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Full Scoreboard »» |
| Minnesota Wild 48-28-1, 97pts · 4th 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 | 79 | 89 | 30 | 10,000,000$/5yrs | |||
Tomas Hertl | 0 | C/LW | 100.00 | 72 | 36 | 86 | 74 | 86 | 83 | 88 | 74 | 88 | 72 | 82 | 63 | 78 | 80 | 78 | 0 | 83 | 85 | 32 | 7,750,000$/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 | 83 | 84 | 28 | 8,000,000$/5yrs | |||
Valeri Nichushkin | 0 | LW/RW | 100.00 | 69 | 34 | 92 | 76 | 85 | 86 | 80 | 72 | 61 | 72 | 80 | 66 | 76 | 77 | 76 | 0 | 79 | 84 | 31 | 6,125,000$/5yrs | |||
Zach Hyman | 0 | LW/RW | 100.00 | 67 | 33 | 84 | 69 | 82 | 86 | 85 | 72 | 58 | 68 | 80 | 53 | 76 | 82 | 80 | 0 | 83 | 81 | 33 | 6,000,000$/3yrs | |||
Brayden Schenn | 0 | C/LW/RW | 100.00 | 82 | 49 | 76 | 66 | 78 | 83 | 90 | 66 | 85 | 69 | 69 | 63 | 67 | 83 | 89 | 0 | 87 | 79 | 34 | 6,500,000$/3yrs | |||
Chris Terry | 0 | LW/RW | 100.00 | 69 | 39 | 76 | 58 | 72 | 73 | 88 | 71 | 38 | 67 | 58 | 74 | 63 | 82 | 80 | 0 | 83 | 76 | 36 | 800,000$/2yrs | |||
Alexander Kerfoot | 0 | C/LW | 100.00 | 64 | 32 | 94 | 59 | 72 | 80 | 83 | 58 | 79 | 63 | 64 | 77 | 61 | 78 | 77 | 0 | 83 | 75 | 31 | 3,500,000$/1yrs | |||
Lawson Crouse | 0 | LW/RW | 100.00 | 84 | 40 | 85 | 63 | 87 | 79 | 90 | 58 | 71 | 58 | 66 | 72 | 62 | 73 | 71 | 0 | 85 | 75 | 28 | 4,300,000$/3yrs | |||
Calle Jarnkrok | 0 | C/LW/RW | 100.00 | 64 | 32 | 93 | 56 | 75 | 75 | 74 | 60 | 60 | 61 | 62 | 65 | 61 | 83 | 82 | 0 | 83 | 73 | 34 | 2,100,000$/1yrs | |||
Sheldon Rempal | 27 | RW | 100.00 | 65 | 37 | 81 | 59 | 63 | 71 | 87 | 65 | 50 | 59 | 65 | 67 | 62 | 72 | 70 | 0 | 80 | 73 | 30 | 800,000$/1yrs | |||
Rory Kerins (R) | 0 | C | 100.00 | 62 | 38 | 88 | 65 | 66 | 70 | 87 | 63 | 65 | 63 | 66 | 61 | 65 | 59 | 58 | 0 | 82 | 73 | 23 | 850,000$/3yrs | |||
Jonas Brodin | 0 | D | 99.00 | 59 | 33 | 89 | 61 | 78 | 92 | 83 | 63 | 30 | 68 | 60 | 76 | 61 | 80 | 79 | 0 | 83 | 79 | 32 | 5,500,000$/1yrs | |||
Oliver Ekman-Larsson | 0 | D | 100.00 | 73 | 33 | 76 | 63 | 80 | 89 | 89 | 59 | 30 | 71 | 60 | 63 | 60 | 83 | 92 | 0 | 81 | 78 | 34 | 4,500,000$/2yrs | |||
Adam Pelech | 0 | D | 100.00 | 68 | 33 | 82 | 60 | 84 | 89 | 86 | 61 | 30 | 66 | 53 | 76 | 57 | 78 | 76 | 0 | 39 | 77 | 31 | 5,750,000$/4yrs | |||
Matt Roy | 0 | D | 100.00 | 74 | 35 | 90 | 59 | 80 | 88 | 88 | 60 | 30 | 67 | 55 | 74 | 58 | 77 | 76 | 0 | 80 | 77 | 31 | 4,250,000$/4yrs | |||
Cody Ceci | 0 | D | 100.00 | 65 | 33 | 90 | 57 | 83 | 88 | 90 | 60 | 30 | 64 | 56 | 75 | 58 | 79 | 78 | 0 | 83 | 76 | 32 | 3,750,000$/1yrs | |||
Zac Jones | 0 | D | 100.00 | 63 | 32 | 82 | 59 | 68 | 83 | 75 | 54 | 30 | 64 | 54 | 58 | 54 | 67 | 65 | 0 | 41 | 71 | 25 | 950,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Sam Steel | 0 | C/LW | 100.00 | 66 | 34 | 85 | 61 | 71 | 79 | 90 | 60 | 78 | 64 | 61 | 69 | 61 | 72 | 70 | 0 | 20 | 73 | 28 | 2,100,000$/3yrs | |||
