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Full Scoreboard »» |
Minnesota Wild 10-8-2, 22pts · 8th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 99.00 | 69 | 42 | 86 | 90 | 66 | 84 | 82 | 94 | 25 | 97 | 86 | 61 | 25 | 76 | 83 | 83 | 50 | 0 | 29 | 9,500,000$/5yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 43 | 92 | 79 | 72 | 61 | 85 | 75 | 25 | 72 | 74 | 57 | 53 | 59 | 60 | 72 | 50 | 0 | 21 | 894,167$/2yrs | |||
![]() | 0 | C | 100.00 | 65 | 42 | 91 | 85 | 73 | 80 | 98 | 77 | 84 | 75 | 70 | 86 | 66 | 76 | 76 | 76 | 50 | 0 | 28 | 4,500,000$/2yrs | |||
![]() | 0 | C | 100.00 | 77 | 44 | 93 | 88 | 72 | 79 | 98 | 80 | 97 | 84 | 79 | 79 | 41 | 78 | 79 | 81 | 50 | 0 | 27 | 4,850,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 67 | 42 | 87 | 86 | 71 | 68 | 56 | 75 | 34 | 65 | 90 | 62 | 53 | 66 | 66 | 77 | 50 | 0 | 26 | 5,250,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 43 | 85 | 88 | 65 | 75 | 99 | 76 | 35 | 76 | 72 | 71 | 25 | 69 | 70 | 76 | 50 | 0 | 26 | 5,800,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 77 | 68 | 85 | 81 | 68 | 53 | 56 | 71 | 79 | 73 | 63 | 79 | 42 | 70 | 70 | 55 | 50 | 0 | 28 | 3,600,000$/1yrs | |||
![]() | 0 | C | 100.00 | 75 | 43 | 90 | 85 | 63 | 73 | 97 | 76 | 80 | 76 | 74 | 65 | 53 | 60 | 60 | 75 | 50 | 0 | 23 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 86 | 45 | 87 | 77 | 72 | 65 | 82 | 62 | 89 | 64 | 72 | 87 | 25 | 68 | 70 | 74 | 50 | 0 | 32 | 1,300,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 43 | 85 | 75 | 68 | 65 | 81 | 60 | 85 | 65 | 57 | 85 | 25 | 65 | 66 | 67 | 50 | 0 | 28 | 2,200,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 88 | 58 | 82 | 79 | 70 | 63 | 97 | 71 | 62 | 65 | 72 | 66 | 79 | 62 | 65 | 72 | 50 | 0 | 26 | 1,125,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 54 | 91 | 93 | 64 | 70 | 70 | 83 | 44 | 85 | 78 | 62 | 25 | 70 | 72 | 77 | 50 | 0 | 26 | 6,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 79 | 54 | 80 | 85 | 73 | 89 | 94 | 83 | 25 | 76 | 60 | 72 | 25 | 67 | 67 | 73 | 50 | 0 | 25 | 4,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 89 | 81 | 76 | 80 | 99 | 73 | 25 | 61 | 48 | 80 | 25 | 94 | 99 | 66 | 50 | 0 | 37 | 3,650,000$/3yrs | |||
![]() | 0 | D | 100.00 | 86 | 60 | 73 | 80 | 90 | 76 | 95 | 61 | 25 | 48 | 60 | 78 | 25 | 71 | 72 | 67 | 50 | 0 | 27 | 3,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 84 | 90 | 74 | 93 | 91 | 89 | 25 | 75 | 66 | 75 | 53 | 79 | 83 | 76 | 50 | 0 | 32 | 9,059,000$/6yrs | |||
![]() | 0 | D | 100.00 | 83 | 44 | 89 | 80 | 67 | 84 | 85 | 63 | 25 | 49 | 48 | 94 | 25 | 64 | 64 | 66 | 53 | 0 | 24 | 3,250,000$/4yrs | |||
![]() | 0 | D | 100.00 | 71 | 43 | 85 | 82 | 70 | 81 | 98 | 64 | 25 | 54 | 50 | 85 | 25 | 68 | 68 | 65 | 50 | 0 | 26 | 4,675,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 63 | 42 | 88 | 72 | 78 | 67 | 58 | 58 | 77 | 66 | 71 | 82 | 48 | 96 | 99 | 71 | 50 | 0 | 37 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 80 | 57 | 85 | 77 | 83 | 56 | 63 | 58 | 44 | 60 | 70 | 61 | 25 | 69 | 70 | 67 | 50 | 0 | 29 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 82 | 45 | 92 | 77 | 75 | 56 | 67 | 60 | 44 | 62 | 60 | 69 | 25 | 66 | 66 | 66 | 50 | 0 | 30 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 77 | 76 | 63 | 77 | 62 | 67 | 46 | 25 | 36 | 40 | 62 | 38 | 46 | 46 | 51 | 50 | 0 | 25 | 750,000$/1yrs | |||
TEAM AVERAGE | 99.95 | 76 | 49 | 86 | 82 | 72 | 72 | 83 | 71 | 49 | 67 | 66 | 74 | 38 | 70 | 71 | 71 | 50 | 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 | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 66 | 53 | 52 | 81 | 65 | 67 | 92 | 67 | 79 | 67 | 75 | 46 | 47 | 69 | 50 | 0 | 23 | 842,500$/1yrs |
