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Full Scoreboard »» |
Minnesota Wild 7-16-2, 16pts · 16th 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 | LW | 97.00 | 67 | 32 | 88 | 74 | 70 | 85 | 82 | 74 | 61 | 75 | 77 | 67 | 76 | 78 | 87 | 0 | 31 | 84 | 31 | 6,000,000$/3yrs | |||
![]() | 0 | C/LW | 98.00 | 59 | 34 | 90 | 80 | 78 | 81 | 89 | 72 | 60 | 73 | 75 | 77 | 74 | 67 | 67 | 0 | 31 | 84 | 25 | 2,600,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 36 | 73 | 70 | 88 | 80 | 86 | 72 | 80 | 71 | 72 | 82 | 72 | 66 | 63 | 0 | 31 | 83 | 24 | 1,460,000$/1yrs | |||
![]() | 0 | C/RW | 99.00 | 60 | 39 | 68 | 76 | 76 | 85 | 90 | 74 | 80 | 78 | 75 | 64 | 74 | 76 | 73 | 0 | 20 | 83 | 30 | 6,000,000$/3yrs | |||
![]() | 0 | LW/RW | 98.00 | 64 | 32 | 91 | 78 | 68 | 85 | 90 | 76 | 59 | 78 | 76 | 61 | 76 | 61 | 60 | 0 | 31 | 83 | 21 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 42 | 85 | 73 | 95 | 80 | 81 | 71 | 61 | 74 | 72 | 65 | 72 | 74 | 72 | 0 | 38 | 82 | 29 | 3,500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 32 | 84 | 72 | 74 | 83 | 86 | 71 | 61 | 75 | 74 | 63 | 72 | 82 | 81 | 0 | 31 | 82 | 34 | 4,500,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 68 | 41 | 78 | 74 | 72 | 84 | 88 | 73 | 59 | 74 | 74 | 74 | 74 | 64 | 62 | 0 | 35 | 82 | 23 | 5,000,000$/5yrs | |||
![]() | 0 | RW | 100.00 | 72 | 34 | 87 | 67 | 86 | 79 | 81 | 66 | 57 | 67 | 68 | 80 | 67 | 76 | 75 | 0 | 18 | 81 | 30 | 2,750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 84 | 53 | 61 | 68 | 76 | 79 | 83 | 68 | 60 | 67 | 70 | 78 | 69 | 68 | 64 | 0 | 32 | 80 | 26 | 2,750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 33 | 92 | 69 | 75 | 79 | 85 | 71 | 55 | 76 | 72 | 59 | 72 | 71 | 70 | 0 | 31 | 80 | 27 | 1,900,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 35 | 84 | 63 | 72 | 77 | 89 | 68 | 73 | 70 | 65 | 75 | 67 | 68 | 66 | 0 | 29 | 78 | 25 | 2,500,000$/2yrs | |||
![]() | 0 | D | 97.00 | 72 | 35 | 83 | 63 | 79 | 87 | 88 | 68 | 30 | 70 | 64 | 82 | 66 | 81 | 79 | 0 | 31 | 83 | 33 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 82 | 37 | 82 | 61 | 84 | 91 | 90 | 69 | 30 | 66 | 61 | 92 | 65 | 68 | 66 | 0 | 34 | 83 | 25 | 2,750,000$/3yrs | |||
![]() | 0 | D | 98.00 | 72 | 37 | 80 | 67 | 86 | 89 | 89 | 68 | 30 | 70 | 59 | 83 | 64 | 69 | 67 | 0 | 31 | 82 | 26 | 3,400,000$/5yrs | |||
![]() | 0 | D | 99.00 | 64 | 36 | 88 | 57 | 82 | 88 | 81 | 67 | 30 | 68 | 63 | 83 | 65 | 86 | 85 | 0 | 31 | 81 | 36 | 5,250,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 33 | 90 | 59 | 85 | 86 | 79 | 64 | 30 | 66 | 61 | 79 | 62 | 82 | 81 | 0 | 31 | 80 | 33 | 2,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 70 | 32 | 80 | 67 | 75 | 81 | 77 | 63 | 30 | 70 | 63 | 66 | 63 | 65 | 63 | 0 | 28 | 78 | 24 | 825,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 65 | 32 | 93 | 69 | 74 | 78 | 81 | 66 | 60 | 69 | 68 | 65 | 67 | 64 | 64 | 0 | 28 | 77 | 24 | 2,300,000$/1yrs | |||
![]() | 0 | D | 76.00 | 82 | 59 | 65 | 56 | 90 | 80 | 84 | 63 | 30 | 62 | 59 | 84 | 61 | 75 | 71 | 0 | 17 | 79 | 29 | 1,750,000$/2yrs | |||
TEAM AVERAGE | 98.05 | 69 | 37 | 82 | 68 | 79 | 83 | 85 | 69 | 52 | 71 | 68 | 74 | 69 | 72 | 71 | 0 | 29 | 81 |