Klim Kostin | 0 | C | 100.00 | 90 | 41 | 74 | 55 | 86 | 73 | 72 | 52 | 58 | 62 | 54 | 59 | 53 | 69 | 66 | 0 | 20 | 69 | 26 | 1,300,000$/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 | 30 | 800,000$/2yrs | |||
Samuel Girard | 0 | D | 92.12 | 65 | 32 | 94 | 65 | 65 | 88 | 85 | 59 | 30 | 68 | 58 | 68 | 59 | 71 | 71 | 0 | 75 | 77 | 27 | 5,000,000$/3yrs | |||
| TEAM AVERAGE | 99.50 | 69 | 35 | 86 | 64 | 77 | 82 | 84 | 63 | 56 | 67 | 64 | 67 | 64 | 76 | 76 | 0 | 70 | 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 | 100.00 | 86 | 95 | 82 | 80 | 89 | 77 | 90 | 92 | 88 | 93 | 90 | 75 | 79 | 0 | 72 | 90 | 29 | 1,200,000$/1yrs |
Thatcher Demko | 0 | 98.00 | 78 | 79 | 74 | 80 | 80 | 74 | 81 | 85 | 82 | 83 | 81 | 75 | 80 | 0 | 84 | 84 | 30 | 5,000,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 99.00 | 82 | 87 | 78 | 80 | 85 | 76 | 86 | 89 | 85 | 88 | 86 | 75 | 80 | 0 | 78 | 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 | 77 | 33 | 60 | 93 | 29 | 35 | 5 | 144 | 310 | 92 | 218 | 10.65% | 25 | 21.86 | 10 | 16 | 26 | 262 | 0 | 0 | 0 | 160 | 5 | 2 | 55.48% | 2363 | 0 | 0 | 0 | 1 | 1.11 | 0 | 1 | |
| 2 | Alex DeBrincat | 0 | C/LW/RW | 77 | 32 | 34 | 66 | 24 | 45 | 15 | 46 | 323 | 77 | 204 | 9.91% | 14 | 21.39 | 8 | 9 | 17 | 260 | 0 | 0 | 0 | 164 | 6 | 1 | 45.00% | 160 | 0 | 0 | 0 | 0 | 0.80 | 1 | 1 | |
| 3 | Valeri Nichushkin | 0 | LW/RW | 67 | 27 | 36 | 63 | 29 | 32 | 0 | 108 | 285 | 91 | 208 | 9.47% | 19 | 21.75 | 5 | 9 | 14 | 222 | 1 | 2 | 3 | 152 | 6 | 1 | 42.68% | 410 | 0 | 0 | 2 | 0 | 0.86 | 1 | 1 | |
| 4 | Brayden Schenn | 0 | C/LW/RW | 77 | 27 | 32 | 59 | 14 | 100 | 20 | 215 | 234 | 54 | 144 | 11.54% | 17 | 18.26 | 5 | 11 | 16 | 234 | 1 | 0 | 1 | 142 | 8 | 2 | 53.65% | 356 | 0 | 0 | 0 | 0 | 0.84 | 0 | 0 | |
| 5 | Zach Hyman | 0 | LW/RW | 77 | 22 | 36 | 58 | 18 | 12 | 0 | 62 | 247 | 66 | 184 | 8.91% | 20 | 20.99 | 8 | 9 | 17 | 234 | 2 | 1 | 3 | 333 | 2 | 2 | 47.56% | 164 | 0 | 0 | 0 | 0 | 0.72 | 0 | 1 | |
| 6 | Jonas Brodin | 0 | D | 77 | 15 | 38 | 53 | 16 | 50 | 10 | 67 | 147 | 48 | 95 | 10.20% | 136 | 26.32 | 6 | 11 | 17 | 266 | 0 | 3 | 3 | 268 | 5 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
| 7 | Samuel Girard | 0 | D | 76 | 12 | 29 | 41 | 8 | 30 | 0 | 67 | 89 | 30 | 59 | 13.48% | 93 | 20.22 | 5 | 11 | 16 | 220 | 0 | 0 | 0 | 217 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
| 8 | Tomas Hertl | 0 | C/LW | 77 | 16 | 24 | 40 | 4 | 23 | 5 | 53 | 224 | 62 | 159 | 7.14% | 13 | 12.00 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 51.78% | 1149 | 0 | 0 | 0 | 0 | 0.87 | 0 | 0 | |
| 9 | Cody Ceci | 0 | D | 77 | 7 | 28 | 35 | 16 | 54 | 0 | 98 | 92 | 18 | 66 | 7.61% | 107 | 20.94 | 4 | 8 | 12 | 223 | 0 | 1 | 1 | 243 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
| 10 | Lawson Crouse | 0 | LW/RW | 77 | 14 | 17 | 31 | 0 | 49 | 15 | 140 | 141 | 40 | 85 | 9.93% | 6 | 11.58 | 0 | 7 | 7 | 136 | 0 | 0 | 0 | 0 | 3 | 1 | 48.65% | 259 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