![]() | 0 | 100.00 | 90 | 87 | 83 | 66 | 90 | 89 | 85 | 88 | 89 | 90 | 75 | 59 | 60 | 88 | 50 | 0 | 27 | 4,000,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 78 | 70 | 68 | 74 | 78 | 78 | 89 | 78 | 84 | 79 | 75 | 53 | 54 | 79 | 50 | 0 |
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 | 100.00 | 78 | 87 | 68 | 70 | 80 | 67 | 80 | 68 | 51 | 63 | 66 | 67 | 53 | 63 | 63 | 68 | 60 | 0 | 23 | 2,037,500$/1yrs | |||
![]() | 0 | C | 100.00 | 89 | 99 | 58 | 72 | 86 | 53 | 93 | 62 | 90 | 56 | 60 | 74 | 25 | 51 | 51 | 66 | 60 | 0 | 23 | 821,667$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 70 | 62 | 90 | 67 | 62 | 75 | 79 | 60 | 75 | 58 | 58 | 61 | 55 | 44 | 44 | 62 | 60 | 0 | 23 | 807,500$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 91 | 70 | 64 | 68 | 83 | 60 | 25 | 45 | 48 | 70 | 75 | 47 | 47 | 59 | 60 | 0 | 21 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 95 | 68 | 67 | 62 | 80 | 65 | 25 | 63 | 47 | 69 | 25 | 46 | 46 | 61 | 60 | 0 | 22 | 756,667$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 42 | 85 | 83 | 66 | 69 | 85 | 66 | 25 | 56 | 48 | 80 | 25 | 62 | 62 | 64 | 60 | 0 | 23 | 900,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | D | 100.00 | 70 | 71 | 68 | 67 | 71 | 73 | 79 | 53 | 25 | 48 | 41 | 62 | 39 | 55 | 55 | 54 | 23 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 73 | 81 | 78 | 73 | 45 | 47 | 53 | 59 | 45 | 45 | 76 | 37 | 60 | 61 | 51 | 23 | 0 | 29 | 2,500,000$/3yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 67 | 54 | 68 | 57 | 70 | 72 | 70 | 75 | 76 | 75 | 30 | 44 | 44 | 69 | 60 | 0 | 21 | 825,000$/2yrs | ||||||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 54 | 55 | 80 | 65 | 54 | 83 | 61 | 65 | 60 | 78 | 60 | 61 | 63 | 23 | 0 | 32 | 750,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Carl Beausoleil |
---|
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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nikita Kucherov | 0 | RW | 20 | 12 | 12 | 24 | -4 | 18 | 0 | 32 | 84 | 32 | 63 | 14.29% | 14 | 25.03 | 4 | 5 | 9 | 52 | 0 | 0 | 0 | 45 | 2 | 0 | 25.41% | 122 | 26 | 13 | 0 | 0 | 0.96 | 0 | 3 | ||
2 | Elias Lindholm | 0 | C | 20 | 6 | 15 | 21 | -1 | 4 | 0 | 24 | 69 | 24 | 46 | 8.70% | 13 | 21.21 | 3 | 7 | 10 | 54 | 1 | 0 | 1 | 52 | 0 | 0 | 57.17% | 495 | 9 | 10 | 0 | 0 | 0.99 | 0 | 3 | ||
3 | Alexander Wennberg | 0 | C | 20 | 7 | 8 | 15 | 3 | 0 | 0 | 29 | 52 | 23 | 21 | 13.46% | 7 | 19.24 | 1 | 1 | 2 | 41 | 1 | 0 | 1 | 29 | 1 | 0 | 56.52% | 299 | 10 | 8 | 0 | 0 | 0.78 | 1 | 3 | ||
4 | Nikolaj Ehlers | 0 | LW/RW | 20 | 8 | 6 | 14 | 2 | 11 | 5 | 28 | 55 | 19 | 33 | 14.55% | 9 | 17.16 | 0 | 1 | 1 | 40 | 0 | 0 | 0 | 0 | 1 | 1 | 25.00% | 16 | 18 | 9 | 0 | 0 | 0.82 | 0 | 1 | ||
5 | Arthur Kaliyev | 0 | LW/RW | 20 | 4 | 8 | 12 | 1 | 20 | 10 | 21 | 38 | 12 | 18 | 10.53% | 4 | 14.17 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 13 | 0 | 0 | 33.33% | 6 | 9 | 7 | 0 | 0 | 0.85 | 1 | 1 | ||
6 | Morgan Frost | 0 | C | 20 | 3 | 5 | 8 | 1 | 7 | 5 | 27 | 47 | 13 | 34 | 6.38% | 3 | 13.64 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 42.06% | 126 | 16 | 6 | 0 | 0 | 0.59 | 0 | 0 | ||
7 | Andrew Mangiapane | 0 | LW/RW | 20 | 4 | 3 | 7 | -1 | 12 | 0 | 21 | 36 | 12 | 30 | 11.11% | 15 | 19.18 | 2 | 2 | 4 | 53 | 0 | 1 | 1 | 19 | 1 | 0 | 25.00% | 36 | 9 | 3 | 0 | 0 | 0.36 | 1 | 2 | ||
8 | Jakub Vrana | 0 | LW | 20 | 3 | 3 | 6 | 2 | 0 | 0 | 3 | 20 | 5 | 12 | 15.00% | 0 | 6.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 25.00% | 4 | 5 | 1 | 0 | 0 | 0.90 | 0 | 0 | ||
