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Full Scoreboard »» |
| Minnesota Wild 31-13-0, 62pts · 2nd 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 | 99.00 | 72 | 34 | 91 | 79 | 86 | 88 | 79 | 78 | 89 | 87 | 74 | 77 | 76 | 77 | 89 | 0 | 70 | 89 | 30 | 10,000,000$/5yrs | |||
Tomas Hertl | 0 | C/LW | 100.00 | 72 | 36 | 86 | 74 | 86 | 83 | 88 | 74 | 88 | 72 | 82 | 63 | 78 | 80 | 78 | 0 | 82 | 85 | 32 | 7,750,000$/5yrs | |||
Alex DeBrincat | 0 | C/LW/RW | 99.00 | 60 | 34 | 88 | 78 | 65 | 84 | 90 | 76 | 60 | 73 | 85 | 57 | 80 | 72 | 71 | 0 | 80 | 84 | 28 | 8,000,000$/5yrs | |||
Zach Hyman | 0 | LW/RW | 100.00 | 67 | 33 | 84 | 69 | 82 | 86 | 85 | 72 | 58 | 68 | 80 | 53 | 76 | 82 | 80 | 0 | 79 | 81 | 33 | 6,000,000$/3yrs | |||
Brayden Schenn | 0 | C/LW/RW | 100.00 | 82 | 49 | 76 | 66 | 78 | 83 | 90 | 66 | 85 | 69 | 69 | 63 | 67 | 83 | 89 | 0 | 79 | 79 | 34 | 6,500,000$/3yrs | |||
Chris Terry | 0 | LW/RW | 100.00 | 69 | 39 | 76 | 58 | 72 | 73 | 88 | 71 | 38 | 67 | 58 | 74 | 63 | 82 | 80 | 0 | 77 | 76 | 36 | 800,000$/2yrs | |||
Alexander Kerfoot | 0 | C/LW | 100.00 | 64 | 32 | 94 | 59 | 72 | 80 | 83 | 58 | 79 | 63 | 64 | 77 | 61 | 78 | 77 | 0 | 79 | 75 | 31 | 3,500,000$/1yrs | |||
Lawson Crouse | 0 | LW/RW | 100.00 | 84 | 40 | 85 | 63 | 87 | 79 | 90 | 58 | 71 | 58 | 66 | 72 | 62 | 73 | 71 | 0 | 79 | 75 | 28 | 4,300,000$/3yrs | |||
Calle Jarnkrok | 0 | C/LW/RW | 100.00 | 64 | 32 | 93 | 56 | 75 | 75 | 74 | 60 | 60 | 61 | 62 | 65 | 61 | 83 | 82 | 0 | 79 | 73 | 34 | 2,100,000$/1yrs | |||
Sam Steel | 0 | C/LW | 100.00 | 66 | 34 | 85 | 61 | 71 | 79 | 90 | 60 | 78 | 64 | 61 | 69 | 61 | 72 | 70 | 0 | 12 | 73 | 27 | 2,100,000$/3yrs | |||
Cameron Hughes | 53 | C/LW | 100.00 | 71 | 39 | 73 | 61 | 71 | 70 | 89 | 64 | 71 | 65 | 59 | 67 | 62 | 70 | 67 | 0 | 74 | 73 | 29 | 800,000$/2yrs | |||
Sheldon Rempal | 27 | RW | 100.00 | 65 | 37 | 81 | 59 | 63 | 71 | 87 | 65 | 50 | 59 | 65 | 67 | 62 | 72 | 70 | 0 | 80 | 73 | 30 | 800,000$/1yrs | |||
Jonas Brodin | 0 | D | 99.00 | 59 | 33 | 89 | 61 | 78 | 92 | 83 | 63 | 30 | 68 | 60 | 76 | 61 | 80 | 79 | 0 | 79 | 79 | 32 | 5,500,000$/1yrs | |||
Oliver Ekman-Larsson | 0 | D | 100.00 | 73 | 33 | 76 | 63 | 80 | 89 | 89 | 59 | 30 | 71 | 60 | 63 | 60 | 83 | 92 | 0 | 79 | 78 | 34 | 4,500,000$/2yrs | |||
Adam Pelech | 0 | D | 100.00 | 68 | 33 | 82 | 60 | 84 | 89 | 86 | 61 | 30 | 66 | 53 | 76 | 57 | 78 | 76 | 0 | 40 | 77 | 31 | 5,750,000$/4yrs | |||
Matt Roy | 0 | D | 100.00 | 74 | 35 | 90 | 59 | 80 | 88 | 88 | 60 | 30 | 67 | 55 | 74 | 58 | 77 | 76 | 0 | 73 | 77 | 30 | 4,250,000$/4yrs | |||
Samuel Girard | 0 | D | 100.00 | 65 | 32 | 94 | 65 | 65 | 88 | 85 | 59 | 30 | 68 | 58 | 68 | 59 | 71 | 71 | 0 | 79 | 77 | 27 | 5,000,000$/3yrs | |||
