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Full Scoreboard »» |
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Full Scoreboard »» |
Minnesota Wild 25-34-9, 59pts · 14th 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/RW | 99.00 | 89 | 44 | 75 | 76 | 87 | 84 | 86 | 75 | 59 | 70 | 81 | 86 | 78 | 68 | 66 | 0 | 24 | 87 | 25 | 2,750,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 70 | 32 | 88 | 74 | 70 | 86 | 80 | 74 | 62 | 77 | 75 | 68 | 74 | 77 | 86 | 0 | 36 | 84 | 30 | 6,000,000$/4yrs | |||
![]() | 0 | C/RW | 98.00 | 63 | 37 | 70 | 78 | 76 | 85 | 89 | 76 | 81 | 78 | 76 | 66 | 76 | 75 | 72 | 0 | 26 | 84 | 29 | 6,000,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 32 | 90 | 79 | 68 | 85 | 90 | 76 | 59 | 78 | 77 | 60 | 77 | 60 | 59 | 0 | 31 | 84 | 20 | 925,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 72 | 40 | 76 | 75 | 72 | 84 | 86 | 74 | 59 | 74 | 75 | 76 | 74 | 63 | 61 | 0 | 30 | 83 | 23 | 5,000,000$/6yrs | |||
![]() | 0 | LW/RW | 100.00 | 61 | 32 | 83 | 73 | 74 | 82 | 85 | 71 | 62 | 73 | 75 | 65 | 73 | 81 | 79 | 0 | 31 | 82 | 33 | 4,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 68 | 33 | 93 | 76 | 81 | 81 | 90 | 73 | 84 | 70 | 78 | 66 | 75 | 62 | 61 | 0 | 75 | 82 | 22 | 925,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 68 | 32 | 85 | 72 | 73 | 79 | 80 | 72 | 58 | 75 | 71 | 62 | 72 | 72 | 71 | 0 | 32 | 81 | 28 | 3,400,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 88 | 53 | 61 | 69 | 76 | 79 | 90 | 68 | 60 | 67 | 70 | 78 | 69 | 67 | 63 | 0 | 38 | 81 | 25 | 2,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 33 | 92 | 71 | 75 | 80 | 85 | 72 | 55 | 76 | 73 | 60 | 73 | 70 | 69 | 0 | 24 | 81 | 26 | 2,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 33 | 88 | 76 | 80 | 76 | 81 | 69 | 59 | 75 | 68 | 71 | 69 | 62 | 61 | 0 | 58 | 80 | 22 | 925,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 76 | 34 | 90 | 65 | 86 | 79 | 83 | 63 | 57 | 66 | 63 | 80 | 63 | 75 | 74 | 0 | 24 | 79 | 29 | 2,750,000$/2yrs | |||
![]() | 0 | D | 99.00 | 85 | 38 | 78 | 61 | 84 | 91 | 90 | 69 | 30 | 66 | 61 | 92 | 65 | 67 | 65 | 0 | 23 | 83 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 39 | 71 | 62 | 86 | 84 | 86 | 66 | 30 | 69 | 69 | 79 | 67 | 73 | 70 | 0 | 40 | 81 | 28 | 2,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 32 | 89 | 70 | 68 | 87 | 74 | 68 | 30 | 75 | 67 | 72 | 68 | 62 | 61 | 0 | 36 | 81 | 22 | 880,833$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 32 | 82 | 68 | 75 | 81 | 73 | 63 | 30 | 72 | 62 | 66 | 63 | 64 | 62 | 0 | 49 | 78 | 23 | 825,000$/2yrs | |||
![]() | 0 | D | 100.00 | 58 | 37 | 96 | 64 | 70 | 68 | 74 | 62 | 30 | 68 | 62 | 71 | 65 | 76 | 75 | 0 | 68 | 77 | 30 | 750,000$/1yrs | |||
![]() | 39 | D | 100.00 | 57 | 37 | 96 | 62 | 70 | 65 | 74 | 62 | 30 | 67 | 56 | 70 | 62 | 68 | 68 | 0 | 61 | 75 | 27 | 750,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 66 | 37 | 82 | 62 | 72 | 77 | 88 | 68 | 73 | 69 | 65 | 77 | 66 | 67 | 65 | 0 | 20 | 78 | 25 | 2,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 32 | 93 | 69 | 74 | 79 | 83 | 66 | 59 | 68 | 67 | 65 | 66 | 63 | 63 | 0 | 19 | 77 | 23 | 2,300,000$/2yrs | |||
![]() | 0 | D | 95.64 | 74 | 38 | 78 | 69 | 86 | 90 | 88 | 70 | 30 | 72 | 57 | 86 | 63 | 68 | 66 | 0 | 25 | 84 | 25 | 1,125,000$/1yrs | |||
TEAM AVERAGE | 99.57 | 70 | 36 | 84 | 70 | 76 | 81 | 84 | 69 | 52 | 72 | 69 | 72 | 69 | 69 | 67 | 0 | 37 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 85 | 87 | 77 | 87 | 85 | 81 | 86 | 89 | 85 | 90 | 86 | 69 | 73 | 0 | 23 | 88 | 26 | 3,000,000$/1yrs |