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 | 100.00 | 78 | 76 | 72 | 91 | 76 | 74 | 79 | 84 | 77 | 85 | 79 | 69 | 73 | 0 | 37 | 83 | 26 | 2,350,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 92.00 | 82 | 89 | 78 | 87 | 88 | 84 | 88 | 91 | 89 | 92 | 88 | 69 | 74 | 0 | 18 | 89 | 26 | 4,500,000$/4yrs |
TEAM AVERAGE | 96.00 | 80 | 83 | 75 | 89 | 82 | 79 | 84 | 88 | 83 | 89 | 84 | 69 | 74 | 0 | 28 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 83 | 74 | 95 | 83 | 99 | 92 | 74 | CAN | 67 | 1 | 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 | Andrew Peeke | 0 | D | 25 | 4 | 10 | 14 | -5 | 41 | 5 | 64 | 26 | 8 | 9 | 15.38% | 45 | 20.27 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 65 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
2 | Jonas Siegenthaler | 0 | D | 25 | 2 | 10 | 12 | -14 | 16 | 0 | 49 | 35 | 8 | 21 | 5.71% | 34 | 23.51 | 1 | 2 | 3 | 80 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
3 | Joel Farabee | 0 | LW/RW | 25 | 6 | 6 | 12 | -9 | 12 | 10 | 21 | 60 | 22 | 50 | 10.00% | 4 | 19.05 | 2 | 2 | 4 | 79 | 0 | 0 | 0 | 43 | 1 | 0 | 52.00% | 50 | 0 | 0 | 0 | 0 | 0.50 | 0 | 1 | |
4 | Lucas Raymond | 0 | LW/RW | 25 | 3 | 8 | 11 | -10 | 6 | 0 | 15 | 78 | 30 | 48 | 3.85% | 1 | 19.81 | 1 | 1 | 2 | 77 | 0 | 0 | 0 | 0 | 0 | 0 | 28.00% | 50 | 0 | 0 | 0 | 0 | 0.44 | 0 | 2 | |
5 | Michael Rasmussen | 0 | C/LW | 25 | 6 | 4 | 10 | -9 | 10 | 0 | 62 | 52 | 12 | 30 | 11.54% | 2 | 15.77 | 1 | 0 | 1 | 16 | 1 | 0 | 1 | 16 | 1 | 0 | 54.55% | 55 | 0 | 0 | 0 | 0 | 0.51 | 1 | 2 | |
6 | Dmitry Kulikov | 0 | D | 25 | 5 | 4 | 9 | -18 | 18 | 0 | 47 | 36 | 20 | 25 | 13.89% | 35 | 24.53 | 1 | 3 | 4 | 79 | 0 | 0 | 0 | 71 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
7 | Jaden Schwartz | 0 | LW | 25 | 5 | 4 | 9 | -11 | 6 | 0 | 30 | 55 | 17 | 50 | 9.09% | 5 | 22.56 | 2 | 2 | 4 | 68 | 0 | 0 | 0 | 87 | 1 | 1 | 40.58% | 207 | 0 | 0 | 0 | 0 | 0.32 | 0 | 1 | |
8 | Marco Scandella | 0 | D | 25 | 2 | 7 | 9 | -7 | 12 | 0 | 19 | 26 | 4 | 16 | 7.69% | 23 | 18.31 | 2 | 1 | 3 | 70 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
9 | Anthony Mantha | 0 | LW/RW | 25 | 4 | 4 | 8 | -4 | 9 | 5 | 32 | 39 | 14 | 26 | 10.26% | 1 | 11.56 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 9 | 0 | 0 | 36.67% | 30 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | |
10 | Yegor Sharangovich | 0 | C/LW | 25 | 3 | 5 | 8 | -4 | 4 | 0 | 9 | 68 | 18 | 28 | 4.41% | 9 | 16.11 | 1 | 1 | 2 | 38 | 0 | 0 | 0 | 87 | 1 | 0 | 39.88% | 341 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
11 | Ryan Strome | 0 | C/RW | 20 | 3 | 4 | 7 | -11 | 8 | 0 | 36 | 41 | 7 | 30 | 7.32% | 1 | 19.00 | 0 | 2 | 2 | 60 | 0 | 0 | 0 | 1 | 0 | 0 | 44.08% | 524 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
12 | Alec Martinez | 0 | D | 25 | 0 | 6 | 6 | -8 | 6 | 0 | 17 | 22 | 9 | 24 | 0.00% | 31 | 21.36 | 0 | 1 | 1 | 71 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
13 | Mike Hoffman | 0 | LW/RW | 25 | 3 | 3 | 6 | -4 | 4 | 0 | 13 | 25 | 9 | 21 | 12.00% | 2 | 10.49 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 15 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
14 | Sonny Milano | 0 | LW/RW | 25 | 2 | 3 | 5 | -6 | 0 | 0 | 11 | 22 | 9 | 21 | 9.09% | 2 | 10.51 | 0 | 0 | 0 | 73 | 0 | 0 | 0 | 0 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