Cody Ceci | 0 | D | 100.00 | 65 | 33 | 90 | 57 | 83 | 88 | 90 | 60 | 30 | 64 | 56 | 75 | 58 | 79 | 78 | 0 | 79 | 76 | 32 | 3,750,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Valeri Nichushkin | 0 | LW/RW | 96.85 | 69 | 34 | 92 | 76 | 85 | 86 | 80 | 72 | 61 | 72 | 80 | 66 | 76 | 77 | 76 | 0 | 68 | 84 | 30 | 6,125,000$/5yrs | |||
Klim Kostin | 0 | C | 100.00 | 90 | 41 | 74 | 55 | 86 | 73 | 72 | 52 | 58 | 62 | 54 | 59 | 53 | 69 | 66 | 0 | 20 | 69 | 26 | 1,300,000$/1yrs | |||
Juho Lammikko | 0 | RW | 100.00 | 74 | 33 | 92 | 55 | 77 | 72 | 69 | 52 | 77 | 58 | 50 | 63 | 51 | 75 | 74 | 0 | 20 | 68 | 29 | 800,000$/2yrs | |||
Zac Jones | 0 | D | 100.00 | 63 | 32 | 82 | 59 | 68 | 83 | 75 | 54 | 30 | 64 | 54 | 58 | 54 | 67 | 65 | 0 | 59 | 71 | 25 | 950,000$/2yrs | |||
| TEAM AVERAGE | 99.68 | 70 | 35 | 85 | 63 | 77 | 82 | 84 | 63 | 56 | 67 | 64 | 67 | 63 | 76 | 76 | 0 | 67 | 77 | |||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joey Daccord | 0 | 97.00 | 86 | 95 | 82 | 80 | 89 | 77 | 90 | 92 | 88 | 93 | 90 | 75 | 79 | 0 | 69 | 90 | 29 | 1,200,000$/1yrs |
Thatcher Demko | 0 | 100.00 | 78 | 79 | 74 | 80 | 80 | 74 | 81 | 85 | 82 | 83 | 81 | 75 | 80 | 0 | 80 | 84 | 30 | 5,000,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 98.50 | 82 | 87 | 78 | 80 | 85 | 76 | 86 | 89 | 85 | 88 | 86 | 75 | 80 | 0 | 75 | 87 | |||
| 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 | 44 | 18 | 39 | 57 | 22 | 16 | 0 | 73 | 182 | 54 | 135 | 9.89% | 15 | 21.65 | 6 | 12 | 18 | 161 | 0 | 0 | 0 | 89 | 4 | 1 | 55.93% | 1348 | 0 | 0 | 0 | 1 | 1.20 | 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 | Zach Hyman | 0 | LW/RW | 44 | 14 | 21 | 35 | 13 | 4 | 0 | 41 | 143 | 38 | 127 | 9.79% | 14 | 21.21 | 6 | 6 | 12 | 145 | 2 | 1 | 3 | 195 | 1 | 1 | 48.96% | 96 | 0 | 0 | 0 | 0 | 0.75 | 0 | 1 | |
| 4 | Jonas Brodin | 0 | D | 44 | 10 | 24 | 34 | 18 | 30 | 10 | 40 | 91 | 27 | 57 | 10.99% | 82 | 26.32 | 4 | 6 | 10 | 165 | 0 | 3 | 3 | 158 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | |
| 5 | Alex DeBrincat | 0 | C/LW/RW | 44 | 16 | 16 | 32 | 19 | 30 | 10 | 25 | 166 | 40 | 113 | 9.64% | 8 | 21.22 | 4 | 4 | 8 | 160 | 0 | 0 | 0 | 91 | 3 | 1 | 49.07% | 108 | 0 | 0 | 0 | 0 | 0.69 | 1 | 1 | |
| 6 | Brayden Schenn | 0 | C/LW/RW | 44 | 14 | 18 | 32 | 10 | 48 | 0 | 129 | 139 | 40 | 88 | 10.07% | 9 | 17.14 | 1 | 8 | 9 | 145 | 1 | 0 | 1 | 24 | 4 | 1 | 55.14% | 107 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
| 7 | Samuel Girard | 0 | D | 44 | 10 | 19 | 29 | 10 | 22 | 0 | 46 | 53 | 15 | 30 | 18.87% | 53 | 20.53 | 4 | 8 | 12 | 137 | 0 | 0 | 0 | 126 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
| 8 | Cody Ceci | 0 | D | 44 | 5 | 18 | 23 | 12 | 40 | 0 | 67 | 57 | 9 | 36 | 8.77% | 68 | 22.03 | 4 | 6 | 10 | 136 | 0 | 1 | 1 | 130 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
