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Full Scoreboard »» |
Minnesota Wild 4-0-0, 8pts · 1st in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 72 | 34 | 90 | 80 | 86 | 89 | 87 | 79 | 89 | 87 | 75 | 81 | 77 | 76 | 88 | 0 | 38 | 90 | 30 | 10,000,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 34 | 89 | 79 | 85 | 90 | 80 | 77 | 59 | 72 | 86 | 71 | 81 | 76 | 75 | 0 | 47 | 87 | 30 | 6,125,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 34 | 88 | 74 | 86 | 87 | 85 | 74 | 89 | 72 | 79 | 74 | 77 | 79 | 77 | 0 | 57 | 85 | 31 | 7,750,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 33 | 82 | 72 | 82 | 88 | 89 | 76 | 59 | 67 | 87 | 56 | 82 | 81 | 79 | 0 | 47 | 84 | 33 | 6,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 36 | 86 | 77 | 65 | 86 | 90 | 75 | 60 | 74 | 80 | 59 | 78 | 71 | 70 | 0 | 48 | 83 | 27 | 8,000,000$/5yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 81 | 47 | 75 | 68 | 78 | 85 | 90 | 68 | 84 | 71 | 70 | 70 | 69 | 82 | 88 | 0 | 47 | 81 | 34 | 6,500,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 61 | 35 | 88 | 70 | 80 | 88 | 89 | 70 | 88 | 76 | 67 | 75 | 69 | 78 | 76 | 0 | 47 | 81 | 31 | 5,500,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 41 | 84 | 67 | 87 | 81 | 90 | 63 | 59 | 61 | 69 | 74 | 66 | 72 | 70 | 0 | 47 | 78 | 28 | 4,300,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 32 | 91 | 62 | 72 | 83 | 90 | 63 | 80 | 68 | 64 | 79 | 64 | 77 | 76 | 0 | 47 | 77 | 31 | 3,500,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 32 | 96 | 65 | 67 | 81 | 86 | 64 | 79 | 65 | 65 | 74 | 65 | 69 | 69 | 0 | 47 | 76 | 26 | 4,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 68 | 32 | 89 | 59 | 75 | 80 | 76 | 65 | 61 | 65 | 65 | 64 | 65 | 82 | 80 | 0 | 47 | 75 | 34 | 2,100,000$/1yrs | |||
![]() | 27 | RW | 100.00 | 65 | 37 | 81 | 59 | 63 | 71 | 87 | 65 | 50 | 59 | 65 | 67 | 62 | 72 | 70 | 0 | 50 | 73 | 30 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 33 | 89 | 63 | 78 | 95 | 82 | 66 | 30 | 69 | 61 | 81 | 64 | 79 | 78 | 0 | 47 | 81 | 32 | 5,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 35 | 84 | 60 | 80 | 90 | 88 | 62 | 30 | 67 | 57 | 78 | 60 | 76 | 74 | 0 | 40 | 79 | 30 | 4,250,000$/4yrs | |||
![]() | 0 | D | 100.00 | 68 | 33 | 91 | 58 | 83 | 90 | 90 | 63 | 30 | 66 | 57 | 76 | 60 | 78 | 77 | 0 | 47 | 78 | 31 | 3,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 33 | 72 | 61 | 80 | 89 | 89 | 60 | 30 | 69 | 60 | 66 | 60 | 82 | 90 | 0 | 47 | 78 | 34 | 4,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 32 | 93 | 63 | 65 | 90 | 85 | 61 | 30 | 67 | 56 | 74 | 59 | 70 | 69 | 0 | 47 | 77 | 27 | 5,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 32 | 85 | 60 | 68 | 83 | 77 | 56 | 30 | 64 | 56 | 59 | 56 | 65 | 64 | 0 | 47 | 72 | 24 | 950,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 71 | 33 | 93 | 65 | 77 | 76 | 60 | 64 | 81 | 57 | 57 | 70 | 65 | 71 | 70 | 0 | 36 | 73 | 29 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 84 | 45 | 69 | 59 | 86 | 74 | 79 | 58 | 59 | 60 | 61 | 58 | 59 | 68 | 65 | 0 | 36 | 71 | 26 | 1,300,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 70 | 35 | 86 | 66 | 77 | 85 | 84 | 66 | 59 | 68 | 67 | 70 | 67 | 75 | 75 | 0 | 46 | 79 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 83 | 86 | 77 | 80 | 88 | 79 | 88 | 90 | 87 | 90 | 88 | 75 | 79 | 0 | 47 | 88 | 29 | 5,000,000$/1yrs |
![]() | 0 | 100.00 | 66 | 71 | 70 | 74 | 74 | 67 | 77 | 85 | 78 | 83 | 77 | 64 | 68 | 0 | 48 | 79 | 23 | 1,100,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 75 | 79 | 74 | 77 | 81 | 73 | 83 | 88 | 83 | 87 | 83 | 70 | 74 | 0 | 48 | 84 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 78 | 69 | 90 | 83 | 99 | 92 | 74 | CAN | 69 | 4 | 1,000,000$ |
General Manager | Philippe Shaugnessy |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Zach Hyman | 0 | LW/RW | 4 | 3 | 2 | 5 | 1 | 0 | 0 | 5 | 20 | 4 | 11 | 15.00% | 1 | 21.64 | 2 | 2 | 4 | 17 | 0 | 0 | 0 | 19 | 0 | 1 | 61.54% | 13 | 0 | 0 | 0 | 0 | 1.16 | 0 | 0 | |