15 | Filip Zadina | 0 | LW/RW | 10 | 1 | 3 | 4 | -1 | 2 | 0 | 3 | 9 | 1 | 8 | 11.11% | 2 | 10.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 70 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
16 | Luke Kunin | 0 | C/LW/RW | 25 | 1 | 3 | 4 | -7 | 21 | 5 | 43 | 41 | 4 | 16 | 2.44% | 1 | 10.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 42.48% | 306 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
17 | Josh Brown | 0 | D | 18 | 0 | 3 | 3 | -6 | 16 | 0 | 41 | 8 | 1 | 2 | 0.00% | 11 | 12.78 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
18 | Joel Armia | 0 | RW | 15 | 0 | 3 | 3 | -2 | 0 | 0 | 18 | 20 | 3 | 8 | 0.00% | 1 | 10.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.67% | 120 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
19 | Tyson Jost | 0 | C/LW | 19 | 1 | 2 | 3 | -4 | 2 | 0 | 4 | 16 | 5 | 10 | 6.25% | 1 | 7.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 48.76% | 121 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
20 | Pierre-Olivier Joseph | 0 | D | 7 | 0 | 2 | 2 | -1 | 2 | 0 | 7 | 0 | 2 | 2 | 0.00% | 2 | 12.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
Team Total or Average | 439 | 51 | 94 | 145 | -141 | 195 | 25 | 541 | 679 | 203 | 445 | 7.51% | 213 | 16.41 | 11 | 15 | 26 | 744 | 1 | 1 | 2 | 579 | 5 | 1 | 42.90% | 1902 | 0 | 0 | 0 | 0 | 0.40 | 1 | 6 |
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 | Ilya Samsonov | 24 | 7 | 15 | 1 | 0.894 | 3.38 | 1333 | 4 | 0 | 75 | 708 | 0 | 0 | 1 | 0.857 | 7 | 24 | 0 | 1 | 1 | 1 | |
2 | Mackenzie Blackwood | 5 | 0 | 1 | 1 | 0.888 | 3.00 | 180 | 0 | 0 | 9 | 80 | 0 | 0 | 0 | 0.000 | 0 | 1 | 24 | 0 | 0 | 0 | |
Team Total or Average | 29 | 7 | 16 | 2 | 0.893 | 3.33 | 1513 | 4 | 0 | 84 | 788 | 0 | 0 | 1 | 0.857 | 7 | 25 | 24 | 1 | 1 | 1 |
Projected Total Cap Hit | 62,437,719$ |
Projected Cap Space | 21,062,281$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 20,665,263$ |
Players In Salary Cap | 20 |
LTIR Players | 2 |
Wild Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Martinez | D | 36 | 5,250,000$ | 5,250,000$ | UFA | ||||||
Andrew Peeke | D | 25 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | ||||
Anthony Mantha | LW/RW | 29 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Dmitry Kulikov | D | 33 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Filip Zadina | LW/RW | 24 | 2,300,000$ | 2,300,000$ | |||||||
Ilya Samsonov ![]() ![]() | G | 26 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Jaden Schwartz | LW | 31 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Joel Armia | RW | 30 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Joel Farabee | LW/RW | 23 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Jonas Siegenthaler | D | 26 | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | ||
Josh Brown ![]() ![]() | D | 29 | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||||
Lucas Raymond ![]() | LW/RW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Luke Kunin | C/LW/RW | 26 | 2,750,000$ | 2,750,000$ | |||||||
Mackenzie Blackwood | G | 26 | 2,350,000$ | 2,350,000$ | 2,350,000$ | UFA | |||||