![]() | 0 | 98.00 | 74 | 76 | 73 | 91 | 76 | 76 | 78 | 85 | 78 | 86 | 78 | 69 | 73 | 0 | 20 | 83 | 26 | 3,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 80 | 82 | 75 | 89 | 81 | 79 | 82 | 87 | 82 | 88 | 82 | 69 | 73 | 0 | 22 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Boudreau | 83 | 74 | 95 | 83 | 99 | 92 | 74 | CAN | 66 | 2 | 1,000,000$ |
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 | Lawson Crouse | 0 | LW/RW | 69 | 19 | 28 | 47 | -9 | 80 | 10 | 214 | 231 | 72 | 211 | 8.23% | 28 | 20.16 | 3 | 10 | 13 | 194 | 0 | 0 | 0 | 103 | 3 | 2 | 38.89% | 198 | 0 | 0 | 0 | 0 | 0.68 | 2 | 6 | |
2 | Joel Farabee | 0 | LW/RW | 69 | 19 | 24 | 43 | -1 | 28 | 10 | 71 | 164 | 46 | 113 | 11.59% | 13 | 17.36 | 1 | 10 | 11 | 171 | 0 | 0 | 0 | 59 | 2 | 0 | 34.62% | 208 | 0 | 0 | 0 | 1 | 0.72 | 2 | 5 | |
3 | Lucas Raymond | 0 | LW/RW | 68 | 20 | 16 | 36 | -6 | 10 | 0 | 37 | 177 | 39 | 128 | 11.30% | 8 | 18.79 | 3 | 6 | 9 | 214 | 0 | 0 | 0 | 0 | 5 | 0 | 36.78% | 87 | 0 | 0 | 0 | 0 | 0.56 | 2 | 5 | |
4 | Ryan Strome | 0 | C/RW | 68 | 15 | 17 | 32 | 1 | 12 | 0 | 51 | 153 | 43 | 108 | 9.80% | 5 | 19.80 | 6 | 8 | 14 | 207 | 0 | 0 | 0 | 102 | 1 | 3 | 51.41% | 1671 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
5 | Jonas Siegenthaler | 0 | D | 68 | 7 | 23 | 30 | -10 | 35 | 5 | 98 | 82 | 30 | 45 | 8.54% | 118 | 22.66 | 2 | 4 | 6 | 146 | 0 | 0 | 0 | 197 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
6 | Andrew Peeke | 0 | D | 56 | 9 | 19 | 28 | -13 | 79 | 5 | 113 | 79 | 21 | 41 | 11.39% | 89 | 21.36 | 7 | 3 | 10 | 122 | 0 | 0 | 0 | 158 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
7 | Jaden Schwartz | 0 | LW | 69 | 9 | 11 | 20 | -2 | 6 | 0 | 28 | 107 | 35 | 101 | 8.41% | 7 | 13.63 | 0 | 1 | 1 | 54 | 0 | 0 | 0 | 86 | 0 | 0 | 46.75% | 77 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | |
8 | Yegor Chinakhov | 0 | LW/RW | 67 | 8 | 11 | 19 | -4 | 18 | 0 | 42 | 83 | 25 | 55 | 9.64% | 4 | 12.26 | 2 | 1 | 3 | 26 | 0 | 0 | 0 | 0 | 2 | 0 | 38.71% | 124 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
9 | Luke Kunin | 0 | C/LW/RW | 69 | 10 | 8 | 18 | 0 | 79 | 5 | 148 | 112 | 23 | 55 | 8.93% | 10 | 12.30 | 0 | 0 | 0 | 17 | 0 | 0 | 0 | 168 | 0 | 0 | 44.23% | 104 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
10 | Carson Soucy | 0 | D | 70 | 4 | 13 | 17 | 5 | 62 | 0 | 131 | 48 | 16 | 25 | 8.33% | 67 | 17.12 | 1 | 1 | 2 | 71 | 0 | 0 | 0 | 146 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
11 | Mike Hoffman | 0 | LW/RW | 69 | 9 | 8 | 17 | -7 | 12 | 0 | 38 | 73 | 16 | 54 | 12.33% | 4 | 9.51 | 0 | 2 | 2 | 33 | 0 | 0 | 0 | 0 | 0 | 0 | 43.64% | 55 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
12 | Shane Pinto | 0 | C | 59 | 3 | 13 | 16 | 3 | 4 | 0 | 4 | 69 | 20 | 46 | 4.35% | 2 | 10.73 | 1 | 2 | 3 | 101 | 0 | 0 | 0 | 8 | 2 | 0 | 52.50% | 720 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | |
13 | Andreas Johnsson | 0 | LW | 59 | 6 | 9 | 15 | 5 | 10 | 0 | 29 | 61 | 11 | 36 | 9.84% | 2 | 8.46 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 49 | 1 | 1 | 43.42% | 76 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
14 | Sonny Milano | 0 | LW/RW | 57 | 3 | 7 | 10 | 0 | 10 | 0 | 19 | 46 | 13 | 17 | 6.52% | 4 | 8.73 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 1 | 0 | 45.51% | 312 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
15 | Cam York | 0 | D | 25 | 2 | 8 | 10 | 5 | 6 | 0 | 23 | 20 | 4 | 14 | 10.00% | 25 | 19.17 | 0 | 1 | 1 | 36 | 0 | 0 | 0 | 50 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | |
16 | Joel Armia | 0 | RW | 47 | 4 | 3 | 7 | -4 | 4 | 0 | 23 | 37 | 10 | 18 | 10.81% | 9 | 9.79 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 57 | 0 | 0 | 42.28% | 272 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