2 | Aleksander Barkov | 0 | C | 4 | 2 | 2 | 4 | 0 | 0 | 0 | 7 | 13 | 9 | 14 | 15.38% | 3 | 21.83 | 1 | 1 | 2 | 17 | 0 | 0 | 0 | 11 | 1 | 0 | 44.95% | 109 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
3 | Brayden Schenn | 0 | C/LW/RW | 4 | 0 | 4 | 4 | 1 | 4 | 0 | 11 | 5 | 3 | 12 | 0.00% | 0 | 16.89 | 0 | 3 | 3 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 | |
4 | Chandler Stephenson | 0 | C/LW | 4 | 2 | 1 | 3 | 1 | 0 | 0 | 0 | 13 | 5 | 13 | 15.38% | 1 | 16.68 | 1 | 1 | 2 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 57.43% | 101 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
5 | Jonas Brodin | 0 | D | 4 | 1 | 2 | 3 | -2 | 0 | 0 | 5 | 13 | 0 | 4 | 7.69% | 8 | 26.66 | 1 | 1 | 2 | 17 | 0 | 0 | 0 | 19 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
6 | Lawson Crouse | 0 | LW/RW | 4 | 1 | 2 | 3 | 1 | 6 | 0 | 7 | 7 | 3 | 3 | 14.29% | 0 | 9.79 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.53 | 0 | 0 | |
7 | Samuel Girard | 0 | D | 4 | 2 | 1 | 3 | 2 | 2 | 0 | 6 | 7 | 1 | 3 | 28.57% | 2 | 20.53 | 2 | 1 | 3 | 16 | 0 | 0 | 0 | 12 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
8 | Valeri Nichushkin | 0 | LW/RW | 4 | 0 | 2 | 2 | -2 | 4 | 0 | 10 | 17 | 4 | 14 | 0.00% | 1 | 23.40 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 17 | 0 | 0 | 53.85% | 39 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
9 | Cody Ceci | 0 | D | 4 | 0 | 2 | 2 | 2 | 4 | 0 | 6 | 5 | 1 | 2 | 0.00% | 4 | 22.05 | 0 | 1 | 1 | 16 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
10 | Alex DeBrincat | 0 | C/LW/RW | 4 | 0 | 1 | 1 | -2 | 9 | 5 | 2 | 14 | 4 | 10 | 0.00% | 2 | 21.24 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 11 | 0 | 0 | 41.18% | 34 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
11 | Calle Jarnkrok | 0 | C/LW/RW | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 2 | 50.00% | 0 | 9.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
12 | Sheldon Rempal | 27 | RW | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 2 | 3 | 3 | 0 | 33.33% | 1 | 6.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |
13 | Matt Roy | 0 | D | 4 | 1 | 0 | 1 | 1 | 9 | 5 | 7 | 3 | 2 | 1 | 33.33% | 6 | 18.07 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
14 | Oliver Ekman-Larsson | 0 | D | 4 | 0 | 1 | 1 | 0 | 6 | 0 | 11 | 2 | 1 | 3 | 0.00% | 7 | 19.89 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | |
15 | Tomas Hertl | 0 | C/LW | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 7 | 0 | 8 | 0.00% | 1 | 11.18 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 45.16% | 31 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
16 | Noah Cates | 0 | C/LW | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 2 | 0 | 4 | 0.00% | 0 | 6.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | |
17 | Alexander Kerfoot | 0 | C/LW | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | 1 | 2 | 0.00% | 0 | 8.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 45.71% | 35 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
18 | Zac Jones | 0 | D | 4 | 0 | 0 | 0 | 1 | 4 | 0 | 4 | 1 | 0 | 0 | 0.00% | 5 | 14.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 72 | 14 | 22 | 36 | 9 | 48 | 10 | 93 | 140 | 41 | 106 | 10.00% | 42 | 16.33 | 7 | 12 | 19 | 177 | 0 | 0 | 0 | 139 | 4 | 1 | 49.20% | 374 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Thatcher Demko | 4 | 4 | 0 | 0 | 0.940 | 2.00 | 240 | 2 | 0 | 8 | 134 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 2 | 0 | 0 | |
Team Total or Average | 4 | 4 | 0 | 0 | 0.940 | 2.00 | 240 | 2 | 0 | 8 | 134 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 2 | 0 | 0 |
Projected Total Cap Hit | 94,552,168$ |
Projected Cap Space | 947,832$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 4,855,470$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Wild Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksander Barkov ![]() | C | 30 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | ||
