | 73 | 26.39 | 4 | 5 | 9 | 145 | 0 | 2 | 2 | 141 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 7 | Samuel Girard | 0 | D | 39 | 9 | 17 | 26 | 12 | 20 | 0 | 43 | 47 | 13 | 26 | 19.15% | 47 | 20.46 | 4 | 8 | 12 | 117 | 0 | 0 | 0 | 114 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
| 8 | Cody Ceci | 0 | D | 39 | 4 | 16 | 20 | 12 | 40 | 0 | 63 | 50 | 8 | 31 | 8.00% | 62 | 22.33 | 3 | 6 | 9 | 117 | 0 | 1 | 1 | 114 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
| 9 | Tomas Hertl | 0 | C/LW | 39 | 7 | 12 | 19 | 2 | 12 | 0 | 27 | 96 | 29 | 75 | 7.29% | 6 | 10.59 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 51.57% | 479 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
| 10 | Adam Pelech | 0 | D | 39 | 2 | 14 | 16 | -11 | 28 | 0 | 59 | 41 | 19 | 41 | 4.88% | 56 | 23.70 | 2 | 1 | 3 | 86 | 0 | 1 | 1 | 132 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 11 | Lawson Crouse | 0 | LW/RW | 39 | 8 | 6 | 14 | 2 | 14 | 0 | 70 | 67 | 13 | 35 | 11.94% | 3 | 10.76 | 0 | 1 | 1 | 26 | 0 | 0 | 0 | 0 | 1 | 0 | 44.26% | 61 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
| 12 | Oliver Ekman-Larsson | 0 | D | 39 | 3 | 11 | 14 | 19 | 56 | 0 | 83 | 34 | 13 | 17 | 8.82% | 32 | 19.46 | 0 | 2 | 2 | 148 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 13 | Sam Steel | 0 | C/LW | 31 | 5 | 7 | 12 | 5 | 4 | 0 | 26 | 54 | 17 | 22 | 9.26% | 5 | 15.03 | 1 | 2 | 3 | 53 | 0 | 1 | 1 | 48 | 0 | 0 | 49.00% | 498 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 14 | Matt Roy | 0 | D | 39 | 1 | 10 | 11 | 5 | 33 | 5 | 83 | 16 | 6 | 10 | 6.25% | 47 | 15.62 | 0 | 0 | 0 | 5 | 0 | 1 | 1 | 105 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
| 15 | Calle Jarnkrok | 0 | C/LW/RW | 39 | 2 | 8 | 10 | 1 | 2 | 0 | 13 | 34 | 11 | 30 | 5.88% | 3 | 9.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 28.57% | 21 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 16 | Alexander Kerfoot | 0 | C/LW | 39 | 4 | 2 | 6 | -5 | 6 | 0 | 24 | 61 | 14 | 25 | 6.56% | 2 | 8.80 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 45 | 2 | 0 | 49.13% | 401 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 17 | Sheldon Rempal | 27 | RW | 39 | 3 | 2 | 5 | -2 | 11 | 5 | 23 | 30 | 8 | 18 | 10.00% | 2 | 7.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | |
| 18 | Zac Jones | 0 | D | 29 | 0 | 5 | 5 | 4 | 10 | 0 | 21 | 6 | 1 | 0 | 0.00% | 22 | 14.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
| 19 | Chris Terry | 0 | LW/RW | 14 | 1 | 2 | 3 | 1 | 4 | 0 | 8 | 12 | 3 | 12 | 8.33% | 0 | 7.62 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 8 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
| 20 | Cameron Hughes | 53 | C/LW | 8 | 0 | 3 | 3 | 4 | 2 | 0 | 4 | 6 | 2 | 3 | 0.00% | 0 | 8.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.12% | 83 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
| Team Total or Average | 705 | 129 | 242 | 371 | 159 | 370 | 20 | 892 | 1376 | 397 | 943 | 9.38% | 413 | 16.89 | 32 | 57 | 89 | 1381 | 3 | 8 | 11 | 1236 | 30 | 6 | 50.66% | 3358 | 0 | 0 | 2 | 0 | 0.62 | 2 | 4 |
| 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 | 22 | 17 | 5 | 0 | 0.917 | 2.73 | 1276 | 2 | 2 | 58 | 696 | 0 | 0 | 0 | 0.000 | 0 | 22 | 17 | 4 | 2 | 0 | |
| 2 | Devon Levi | 18 | 12 | 5 | 0 | 0.935 | 2.03 | 1066 | 2 | 2 | 36 | 556 | 0 | 0 | 1 | 0.750 | 4 | 17 | 22 | 4 | 1 | 0 | |
| Team Total or Average | 40 | 29 | 10 | 0 | 0.925 | 2.41 | 2342 | 4 | 4 | 94 | 1252 | 0 | 0 | 1 | 0.750 | 4 | 39 | 39 | 8 | 3 | 0 |
| Projected Total Cap Hit | 90,429,311$ |
| Projected Cap Space | 5,070,689$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 40,215,518$ |
| Players In Salary Cap | 23 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 31 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | UFA | |||