17 | Pierre-Olivier Joseph | 0 | D | 24 | 1 | 6 | 7 | -2 | 14 | 0 | 26 | 10 | 4 | 5 | 10.00% | 25 | 16.04 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 29 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
18 | Tyson Jost | 0 | C/LW | 37 | 3 | 3 | 6 | -4 | 8 | 0 | 23 | 42 | 9 | 22 | 7.14% | 5 | 11.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0 | 0 | 44.12% | 170 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
19 | Filip Zadina | 0 | LW/RW | 28 | 2 | 1 | 3 | -3 | 4 | 0 | 9 | 20 | 5 | 14 | 10.00% | 0 | 8.08 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 1 | 29.41% | 17 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
20 | Ethan Prow | 0 | D | 20 | 0 | 2 | 2 | 0 | 2 | 0 | 7 | 5 | 3 | 6 | 0.00% | 10 | 15.00 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
21 | Mitch Reinke | 39 | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 0 | 14.18 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1099 | 153 | 230 | 383 | -45 | 483 | 35 | 1137 | 1619 | 445 | 1114 | 9.45% | 435 | 14.85 | 26 | 49 | 75 | 1468 | 0 | 0 | 0 | 1274 | 18 | 10 | 47.47% | 4091 | 0 | 0 | 0 | 1 | 0.47 | 6 | 16 |
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 | 41 | 14 | 18 | 5 | 0.904 | 2.80 | 2163 | 2 | 2 | 101 | 1048 | 0 | 0 | 0 | 0.818 | 11 | 37 | 30 | 4 | 4 | 1 | |
2 | Mackenzie Blackwood | 27 | 9 | 9 | 2 | 0.907 | 2.89 | 1329 | 0 | 0 | 64 | 685 | 0 | 0 | 1 | 1.000 | 3 | 20 | 46 | 2 | 2 | 1 | |
Team Total or Average | 68 | 23 | 27 | 7 | 0.905 | 2.84 | 3492 | 2 | 2 | 165 | 1733 | 0 | 0 | 1 | 0.857 | 14 | 57 | 76 | 6 | 6 | 2 |
Projected Total Cap Hit | 66,846,354$ |
Projected Cap Space | 15,653,646$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 60,249,093$ |
Players In Salary Cap | 18 |
LTIR Players | 5 |
Wild Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andreas Johnsson | LW | 28 | 3,400,000$ | 3,400,000$ | UFA | ||||||
Andrew Peeke ![]() | D | 25 | 1,000,000$ | 1,000,000$ | |||||||
Cam York ![]() | D | 22 | 880,833$ | 880,833$ | RFA | ||||||
Carson Soucy | D | 28 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Ethan Prow ![]() | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
Filip Zadina | LW/RW | 23 | 2,300,000$ | 2,300,000$ | 2,300,000$ | RFA | |||||
Ilya Samsonov ![]() | G | 26 | 3,000,000$ | 3,000,000$ | |||||||
Jaden Schwartz | LW | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Joel Armia | RW | 29 | 2,750,000$ | 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$ | 5,000,000$ | UFA | |
Jonas Siegenthaler ![]() ![]() | D | 25 | 1,125,000$ | 1,125,000$ | |||||||
Lawson Crouse | LW/RW | 25 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Lucas Raymond ![]() | LW/RW | 20 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Luke Kunin | C/LW/RW | 25 | 2,000,000$ | 2,000,000$ | |||||||
Mackenzie Blackwood ![]() | G | 26 | 3,000,000$ | 3,000,000$ | |||||||
Mike Hoffman | LW/RW | 33 | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||||
Mitch Reinke ![]() ![]() | D | 27 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Pierre-Olivier Joseph ![]() | D | 23 | 825,000$ | 825,000$ | 825,000$ | ||||||
Ryan Strome | C/RW | 29 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | |||
Shane Pinto ![]() | C | 22 | 925,000$ | 925,000$ | RFA | ||||||
Sonny Milano ![]() | LW/RW | 26 | 2,000,000$ | 2,000,000$ | |||||||
Tyson Jost | C/LW | 25 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | |||||
Yegor Chinakhov ![]() | LW/RW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Luchuk ![]() | C | 25 | 800,000$ | 800,000$ | ![]() | ||||||
Alex Newhook ![]() ![]() | C/LW/RW | 22 | 908,333$ | 908,333$ | RFA | ||||||