| 9 | Tomas Hertl | 0 | C/LW | 44 | 7 | 15 | 22 | 1 | 12 | 0 | 32 | 110 | 33 | 89 | 6.36% | 7 | 10.83 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 52.29% | 568 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
| 10 | Adam Pelech | 0 | D | 44 | 2 | 15 | 17 | -12 | 35 | 5 | 67 | 44 | 19 | 43 | 4.55% | 62 | 23.37 | 2 | 1 | 3 | 86 | 0 | 1 | 1 | 147 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 11 | Oliver Ekman-Larsson | 0 | D | 44 | 3 | 13 | 16 | 18 | 62 | 0 | 92 | 40 | 13 | 22 | 7.50% | 36 | 19.46 | 0 | 3 | 3 | 168 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 12 | Lawson Crouse | 0 | LW/RW | 44 | 8 | 7 | 15 | 2 | 22 | 0 | 78 | 74 | 15 | 44 | 10.81% | 3 | 11.07 | 0 | 2 | 2 | 48 | 0 | 0 | 0 | 0 | 1 | 0 | 45.36% | 97 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
| 13 | Sam Steel | 0 | C/LW | 36 | 6 | 8 | 14 | 4 | 6 | 0 | 30 | 58 | 20 | 23 | 10.34% | 5 | 15.06 | 1 | 2 | 3 | 53 | 0 | 1 | 1 | 48 | 1 | 0 | 48.62% | 508 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 14 | Calle Jarnkrok | 0 | C/LW/RW | 44 | 3 | 9 | 12 | 2 | 2 | 0 | 15 | 38 | 11 | 33 | 7.89% | 3 | 9.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 33.33% | 27 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 15 | Matt Roy | 0 | D | 44 | 1 | 10 | 11 | 6 | 41 | 5 | 88 | 19 | 7 | 12 | 5.26% | 49 | 15.34 | 0 | 0 | 0 | 6 | 0 | 1 | 1 | 108 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 16 | Alexander Kerfoot | 0 | C/LW | 44 | 5 | 4 | 9 | -4 | 6 | 0 | 28 | 64 | 14 | 31 | 7.81% | 2 | 9.35 | 0 | 1 | 1 | 20 | 0 | 0 | 0 | 51 | 2 | 0 | 48.46% | 456 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 17 | Sheldon Rempal | 27 | RW | 44 | 3 | 2 | 5 | -3 | 15 | 5 | 24 | 34 | 10 | 24 | 8.82% | 2 | 7.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.31 | 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 | 19 | 1 | 2 | 3 | 0 | 8 | 0 | 11 | 18 | 4 | 16 | 5.56% | 0 | 7.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 18.18% | 11 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 20 | Cameron Hughes | 53 | C/LW | 13 | 0 | 3 | 3 | 3 | 2 | 0 | 7 | 13 | 6 | 8 | 0.00% | 1 | 7.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34.59% | 133 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| Team Total or Average | 795 | 144 | 269 | 413 | 148 | 433 | 35 | 987 | 1540 | 432 | 1066 | 9.35% | 456 | 16.81 | 35 | 63 | 98 | 1581 | 4 | 10 | 14 | 1366 | 32 | 7 | 50.52% | 3840 | 0 | 0 | 2 | 1 | 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 | Joey Daccord | 38 | 25 | 11 | 2 | 0.904 | 2.78 | 2200 | 2 | 2 | 102 | 1067 | 0 | 1 | 0 | 1.000 | 3 | 38 | 4 | 0 | 1 | 3 | |
| 2 | Thatcher Demko | 22 | 17 | 5 | 0 | 0.917 | 2.73 | 1276 | 2 | 2 | 58 | 696 | 0 | 0 | 0 | 0.000 | 0 | 22 | 22 | 4 | 2 | 0 | |