| 11 | Oliver Ekman-Larsson | 0 | D | 77 | 5 | 25 | 30 | 19 | 125 | 5 | 156 | 77 | 24 | 48 | 6.49% | 76 | 20.37 | 1 | 4 | 5 | 269 | 0 | 0 | 0 | 28 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
| 12 | Adam Pelech | 0 | D | 72 | 3 | 24 | 27 | -16 | 59 | 5 | 138 | 58 | 24 | 57 | 5.17% | 112 | 21.88 | 2 | 1 | 3 | 89 | 0 | 1 | 1 | 234 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
| 13 | Alexander Kerfoot | 0 | C/LW | 77 | 10 | 13 | 23 | -5 | 10 | 0 | 38 | 119 | 27 | 78 | 8.40% | 5 | 10.29 | 1 | 1 | 2 | 40 | 0 | 0 | 0 | 88 | 2 | 0 | 48.82% | 893 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
| 14 | Calle Jarnkrok | 0 | C/LW/RW | 77 | 6 | 17 | 23 | 2 | 6 | 0 | 26 | 69 | 21 | 58 | 8.70% | 9 | 9.61 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 34.88% | 43 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
| 15 | Matt Roy | 0 | D | 77 | 4 | 17 | 21 | 11 | 77 | 5 | 130 | 43 | 10 | 21 | 9.30% | 66 | 14.88 | 0 | 0 | 0 | 12 | 0 | 1 | 1 | 129 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
| 16 | Sam Steel | 0 | C/LW | 59 | 6 | 11 | 17 | 2 | 14 | 0 | 39 | 79 | 22 | 40 | 7.59% | 6 | 12.67 | 1 | 2 | 3 | 53 | 0 | 1 | 1 | 48 | 1 | 0 | 48.41% | 661 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 17 | Chris Terry | 0 | LW/RW | 52 | 5 | 3 | 8 | -7 | 24 | 10 | 30 | 57 | 8 | 41 | 8.77% | 2 | 7.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 15.00% | 20 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| 18 | Sheldon Rempal | 27 | RW | 72 | 4 | 4 | 8 | -7 | 22 | 10 | 37 | 58 | 21 | 43 | 6.90% | 3 | 7.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 22 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 19 | Zac Jones | 0 | D | 35 | 0 | 7 | 7 | 5 | 14 | 0 | 27 | 7 | 1 | 2 | 0.00% | 26 | 14.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
| 20 | Rory Kerins | 0 | C | 10 | 0 | 1 | 1 | -2 | 7 | 5 | 5 | 7 | 7 | 9 | 0.00% | 0 | 8.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49.41% | 85 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
| Team Total or Average | 1367 | 248 | 456 | 704 | 160 | 788 | 110 | 1626 | 2666 | 743 | 1819 | 9.30% | 755 | 16.74 | 56 | 99 | 155 | 2534 | 4 | 10 | 14 | 2246 | 49 | 14 | 51.21% | 6585 | 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 | 61 | 35 | 23 | 3 | 0.900 | 3.00 | 3479 | 4 | 4 | 174 | 1737 | 0 | 2 | 0 | 1.000 | 3 | 61 | 14 | 2 | 1 | 5 | |
| 2 | Thatcher Demko | 35 | 24 | 8 | 0 | 0.915 | 2.68 | 1990 | 2 | 3 | 89 | 1049 | 0 | 1 | 0 | 0.000 | 0 | 32 | 45 | 5 | 3 | 0 | |
| Team Total or Average | 96 | 59 | 31 | 3 | 0.906 | 2.89 | 5470 | 6 | 7 | 263 | 2786 | 0 | 3 | 0 | 1.000 | 3 | 93 | 59 | 7 | 4 | 5 |
| Projected Total Cap Hit | 92,938,680$ |
| Projected Cap Space | 2,561,320$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 88,265,500$ |
| 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 | ||||||
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 | 30 | 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 | 31 | 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 | |||||