Alex Turcotte ![]() ![]() | C | 22 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Benoit-Olivier Groulx ![]() ![]() | C/LW | 23 | 822,500$ | 822,500$ | RFA | ||||||
Brett Kemp ![]() | C | 22 | 750,000$ | 750,000$ | RFA | ||||||
Buddy Robinson ![]() | RW | 31 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Collin Adams ![]() | LW | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Cooper Marody ![]() ![]() | C | 26 | 1,000,000$ | 1,000,000$ | ![]() | ||||||
Daniil Chayka ![]() | D | 20 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Evan Nause ![]() | D | 20 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Grant Mismash ![]() | LW | 24 | 842,500$ | 842,500$ | RFA | ||||||
Grigori Denisenko ![]() ![]() | LW/RW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Henri Nikkanen ![]() | C | 21 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Jimmy Schuldt ![]() | D | 27 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Josh Bloom ![]() | LW | 19 | 859,167$ | 859,167$ | 859,167$ | 859,167$ | RFA | ||||
Keaton Thompson ![]() | D | 27 | 750,000$ | 750,000$ | ![]() | ||||||
Kyle Rau ![]() | C/LW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Logan Hutsko ![]() ![]() | C | 26 | 867,500$ | 867,500$ | ![]() | ||||||
Lucas Condotta ![]() | LW | 25 | 830,000$ | 830,000$ | ![]() | ||||||
Malcolm Subban ![]() ![]() | G | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Michael Eyssimont ![]() | C | 26 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Michael Kesselring ![]() | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Oscar Dansk ![]() | G | 29 | 750,000$ | 750,000$ | UFA | ||||||
Otto Somppi ![]() | C | 25 | 900,000$ | 900,000$ | ![]() | ||||||
Patrick Curry ![]() | C/LW/RW | 27 | 925,000$ | 925,000$ | ![]() | ||||||
Philippe Daoust ![]() | C | 21 | 750,000$ | 750,000$ | RFA | ||||||
Raivis Ansons ![]() | C | 25 | 844,167$ | 844,167$ | 844,167$ | 844,167$ | ![]() | ||||
Rasmus Kupari ![]() | C/LW/RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Roman Schmidt ![]() | D | 20 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | RFA | ||||
Shane Starrett ![]() | G | 28 | 750,000$ | 750,000$ | UFA | ||||||
Sheldon Rempal ![]() ![]() | RW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Strauss Mann ![]() ![]() | G | 24 | 842,500$ | 842,500$ | 842,500$ | ![]() | |||||
Thomas Gregoire ![]() | D | 24 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Vitali Kravtsov ![]() | LW/RW | 23 | 875,000$ | 875,000$ | RFA | ||||||
Walker Duehr ![]() | RW | 25 | 827,500$ | 827,500$ | ![]() | ||||||
William Villeneuve ![]() | D | 21 | 817,778$ | 817,778$ | 817,778$ | 817,778$ | RFA | ||||
Zac Jones ![]() | D | 22 | 925,000$ | 925,000$ | 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 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 9 | 11 | -2 | 3 | 0.500 | 9 | 15 | 24 | 0 | 0 | 4 | 2 | 2 | 1 | 92 | 30 | 25 | 32 | 8 | 91 | 31 | 30 | 59 | 10 | 1 | 10.00% | 15 | 3 | 80.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 68 | 46 | 82 | 22 | 37 | 17 | 50.0% | 9.8% | 87.9% | 97.7 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 30 | 10 | 10 | 10 | 0 | 26 | 8 | 14 | 20 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 24 | 15 | 23 | 7 | 12 | 6 | 20.0% | 3.3% | 80.8% | 84.1 | Unlucky | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 37 | 12 | 14 | 11 | 0 | 16 | 10 | 6 | 32 | 5 | 2 | 40.00% | 3 | 2 | 33.33% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 23 | 16 | 24 | 7 | 12 | 5 | 100.0% | 13.5% | 87.5% | 101.0 | FUN | |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 5 | 3 | 1 | 0 | 75 | 38 | 17 | 20 | 0 | 53 | 14 | 10 | 37 | 8 | 4 | 50.00% | 5 | 1 | 80.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 53 | 40 | 42 | 13 | 23 | 11 | 62.5% | 12.0% | 92.5% | 104.5 | LUCKY | |