| Team Total or Average | 60 | 42 | 16 | 2 | 0.909 | 2.76 | 3477 | 4 | 4 | 160 | 1763 | 0 | 1 | 0 | 1.000 | 3 | 60 | 26 | 4 | 3 | 3 |
| Projected Total Cap Hit | 93,738,439$ |
| Projected Cap Space | 1,761,561$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 44,428,539$ |
| Players In Salary Cap | 24 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
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 | ||||||
Joey Daccord | G | 29 | 1,200,000$ | 1,200,000$ | UFA | ||||||
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 | ||||||
Noah Chadwick | D | 20 | 0$ | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 56 | 40 | 37 | 14 | 25 | 13 | 60.0% | 7.2% | 95.9% | 103.1 | DULL | |
| 11 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 3 | 4 | 4 | 0 | 103 | 40 | 30 | 33 | 0 | 117 | 32 | 35 | 70 | 13 | 3 | 23.08% | 14 | 3 | 78.57% | 1 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 67 | 46 | 76 | 23 | 36 | 18 | 57.1% | 10.7% | 92.3% | 103.0 | LUCKY | |
| 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 74 | 51 | 66 | 22 | 38 | 20 | 50.0% | 8.1% | 90.2% | 98.3 | Unlucky | |
| 21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 62 | 17 | 20 | 25 | 0 | 60 | 13 | 14 | 43 | 11 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 46 | 32 | 49 | 15 | 24 | 11 | 40.0% | 6.5% | 90.0% | 96.5 | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 49 | 35 | 50 | 13 | 25 | 12 | 61.5% | 10.3% | 94.4% | 104.7 | LUCKY | |
| 24 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 0.667 | 6 | 11 | 17 | 0 | 1 | 1 | 3 | 2 | 0 | 109 | 37 | 31 | 41 | 0 | 98 | 26 | 32 | 69 | 10 | 1 | 10.00% | 16 | 1 | 93.75% | 0 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 68 | 46 | 75 | 22 | 35 | 17 | 71.4% | 5.5% | 96.9% | 102.4 | DULL | |
| 25 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 66 | 21 | 25 | 20 | 0 | 60 | 19 | 33 | 47 | 11 | 2 | 18.18% | 7 | 1 | 85.71% | 0 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 53 | 37 | 41 | 14 | 25 | 12 | 40.0% | 9.1% | 88.3% | 97.4 | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 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 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 297 | 204 | 270 | 90 | 152 | 79 | 62.5% | 9.4% | 92.8% | 102.1 | LUCKY | |
| _Vs Conference | 29 | 20 | 9 | 0 | 0 | 0 | 0 | 0 | 93 | 65 | 28 | 40 | 0.690 | 93 | 164 | 257 | 0 | 3 | 40 | 29 | 24 | 0 | 1053 | 367 | 341 | 345 | 0 | 918 | 253 | 289 | 622 | 136 | 22 | 16.18% | 122 | 18 | 85.25% | 3 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 718 | 500 | 660 | 216 | 361 | 185 | 60.2% | 8.8% | 92.9% | 101.8 | DULL | |
