| Minnesota Wild 35-22-1, 71pts · 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 | 100.00 | 72 | 34 | 91 | 79 | 86 | 88 | 79 | 78 | 89 | 87 | 74 | 77 | 76 | 77 | 89 | 0 | 64 | 89 | 30 | 10,000,000$/5yrs | |||
Tomas Hertl | 0 | C/LW | 100.00 | 72 | 36 | 86 | 74 | 86 | 83 | 88 | 74 | 88 | 72 | 82 | 63 | 78 | 80 | 78 | 0 | 74 | 85 | 32 | 7,750,000$/5yrs | |||
Alex DeBrincat | 0 | C/LW/RW | 100.00 | 60 | 34 | 88 | 78 | 65 | 84 | 90 | 76 | 60 | 73 | 85 | 57 | 80 | 72 | 71 | 0 | 73 | 84 | 28 | 8,000,000$/5yrs | |||
Valeri Nichushkin | 0 | LW/RW | 100.00 | 69 | 34 | 92 | 76 | 85 | 86 | 80 | 72 | 61 | 72 | 80 | 66 | 76 | 77 | 76 | 0 | 61 | 84 | 30 | 6,125,000$/5yrs | |||
Zach Hyman | 0 | LW/RW | 100.00 | 67 | 33 | 84 | 69 | 82 | 86 | 85 | 72 | 58 | 68 | 80 | 53 | 76 | 82 | 80 | 0 | 73 | 81 | 33 | 6,000,000$/3yrs | |||
Brayden Schenn | 0 | C/LW/RW | 100.00 | 82 | 49 | 76 | 66 | 78 | 83 | 90 | 66 | 85 | 69 | 69 | 63 | 67 | 83 | 89 | 0 | 74 | 79 | 34 | 6,500,000$/3yrs | |||
Chris Terry | 0 | LW/RW | 100.00 | 69 | 39 | 76 | 58 | 72 | 73 | 88 | 71 | 38 | 67 | 58 | 74 | 63 | 82 | 80 | 0 | 71 | 76 | 36 | 800,000$/2yrs | |||
Alexander Kerfoot | 0 | C/LW | 100.00 | 64 | 32 | 94 | 59 | 72 | 80 | 83 | 58 | 79 | 63 | 64 | 77 | 61 | 78 | 77 | 0 | 73 | 75 | 31 | 3,500,000$/1yrs | |||
Lawson Crouse | 0 | LW/RW | 100.00 | 84 | 40 | 85 | 63 | 87 | 79 | 90 | 58 | 71 | 58 | 66 | 72 | 62 | 73 | 71 | 0 | 73 | 75 | 28 | 4,300,000$/3yrs | |||
Calle Jarnkrok | 0 | C/LW/RW | 100.00 | 64 | 32 | 93 | 56 | 75 | 75 | 74 | 60 | 60 | 61 | 62 | 65 | 61 | 83 | 82 | 0 | 73 | 73 | 34 | 2,100,000$/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 | 28 | 2,100,000$/3yrs | |||
Sheldon Rempal | 27 | RW | 100.00 | 65 | 37 | 81 | 59 | 63 | 71 | 87 | 65 | 50 | 59 | 65 | 67 | 62 | 72 | 70 | 0 | 66 | 73 | 30 | 800,000$/1yrs | |||
Jonas Brodin | 0 | D | 100.00 | 59 | 33 | 89 | 61 | 78 | 92 | 83 | 63 | 30 | 68 | 60 | 76 | 61 | 80 | 79 | 0 | 73 | 79 | 32 | 5,500,000$/1yrs | |||
Oliver Ekman-Larsson | 0 | D | 100.00 | 73 | 33 | 76 | 63 | 80 | 89 | 89 | 59 | 30 | 71 | 60 | 63 | 60 | 83 | 92 | 0 | 73 | 78 | 34 | 4,500,000$/2yrs | |||
Adam Pelech | 0 | D | 100.00 | 68 | 33 | 82 | 60 | 84 | 89 | 86 | 61 | 30 | 66 | 53 | 76 | 57 | 78 | 76 | 0 | 20 | 77 | 31 | 5,750,000$/4yrs | |||
Matt Roy | 0 | D | 100.00 | 74 | 35 | 90 | 59 | 80 | 88 | 88 | 60 | 30 | 67 | 55 | 74 | 58 | 77 | 76 | 0 | 66 | 77 | 30 | 4,250,000$/4yrs | |||
Samuel Girard | 0 | D | 100.00 | 65 | 32 | 94 | 65 | 65 | 88 | 85 | 59 | 30 | 68 | 58 | 68 | 59 | 71 | 71 | 0 | 73 | 77 | 27 | 5,000,000$/3yrs | |||
Cody Ceci | 0 | D | 100.00 | 65 | 33 | 90 | 57 | 83 | 88 | 90 | 60 | 30 | 64 | 56 | 75 | 58 | 79 | 78 | 0 | 73 | 76 | 32 | 3,750,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
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 | |||
Zac Jones | 0 | D | 100.00 | 63 | 32 | 82 | 59 | 68 | 83 | 75 | 54 | 30 | 64 | 54 | 58 | 54 | 67 | 65 | 0 | 52 | 71 | 25 | 950,000$/2yrs | |||
| TEAM AVERAGE | 100.00 | 70 | 35 | 86 | 63 | 77 | 82 | 84 | 63 | 55 | 67 | 64 | 67 | 64 | 77 | 77 | 0 | 60 | 77 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joey Daccord | 0 | 100.00 | 86 | 95 | 82 | 80 | 89 | 77 | 90 | 92 | 88 | 93 | 90 | 75 | 79 | 0 | 50 | 90 | 29 | 1,200,000$/1yrs |