Alex DeBrincat ![]() | C/LW/RW | 27 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||
Alexander Kerfoot ![]() | C/LW | 31 | 3,500,000$ | 3,500,000$ | UFA | ||||||
Brayden Schenn ![]() | C/LW/RW | 34 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | ||||
Calle Jarnkrok ![]() | C/LW/RW | 34 | 2,100,000$ | 2,100,000$ | UFA | ||||||
Chandler Stephenson ![]() | C/LW | 31 | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | ||
Cody Ceci ![]() | D | 31 | 3,750,000$ | 3,750,000$ | UFA | ||||||
Devon Levi ![]() | G | 23 | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Jonas Brodin ![]() | D | 32 | 5,500,000$ | 5,500,000$ | UFA | ||||||
Juho Lammikko ![]() | RW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Klim Kostin ![]() | C | 26 | 1,300,000$ | 1,300,000$ | |||||||
Lawson Crouse ![]() | LW/RW | 28 | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | UFA | ||||
Matt Roy ![]() | D | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||
Noah Cates ![]() | C/LW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||
Oliver Ekman-Larsson ![]() | D | 34 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Samuel Girard ![]() | D | 27 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||||
Sheldon Rempal ![]() | RW | 30 | 800,000$ | 800,000$ | UFA | ||||||
Thatcher Demko | G | 29 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Tomas Hertl ![]() | C/LW | 31 | 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 | 24 | 950,000$ | 950,000$ | 950,000$ | ||||||
Zach Hyman ![]() | LW/RW | 33 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Holtz ![]() | LW/RW | 23 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Anttoni Honka ![]() | D | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Brett Seney ![]() | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Cameron Hughes ![]() | C/LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Charles-Alexis Legault ![]() | D | 22 | 915,833$ | 915,833$ | 915,833$ | RFA | |||||
Chase de Leo ![]() | C | 29 | 800,000$ | 800,000$ | UFA | ||||||
Chris Terry ![]() | LW/RW | 36 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Christoffer Sedoff ![]() | D | 23 | 870,000$ | 870,000$ | RFA | ||||||
Curtis McKenzie ![]() | LW | 34 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Daniil Chayka ![]() | D | 22 | 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 | 26 | 1,250,000$ | 1,250,000$ | ![]() | ||||||
Max McCormick ![]() | LW | 33 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Nikita Novikov ![]() | D | 22 | 867,500$ | 867,500$ | RFA | ||||||
Owen Lindmark ![]() | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Philippe Daoust ![]() | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Rodwin Dionicio ![]() | D | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Roman Schmidt ![]() | D | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Rory Kerins ![]() | C | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | ![]() | ||||
Ryan O'Rourke ![]() | D | 23 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | ![]() | ||||
Walker Duehr ![]() | RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Wyatt Aamodt ![]() | D | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Xavier Bourgeault ![]() | RW | 22 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 24 | 9 | 7 | 8 | 0 | 34 | 12 | 21 | 28 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 0 | 64 | 151 | 42.38% | 88 | 145 | 60.69% | 30 | 64 | 46.88% | 20 | 13 | 27 | 8 | 11 | 5 | 100.0% | 8.3% | 97.1% | 105.4 | DULL | |
2 | 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 | 64 | 151 | 42.38% | 88 | 145 | 60.69% | 30 | 64 | 46.88% | 21 | 14 | 25 | 7 | 12 | 5 | 50.0% | 8.8% | 95.5% | 104.3 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 33 | 18 | 7 | 8 | 0 | 24 | 8 | 13 | 29 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 64 | 151 | 42.38% | 88 | 145 | 60.69% | 30 | 64 | 46.88% | 22 | 15 | 23 | 7 | 13 | 6 | 66.7% | 12.1% | 91.7% | 103.8 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 46 | 19 | 9 | 18 | 0 | 32 | 9 | 10 | 18 | 9 | 3 | 33.33% | 5 | 1 | 80.00% | 0 | 64 | 151 | 42.38% | 88 | 145 | 60.69% | 30 | 64 | 46.88% | 27 | 19 | 19 | 7 | 13 | 6 | 33.3% | 8.7% | 90.6% | 99.3 | Unlucky | |