9 | Roman Josi | 0 | D | 20 | 2 | 4 | 6 | -13 | 18 | 0 | 26 | 39 | 17 | 24 | 5.13% | 35 | 27.26 | 2 | 0 | 2 | 58 | 0 | 1 | 1 | 47 | 0 | 0 | 0.00% | 0 | 14 | 12 | 0 | 0 | 0.22 | 0 | 0 | ||
10 | Vince Dunn | 0 | D | 20 | 0 | 5 | 5 | 12 | 12 | 0 | 31 | 18 | 11 | 9 | 0.00% | 20 | 20.49 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 7 | 8 | 0 | 0 | 0.24 | 0 | 0 | ||
11 | Nic Dowd | 0 | C | 20 | 4 | 1 | 5 | 1 | 2 | 0 | 9 | 11 | 2 | 2 | 36.36% | 1 | 7.64 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 20 | 2 | 0 | 53.33% | 60 | 3 | 4 | 0 | 0 | 0.65 | 0 | 0 | ||
12 | Ross Colton | 0 | C/LW | 20 | 3 | 2 | 5 | 1 | 12 | 0 | 34 | 30 | 10 | 11 | 10.00% | 5 | 12.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 66.67% | 9 | 3 | 1 | 0 | 0 | 0.39 | 0 | 1 | ||
13 | Ryan Suter | 0 | D | 20 | 1 | 3 | 4 | -13 | 9 | 5 | 17 | 21 | 16 | 9 | 4.76% | 27 | 27.64 | 1 | 3 | 4 | 56 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 2 | 13 | 0 | 0 | 0.14 | 0 | 0 | ||
14 | Nikita Zadorov | 0 | D | 20 | 0 | 4 | 4 | 4 | 8 | 0 | 19 | 8 | 5 | 3 | 0.00% | 19 | 13.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 2 | 3 | 0 | 0 | 0.31 | 0 | 0 | ||
15 | Connor Brown | 0 | LW/RW | 20 | 1 | 3 | 4 | 1 | 15 | 5 | 30 | 13 | 5 | 18 | 7.69% | 11 | 17.17 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 8 | 1 | 11 | 0 | 0 | 0.23 | 0 | 1 | ||
16 | Mario Ferraro | 0 | D | 20 | 0 | 3 | 3 | 11 | 8 | 0 | 15 | 13 | 6 | 9 | 0.00% | 19 | 20.12 | 0 | 1 | 1 | 38 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 11 | 0 | 0 | 0.15 | 0 | 0 | ||
17 | Travis Sanheim | 0 | D | 20 | 0 | 1 | 1 | 4 | 4 | 0 | 9 | 3 | 3 | 2 | 0.00% | 23 | 12.32 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 10 | 0 | 0 | 0.08 | 0 | 0 | ||
18 | Teddy Blueger | 0 | C/LW | 20 | 0 | 0 | 0 | 2 | 0 | 0 | 5 | 1 | 1 | 3 | 0.00% | 0 | 2.79 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 0 | 4 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 360 | 58 | 86 | 144 | 13 | 160 | 30 | 380 | 558 | 216 | 347 | 10.39% | 225 | 16.53 | 13 | 20 | 33 | 491 | 2 | 3 | 5 | 370 | 8 | 2 | 50.34% | 1188 | 134 | 134 | 0 | 0 | 0.48 | 3 | 15 |
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 Sorokin | 20 | 10 | 8 | 2 | 0.899 | 3.05 | 1159 | 0 | 0 | 59 | 586 | 226 | 1 | 0 | 0.857 | 14 | 20 | 0 | 1 | 3 | 1 | |
2 | Pyotr Kochetkov | 2 | 0 | 0 | 0 | 0.875 | 3.21 | 56 | 0 | 0 | 3 | 24 | 19 | 0 | 0 | 0.000 | 0 | 0 | 20 | 0 | 0 | 0 | |
Team Total or Average | 22 | 10 | 8 | 2 | 0.898 | 3.06 | 1215 | 0 | 0 | 62 | 610 | 245 | 1 | 0 | 0.857 | 14 | 20 | 20 | 1 | 3 | 1 |
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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 35 | 14 | 9 | 12 | 0 | 33 | 10 | 0 | 18 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 21 | 13 | 21 | 8 | 16 | 8 | 50.0% | 8.6% | 93.9% | 102.5 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 24 | 5 | 11 | 8 | 0 | 31 | 10 | 4 | 20 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 20 | 10 | 21 | 8 | 18 | 10 | 0.0% | 8.3% | 87.1% | 95.4 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 7 | 10 | 16 | 0 | 39 | 6 | 6 | 12 | 2 | 1 | 50.00% | 3 | 2 | 33.33% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 19 | 12 | 24 | 8 | 16 | 7 | 33.3% | 9.1% | 84.6% | 93.7 | FUN | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 13 | 1 | 6 | 6 | 0 | 23 | 11 | 4 | 27 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 19 | 9 | 22 | 10 | 18 | 8 | 33.3% | 7.7% | 87.0% | 94.6 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 23 | 4 | 16 | 3 | 0 | 25 | 10 | 8 | 24 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 19 | 10 | 22 | 9 | 18 | 9 | 100.0% | 13.0% | 96.0% | 109.0 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 6 | 14 | 6 | 0 | 31 | 16 | 14 | 16 | 0 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 20 | 11 | 21 | 8 | 17 | 8 | 100.0% | 7.7% | 96.8% | 104.5 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 3 | 0 | 29 | 2 | 13 | 14 | 0 | 34 | 12 | 10 | 17 | 1 | 1 | 100.00% | 5 | 2 | 60.