Thatcher Demko | 0 | 100.00 | 78 | 79 | 74 | 80 | 80 | 74 | 81 | 85 | 82 | 83 | 81 | 75 | 80 | 0 | 76 | 84 | 30 | 5,000,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 82 | 87 | 78 | 80 | 85 | 76 | 86 | 89 | 85 | 88 | 86 | 75 | 80 | 0 | 63 | 87 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bruce Boudreau | 78 | 69 | 90 | 83 | 99 | 92 | 74 | CAN | 69 | 4 | 1,000,000$ |
| 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 | 58 | 22 | 49 | 71 | 22 | 22 | 0 | 96 | 235 | 75 | 179 | 9.36% | 18 | 21.69 | 6 | 15 | 21 | 210 | 0 | 0 | 0 | 120 | 4 | 1 | 56.21% | 1770 | 0 | 0 | 0 | 1 | 1.13 | 0 | 1 | |
| 2 | Alex DeBrincat | 0 | C/LW/RW | 58 | 24 | 23 | 47 | 18 | 41 | 15 | 33 | 242 | 55 | 157 | 9.92% | 9 | 21.26 | 6 | 7 | 13 | 208 | 0 | 0 | 0 | 124 | 3 | 1 | 47.69% | 130 | 0 | 0 | 0 | 0 | 0.76 | 1 | 1 | |
| 3 | Jonas Brodin | 0 | D | 58 | 14 | 32 | 46 | 15 | 34 | 10 | 53 | 121 | 36 | 78 | 11.57% | 107 | 26.30 | 6 | 9 | 15 | 215 | 0 | 3 | 3 | 211 | 5 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
| 4 | Valeri Nichushkin | 0 | LW/RW | 48 | 21 | 24 | 45 | 23 | 26 | 0 | 83 | 229 | 68 | 165 | 9.17% | 17 | 22.43 | 5 | 5 | 10 | 169 | 1 | 2 | 3 | 151 | 4 | 1 | 42.67% | 389 | 0 | 0 | 2 | 0 | 0.84 | 1 | 1 | |
| 5 | Zach Hyman | 0 | LW/RW | 58 | 16 | 27 | 43 | 9 | 8 | 0 | 49 | 181 | 56 | 147 | 8.84% | 17 | 21.17 | 7 | 7 | 14 | 191 | 2 | 1 | 3 | 257 | 1 | 1 | 49.22% | 128 | 0 | 0 | 0 | 0 | 0.70 | 0 | 1 | |
| 6 | Brayden Schenn | 0 | C/LW/RW | 58 | 18 | 24 | 42 | 7 | 69 | 5 | 157 | 173 | 45 | 110 | 10.40% | 13 | 17.87 | 2 | 10 | 12 | 191 | 1 | 0 | 1 | 78 | 5 | 2 | 56.11% | 221 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |
| 7 | Samuel Girard | 0 | D | 58 | 11 | 21 | 32 | 7 | 26 | 0 | 56 | 76 | 23 | 42 | 14.47% | 69 | 20.54 | 5 | 8 | 13 | 178 | 0 | 0 | 0 | 168 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 8 | Cody Ceci | 0 | D | 58 | 6 | 20 | 26 | 10 | 48 | 0 | 79 | 72 | 10 | 51 | 8.33% | 86 | 21.39 | 4 | 7 | 11 | 179 | 0 | 1 | 1 | 179 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
| 9 | Tomas Hertl | 0 | C/LW | 58 | 10 | 16 | 26 | -2 | 16 | 0 | 44 | 152 | 40 | 115 | 6.58% | 10 | 11.41 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 51.13% | 800 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 10 | Lawson Crouse | 0 | LW/RW | 58 | 10 | 13 | 23 | 4 | 34 | 10 | 105 | 104 | 25 | 62 | 9.62% | 4 | 11.44 | 0 | 5 | 5 | 92 | 0 | 0 | 0 | 0 | 2 | 0 | 47.09% | 172 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
| 11 | Adam Pelech | 0 | D | 53 | 3 | 17 | 20 | -13 | 45 | 5 | 88 | 48 | 20 | 46 | 6.25% | 82 | 22.76 | 2 | 1 | 3 | 87 | 0 | 1 | 1 | 177 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 12 | Oliver Ekman-Larsson | 0 | D | 58 | 3 | 16 | 19 | 13 | 88 | 0 | 122 | 52 | 19 | 34 | 5.77% | 49 | 19.92 | 0 | 3 | 3 | 218 | 0 | 0 | 0 | 22 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
| 13 | Calle Jarnkrok | 0 | C/LW/RW | 58 | 5 | 12 | 17 | 4 | 4 | 0 | 17 | 52 | 18 | 45 | 9.62% | 4 | 9.50 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 36.67% | 30 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
| 14 | Alexander Kerfoot | 0 | C/LW | 58 | 8 | 8 | 16 | -2 | 8 | 0 | 35 | 93 | 21 | 56 | 8.60% | 3 | 10.03 | 1 | 1 | 2 | 39 | 0 | 0 | 0 | 69 | 2 | 0 | 49.24% | 654 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
| 15 | Sam Steel | 0 | C/LW | 50 | 6 | 9 | 15 | 1 | 10 | 0 | 37 | 76 | 21 | 35 | 7.89% | 6 | 13.61 | 1 | 2 | 3 | 53 | 0 | 1 | 1 | 48 | 1 | 0 | 48.56% | 591 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