5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 1 | 3 | 4 | 0 | 48 | 15 | 20 | 13 | 0 | 56 | 18 | 10 | 37 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 41 | 26 | 52 | 15 | 26 | 13 | 87.5% | 16.7% | 96.4% | 113.1 | LUCKY | |
6 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 1 | 1 | 1 | 1 | 53 | 22 | 11 | 17 | 3 | 81 | 17 | 28 | 30 | 3 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 47 | 32 | 50 | 13 | 24 | 11 | 57.1% | 7.5% | 93.8% | 101.4 | DULL | |
7 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 5 | -3 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 46 | 16 | 17 | 11 | 5 | 47 | 15 | 18 | 38 | 2 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 50 | 35 | 48 | 14 | 26 | 13 | 33.3% | 4.3% | 89.4% | 93.7 | Unlucky | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 6 | 10 | 0 | 0 | 1 | 1 | 1 | 1 | 54 | 15 | 22 | 13 | 6 | 46 | 13 | 14 | 45 | 7 | 2 | 28.57% | 7 | 0 | 100.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 47 | 30 | 48 | 15 | 28 | 14 | 50.0% | 7.4% | 95.7% | 103.1 | DULL | |
9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 64 | 21 | 22 | 21 | 0 | 71 | 18 | 12 | 35 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 49 | 35 | 47 | 13 | 23 | 11 | 36.4% | 7.8% | 88.7% | 96.5 | Unlucky | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 3 | 1 | 0 | 69 | 19 | 27 | 23 | 0 | 51 | 21 | 18 | 37 | 9 | 2 | 22.22% | 9 | 1 | 88.89% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 45 | 31 | 50 | 14 | 24 | 11 | 50.0% | 7.2% | 92.2% | 99.4 | DULL | |
11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 23 | 8 | 6 | 9 | 0 | 34 | 4 | 21 | 11 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 24 | 17 | 24 | 7 | 11 | 5 | 50.0% | 4.3% | 94.1% | 98.5 | DULL | |
12 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 3 | 4 | 0 | 0 | 85 | 33 | 33 | 19 | 0 | 97 | 17 | 18 | 62 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 66 | 45 | 73 | 22 | 39 | 19 | 30.0% | 8.2% | 84.5% | 92.8 | Unlucky | |
13 | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 6 | 5 | 1 | 4 | 0.667 | 6 | 8 | 14 | 0 | 0 | 3 | 0 | 1 | 3 | 87 | 32 | 19 | 30 | 10 | 76 | 33 | 35 | 49 | 8 | 1 | 12.50% | 9 | 1 | 88.89% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 74 | 52 | 73 | 22 | 38 | 18 | 55.6% | 6.9% | 93.4% | 100.3 | DULL | |
14 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 3 | 1 | 3 | 0 | 69 | 19 | 21 | 29 | 0 | 70 | 7 | 14 | 41 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 49 | 34 | 44 | 14 | 25 | 13 | 62.5% | 10.1% | 94.3% | 104.4 | LUCKY | |
15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 0 | 0 | 64 | 24 | 24 | 16 | 0 | 55 | 13 | 14 | 37 | 12 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 47 | 32 | 46 | 16 | 26 | 12 | 42.9% | 4.7% | 90.9% | 95.6 | Unlucky | |
16 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 13 | 21 | 0 | 1 | 3 | 3 | 2 | 0 | 109 | 34 | 41 | 34 | 0 | 82 | 23 | 18 | 51 | 11 | 1 | 9.09% | 7 | 0 | 100.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 75 | 53 | 68 | 22 | 36 | 17 | 46.7% | 7.3% | 90.2% | 97.6 | Unlucky | |
17 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 2 | 2 | 3 | 1 | 65 | 18 | 25 | 21 | 1 | 110 | 33 | 26 | 63 | 8 | 1 | 12.50% | 13 | 1 | 92.31% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 63 | 43 | 78 | 23 | 38 | 18 | 50.0% | 12.3% | 92.7% | 105.0 | LUCKY | |