Rory Kerins | C | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | |||||
Sam Steel ![]() | C/LW | 28 | 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 | 31 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Anttoni Honka | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Brett Seney | C/LW | 30 | 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 | ||||||
Christoffer Sedoff | D | 24 | 870,000$ | 870,000$ | RFA | ||||||
Curtis McKenzie | LW | 35 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Daniil Chayka | D | 23 | 825,000$ | 825,000$ | RFA | ||||||
Evan Nause | D | 23 | 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 | 27 | 950,000$ | 950,000$ | |||||||
Jake Wise | C | 26 | 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$ | |||||||
Mason Millman | D | 24 | 800,000$ | 800,000$ | RFA | ||||||
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 | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Roman Schmidt | D | 23 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
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 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 9 | 3 | 4 | 0.667 | 12 | 22 | 34 | 0 | 0 | 3 | 8 | 1 | 0 | 98 | 42 | 37 | 19 | 0 | 101 | 26 | 36 | 62 | 8 | 0 | 0.00% | 15 | 2 | 86.67% | 1 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 75 | 52 | 66 | 20 | 38 | 19 | 63.2% | 12.2% | 91.1% | 103.3 | Unlucky | |
| 2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 3 | 1 | 64 | 12 | 23 | 26 | 3 | 58 | 10 | 8 | 45 | 10 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 51 | 34 | 44 | 15 | 28 | 14 | 45.5% | 7.8% | 89.7% | 97.5 | Unlucky | |
| 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 0 | 1 | 1 | 0 | 71 | 22 | 24 | 25 | 0 | 46 | 16 | 12 | 38 | 9 | 2 | 22.22% | 6 | 2 | 66.67% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 50 | 36 | 44 | 14 | 25 | 13 | nan% | 2.8% | 95.7% | 98.5 | DULL | |
| 4 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 0 | 1 | 57 | 19 | 23 | 14 | 1 | 72 | 28 | 23 | 54 | 4 | 1 | 25.00% | 9 | 1 | 88.89% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 46 | 30 | 47 | 14 | 27 | 13 | 36.4% | 8.8% | 88.9% | 97.7 | Unlucky | |
| 5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 3 | 5 | 3 | 0 | 84 | 30 | 37 | 17 | 0 | 56 | 15 | 16 | 46 | 11 | 4 | 36.36% | 7 | 0 | 100.00% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 55 | 38 | 39 | 14 | 25 | 14 | 53.8% | 13.1% | 89.3% | 102.4 | 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 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 46 | 33 | 49 | 14 | 24 | 11 | 50.0% | 13.5% | 88.6% | 102.1 | FUN | |
| 7 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 9 | 2 | 6 | 0.750 | 11 | 20 | 31 | 0 | 0 | 3 | 6 | 1 | 1 | 139 | 43 | 51 | 41 | 4 | 106 | 31 | 36 | 73 | 21 | 5 | 23.81% | 18 | 1 | 94.44% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 101 | 70 | 91 | 29 | 50 | 25 | 42.9% | 7.9% | 91.5% | 99.4 | DULL | |