| 16 | Matt Roy | 0 | D | 58 | 1 | 13 | 14 | 4 | 63 | 5 | 113 | 28 | 7 | 15 | 3.57% | 57 | 15.00 | 0 | 0 | 0 | 9 | 0 | 1 | 1 | 118 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 17 | Zac Jones | 0 | D | 34 | 0 | 7 | 7 | 5 | 10 | 0 | 27 | 6 | 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 | |
| 18 | Sheldon Rempal | 27 | RW | 53 | 3 | 3 | 6 | -6 | 20 | 10 | 28 | 38 | 12 | 29 | 7.89% | 3 | 7.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.75% | 16 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
| 19 | Chris Terry | 0 | LW/RW | 33 | 2 | 3 | 5 | -6 | 10 | 0 | 17 | 39 | 7 | 28 | 5.13% | 2 | 7.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 15.38% | 13 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
| Team Total or Average | 1025 | 183 | 337 | 520 | 113 | 582 | 60 | 1239 | 2017 | 559 | 1396 | 9.07% | 582 | 16.86 | 45 | 80 | 125 | 2051 | 4 | 10 | 14 | 1764 | 36 | 9 | 51.47% | 4914 | 0 | 0 | 2 | 1 | 0.60 | 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 | 52 | 29 | 20 | 3 | 0.895 | 3.09 | 2929 | 2 | 2 | 151 | 1444 | 0 | 2 | 0 | 1.000 | 3 | 52 | 4 | 0 | 1 | 5 | |
| 2 | Thatcher Demko | 25 | 17 | 5 | 0 | 0.920 | 2.64 | 1389 | 2 | 2 | 61 | 758 | 0 | 0 | 0 | 0.000 | 0 | 22 | 36 | 4 | 2 | 0 | |
| Team Total or Average | 77 | 46 | 25 | 3 | 0.904 | 2.95 | 4318 | 4 | 4 | 212 | 2202 | 0 | 2 | 0 | 1.000 | 3 | 74 | 40 | 4 | 3 | 5 |
| Projected Total Cap Hit | 93,528,803$ |
| Projected Cap Space | 1,971,197$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 59,504,972$ |
| 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 | ||||||
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 | 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 | 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 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Anttoni Honka | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Brett Seney | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cameron Hughes | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Charles-Alexis Legault | D | 22 | 915,833$ | 915,833$ | 915,833$ | RFA | |||||
Chase de Leo | C | 30 | 800,000$ | 800,000$ | UFA | ||||||
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 | 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 | 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$ | |||||||
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 | 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 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 75 | 52 | 66 | 20 | 38 | 19 | 63.2% | 12.2% | 91.1% | 103.3 | Unlucky | |
| 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 25 | 17 | 21 | 7 | 12 | 6 | 25.0% | 3.0% | 89.3% | 92.3 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 50 | 36 | 44 | 14 | 25 | 13 | nan% | 2.8% | 95.7% | 98.5 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 21 | 14 | 25 | 7 | 13 | 6 | 57.1% | 12.1% | 91.2% | 103.3 | LUCKY | |
| 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 25 | 18 | 21 | 7 | 12 | 6 | 71.4% | 11.6% | 89.7% | 101.3 | FUN | |
| 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 38 | 17 | 8 | 13 | 0 | 24 | 13 | 6 | 17 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 22 | 15 | 23 | 7 | 13 | 6 | 71.4% | 13.2% | 91.7% | 104.8 | LUCKY | |
| 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 46 | 33 | 47 | 14 | 26 | 14 | 66.7% | 14.1% | 91.4% | 105.5 | LUCKY | |
| 12 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 56 | 40 | 37 | 14 | 25 | 13 | 60.0% | 7.2% | 95.9% | 103.1 | DULL | |