| _Since Last GM Reset | 44 | 29 | 13 | 0 | 1 | 0 | 1 | 0 | 153 | 111 | 42 | 62 | 0.705 | 153 | 273 | 426 | 1 | 4 | 62 | 47 | 42 | 3 | 1570 | 540 | 528 | 499 | 7 | 1435 | 412 | 419 | 944 | 187 | 36 | 19.25% | 178 | 28 | 84.27% | 4 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 1077 | 752 | 1016 | 324 | 551 | 280 | 58.5% | 9.7% | 92.3% | 102.0 | LUCKY | |
| Total | 44 | 29 | 13 | 0 | 1 | 0 | 1 | 0 | 153 | 111 | 42 | 62 | 0.705 | 153 | 273 | 426 | 1 | 4 | 62 | 47 | 42 | 3 | 1570 | 540 | 528 | 499 | 7 | 1435 | 412 | 419 | 944 | 187 | 36 | 19.25% | 178 | 28 | 84.27% | 4 | 868 | 1740 | 49.89% | 830 | 1614 | 51.43% | 392 | 706 | 55.52% | 1077 | 752 | 1016 | 324 | 551 | 280 | 58.5% | 9.7% | 92.3% | 102.0 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1740 |
| Neutral Zone Start | 706 |
| Defensive Zone Start | 1614 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2090 |
| Faceoffs Lost | 1970 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 12.3 | 9.57 |
| 2nd Period | 24.3 | 20.31 |
| 3rd Period | 35.6 | 30.68 |
| Overtime | 35.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.5 | 1.65 |
| 3rd Period | 3.4 | 2.67 |
| Overtime | 3.5 | 2.83 |
| Even Strenght Goal | 112 |
|---|---|
| PP Goal | 36 |
| PK Goal | 4 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 16 | 15 |
| Lost | 6 | 7 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 187 |
|---|---|
| PP Goal | 36 |
| PK Attempt | 178 |
| PK Goal Against | 28 |
| Home | |
|---|---|
| Shots For | 35.7 |
| Shots Against | 32.6 |
| Goals For | 3.5 |
| Goals Against | 2.5 |
| Hits | 21.5 |
| Shots Blocked | 9.4 |
| Pim | 9.5 |
| 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 | |||||||||||
| 2025-12-30 | @ | Wild1,Golden Knights4 | RECAP | |||||||||||
| 2026-01-01 | @ | Wild3,Sharks1 | RECAP | |||||||||||
| 2026-01-03 | @ | Wild2,Ducks3 | RECAP | |||||||||||
| 2026-01-04 | @ | Wild7,Kings4 | RECAP | |||||||||||
| 2026-01-06 | @ | Wild2,Kings4 | RECAP | |||||||||||
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| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,675,000$ | 0$ | 93,738,439$ | 825,000$ |
| 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 |
| 94,675,000$ | 94,675,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 44,907,681$ | 493,099$ | 44,428,539$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 30,113,487$ | 100 | 498,307$ | 49,830,700$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 50,974,876$ | 94,675,000$ | 75,896,456$ | 55,035,067$ |
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 | ||||||||
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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 | |||||
| David Bedkowski | 2025 | 107 | |||
| Gregor Bieber | 2024 | 116 | |||
| Joe Miller | |||||
| Niklas Nordgren | 7C | ||||
| 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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