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 21 | 11 | 21 | 8 | 17 | 8 | 40.0% | 10.3% | 85.3% | 95.6 | FUN | |
8 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 3 | 7 | 0 | 0 | 2 | 0 | 1 | 2 | 52 | 15 | 23 | 13 | 5 | 60 | 27 | 16 | 28 | 2 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 40 | 22 | 47 | 19 | 36 | 16 | 57.1% | 7.7% | 93.3% | 101.0 | DULL | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 5 | 10 | 0 | 0 | 3 | 1 | 0 | 1 | 34 | 13 | 13 | 8 | 7 | 39 | 8 | 9 | 22 | 5 | 2 | 40.00% | 2 | 2 | 0.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 25 | 15 | 20 | 7 | 18 | 10 | 60.0% | 14.7% | 89.7% | 104.4 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 4 | 1 | 0 | 33 | 8 | 15 | 10 | 0 | 34 | 14 | 12 | 24 | 6 | 1 | 16.67% | 1 | 1 | 0.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 24 | 14 | 18 | 7 | 17 | 10 | 80.0% | 15.2% | 94.1% | 109.3 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 25 | 6 | 8 | 11 | 0 | 28 | 11 | 14 | 17 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 18 | 9 | 23 | 10 | 18 | 8 | 50.0% | 12.0% | 82.1% | 94.1 | FUN | |
12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 0 | 1 | 58 | 13 | 33 | 11 | 1 | 59 | 17 | 23 | 28 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 39 | 23 | 48 | 17 | 33 | 16 | 50.0% | 6.9% | 89.8% | 96.7 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 23 | 7 | 6 | 10 | 0 | 25 | 10 | 13 | 20 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 22 | 12 | 19 | 9 | 17 | 9 | 20.0% | 8.7% | 76.0% | 84.7 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 2 | 0 | 26 | 8 | 11 | 7 | 0 | 33 | 14 | 9 | 20 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 20 | 11 | 21 | 8 | 17 | 9 | 80.0% | 23.1% | 93.9% | 117.0 | LUCKY | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 31 | 10 | 11 | 10 | 3 | 30 | 15 | 4 | 23 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 19 | 9 | 26 | 10 | 19 | 9 | 25.0% | 6.5% | 90.0% | 96.5 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 0 | 4 | 0 | 32 | 12 | 7 | 13 | 0 | 21 | 9 | 8 | 21 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 20 | 10 | 21 | 10 | 18 | 8 | 60.0% | 18.8% | 81.0% | 99.7 | FUN | |
17 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 61 | 16 | 24 | 21 | 0 | 65 | 25 | 6 | 43 | 8 | 1 | 12.50% | 3 | 1 | 66.67% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 43 | 24 | 42 | 17 | 34 | 18 | 55.6% | 9.8% | 92.3% | 102.1 | LUCKY | |
_Vs Division | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 12 | 22 | 0 | 0 | 6 | 2 | 1 | 1 | 83 | 23 | 43 | 17 | 7 | 95 | 34 | 31 | 62 | 8 | 2 | 25.00% | 13 | 4 | 69.23% | 1 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 65 | 36 | 64 | 25 | 54 | 28 | 80.0% | 12.0% | 93.7% | 105.7 | LUCKY | |
_Vs Conference | 5 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 12 | 9 | 10 | 1.000 | 21 | 29 | 50 | 0 | 0 | 8 | 6 | 6 | 1 | 148 | 43 | 65 | 40 | 7 | 150 | 57 | 51 | 107 | 17 | 3 | 17.65% | 18 | 5 | 72.22% | 2 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 110 | 62 | 104 | 43 | 89 | 47 | 72.0% | 14.2% | 92.0% | 106.2 | LUCKY | |