| 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 66 | 45 | 75 | 23 | 37 | 18 | 71.4% | 10.8% | 93.9% | 104.6 | LUCKY | |
| 15 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 74 | 52 | 68 | 21 | 37 | 18 | 60.0% | 8.2% | 92.1% | 100.3 | DULL | |
| 16 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 21 | 14 | 25 | 7 | 12 | 5 | 50.0% | 8.8% | 95.5% | 104.3 | DULL | |
| 17 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 26 | 17 | 20 | 7 | 12 | 6 | 83.3% | 17.1% | 93.5% | 110.7 | LUCKY | |
| 18 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 25 | 17 | 21 | 6 | 12 | 6 | 50.0% | 4.5% | 93.8% | 98.3 | DULL | |
| 19 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 49 | 35 | 48 | 14 | 23 | 12 | 44.4% | 10.2% | 90.4% | 100.6 | FUN | |
| 20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 3 | 2 | 3 | 0 | 83 | 27 | 28 | 28 | 0 | 63 | 19 | 18 | 35 | 11 | 2 | 18.18% | 8 | 2 | 75.00% | 0 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 51 | 37 | 44 | 15 | 24 | 12 | 54.5% | 9.6% | 88.9% | 98.5 | FUN | |
| 21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 0 | 2 | 0 | 32 | 7 | 12 | 13 | 0 | 24 | 3 | 8 | 20 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 23 | 15 | 22 | 7 | 13 | 6 | 75.0% | 9.4% | 95.8% | 105.2 | LUCKY | |
| 22 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 43 | 30 | 50 | 15 | 25 | 12 | 54.5% | 12.3% | 86.7% | 99.0 | FUN | |
| 23 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 100 | 71 | 88 | 28 | 50 | 26 | 38.9% | 6.5% | 89.9% | 96.4 | Unlucky | |
| 24 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 46 | 32 | 49 | 15 | 24 | 11 | 40.0% | 6.5% | 90.0% | 96.5 | Unlucky | |
| 25 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 49 | 33 | 43 | 15 | 26 | 14 | 50.0% | 8.8% | 88.3% | 97.2 | Unlucky | |
| 26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 26 | 10 | 10 | 6 | 0 | 38 | 5 | 21 | 19 | 3 | 2 | 66.67% | 6 | 2 | 66.67% | 0 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 21 | 13 | 26 | 8 | 12 | 5 | 25.0% | 11.5% | 86.8% | 98.4 | FUN | |
| 27 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 49 | 35 | 50 | 13 | 25 | 12 | 61.5% | 10.3% | 94.4% | 104.7 | LUCKY | |
| 28 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 68 | 46 | 75 | 22 | 35 | 17 | 71.4% | 5.5% | 96.9% | 102.4 | DULL | |
| 29 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 53 | 37 | 41 | 14 | 25 | 12 | 40.0% | 9.1% | 88.3% | 97.4 | FUN | |
| 30 | 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 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 52 | 37 | 43 | 14 | 24 | 12 | 36.4% | 5.3% | 84.1% | 89.4 | Unlucky | |
| _Vs Division | 15 | 9 | 6 | 0 | 0 | 0 | 0 | 0 | 50 | 43 | 7 | 18 | 0.600 | 50 | 88 | 138 | 0 | 0 | 25 | 11 | 14 | 0 | 557 | 175 | 189 | 193 | 0 | 499 | 147 | 143 | 322 | 72 | 14 | 19.44% | 66 | 14 | 78.79% | 1 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 367 | 255 | 343 | 112 | 189 | 97 | 55.4% | 9.0% | 91.4% | 100.4 | LUCKY | |
| _Vs Conference | 35 | 20 | 15 | 0 | 0 | 0 | 0 | 0 | 108 | 96 | 12 | 40 | 0.571 | 108 | 192 | 300 | 0 | 3 | 48 | 32 | 28 | 0 | 1264 | 434 | 411 | 419 | 0 | 1136 | 316 | 346 | 741 | 158 | 26 | 16.46% | 146 | 27 | 81.51% | 3 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 861 | 600 | 801 | 259 | 436 | 221 | 54.3% | 8.5% | 91.5% | 100.1 | DULL | |