Marco Scandella | D | 33 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Michael Rasmussen ![]() | C/LW | 24 | 1,460,000$ | 1,460,000$ | |||||||
Mike Hoffman | LW/RW | 34 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Pierre-Olivier Joseph ![]() | D | 24 | 825,000$ | 825,000$ | |||||||
Ryan Strome | C/RW | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Sonny Milano | LW/RW | 27 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | UFA | ||||
Tyson Jost | C/LW | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||||
Yegor Sharangovich | C/LW | 25 | 2,600,000$ | 2,600,000$ | 2,600,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Turcotte ![]() | C | 22 | 894,167$ | 894,167$ | RFA | ||||||
Anttoni Honka ![]() | D | 23 | 836,667$ | 836,667$ | 836,667$ | ![]() | |||||
Buddy Robinson ![]() | RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Cooper Marody ![]() | C | 26 | 775,000$ | 775,000$ | UFA | ||||||
Daniil Chayka ![]() | D | 21 | 870,000$ | 870,000$ | RFA | ||||||
Dylan Guenther ![]() | RW | 20 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Evan Nause ![]() | D | 20 | 886,667$ | 886,667$ | 886,667$ | RFA | |||||
Grigori Denisenko ![]() | LW/RW | 23 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Henri Nikkanen ![]() | C | 22 | 859,167$ | 859,167$ | 859,167$ | ![]() | |||||
Jimmy Schuldt ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Josh Bloom ![]() | LW | 20 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Kyle Rau ![]() | C/LW | 31 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Logan Hutsko ![]() | C | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Lucas Condotta ![]() | LW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Magnus Chrona ![]() | G | 23 | 867,500$ | 867,500$ | 867,500$ | ![]() | |||||
Malcolm Subban ![]() | G | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Michael Eyssimont ![]() | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Michael Kesselring ![]() | D | 23 | 925,000$ | 925,000$ | ![]() | ||||||
Mitch Reinke ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Nils Lundkvist ![]() | D | 23 | 925,000$ | 925,000$ | RFA | ||||||
Oskar Olausson ![]() | LW/RW | 21 | 925,000$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Philippe Daoust ![]() | C | 22 | 821,667$ | 821,667$ | 821,667$ | ![]() | |||||
Raivis Ansons ![]() | C | 26 | 844,167$ | 844,167$ | 844,167$ | UFA | |||||
Rasmus Kupari ![]() | C/LW/RW | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ![]() | |||||
Roman Schmidt ![]() | D | 20 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Ryan O'Rourke ![]() | D | 21 | 855,833$ | 855,833$ | 855,833$ | RFA | |||||
Shane Pinto ![]() | C | 23 | 0$ | RFA | |||||||
Sheldon Rempal ![]() | RW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Strauss Mann ![]() | G | 25 | 842,500$ | 842,500$ | ![]() | ||||||
Thomas Gregoire ![]() | D | 25 | 775,000$ | 775,000$ | ![]() | ||||||
Vitali Kravtsov ![]() | LW/RW | 23 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Walker Duehr ![]() | RW | 26 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
William Villeneuve ![]() | D | 21 | 817,778$ | 817,778$ | 817,778$ | RFA | |||||