_Since Last GM Reset | 20 | 7 | 8 | 0 | 1 | 1 | 2 | 1 | 60 | 63 | -3 | 22 | 0.550 | 60 | 86 | 146 | 0 | 0 | 22 | 17 | 18 | 4 | 558 | 147 | 230 | 179 | 16 | 610 | 225 | 160 | 380 | 59 | 13 | 22.03% | 66 | 20 | 69.70% | 2 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 417 | 234 | 444 | 183 | 354 | 179 | 52.2% | 10.8% | 89.7% | 100.4 | FUN | |
Total | 20 | 7 | 8 | 0 | 1 | 1 | 2 | 1 | 60 | 63 | -3 | 22 | 0.550 | 60 | 86 | 146 | 0 | 0 | 22 | 17 | 18 | 4 | 558 | 147 | 230 | 179 | 16 | 610 | 225 | 160 | 380 | 59 | 13 | 22.03% | 66 | 20 | 69.70% | 2 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 417 | 234 | 444 | 183 | 354 | 179 | 52.2% | 10.8% | 89.7% | 100.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 394 |
Neutral Zone Start | 291 |
Defensive Zone Start | 493 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 598 |
Faceoffs Lost | 580 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.4 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 27.8 | 30.68 |
Overtime | 28.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 45 |
---|---|
PP Goal | 13 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 3 |
Lost | 2 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 59 |
---|---|
PP Goal | 13 |
PK Attempt | 66 |
PK Goal Against | 20 |
Home | |
---|---|
Shots For | 27.9 |
Shots Against | 30.5 |
Goals For | 3.0 |
Goals Against | 3.2 |
Hits | 19.0 |
Shots Blocked | 11.3 |
Pim | 8.0 |
Projected Total Cap Hit | 82,045,667$ |
Projected Cap Space | 454,333$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,366,050$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Wild Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Wennberg ![]() | C | 28 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Andrew Mangiapane ![]() | LW/RW | 26 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | |||||
Arthur Kaliyev ![]() | LW/RW | 21 | 894,167$ | 894,167$ | 894,167$ | ||||||
Austin Strand ![]() | D | 25 | 750,000$ | 750,000$ | |||||||
Brett Ritchie ![]() | RW | 29 | 750,000$ | 750,000$ | |||||||
Connor Brown ![]() | LW/RW | 28 | 3,600,000$ | 3,600,000$ | |||||||
Elias Lindholm ![]() | C | 27 | 4,850,000$ | 4,850,000$ | 4,850,000$ | ||||||
Eric Staal ![]() | C | 37 | 750,000$ | 750,000$ | |||||||
Ilya Sorokin ![]() | G | 27 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
Jakub Vrana ![]() | LW | 26 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Mario Ferraro ![]() | D | 24 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Morgan Frost ![]() | C | 23 | 800,000$ | 800,000$ | |||||||
Nic Dowd ![]() | C | 32 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||||
Nikita Kucherov ![]() | RW | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |||
Nikita Zadorov ![]() | D | 27 | 3,750,000$ | 3,750,000$ | 3,750,000$ | ||||||
Nikolaj Ehlers ![]() | LW/RW | 26 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | |||||
Pyotr Kochetkov ![]() | G | 23 | 842,500$ | 842,500$ | |||||||
Roman Josi ![]() | D | 32 | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | ||
Ross Colton ![]() | C/LW | 26 | 1,125,000$ | 1,125,000$ | |||||||
Ryan Suter ![]() | D | 37 | 3,650,000$ | 3,650,000$ | 3,650,000$ | 3,650,000$ | |||||
Teddy Blueger ![]() | C/LW | 28 | 2,200,000$ | 2,200,000$ | |||||||
Travis Sanheim ![]() | D | 26 | 4,675,000$ | 4,675,000$ | |||||||
Tyler Pitlick ![]() | RW | 30 | 750,000$ | 750,000$ | |||||||
Vince Dunn ![]() | D | 25 | 4,000,000$ | 4,000,000$ |