| _Since Last GM Reset | 58 | 33 | 22 | 0 | 1 | 1 | 1 | 0 | 193 | 163 | 30 | 71 | 0.612 | 193 | 344 | 537 | 1 | 4 | 79 | 56 | 56 | 3 | 2064 | 691 | 699 | 671 | 7 | 1874 | 539 | 570 | 1209 | 239 | 46 | 19.25% | 236 | 42 | 82.20% | 4 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 1408 | 982 | 1347 | 429 | 731 | 368 | 54.9% | 9.4% | 91.3% | 100.7 | LUCKY | |
| Total | 58 | 33 | 22 | 0 | 1 | 1 | 1 | 0 | 193 | 163 | 30 | 71 | 0.612 | 193 | 344 | 537 | 1 | 4 | 79 | 56 | 56 | 3 | 2064 | 691 | 699 | 671 | 7 | 1874 | 539 | 570 | 1209 | 239 | 46 | 19.25% | 236 | 42 | 82.20% | 4 | 1139 | 2264 | 50.31% | 1089 | 2095 | 51.98% | 517 | 942 | 54.88% | 1408 | 982 | 1347 | 429 | 731 | 368 | 54.9% | 9.4% | 91.3% | 100.7 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 12 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2264 |
| Neutral Zone Start | 942 |
| Defensive Zone Start | 2095 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2745 |
| Faceoffs Lost | 2556 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.9 | 9.57 |
| 2nd Period | 24.0 | 20.31 |
| 3rd Period | 35.5 | 30.68 |
| Overtime | 35.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.3 | 2.67 |
| Overtime | 3.3 | 2.83 |
| Even Strenght Goal | 142 |
|---|---|
| PP Goal | 46 |
| PK Goal | 4 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 19 | 16 |
| Lost | 11 | 11 |
| Overtime Lost | 0 | 1 |
| PP Attempt | 239 |
|---|---|
| PP Goal | 46 |
| PK Attempt | 236 |
| PK Goal Against | 42 |
| Home | |
|---|---|
| Shots For | 35.6 |
| Shots Against | 32.3 |
| Goals For | 3.3 |
| Goals Against | 2.8 |
| Hits | 20.8 |
| Shots Blocked | 9.3 |
| Pim | 9.8 |
| 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 | @ | |||||||||||||
| 2026-02-28 | @ | |||||||||||||
| 2026-03-02 | @ | |||||||||||||
| 2026-03-04 | @ | |||||||||||||
| 2026-03-07 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-09 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-16 | @ | |||||||||||||
| 2026-03-18 | @ | |||||||||||||
| 2026-03-20 | @ | |||||||||||||
| 2026-03-22 | @ | |||||||||||||
| 2026-03-25 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-03-29 | @ | |||||||||||||
| 2026-04-03 | @ | |||||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 94,675,000$ | 0$ | 93,528,803$ | 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 | 173383 | 143424 | 57625 | 115266 | 28899 |
| Attendance PCT | 96.32% | 95.62% | 96.04% | 96.06% | 96.33% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 11 | 17287 - 96.04% | 1,586,956$ | 47,608,684$ | 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 |
|---|---|---|---|
| 60,145,562$ | 493,099$ | 59,504,972$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 17,456,517$ | 69 | 498,307$ | 34,383,183$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 35,124,297$ | 94,675,000$ | 72,996,393$ | 55,328,613$ |
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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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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| 10 | text | Any text entered in the filter will match text found within the column |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
|---|---|---|---|---|---|
| Barrett Hall | 2022 | 152 | |||
| Ben Merrill | 2024 | 185 | |||
| Benjamin Gaudreau | 2021 | 44 | |||
| Benton Maass | |||||
| 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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