Yegor Chinakhov ![]() | LW/RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Zac Jones ![]() | D | 23 | 812,500$ | 812,500$ | 812,500$ | ![]() |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 26 | 7 | 10 | 9 | 0 | 29 | 7 | 2 | 16 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 24 | 16 | 23 | 6 | 11 | 5 | 20.0% | 3.8% | 86.2% | 90.1 | Unlucky | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 12 | 2 | 1 | 9 | 0 | 37 | 8 | 14 | 19 | 2 | 1 | 50.00% | 7 | 2 | 71.43% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 20 | 12 | 27 | 7 | 12 | 6 | 50.0% | 33.3% | 86.5% | 119.8 | FUN | |
3 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 8 | -5 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 48 | 17 | 15 | 16 | 0 | 55 | 19 | 16 | 39 | 6 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 41 | 28 | 53 | 15 | 25 | 11 | 33.3% | 6.3% | 85.5% | 91.7 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 0 | 0 | 25 | 9 | 12 | 4 | 0 | 42 | 8 | 10 | 21 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 21 | 15 | 26 | 6 | 11 | 5 | 60.0% | 16.0% | 92.9% | 108.9 | LUCKY | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 23 | 6 | 9 | 8 | 0 | 29 | 13 | 10 | 23 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 19 | 12 | 27 | 8 | 13 | 6 | 33.3% | 8.7% | 86.2% | 94.9 | Unlucky | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 40 | 12 | 19 | 9 | 0 | 23 | 3 | 8 | 21 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 26 | 17 | 21 | 7 | 12 | 6 | 25.0% | 5.0% | 87.0% | 92.0 | Unlucky | |
7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 1 | 3 | 0 | 49 | 18 | 9 | 22 | 0 | 51 | 22 | 8 | 44 | 8 | 2 | 25.00% | 2 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 47 | 32 | 45 | 15 | 26 | 13 | 18.2% | 8.2% | 82.4% | 90.5 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 23 | 7 | 8 | 8 | 0 | 32 | 10 | 16 | 19 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 20 | 14 | 27 | 8 | 12 | 5 | 75.0% | 17.4% | 96.9% | 114.3 | LUCKY | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 3 | 1 | 0 | 0 | 24 | 6 | 11 | 7 | 0 | 32 | 7 | 8 | 22 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 20 | 12 | 26 | 8 | 13 | 6 | 66.7% | 16.7% | 93.8% | 110.4 | LUCKY | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 9 | 6 | 14 | 0 | 39 | 10 | 10 | 18 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 22 | 15 | 26 | 7 | 11 | 4 | 20.0% | 3.4% | 89.7% | 93.2 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 24 | 9 | 5 | 10 | 0 | 33 | 9 | 11 | 25 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 21 | 14 | 25 | 6 | 12 | 6 | 66.7% | 16.7% | 93.9% | 110.6 | LUCKY | |
12 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 32 | 14 | 9 | 8 | 1 | 18 | 6 | 10 | 16 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 27 | 19 | 20 | 7 | 12 | 5 | 60.0% | 12.5% | 83.3% | 95.8 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 22 | 7 | 8 | 7 | 0 | 27 | 6 | 4 | 20 | 7 | 1 | 14.29% | 2 | 1 | 50.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 26 | 18 | 21 | 7 | 12 | 6 | 16.7% | 9.1% | 77.8% | 86.9 | FUN | |