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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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 35 | 14 | 9 | 12 | 0 | 33 | 10 | 0 | 18 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 21 | 13 | 21 | 8 | 16 | 8 | 50.0% | 8.6% | 93.9% | 102.5 | DULL | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 24 | 5 | 11 | 8 | 0 | 31 | 10 | 4 | 20 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 20 | 10 | 21 | 8 | 18 | 10 | 0.0% | 8.3% | 87.1% | 95.4 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 33 | 7 | 10 | 16 | 0 | 39 | 6 | 6 | 12 | 2 | 1 | 50.00% | 3 | 2 | 33.33% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 19 | 12 | 24 | 8 | 16 | 7 | 33.3% | 9.1% | 84.6% | 93.7 | FUN | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 13 | 1 | 6 | 6 | 0 | 23 | 11 | 4 | 27 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 19 | 9 | 22 | 10 | 18 | 8 | 33.3% | 7.7% | 87.0% | 94.6 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 1 | 0 | 0 | 23 | 4 | 16 | 3 | 0 | 25 | 10 | 8 | 24 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 19 | 10 | 22 | 9 | 18 | 9 | 100.0% | 13.0% | 96.0% | 109.0 | LUCKY | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 26 | 6 | 14 | 6 | 0 | 31 | 16 | 14 | 16 | 0 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 20 | 11 | 21 | 8 | 17 | 8 | 100.0% | 7.7% | 96.8% | 104.5 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 0 | 3 | 0 | 29 | 2 | 13 | 14 | 0 | 34 | 12 | 10 | 17 | 1 | 1 | 100.00% | 5 | 2 | 60.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 21 | 11 | 21 | 8 | 17 | 8 | 40.0% | 10.3% | 85.3% | 95.6 | FUN | |
8 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 3 | 7 | 0 | 0 | 2 | 0 | 1 | 2 | 52 | 15 | 23 | 13 | 5 | 60 | 27 | 16 | 28 | 2 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 40 | 22 | 47 | 19 | 36 | 16 | 57.1% | 7.7% | 93.3% | 101.0 | DULL | |
9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 5 | 10 | 0 | 0 | 3 | 1 | 0 | 1 | 34 | 13 | 13 | 8 | 7 | 39 | 8 | 9 | 22 | 5 | 2 | 40.00% | 2 | 2 | 0.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 25 | 15 | 20 | 7 | 18 | 10 | 60.0% | 14.7% | 89.7% | 104.4 | FUN | |
10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 0 | 4 | 1 | 0 | 33 | 8 | 15 | 10 | 0 | 34 | 14 | 12 | 24 | 6 | 1 | 16.67% | 1 | 1 | 0.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 24 | 14 | 18 | 7 | 17 | 10 | 80.0% | 15.2% | 94.1% | 109.3 | LUCKY | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 25 | 6 | 8 | 11 | 0 | 28 | 11 | 14 | 17 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 18 | 9 | 23 | 10 | 18 | 8 | 50.0% | 12.0% | 82.1% | 94.1 | FUN | |
12 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 0 | 1 | 58 | 13 | 33 | 11 | 1 | 59 | 17 | 23 | 28 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 39 | 23 | 48 | 17 | 33 | 16 | 50.0% | 6.9% | 89.8% | 96.7 | Unlucky | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 23 | 7 | 6 | 10 | 0 | 25 | 10 | 13 | 20 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 22 | 12 | 19 | 9 | 17 | 9 | 20.0% | 8.7% | 76.0% | 84.7 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 2 | 0 | 26 | 8 | 11 | 7 | 0 | 33 | 14 | 9 | 20 | 5 | 2 | 40.00% | 2 | 1 | 50.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 20 | 11 | 21 | 8 | 17 | 9 | 80.0% | 23.1% | 93.9% | 117.0 | LUCKY | |
15 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 0 | 31 | 10 | 11 | 10 | 3 | 30 | 15 | 4 | 23 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 19 | 9 | 26 | 10 | 19 | 9 | 25.0% | 6.5% | 90.0% | 96.5 | Unlucky | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 0 | 4 | 0 | 32 | 12 | 7 | 13 | 0 | 21 | 9 | 8 | 21 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 20 | 10 | 21 | 10 | 18 | 8 | 60.0% | 18.8% | 81.0% | 99.7 | FUN | |