18 | 4 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 5 | 8 | -3 | 2 | 0.250 | 5 | 7 | 12 | 0 | 0 | 1 | 3 | 0 | 1 | 106 | 34 | 37 | 32 | 6 | 122 | 40 | 41 | 84 | 8 | 0 | 0.00% | 16 | 1 | 93.75% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 89 | 60 | 106 | 29 | 49 | 22 | 41.7% | 4.7% | 93.4% | 98.2 | DULL | |
19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 26 | 10 | 6 | 10 | 0 | 33 | 11 | 8 | 21 | 3 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 22 | 16 | 25 | 8 | 11 | 5 | 50.0% | 7.7% | 87.9% | 95.6 | Unlucky | |
20 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 62 | 17 | 19 | 26 | 0 | 45 | 17 | 10 | 37 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 44 | 30 | 49 | 15 | 26 | 13 | 33.3% | 6.5% | 86.7% | 93.1 | Unlucky | |
21 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 55 | 9 | 25 | 21 | 0 | 33 | 13 | 10 | 59 | 8 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 52 | 36 | 42 | 14 | 25 | 13 | 50.0% | 5.5% | 84.8% | 90.3 | Unlucky | |
22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 52 | 12 | 25 | 15 | 0 | 75 | 18 | 18 | 44 | 6 | 1 | 16.67% | 9 | 0 | 100.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 41 | 26 | 52 | 14 | 26 | 12 | 28.6% | 9.6% | 86.7% | 96.3 | FUN | |
23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 8 | 12 | 1 | 0 | 1 | 1 | 2 | 0 | 49 | 15 | 17 | 17 | 0 | 70 | 18 | 27 | 58 | 5 | 1 | 20.00% | 10 | 2 | 80.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 43 | 28 | 52 | 15 | 24 | 11 | 30.0% | 8.2% | 87.1% | 95.3 | Unlucky | |
24 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 4 | 1 | 0 | 107 | 34 | 36 | 37 | 0 | 72 | 25 | 22 | 60 | 15 | 2 | 13.33% | 11 | 2 | 81.82% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 71 | 47 | 70 | 22 | 39 | 20 | 50.0% | 6.5% | 90.3% | 96.8 | Unlucky | |
25 | 3 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 11 | 15 | -4 | 2 | 0.333 | 11 | 19 | 30 | 0 | 0 | 4 | 3 | 4 | 0 | 89 | 26 | 20 | 38 | 5 | 94 | 31 | 20 | 63 | 7 | 1 | 14.29% | 9 | 5 | 44.44% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 71 | 50 | 73 | 20 | 39 | 18 | 50.0% | 12.4% | 84.0% | 96.4 | FUN | |
26 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 0.500 | 9 | 17 | 26 | 0 | 0 | 5 | 2 | 2 | 0 | 104 | 37 | 37 | 30 | 0 | 109 | 38 | 53 | 77 | 17 | 3 | 17.65% | 24 | 3 | 87.50% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 91 | 60 | 94 | 30 | 53 | 26 | 46.2% | 8.7% | 90.8% | 99.5 | Unlucky | |
27 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 57 | 14 | 27 | 16 | 0 | 70 | 19 | 10 | 48 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 44 | 30 | 53 | 13 | 24 | 11 | 33.3% | 5.3% | 92.9% | 98.1 | DULL | |
28 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 1 | 1 | 1 | 0 | 46 | 15 | 18 | 13 | 0 | 22 | 2 | 4 | 22 | 8 | 1 | 12.50% | 2 | 0 | 100.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 26 | 19 | 21 | 7 | 12 | 6 | 33.3% | 6.5% | 81.8% | 88.3 | Unlucky | |
29 | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 12 | 7 | 5 | 5 | 0.833 | 12 | 20 | 32 | 0 | 0 | 7 | 1 | 3 | 1 | 92 | 25 | 30 | 33 | 8 | 68 | 24 | 20 | 57 | 9 | 2 | 22.22% | 10 | 2 | 80.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 77 | 55 | 68 | 22 | 39 | 20 | 66.7% | 13.0% | 89.7% | 102.7 | FUN | |
30 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 29 | 15 | 4 | 10 | 0 | 30 | 10 | 4 | 17 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 24 | 16 | 23 | 7 | 11 | 6 | 66.7% | 10.3% | 93.3% | 103.7 | LUCKY | |
31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 51 | 18 | 21 | 12 | 0 | 57 | 14 | 26 | 51 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 44 | 30 | 49 | 13 | 26 | 12 | 25.0% | 5.9% | 87.7% | 93.6 | Unlucky | |