14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 62 | 13 | 24 | 25 | 0 | 69 | 16 | 12 | 57 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 47 | 32 | 49 | 13 | 23 | 11 | 0.0% | 1.6% | 91.3% | 92.9 | DULL | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 36 | 7 | 11 | 15 | 7 | 41 | 11 | 10 | 24 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 21 | 14 | 29 | 8 | 13 | 6 | 33.3% | 2.8% | 95.1% | 97.9 | DULL | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 8 | 4 | 10 | 0 | 26 | 3 | 8 | 20 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 21 | 13 | 26 | 7 | 12 | 5 | 0.0% | 0.0% | 88.5% | 88.5 | Unlucky | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 35 | 15 | 7 | 13 | 0 | 35 | 7 | 6 | 17 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 23 | 16 | 22 | 7 | 13 | 6 | 25.0% | 2.9% | 91.4% | 94.3 | DULL | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 32 | 5 | 9 | 18 | 0 | 37 | 10 | 6 | 23 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 20 | 13 | 27 | 7 | 12 | 6 | 30.0% | 12.5% | 81.1% | 93.6 | FUN | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 21 | 10 | 7 | 4 | 0 | 34 | 9 | 6 | 26 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 19 | 12 | 26 | 7 | 13 | 6 | 33.3% | 4.8% | 91.2% | 95.9 | DULL | |
20 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 3 | 1 | 0 | 1 | 41 | 15 | 7 | 16 | 3 | 32 | 6 | 11 | 24 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 28 | 21 | 23 | 7 | 12 | 6 | 55.6% | 12.2% | 87.5% | 99.7 | FUN | |
21 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 4 | 8 | 0 | 0 | 0 | 2 | 1 | 1 | 72 | 25 | 17 | 30 | 3 | 68 | 22 | 12 | 44 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 1 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 48 | 32 | 51 | 15 | 25 | 12 | 57.1% | 5.6% | 94.1% | 99.7 | DULL | |
_Vs Division | 5 | 0 | 3 | 0 | 1 | 0 | 0 | 1 | 11 | 18 | -7 | 3 | 0.300 | 11 | 20 | 31 | 0 | 0 | 7 | 3 | 0 | 1 | 174 | 56 | 52 | 60 | 10 | 158 | 33 | 39 | 106 | 26 | 2 | 7.69% | 16 | 1 | 93.75% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 126 | 88 | 118 | 37 | 64 | 32 | 34.6% | 6.3% | 88.6% | 94.9 | Unlucky | |
_Vs Conference | 10 | 1 | 6 | 0 | 2 | 0 | 0 | 1 | 21 | 33 | -12 | 7 | 0.350 | 21 | 37 | 58 | 1 | 0 | 10 | 5 | 4 | 2 | 318 | 99 | 100 | 112 | 11 | 307 | 71 | 74 | 220 | 42 | 4 | 9.52% | 30 | 2 | 93.33% | 0 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 247 | 171 | 237 | 73 | 124 | 61 | 35.4% | 6.6% | 89.3% | 95.9 | Unlucky | |
_Since Last GM Reset | 25 | 4 | 16 | 0 | 2 | 1 | 1 | 1 | 56 | 86 | -30 | 16 | 0.320 | 56 | 97 | 153 | 1 | 0 | 17 | 19 | 17 | 3 | 698 | 221 | 208 | 262 | 14 | 789 | 212 | 198 | 538 | 85 | 11 | 12.94% | 82 | 12 | 85.37% | 1 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 570 | 386 | 630 | 188 | 314 | 151 | 37.8% | 8.0% | 89.1% | 97.1 | Unlucky | |
Total | 25 | 4 | 16 | 0 | 2 | 1 | 1 | 1 | 56 | 86 | -30 | 16 | 0.320 | 56 | 97 | 153 | 1 | 0 | 17 | 19 | 17 | 3 | 698 | 221 | 208 | 262 | 14 | 789 | 212 | 198 | 538 | 85 | 11 | 12.94% | 82 | 12 | 85.37% | 1 | 376 | 854 | 44.03% | 399 | 926 | 43.09% | 166 | 397 | 41.81% | 570 | 386 | 630 | 188 | 314 | 151 | 37.8% | 8.0% | 89.1% | 97.1 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 854 |
Neutral Zone Start | 397 |
Defensive Zone Start | 926 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 941 |
Faceoffs Lost | 1236 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.8 | 9.57 |
2nd Period | 17.2 | 20.31 |