17 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 3 | 0.750 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 61 | 16 | 24 | 21 | 0 | 65 | 25 | 6 | 43 | 8 | 1 | 12.50% | 3 | 1 | 66.67% | 0 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 43 | 24 | 42 | 17 | 34 | 18 | 55.6% | 9.8% | 92.3% | 102.1 | LUCKY | |
_Vs Division | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 6 | 4 | 6 | 1.000 | 10 | 12 | 22 | 0 | 0 | 6 | 2 | 1 | 1 | 83 | 23 | 43 | 17 | 7 | 95 | 34 | 31 | 62 | 8 | 2 | 25.00% | 13 | 4 | 69.23% | 1 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 65 | 36 | 64 | 25 | 54 | 28 | 80.0% | 12.0% | 93.7% | 105.7 | LUCKY | |
_Vs Conference | 5 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 12 | 9 | 10 | 1.000 | 21 | 29 | 50 | 0 | 0 | 8 | 6 | 6 | 1 | 148 | 43 | 65 | 40 | 7 | 150 | 57 | 51 | 107 | 17 | 3 | 17.65% | 18 | 5 | 72.22% | 2 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 110 | 62 | 104 | 43 | 89 | 47 | 72.0% | 14.2% | 92.0% | 106.2 | LUCKY | |
_Since Last GM Reset | 20 | 7 | 8 | 0 | 1 | 1 | 2 | 1 | 60 | 63 | -3 | 22 | 0.550 | 60 | 86 | 146 | 0 | 0 | 22 | 17 | 18 | 4 | 558 | 147 | 230 | 179 | 16 | 610 | 225 | 160 | 380 | 59 | 13 | 22.03% | 66 | 20 | 69.70% | 2 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 417 | 234 | 444 | 183 | 354 | 179 | 52.2% | 10.8% | 89.7% | 100.4 | FUN | |
Total | 20 | 7 | 8 | 0 | 1 | 1 | 2 | 1 | 60 | 63 | -3 | 22 | 0.550 | 60 | 86 | 146 | 0 | 0 | 22 | 17 | 18 | 4 | 558 | 147 | 230 | 179 | 16 | 610 | 225 | 160 | 380 | 59 | 13 | 22.03% | 66 | 20 | 69.70% | 2 | 202 | 394 | 51.27% | 243 | 493 | 49.29% | 153 | 291 | 52.58% | 417 | 234 | 444 | 183 | 354 | 179 | 52.2% | 10.8% | 89.7% | 100.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 394 |
Neutral Zone Start | 291 |
Defensive Zone Start | 493 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 598 |
Faceoffs Lost | 580 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.4 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 27.8 | 30.68 |
Overtime | 28.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 45 |
---|---|
PP Goal | 13 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 3 |
Lost | 2 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 59 |
---|---|
PP Goal | 13 |
PK Attempt | 66 |
PK Goal Against | 20 |
Home | |
---|---|
Shots For | 27.9 |
Shots Against | 30.5 |
Goals For | 3.0 |
Goals Against | 3.2 |
Hits | 19.0 |
Shots Blocked | 11.3 |
Pim | 8.0 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-08 | @ | Panthers2,Wild6 | RECAP | ||
2023-10-10 | @ | Wild1,Maple Leafs2 | RECAP | ||
2023-10-13 | @ | Wild3,Canadiens2 | RECAP | ||
2023-10-15 | @ | Kings4,Wild6 | RECAP | ||
2023-10-17 | @ | Blue Jackets6,Wild2 | RECAP | ||
2023-10-20 | @ | Oilers2,Wild5 | RECAP | ||
2023-10-22 | @ | Wild1,Flyers3 | RECAP | ||
2023-10-23 | @ | Wild3,Capitals5 | RECAP | ||
2023-10-25 | @ | Wild4,Devils2 | RECAP | ||
2023-10-29 | @ | Devils3,Wild2 (OT) | RECAP | ||
2023-10-31 | @ | Rangers5,Wild2 | RECAP | ||
2023-11-03 | @ | Wild2,Islanders4 | RECAP | ||
2023-11-05 | @ | Wild2,Rangers1 (OT) | RECAP | ||
2023-11-06 | @ | Wild3,Sabres5 | RECAP | ||
2023-11-08 | @ | Stars4,Wild5 (SO) | RECAP | ||
2023-11-14 | @ | Wild2,Senators3 (SO) | RECAP | ||
2023-11-15 | @ | Maple Leafs2,Wild3 (SO) | RECAP | ||
2023-11-20 | @ | Avalanche1,Wild2 | RECAP | ||
2023-11-22 | @ | Wild3,Red Wings6 | RECAP | ||
2023-11-24 | @ | Blues1,Wild3 | RECAP | ||