_Vs Division | 20 | 6 | 10 | 0 | 1 | 1 | 1 | 1 | 41 | 47 | -6 | 18 | 0.450 | 41 | 73 | 114 | 0 | 0 | 15 | 14 | 10 | 2 | 552 | 167 | 198 | 181 | 12 | 563 | 171 | 184 | 422 | 65 | 8 | 12.31% | 84 | 11 | 86.90% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 468 | 318 | 486 | 149 | 258 | 127 | 47.8% | 7.4% | 91.7% | 99.1 | DULL | |
_Vs Conference | 41 | 10 | 19 | 0 | 3 | 4 | 3 | 2 | 100 | 117 | -17 | 38 | 0.463 | 100 | 174 | 274 | 0 | 1 | 39 | 30 | 25 | 7 | 1186 | 380 | 391 | 389 | 43 | 1158 | 354 | 355 | 831 | 127 | 17 | 13.39% | 146 | 25 | 82.88% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 970 | 668 | 998 | 301 | 527 | 259 | 47.4% | 8.4% | 89.9% | 98.3 | Unlucky | |
_Since Last GM Reset | 68 | 17 | 34 | 0 | 4 | 7 | 4 | 2 | 166 | 194 | -28 | 59 | 0.434 | 166 | 296 | 462 | 2 | 1 | 57 | 52 | 49 | 9 | 1995 | 647 | 676 | 639 | 52 | 1962 | 575 | 579 | 1382 | 226 | 34 | 15.04% | 243 | 41 | 83.13% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 1596 | 1100 | 1662 | 503 | 867 | 425 | 46.3% | 8.3% | 90.1% | 98.4 | Unlucky | |
Total | 68 | 17 | 34 | 0 | 4 | 7 | 4 | 2 | 166 | 194 | -28 | 59 | 0.434 | 166 | 296 | 462 | 2 | 1 | 57 | 52 | 49 | 9 | 1995 | 647 | 676 | 639 | 52 | 1962 | 575 | 579 | 1382 | 226 | 34 | 15.04% | 243 | 41 | 83.13% | 0 | 1209 | 2339 | 51.69% | 1157 | 2280 | 50.75% | 543 | 1012 | 53.66% | 1596 | 1100 | 1662 | 503 | 867 | 425 | 46.3% | 8.3% | 90.1% | 98.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 2339 |
Neutral Zone Start | 1012 |
Defensive Zone Start | 2280 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 2909 |
Faceoffs Lost | 2722 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 19.5 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 29.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 130 |
---|---|
PP Goal | 34 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 12 | 13 |
Lost | 18 | 16 |
Overtime Lost | 4 | 5 |
PP Attempt | 226 |
---|---|
PP Goal | 34 |
PK Attempt | 243 |
PK Goal Against | 41 |
Home | |
---|---|
Shots For | 29.3 |
Shots Against | 28.9 |
Goals For | 2.4 |
Goals Against | 2.9 |
Hits | 20.3 |
Shots Blocked | 8.5 |
Pim | 8.5 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-10-13 | @ | Rangers1,Wild2 (SO) | RECAP | |||||||||||
2022-10-15 | @ | Kings2,Wild1 | RECAP | |||||||||||
2022-10-17 | @ | Avalanche1,Wild0 (SO) | RECAP | |||||||||||
2022-10-20 | @ | Canucks6,Wild3 | RECAP | |||||||||||
2022-10-22 | @ | Wild2,Bruins4 | RECAP | |||||||||||
2022-10-25 | @ | Wild4,Canadiens1 | RECAP | |||||||||||
2022-10-27 | @ | Wild5,Senators2 | RECAP | |||||||||||
2022-10-29 | @ | Wild2,Red Wings4 | RECAP | |||||||||||
2022-10-30 | @ | Wild2,Blackhawks3 | RECAP | |||||||||||
2022-11-01 | @ | Canadiens3,Wild1 | RECAP | |||||||||||
2022-11-03 | @ | Kraken3,Wild2 | RECAP | |||||||||||
2022-11-08 | @ | Wild3,Kings2 (OT) | RECAP | |||||||||||
2022-11-09 | @ | Wild1,Ducks2 (OT) | RECAP | |||||||||||
2022-11-11 | @ | Wild1,Kraken4 | RECAP | |||||||||||
2022-11-13 | @ | Sharks1,Wild6 | RECAP | |||||||||||
2022-11-15 | @ | Wild4,Predators2 | RECAP | |||||||||||
2022-11-17 | @ | Penguins4,Wild3 (OT) | RECAP | |||||||||||
2022-11-19 | @ | Hurricanes3,Wild1 | RECAP | |||||||||||
2022-11-23 | @ | Jets2,Wild5 | RECAP | |||||||||||
2022-11-25 | @ | Maple Leafs2,Wild1 | RECAP | |||||||||||
2022-11-27 | @ | Coyotes1,Wild0 | RECAP | |||||||||||
2022-12-01 | @ | Oilers2,Wild4 | RECAP | |||||||||||
2022-12-03 | @ | Ducks7,Wild6 (OT) | RECAP | |||||||||||
2022-12-04 | @ | Wild1,Stars4 | RECAP | |||||||||||
2022-12-07 | @ | Wild4,Flames3 (SO) | RECAP | |||||||||||
2022-12-09 | @ | Wild2,Oilers0 | RECAP | |||||||||||
2022-12-10 | @ | Wild2,Canucks5 | RECAP | |||||||||||