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 | 28 | 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 | ||||||
Cameron Hughes | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Chris Terry | LW/RW | 36 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cody Ceci ![]() | D | 32 | 3,750,000$ | 3,750,000$ | UFA | ||||||
Devon Levi | G | 24 | 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 | |||
Oliver Ekman-Larsson ![]() | D | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Sam Steel ![]() | C/LW | 27 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 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 | 30 | 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 | |||||
Charles-Alexis Legault | D | 22 | 915,833$ | 915,833$ | 915,833$ | RFA | |||||
Chase de Leo | C | 30 | 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 | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Wyatt Aamodt | D | 28 | 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 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 2 | 8 | 1 | 0 | 70 | 35 | 23 | 12 | 0 | 70 | 17 | 30 | 45 | 5 | 0 | 0.00% | 12 | 2 | 83.33% | 1 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 48 | 33 | 45 | 14 | 25 | 13 | 84.6% | 15.7% | 94.3% | 110.0 | 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 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 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 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 23 | 16 | 23 | 7 | 13 | 6 | nan% | 7.4% | 100.0% | 107.4 | DULL | |
| 4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 0 | 1 | 33 | 10 | 13 | 9 | 1 | 34 | 20 | 14 | 24 | 0 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 21 | 14 | 25 | 7 | 13 | 6 | 57.1% | 12.1% | 91.2% | 103.3 | LUCKY | |
| 5 | 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 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 25 | 17 | 21 | 7 | 12 | 6 | 42.9% | 14.3% | 88.2% | 102.5 | FUN | |
| 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.500 | 10 | 18 | 28 | 1 | 0 | 2 | 4 | 4 | 0 | 74 | 21 | 29 | 24 | 0 | 79 | 21 | 15 | 38 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 46 | 33 | 49 | 14 | 24 | 11 | 50.0% | 13.5% | 88.6% | 102.1 | FUN | |
| 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 80 | 23 | 30 | 27 | 0 | 48 | 11 | 22 | 33 | 14 | 3 | 21.43% | 11 | 1 | 90.91% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 51 | 35 | 44 | 15 | 24 | 12 | 50.0% | 7.5% | 91.7% | 99.2 | DULL | |
| 8 | 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 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 25 | 18 | 21 | 7 | 12 | 6 | 71.4% | 11.6% | 89.7% | 101.3 | FUN | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 4 | 3 | 3 | 0 | 71 | 25 | 29 | 17 | 0 | 70 | 22 | 22 | 50 | 7 | 2 | 28.57% | 9 | 2 | 77.78% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 46 | 33 | 47 | 14 | 26 | 14 | 66.7% | 14.1% | 91.4% | 105.5 | LUCKY | |
| 10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 3 | 1 | 2 | 0 | 83 | 24 | 29 | 30 | 0 | 49 | 6 | 10 | 35 | 11 | 3 | 27.27% | 5 | 0 | 100.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 56 | 40 | 37 | 14 | 25 | 13 | 60.0% | 7.2% | 95.9% | 103.1 | DULL | |
| 11 | 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 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 20 | 13 | 27 | 8 | 11 | 5 | 100.0% | 8.3% | 97.1% | 105.4 | DULL | |
| 12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 6 | 1 | 2 | 0 | 76 | 26 | 29 | 21 | 0 | 76 | 31 | 21 | 47 | 8 | 1 | 12.50% | 8 | 0 | 100.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 48 | 33 | 47 | 14 | 24 | 12 | 80.0% | 11.8% | 97.4% | 109.2 | LUCKY | |
| 13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 8 | 14 | 0 | 1 | 4 | 1 | 1 | 0 | 71 | 35 | 20 | 16 | 0 | 50 | 12 | 10 | 30 | 11 | 1 | 9.09% | 5 | 0 | 100.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 52 | 38 | 43 | 13 | 24 | 12 | 71.4% | 8.5% | 96.0% | 104.5 | DULL | |