2023-11-26 | @ | ||||
2023-11-29 | @ | ||||
2023-12-01 | @ | ||||
2023-12-03 | @ | ||||
2023-12-04 | @ | ||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,045,667$ | 0$ | 82,045,667$ | 454,333$ |
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 | 56210 | 48482 | 19419 | 36988 | 9637 |
Attendance PCT | 93.68% | 96.96% | 97.10% | 92.47% | 96.37% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
31 | 17074 - 94.85% | 615,146$ | 6,151,459$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,045,667$ | 82,045,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
21,366,050$ | 82,045,667$ | 21,366,050$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
19,069,523$ | 142 | 427,321$ | 60,679,582$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
67,460,942$ | 82,045,667$ | -536,138,559$ | -584,529,978$ |
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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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Priority | Type | Description |
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3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
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7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo min 2023 | |||||
Aaron Ness | Link | ||||
Akil Thomas | 2018 | 26 | |||
Alex Khokhlachev | |||||
Andrey Pedan | |||||
Anthony Stewart | |||||
Anton Babchuk | |||||
Antti Miettinen | |||||
Aram Minnetian | 2023 | 127 | |||
Artem Manukyan | 2018 | 181 | |||
Arvid Costmar | 2019 | 211 | |||
Ayrton Martino | 2021 | 74 | |||
Ben Strinden | 2022 | 216 | |||
Benjamin Finkelstein | 2016 | 178 | |||
Brayden Tracey | 2019 | 25 | |||
Brendan Shinnimin | |||||
Brett Bulmer | |||||
Bruno Gervais | |||||
Case McCarthy | 2019 | 118 | |||
Chad Yetman | 2020 | 171 | |||
Chase Bradley | 2020 | 202 | |||
Connor Hvidston | 2022 | 152 | |||
Connor Zary | 2020 | 16 | |||
Danick Martel | |||||
Daniil Chechelev | 2020 | 109 | |||
Daniil Pylenkov | 2021 | 202 | |||
Danila Zhuravlyov | 2018 | 150 | |||
David Ullstrom | |||||
Dennis Everberg | |||||
Dylan James | 2022 | 56 | |||
Elliot Ekefjard | 2020 | 193 | |||
Evan Barratt | |||||
Filip Helt | 2016 | 208 | |||
Filip Sveningsson | |||||
Garrett Mitchell | |||||
Gerald Mayhew | Link | ||||
Hampton Slukynsky | 2023 | 95 | |||
Harri Sateri | Link | ||||
Henri Ikonen | |||||
Igor Shvyrev | |||||
Ivan Chekhovich | Link | ||||
Jackson Dorrington | 2022 | 184 | |||
Jake Virtanen | Link | ||||
Jake Wise | 2018 | 57 | |||
Jeff Schultz | |||||
Jeremie Poirier | 2020 | 47 | |||
Jhonas Enroth | |||||
Joel Blomqvist | 2020 | 49 | |||
Josh Harding | |||||
Joshua Lopina | 2021 | 106 | |||
Kenny Connors | 2022 | 120 | |||
Louie Belpedio | Link | ||||
Luke Prokop | 2020 | 78 | |||
Mark Fistric | |||||
Markus Granlund | |||||
Martin Reway | |||||
Mat Clark | |||||
Matt Hackett | |||||
Mike Smith | Link | ||||
Nick Lardis | 2023 | 63 | |||
Nikolai Makarov | 2021 | 138 | |||
Olen Zellweger | 2021 | 47 | |||
Pasquale Zito | 2021 | 170 | |||
Rasmus Larsson | 2023 | 159 | |||
Reid Boucher | |||||
Rushan Rafikov | |||||
Ryan Walsh | 2023 | 191 | |||
Sam Hentges | 2018 | 212 | |||
Sebastian Cossa | 2021 | 10 | |||
Theo Lindstein | 2023 | 31 | |||
Tim Harrison | |||||
Tomas Kubalik | |||||
Topi Niemela | 2020 | 74 | |||
Tyler Peddle | 2023 | 223 | |||
Vinzenz Rohrer | 2022 | 88 | |||
Wiley Sherman | |||||
William Lagesson | Link | ||||
Wojtek Wolski | |||||
erik christensen | |||||
spencer machacek | |||||
tim stapleton |
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