| 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 1 | 3 | 4 | 0 | 82 | 29 | 26 | 27 | 0 | 70 | 25 | 16 | 45 | 5 | 1 | 20.00% | 6 | 2 | 66.67% | 1 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 51 | 36 | 43 | 14 | 25 | 12 | 50.0% | 9.8% | 87.1% | 96.9 | FUN | |
| 9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 3 | 2 | 3 | 0 | 68 | 28 | 21 | 19 | 0 | 51 | 16 | 14 | 25 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 48 | 35 | 45 | 13 | 26 | 13 | 61.5% | 11.8% | 88.2% | 100.0 | FUN | |
| 10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 3 | 1 | 1 | 0 | 42 | 10 | 13 | 19 | 0 | 55 | 15 | 27 | 28 | 6 | 1 | 16.67% | 11 | 1 | 90.91% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 40 | 26 | 53 | 16 | 25 | 11 | 50.0% | 11.9% | 90.9% | 102.8 | FUN | |
| 11 | 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 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 46 | 33 | 47 | 14 | 26 | 14 | 66.7% | 14.1% | 91.4% | 105.5 | LUCKY | |
| 12 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 6 | 1.000 | 11 | 22 | 33 | 0 | 1 | 3 | 2 | 6 | 0 | 113 | 33 | 36 | 44 | 0 | 70 | 12 | 42 | 57 | 12 | 3 | 25.00% | 14 | 2 | 85.71% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 81 | 57 | 58 | 21 | 40 | 20 | 72.7% | 9.7% | 92.9% | 102.6 | LUCKY | |
| 13 | 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 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 67 | 46 | 76 | 23 | 36 | 18 | 57.1% | 10.7% | 92.3% | 103.0 | LUCKY | |
| 14 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 18 | 29 | 0 | 0 | 7 | 1 | 3 | 0 | 102 | 34 | 40 | 28 | 0 | 114 | 41 | 31 | 68 | 10 | 1 | 10.00% | 13 | 3 | 76.92% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 66 | 45 | 75 | 23 | 37 | 18 | 71.4% | 10.8% | 93.9% | 104.6 | LUCKY | |
| 15 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 1 | 3 | 3 | 1 | 59 | 14 | 15 | 25 | 5 | 59 | 23 | 16 | 42 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 49 | 33 | 47 | 16 | 27 | 14 | 66.7% | 13.6% | 93.2% | 106.8 | LUCKY | |
| 16 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 14 | 23 | 0 | 1 | 5 | 2 | 2 | 0 | 110 | 47 | 29 | 34 | 0 | 89 | 24 | 22 | 52 | 16 | 3 | 18.75% | 10 | 3 | 70.00% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 74 | 52 | 68 | 21 | 37 | 18 | 60.0% | 8.2% | 92.1% | 100.3 | DULL | |
| 17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 1 | 2 | 3 | 0 | 78 | 23 | 31 | 24 | 0 | 79 | 19 | 33 | 40 | 8 | 1 | 12.50% | 10 | 1 | 90.00% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 43 | 28 | 53 | 14 | 23 | 11 | 62.5% | 7.7% | 94.9% | 102.6 | DULL | |
| 18 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 4 | 0.667 | 13 | 23 | 36 | 0 | 1 | 7 | 2 | 4 | 0 | 99 | 34 | 33 | 32 | 0 | 100 | 35 | 31 | 68 | 14 | 2 | 14.29% | 13 | 1 | 92.31% | 1 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 70 | 47 | 70 | 22 | 38 | 19 | 68.8% | 13.1% | 94.0% | 107.1 | LUCKY | |
| 19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 51 | 23 | 14 | 14 | 0 | 67 | 9 | 14 | 33 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 49 | 33 | 45 | 13 | 25 | 12 | 33.3% | 5.9% | 89.6% | 95.4 | Unlucky | |