_Vs Division | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 3 | 2 | 2 | 0 | 80 | 28 | 21 | 31 | 0 | 76 | 19 | 16 | 41 | 13 | 4 | 30.77% | 8 | 1 | 87.50% | 0 | 64 | 151 | 42.38% | 88 | 145 | 60.69% | 30 | 64 | 46.88% | 48 | 33 | 45 | 14 | 25 | 12 | 42.9% | 8.8% | 93.4% | 102.2 | DULL | |
_Vs Conference | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 6 | 1.000 | 9 | 16 | 25 | 0 | 0 | 3 | 3 | 3 | 0 | 104 | 37 | 28 | 39 | 0 | 110 | 31 | 37 | 69 | 17 | 5 | 29.41% | 16 | 2 | 87.50% | 0 | 64 | 151 | 42.38% | 88 | 145 | 60.69% | 30 | 64 | 46.88% | 69 | 46 | 73 | 23 | 37 | 18 | 50.0% | 8.7% | 94.5% | 103.2 | DULL | |
_Since Last GM Reset | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 8 | 1.000 | 13 | 24 | 37 | 0 | 0 | 5 | 4 | 4 | 0 | 137 | 55 | 35 | 47 | 0 | 134 | 39 | 50 | 98 | 23 | 7 | 30.43% | 20 | 3 | 85.00% | 0 | 64 | 151 | 42.38% | 88 | 145 | 60.69% | 30 | 64 | 46.88% | 91 | 61 | 97 | 30 | 51 | 25 | 54.5% | 9.5% | 94.0% | 103.5 | LUCKY | |
Total | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 8 | 5 | 8 | 1.000 | 13 | 24 | 37 | 0 | 0 | 5 | 4 | 4 | 0 | 137 | 55 | 35 | 47 | 0 | 134 | 39 | 50 | 98 | 23 | 7 | 30.43% | 20 | 3 | 85.00% | 0 | 64 | 151 | 42.38% | 88 | 145 | 60.69% | 30 | 64 | 46.88% | 91 | 61 | 97 | 30 | 51 | 25 | 54.5% | 9.5% | 94.0% | 103.5 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 151 |
Neutral Zone Start | 64 |
Defensive Zone Start | 145 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 182 |
Faceoffs Lost | 178 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.8 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 34.3 | 30.68 |
Overtime | 34.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 6 |
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PP Goal | 7 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 2 | 2 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 23 |
---|---|
PP Goal | 7 |
PK Attempt | 20 |
PK Goal Against | 3 |
Home | |
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Shots For | 34.3 |
Shots Against | 33.5 |
Goals For | 3.3 |
Goals Against | 2.0 |
Hits | 24.5 |
Shots Blocked | 9.8 |
Pim | 12.5 |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
94,625,000$ | 0$ | 94,552,168$ | 875,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Xcel Energy Center | |
City | Minnesota | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 10847 | 9806 | 4000 | 8000 | 1925 |
Attendance PCT | 90.39% | 98.06% | 100.00% | 100.00% | 96.25% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 17289 - 96.05% | 1,558,739$ | 3,117,478$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
94,625,000$ | 94,625,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
4,907,551$ | 492,839$ | 4,855,470$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
60,790,821$ | 182 | 498,047$ | 90,644,554$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
93,006,024$ | 94,625,000$ | 85,252,527$ | 53,037,324$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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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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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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Barrett Hall | 2022 | 152 | |||
Ben Merrill | 2024 | 185 | |||
Benjamin Gaudreau | 2021 | 44 | |||
Benton Maass | |||||
Chase Pietila | 2024 | 137 | |||
David Bedkowski | 2025 | 107 | |||
Gregor Bieber | 2024 | 116 | |||
Joe Miller | |||||
Niklas Nordgren | 7C | ||||
Noah Chadwick | 2023 | 191 | |||
Petr Hauser | 2022 | 136 | |||
Raoul Boilard | 2024 | 110 | |||
Roman Shokhrin | 2024 | 201 | |||
Samuel Sjolund | 2019 | 122 | |||
Santeri Sulku | 2022 | 178 | |||
Sutter Muzzatti | 2023 | 167 |
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