| 14 | 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 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 21 | 14 | 25 | 7 | 12 | 5 | 50.0% | 8.8% | 95.5% | 104.3 | DULL | |
| 15 | 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 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 26 | 17 | 20 | 7 | 12 | 6 | 83.3% | 17.1% | 93.5% | 110.7 | LUCKY | |
| 16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 7 | 7 | 8 | 0 | 32 | 5 | 10 | 24 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 25 | 17 | 21 | 6 | 12 | 6 | 50.0% | 4.5% | 93.8% | 98.3 | DULL | |
| 17 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 3 | 2 | 1 | 0 | 36 | 14 | 11 | 11 | 0 | 37 | 17 | 8 | 21 | 5 | 4 | 80.00% | 4 | 2 | 50.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 24 | 18 | 24 | 7 | 11 | 5 | 66.7% | 16.7% | 91.9% | 108.6 | LUCKY | |
| 18 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 44 | 12 | 14 | 18 | 0 | 26 | 8 | 10 | 16 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 25 | 18 | 22 | 8 | 12 | 6 | 100.0% | 6.8% | 96.2% | 103.0 | DULL | |
| 19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 5 | 2 | 1 | 0 | 65 | 31 | 16 | 18 | 0 | 60 | 18 | 19 | 48 | 9 | 2 | 22.22% | 7 | 3 | 57.14% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 43 | 30 | 50 | 15 | 25 | 12 | 54.5% | 12.3% | 86.7% | 99.0 | FUN | |
| 20 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.333 | 9 | 15 | 24 | 0 | 0 | 6 | 1 | 2 | 0 | 111 | 41 | 34 | 36 | 0 | 102 | 28 | 28 | 65 | 8 | 2 | 25.00% | 12 | 3 | 75.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 74 | 51 | 66 | 22 | 38 | 20 | 50.0% | 8.1% | 90.2% | 98.3 | Unlucky | |
| 21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 30 | 7 | 8 | 15 | 0 | 32 | 8 | 6 | 26 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 21 | 14 | 26 | 8 | 11 | 5 | 40.0% | 6.7% | 90.6% | 97.3 | Unlucky | |
| 22 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 3 | 1 | 0 | 68 | 22 | 19 | 27 | 0 | 60 | 18 | 24 | 44 | 13 | 3 | 23.08% | 12 | 4 | 66.67% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 49 | 33 | 43 | 15 | 26 | 14 | 50.0% | 8.8% | 88.3% | 97.2 | Unlucky | |
| 23 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 2 | 2 | 78 | 21 | 27 | 28 | 6 | 90 | 35 | 16 | 38 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 49 | 35 | 50 | 13 | 25 | 12 | 61.5% | 10.3% | 94.4% | 104.7 | LUCKY | |
| 24 | 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 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 47 | 33 | 49 | 13 | 22 | 11 | 66.7% | 3.9% | 97.0% | 100.9 | DULL | |
| 25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 45 | 11 | 19 | 15 | 0 | 21 | 11 | 6 | 25 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 28 | 20 | 18 | 6 | 13 | 6 | 66.7% | 11.1% | 85.7% | 96.8 | FUN | |
| 26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 41 | 15 | 14 | 12 | 0 | 27 | 12 | 4 | 23 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 28 | 20 | 20 | 7 | 11 | 5 | 25.0% | 2.4% | 85.2% | 87.6 | Unlucky | |
| _Vs Division | 12 | 9 | 3 | 0 | 0 | 0 | 0 | 0 | 42 | 28 | 14 | 18 | 0.750 | 42 | 73 | 115 | 0 | 0 | 22 | 9 | 11 | 0 | 448 | 143 | 149 | 156 | 0 | 387 | 116 | 121 | 260 | 60 | 12 | 20.00% | 56 | 10 | 82.14% | 1 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 297 | 204 | 270 | 90 | 152 | 79 | 62.5% | 9.4% | 92.8% | 102.1 | LUCKY | |
| _Vs Conference | 24 | 18 | 6 | 0 | 0 | 0 | 0 | 0 | 78 | 49 | 29 | 36 | 0.750 | 78 | 137 | 215 | 0 | 3 | 35 | 24 | 19 | 0 | 889 | 310 | 292 | 287 | 0 | 736 | 210 | 226 | 527 | 111 | 19 | 17.12% | 103 | 16 | 84.47% | 2 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 601 | 419 | 540 | 176 | 298 | 153 | 64.1% | 8.8% | 93.3% | 102.1 | DULL | |