| 20 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 7 | 2 | 3 | 0.750 | 9 | 17 | 26 | 0 | 0 | 3 | 3 | 3 | 0 | 88 | 25 | 37 | 26 | 0 | 73 | 25 | 26 | 37 | 8 | 5 | 62.50% | 8 | 2 | 75.00% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 49 | 35 | 48 | 14 | 23 | 12 | 44.4% | 10.2% | 90.4% | 100.6 | FUN | |
| 21 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 10 | 6 | 6 | 0.750 | 16 | 31 | 47 | 0 | 1 | 6 | 4 | 6 | 0 | 187 | 64 | 52 | 71 | 0 | 102 | 37 | 33 | 78 | 19 | 3 | 15.79% | 13 | 2 | 84.62% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 103 | 73 | 86 | 30 | 50 | 26 | 61.9% | 8.6% | 90.2% | 98.8 | Unlucky | |
| 22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 8 | 14 | 0 | 0 | 4 | 0 | 2 | 0 | 83 | 33 | 26 | 24 | 0 | 54 | 10 | 15 | 49 | 6 | 1 | 16.67% | 5 | 0 | 100.00% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 49 | 35 | 44 | 14 | 26 | 13 | 62.5% | 7.2% | 94.4% | 101.7 | DULL | |
| 23 | 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 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 43 | 30 | 50 | 15 | 25 | 12 | 54.5% | 12.3% | 86.7% | 99.0 | FUN | |
| 24 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 14 | -4 | 2 | 0.250 | 10 | 17 | 27 | 0 | 0 | 6 | 2 | 2 | 0 | 155 | 50 | 49 | 56 | 0 | 139 | 38 | 32 | 87 | 13 | 3 | 23.08% | 14 | 3 | 78.57% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 100 | 71 | 88 | 28 | 50 | 26 | 38.9% | 6.5% | 89.9% | 96.4 | Unlucky | |
| 25 | 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 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 46 | 32 | 49 | 15 | 24 | 11 | 40.0% | 6.5% | 90.0% | 96.5 | Unlucky | |
| 26 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 4 | 4 | 3 | 0 | 99 | 30 | 32 | 37 | 0 | 96 | 21 | 46 | 65 | 19 | 5 | 26.32% | 17 | 4 | 76.47% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 72 | 49 | 68 | 22 | 39 | 20 | 50.0% | 11.1% | 89.6% | 100.7 | FUN | |
| 27 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 1 | 3 | 1 | 1 | 51 | 14 | 23 | 12 | 2 | 80 | 16 | 38 | 40 | 7 | 2 | 28.57% | 12 | 3 | 75.00% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 41 | 27 | 54 | 16 | 25 | 11 | 50.0% | 11.8% | 91.3% | 103.0 | LUCKY | |
| 28 | 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 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 49 | 35 | 50 | 13 | 25 | 12 | 61.5% | 10.3% | 94.4% | 104.7 | LUCKY | |
| 29 | 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 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 68 | 46 | 75 | 22 | 35 | 17 | 71.4% | 5.5% | 96.9% | 102.4 | DULL | |
| 30 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 19 | 30 | 0 | 1 | 2 | 3 | 6 | 0 | 95 | 29 | 31 | 35 | 0 | 84 | 30 | 37 | 67 | 13 | 2 | 15.38% | 9 | 1 | 88.89% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 76 | 53 | 65 | 22 | 38 | 19 | 60.0% | 11.6% | 91.7% | 103.2 | LUCKY | |