3rd Period | 27.6 | 30.68 |
Overtime | 28.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.1 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 43 |
---|---|
PP Goal | 11 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 2 | 5 |
Lost | 8 | 8 |
Overtime Lost | 1 | 1 |
PP Attempt | 85 |
---|---|
PP Goal | 11 |
PK Attempt | 82 |
PK Goal Against | 12 |
Home | |
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Shots For | 27.9 |
Shots Against | 31.6 |
Goals For | 2.2 |
Goals Against | 3.4 |
Hits | 21.5 |
Shots Blocked | 8.5 |
Pim | 7.9 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-12 | @ | Panthers7,Wild4 | RECAP | |||||||||||
2023-10-14 | @ | Wild3,Maple Leafs2 (SO) | RECAP | |||||||||||
2023-10-17 | @ | Wild4,Canadiens2 | RECAP | |||||||||||
2023-10-19 | @ | Kings3,Wild4 (OT) | RECAP | |||||||||||
2023-10-21 | @ | Blue Jackets3,Wild1 | RECAP | |||||||||||
2023-10-24 | @ | Oilers3,Wild0 | RECAP | |||||||||||
2023-10-26 | @ | Wild4,Flyers5 | RECAP | |||||||||||
2023-10-27 | @ | Wild1,Capitals4 | RECAP | |||||||||||
2023-10-29 | @ | Wild2,Devils3 (OT) | RECAP | |||||||||||
2023-11-02 | @ | Devils5,Wild1 | RECAP | |||||||||||
2023-11-04 | @ | Rangers5,Wild1 | RECAP | |||||||||||
2023-11-07 | @ | Wild2,Islanders4 | RECAP | |||||||||||
2023-11-09 | @ | Wild3,Rangers4 | RECAP | |||||||||||
2023-11-10 | @ | Wild0,Sabres3 | RECAP | |||||||||||
2023-11-12 | @ | Stars4,Wild5 (OT) | RECAP | |||||||||||
2023-11-18 | @ | Wild4,Senators3 | RECAP | |||||||||||
2023-11-19 | @ | Maple Leafs2,Wild1 | RECAP | |||||||||||
2023-11-24 | @ | Avalanche3,Wild2 | RECAP | |||||||||||
2023-11-26 | @ | Wild4,Red Wings1 | RECAP | |||||||||||
2023-11-28 | @ | Blues2,Wild1 (SO) | RECAP | |||||||||||
2023-11-30 | @ | Wild2,Predators6 | RECAP | |||||||||||
2023-12-03 | @ | Blackhawks3,Wild1 | RECAP | |||||||||||
2023-12-05 | @ | Wild1,Flames4 | RECAP | |||||||||||
2023-12-07 | @ | Wild4,Canucks2 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
60,760,000$ | 0$ | 62,437,719$ | 22,740,000$ |
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 | 61523 | 51992 | 20266 | 41317 | 10305 |
Attendance PCT | 93.22% | 94.53% | 92.12% | 93.90% | 93.68% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
30 | 16855 - 93.64% | 1,485,802$ | 16,343,818$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
60,760,000$ | 60,760,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
20,977,746$ | 316,458$ | 20,665,263$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
44,574,049$ | 132 | 321,667$ | 42,460,044$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
44,827,944$ | 60,760,000$ | 69,549,113$ | 69,295,218$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Barrett Hall | 2022 | 152 | |||
Benjamin Gaudreau | 2021 | 44 | |||
Benton Maass | |||||
Charles-Alexis Legault | 2023 | 157 | |||
Etienne Morin | 2023 | 41 | |||
Jake Wise | |||||
Joe Miller | |||||
Niklas Nordgren | 7C | ||||
Noah Chadwick | 2023 | 191 | |||
Petr Hauser | 2022 | 136 | |||
Rasmus Kumpulainen | 2023 | 57 | |||
Rodwin Dionicio | 2023 | 143 | |||
Samuel Sjolund | 2019 | 122 | |||
Santeri Sulku | 2022 | 178 | |||
Sutter Muzzatti | 2023 | 167 |
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