| _Since Last GM Reset | 39 | 27 | 10 | 0 | 1 | 0 | 1 | 0 | 138 | 95 | 43 | 58 | 0.744 | 138 | 246 | 384 | 1 | 4 | 57 | 42 | 37 | 3 | 1406 | 483 | 479 | 441 | 7 | 1253 | 369 | 356 | 849 | 162 | 33 | 20.37% | 159 | 26 | 83.65% | 3 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 959 | 671 | 896 | 285 | 489 | 248 | 60.3% | 9.8% | 92.4% | 102.2 | LUCKY | |
| Total | 39 | 27 | 10 | 0 | 1 | 0 | 1 | 0 | 138 | 95 | 43 | 58 | 0.744 | 138 | 246 | 384 | 1 | 4 | 57 | 42 | 37 | 3 | 1406 | 483 | 479 | 441 | 7 | 1253 | 369 | 356 | 849 | 162 | 33 | 20.37% | 159 | 26 | 83.65% | 3 | 782 | 1549 | 50.48% | 724 | 1413 | 51.24% | 345 | 616 | 56.01% | 959 | 671 | 896 | 285 | 489 | 248 | 60.3% | 9.8% | 92.4% | 102.2 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1549 |
| Neutral Zone Start | 616 |
| Defensive Zone Start | 1413 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1851 |
| Faceoffs Lost | 1727 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.4 | 9.57 |
| 2nd Period | 24.7 | 20.31 |
| 3rd Period | 36.0 | 30.68 |
| Overtime | 36.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.5 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 3.5 | 2.67 |
| Overtime | 3.6 | 2.83 |
| Even Strenght Goal | 101 |
|---|---|
| PP Goal | 33 |
| PK Goal | 3 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 16 | 13 |
| Lost | 6 | 4 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 162 |
|---|---|
| PP Goal | 33 |
| PK Attempt | 159 |
| PK Goal Against | 26 |
| Home | |
|---|---|
| Shots For | 36.1 |
| Shots Against | 32.1 |
| Goals For | 3.5 |
| Goals Against | 2.4 |
| Hits | 21.8 |
| Shots Blocked | 9.5 |
| Pim | 9.1 |
| 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 | |||||||||||
| 2025-11-12 | @ | Sharks2,Wild1 | RECAP | |||||||||||
| 2025-11-16 | @ | Ducks3,Wild2 | RECAP | |||||||||||
| 2025-11-17 | @ | Golden Knights3,Wild5 | RECAP | |||||||||||
| 2025-11-20 | @ | Hurricanes4,Wild2 | RECAP | |||||||||||
| 2025-11-22 | @ | Wild3,Penguins2 (SO) | RECAP | |||||||||||
| 2025-11-24 | @ | Wild2,Jets3 | RECAP | |||||||||||
| 2025-11-27 | @ | Wild3,Blackhawks1 | RECAP | |||||||||||
| 2025-11-29 | @ | Avalanche3,Wild4 | RECAP | |||||||||||
| 2025-11-30 | @ | Sabres3,Wild6 | RECAP | |||||||||||
| 2025-12-03 | @ | Wild1,Oilers0 | RECAP | |||||||||||
| 2025-12-05 | @ | Wild4,Flames3 | RECAP | |||||||||||
| 2025-12-07 | @ | Wild4,Canucks2 | RECAP | |||||||||||
| 2025-12-09 | @ | Wild1,Kraken4 | RECAP | |||||||||||
| 2025-12-12 | @ | Stars4,Wild2 | RECAP | |||||||||||
| 2025-12-14 | @ | Senators3,Wild4 (OT) | RECAP | |||||||||||
| 2025-12-15 | @ | Bruins2,Wild1 | RECAP | |||||||||||
| 2025-12-17 | @ | Capitals3,Wild4 | RECAP | |||||||||||
| 2025-12-19 | @ | Wild4,Blue Jackets6 | RECAP | |||||||||||
| 2025-12-21 | @ | Oilers2,Wild5 | RECAP | |||||||||||
| 2025-12-22 | @ | Avalanche1,Wild2 | RECAP | |||||||||||
| 2025-12-24 | @ | Predators1,Wild6 | RECAP | |||||||||||
| 2025-12-28 | @ | Wild3,Jets1 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 88,450,000$ | 0$ | 90,429,311$ | 7,050,000$ |
| 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 | 126641 | 104920 | 42213 | 84559 | 21355 |
| Attendance PCT | 95.94% | 95.38% | 95.94% | 96.09% | 97.07% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 19 | 17259 - 95.88% | 1,584,920$ | 34,868,248$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 88,450,000$ | 88,450,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 40,647,788$ | 460,677$ | 40,215,518$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 30,113,487$ | 109 | 465,885$ | 50,781,465$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 52,042,659$ | 88,450,000$ | 80,273,367$ | 58,344,195$ |
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 |
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| 2026 | ||||||||
| 2027 | ||||||||
| 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 |
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