| 31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 4 | 0 | 0 | 0 | 76 | 31 | 21 | 24 | 0 | 63 | 23 | 21 | 41 | 6 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 52 | 37 | 43 | 14 | 24 | 12 | 36.4% | 5.3% | 84.1% | 89.4 | Unlucky | |
| _Vs Division | 23 | 14 | 8 | 0 | 1 | 0 | 0 | 0 | 78 | 60 | 18 | 30 | 0.652 | 78 | 138 | 216 | 0 | 2 | 34 | 21 | 22 | 1 | 859 | 278 | 288 | 289 | 4 | 736 | 222 | 242 | 479 | 104 | 20 | 19.23% | 98 | 15 | 84.69% | 1 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 558 | 385 | 533 | 171 | 291 | 147 | 56.3% | 9.1% | 91.8% | 100.9 | LUCKY | |
| _Vs Conference | 45 | 27 | 17 | 0 | 1 | 0 | 0 | 0 | 146 | 116 | 30 | 56 | 0.622 | 146 | 261 | 407 | 0 | 6 | 57 | 44 | 44 | 1 | 1625 | 554 | 523 | 544 | 4 | 1418 | 408 | 481 | 940 | 193 | 32 | 16.58% | 189 | 30 | 84.13% | 3 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 1099 | 764 | 1037 | 333 | 566 | 285 | 57.0% | 9.0% | 91.8% | 100.8 | LUCKY | |
| _Since Last GM Reset | 77 | 42 | 28 | 0 | 5 | 1 | 1 | 0 | 258 | 214 | 44 | 97 | 0.630 | 258 | 463 | 721 | 1 | 7 | 94 | 79 | 79 | 7 | 2713 | 911 | 906 | 879 | 21 | 2458 | 712 | 778 | 1596 | 301 | 57 | 18.94% | 305 | 50 | 83.61% | 4 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 1869 | 1300 | 1792 | 571 | 979 | 492 | 55.1% | 9.5% | 91.3% | 100.8 | LUCKY | |
| Total | 77 | 42 | 28 | 0 | 5 | 1 | 1 | 0 | 258 | 214 | 44 | 97 | 0.630 | 258 | 463 | 721 | 1 | 7 | 94 | 79 | 79 | 7 | 2713 | 911 | 906 | 879 | 21 | 2458 | 712 | 778 | 1596 | 301 | 57 | 18.94% | 305 | 50 | 83.61% | 4 | 1506 | 2953 | 51.00% | 1423 | 2760 | 51.56% | 659 | 1237 | 53.27% | 1869 | 1300 | 1792 | 571 | 979 | 492 | 55.1% | 9.5% | 91.3% | 100.8 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2953 |
| Neutral Zone Start | 1237 |
| Defensive Zone Start | 2760 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3588 |
| Faceoffs Lost | 3362 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.8 | 9.57 |
| 2nd Period | 23.6 | 20.31 |
| 3rd Period | 35.0 | 30.68 |
| Overtime | 35.3 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.2 | 0.64 |
| 2nd Period | 2.2 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.4 | 2.83 |
| Even Strenght Goal | 196 |
|---|---|
| PP Goal | 57 |
| PK Goal | 4 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 26 | 22 |
| Lost | 13 | 15 |
| Overtime Lost | 0 | 1 |
| PP Attempt | 301 |
|---|---|
| PP Goal | 57 |
| PK Attempt | 305 |
| PK Goal Against | 50 |
| Home | |
|---|---|
| Shots For | 35.2 |
| Shots Against | 31.9 |
| Goals For | 3.4 |
| Goals Against | 2.8 |
| Hits | 20.7 |
| Shots Blocked | 9.2 |
| Pim | 10.1 |
| 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 | |||||||||||
| 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 | |||||||||||
| 2026-01-09 | @ | Wild3,Kraken6 | RECAP | |||||||||||
| 2026-01-11 | @ | Islanders2,Wild6 | RECAP | |||||||||||
| 2026-01-13 | @ | Devils2,Wild0 | RECAP | |||||||||||
| 2026-01-16 | @ | Jets4,Wild1 | RECAP | |||||||||||
| 2026-01-18 | @ | Wild3,Sabres4 (OT) | RECAP | |||||||||||