2022-12-12 | @ | Oilers6,Wild2 | RECAP | |||||||||||
2022-12-14 | @ | Red Wings4,Wild3 | RECAP | |||||||||||
2022-12-16 | @ | Blackhawks2,Wild1 | RECAP | |||||||||||
2022-12-18 | @ | Senators2,Wild4 | RECAP | |||||||||||
2022-12-21 | @ | Wild4,Ducks6 | RECAP | |||||||||||
2022-12-22 | @ | Wild2,Sharks3 (SO) | RECAP | |||||||||||
2022-12-27 | @ | Wild1,Jets2 (OT) | RECAP | |||||||||||
2022-12-29 | @ | Stars3,Wild1 | RECAP | |||||||||||
2022-12-31 | @ | Wild1,Blues4 | RECAP | |||||||||||
2023-01-04 | @ | Lightning4,Wild3 | RECAP | |||||||||||
2023-01-07 | @ | Wild2,Sabres3 | RECAP | |||||||||||
2023-01-08 | @ | Blues3,Wild4 (OT) | RECAP | |||||||||||
2023-01-10 | @ | Wild2,Rangers1 | RECAP | |||||||||||
2023-01-12 | @ | Wild5,Islanders1 | RECAP | |||||||||||
2023-01-14 | @ | Coyotes4,Wild2 | RECAP | |||||||||||
2023-01-17 | @ | Wild1,Capitals2 (OT) | RECAP | |||||||||||
2023-01-19 | @ | Wild3,Hurricanes2 (OT) | RECAP | |||||||||||
2023-01-21 | @ | Wild3,Panthers5 | RECAP | |||||||||||
2023-01-24 | @ | Wild0,Lightning1 | RECAP | |||||||||||
2023-01-26 | @ | Flyers5,Wild1 | RECAP | |||||||||||
2023-01-28 | @ | Sabres3,Wild2 | RECAP | |||||||||||
2023-02-06 | @ | Wild1,Coyotes2 | RECAP | |||||||||||
2023-02-08 | @ | Wild3,Stars1 | RECAP | |||||||||||
2023-02-09 | @ | Golden Knights2,Wild3 | RECAP | |||||||||||
2023-02-11 | @ | Devils2,Wild5 | RECAP | |||||||||||
2023-02-13 | @ | Panthers5,Wild2 | RECAP | |||||||||||
2023-02-15 | @ | Avalanche4,Wild2 | RECAP | |||||||||||
2023-02-17 | @ | Stars2,Wild4 | RECAP | |||||||||||
2023-02-19 | @ | Predators2,Wild3 | RECAP | |||||||||||
2023-02-21 | @ | Kings1,Wild2 (SO) | RECAP | |||||||||||
2023-02-23 | @ | Wild2,Blue Jackets5 | RECAP | |||||||||||
2023-02-24 | @ | Wild2,Maple Leafs3 (OT) | RECAP | |||||||||||
2023-02-26 | @ | Blue Jackets4,Wild2 | RECAP | |||||||||||
2023-02-28 | @ | Islanders1,Wild3 | RECAP | |||||||||||
2023-03-02 | @ | Wild2,Canucks4 | RECAP | |||||||||||
2023-03-04 | @ | Wild1,Flames3 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2023-03-07 | @ | Flames5,Wild4 (OT) | RECAP | |||||||||||
2023-03-08 | @ | Wild1,Jets3 | RECAP | |||||||||||
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2023-03-12 | @ | Wild2,Coyotes1 (SO) | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
56,055,833$ | 0$ | 66,846,354$ | 26,444,167$ |
Arena | Goal Horn | About us | |
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![]() | 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 | 192934 | 160215 | 64030 | 128246 | 32129 |
Attendance PCT | 94.58% | 94.24% | 94.16% | 94.30% | 94.50% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 16987 - 94.37% | 1,499,239$ | 50,974,124$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
56,055,833$ | 56,055,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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62,397,449$ | 244,343$ | 60,249,093$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,494,673$ | 27 | 301,883$ | 8,150,841$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
8,540,821$ | 56,055,833$ | 73,132,708$ | 75,086,560$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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2023 | |||||||
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Priority | Type | Description |
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Barrett Hall | 2022 | 152 | |||
Benton Maass | |||||
Jake Wise | |||||
Joe Miller | |||||
Niklas Nordgren | 7C | ||||
Petr Hauser | 2022 | 136 | |||
Samuel Sjolund | 2019 | 122 | |||
Santeri Sulku | 2022 | 178 |
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