| 2026-01-20 | @ | Wild3,Maple Leafs5 | RECAP | |||||||||||
| 2026-01-21 | @ | Wild3,Canadiens1 | RECAP | |||||||||||
| 2026-01-23 | @ | Red Wings2,Wild5 | RECAP | |||||||||||
| 2026-01-25 | @ | Panthers1,Wild3 | RECAP | |||||||||||
| 2026-01-28 | @ | Blackhawks6,Wild5 | RECAP | |||||||||||
| 2026-01-30 | @ | Flames5,Wild1 | RECAP | |||||||||||
| 2026-02-01 | @ | Wild3,Oilers5 | RECAP | |||||||||||
| 2026-02-03 | @ | Canadiens4,Wild2 | RECAP | |||||||||||
| 2026-02-05 | @ | Wild2,Predators5 | RECAP | |||||||||||
| 2026-02-27 | @ | Wild2,Avalanche3 | RECAP | |||||||||||
| 2026-02-28 | @ | Wild4,Mammoth0 | RECAP | |||||||||||
| 2026-03-02 | @ | Blues2,Wild3 | RECAP | |||||||||||
| 2026-03-04 | @ | Lightning3,Wild4 (OT) | RECAP | |||||||||||
| 2026-03-07 | @ | Wild5,Golden Knights0 | RECAP | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-09 | @ | Wild3,Avalanche2 (OT) | RECAP | |||||||||||
| 2026-03-11 | @ | Mammoth4,Wild3 | RECAP | |||||||||||
| 2026-03-13 | @ | Flyers3,Wild4 (OT) | RECAP | |||||||||||
| 2026-03-15 | @ | Rangers6,Wild3 | RECAP | |||||||||||
| 2026-03-16 | @ | Maple Leafs2,Wild3 (OT) | RECAP | |||||||||||
| 2026-03-18 | @ | Wild5,Blackhawks3 | RECAP | |||||||||||
| 2026-03-20 | @ | Blackhawks0,Wild3 | RECAP | |||||||||||
| 2026-03-22 | @ | Stars3,Wild5 | RECAP | |||||||||||
| 2026-03-25 | @ | Wild4,Lightning1 | RECAP | |||||||||||
| 2026-03-27 | @ | Wild3,Panthers2 | RECAP | |||||||||||
| 2026-03-29 | @ | Wild2,Bruins5 | RECAP | |||||||||||
| 2026-04-03 | @ | Canucks3,Wild5 | RECAP | |||||||||||
| 2026-04-05 | @ | Wild1,Senators5 | RECAP | |||||||||||
| 2026-04-06 | @ | Wild3,Red Wings4 | RECAP | |||||||||||
| 2026-04-08 | @ | |||||||||||||
| 2026-04-10 | @ | |||||||||||||
| 2026-04-12 | @ | |||||||||||||
| 2026-04-14 | @ | |||||||||||||
| 2026-04-15 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 89,725,000$ | 0$ | 92,938,680$ | 5,775,000$ |
| 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 | 225214 | 187164 | 74935 | 150286 | 37366 |
| Attendance PCT | 96.25% | 95.98% | 96.07% | 96.34% | 95.81% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 2 | 17307 - 96.15% | 1,586,810$ | 61,885,607$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 89,725,000$ | 89,725,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 89,213,418$ | 467,318$ | 88,265,500$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 3,173,621$ | 10 | 472,526$ | 4,725,260$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 4,725,260$ | 89,725,000$ | 57,434,671$ | 55,883,032$ |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
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| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
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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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| 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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