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Full Scoreboard »» |
Dallas Stars 25-16-6, 56pts · 6th 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 | C | 100.00 | 64 | 40 | 87 | 91 | 74 | 87 | 89 | 86 | 78 | 91 | 87 | 62 | 90 | 69 | 76 | 88 | 50 | 77 | 24 | 6,300,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 84 | 44 | 72 | 83 | 81 | 86 | 88 | 82 | 80 | 85 | 81 | 75 | 82 | 73 | 70 | 71 | 50 | 76 | 26 | 5,250,000$/4yrs | |||
![]() | 0 | RW | 100.00 | 61 | 43 | 84 | 86 | 89 | 85 | 62 | 83 | 69 | 81 | 84 | 66 | 83 | 67 | 72 | 84 | 50 | 73 | 22 | 9,250,000$/6yrs | |||
![]() | 0 | LW | 100.00 | 99 | 55 | 58 | 77 | 89 | 85 | 90 | 76 | 71 | 74 | 75 | 59 | 76 | 61 | 64 | 89 | 50 | 71 | 20 | 925,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 81 | 52 | 72 | 74 | 90 | 83 | 87 | 73 | 72 | 74 | 75 | 62 | 75 | 78 | 91 | 39 | 50 | 71 | 29 | 7,000,000$/7yrs | |||
![]() | 0 | RW | 100.00 | 52 | 40 | 87 | 86 | 75 | 82 | 89 | 81 | 53 | 74 | 69 | 58 | 80 | 82 | 77 | 54 | 50 | 70 | 31 | 8,000,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 54 | 40 | 89 | 76 | 77 | 82 | 87 | 74 | 78 | 77 | 69 | 73 | 76 | 79 | 73 | 67 | 50 | 70 | 29 | 3,300,000$/3yrs | |||
![]() | 0 | C | 100.00 | 73 | 42 | 78 | 68 | 85 | 78 | 76 | 66 | 73 | 67 | 70 | 81 | 66 | 71 | 67 | 62 | 50 | 68 | 25 | 2,750,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 68 | 41 | 86 | 77 | 79 | 82 | 80 | 76 | 79 | 71 | 64 | 57 | 78 | 71 | 66 | 83 | 50 | 67 | 25 | 4,900,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 71 | 41 | 78 | 69 | 80 | 75 | 86 | 67 | 56 | 70 | 68 | 74 | 69 | 67 | 65 | 63 | 50 | 67 | 23 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 40 | 89 | 68 | 73 | 65 | 71 | 66 | 74 | 58 | 67 | 63 | 64 | 69 | 66 | 62 | 50 | 62 | 24 | 700,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 42 | 89 | 63 | 76 | 77 | 73 | 62 | 56 | 60 | 61 | 66 | 64 | 63 | 65 | 56 | 53 | 62 | 21 | 736,666$/2yrs | |||
![]() | 0 | D | 100.00 | 83 | 44 | 81 | 73 | 78 | 88 | 87 | 72 | 30 | 79 | 69 | 83 | 58 | 84 | 74 | 43 | 50 | 74 | 32 | 5,750,000$/2yrs | |||
![]() | 0 | D | 100.00 | 81 | 41 | 75 | 79 | 78 | 93 | 86 | 77 | 30 | 80 | 68 | 72 | 58 | 79 | 73 | 71 | 50 | 73 | 29 | 11,000,000$/8yrs | |||
![]() | 0 | D | 100.00 | 73 | 41 | 78 | 69 | 82 | 90 | 65 | 69 | 30 | 72 | 65 | 79 | 67 | 67 | 55 | 36 | 50 | 69 | 29 | 5,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 45 | 72 | 63 | 85 | 81 | 83 | 62 | 30 | 67 | 56 | 87 | 51 | 65 | 64 | 69 | 50 | 69 | 22 | 714,166$/1yrs | |||
![]() | 0 | D | 100.00 | 87 | 54 | 75 | 62 | 99 | 81 | 88 | 59 | 30 | 67 | 58 | 63 | 51 | 75 | 69 | 70 | 50 | 68 | 26 | 2,137,500$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 40 | 85 | 64 | 73 | 84 | 68 | 63 | 30 | 75 | 57 | 72 | 51 | 78 | 71 | 66 | 50 | 67 | 29 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 44 | 80 | 74 | 81 | 82 | 81 | 72 | 57 | 73 | 69 | 70 | 69 | 72 | 70 | 65 | 50 | 70 |
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 | 91 | 95 | 93 | 97 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 84 | 88 | 51 | 50 | 88 | 32 | 4,916,670$/2yrs |
![]() | 0 | 100.00 | 88 | 89 | 87 | 82 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 71 | 75 | 64 | 50 | 82 | 25 | 1,150,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 90 | 92 | 90 | 90 | 89 | 88 | 90 | 89 | 88 | 90 | 89 | 78 | 82 | 58 | 50 | 85 |
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 | 86 | 45 | 53 | 67 | 86 | 77 | 69 | 66 | 53 | 70 | 68 | 59 | 66 | 69 | 67 | 83 | 60 | 64 | 23 | 1,498,925$/2yrs | |||
![]() | 0 | RW | 100.00 | 75 | 54 | 82 | 63 | 99 | 77 | 70 | 62 | 56 | 60 | 61 | 64 | 59 | 77 | 67 | 53 | 60 | 63 | 28 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 84 | 40 | 72 | 66 | 76 | 79 | 75 | 64 | 72 | 56 | 65 | 58 | 66 | 67 | 64 | 86 | 60 | 62 | 23 | 2,550,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 70 | 46 | 89 | 61 | 96 | 74 | 77 | 59 | 52 | 58 | 60 | 62 | 59 | 63 | 62 | 56 | 60 | 61 | 21 | 730,000$/2yrs | |||
![]() | 0 | C | 100.00 | 66 | 39 | 84 | 59 | 86 | 70 | 71 | 58 | 72 | 61 | 57 | 60 | 58 | 71 | 66 | 63 | 60 | 60 | 25 | 700,000$/1yrs | |||
![]() | 0 | C | 100.00 | 63 | 48 | 84 | 61 | 78 | 74 | 73 | 59 | 75 | 60 | 58 | 62 | 59 | 63 | 62 | 85 | 60 | 60 | 21 | 863,333$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 38 | 89 | 62 | 76 | 74 | 75 | 59 | 64 | 58 | 57 | 56 | 62 | 63 | 61 | 82 | 60 | 59 | 21 | 894,166$/2yrs | |||
![]() | 0 | LW | 100.00 | 52 | 43 | 87 | 59 | 66 | 77 | 76 | 59 | 56 | 58 | 54 | 52 | 57 | 65 | 63 | 64 | 60 | 57 | 21 | 714,166$/2yrs | |||
![]() | 0 | LW | 100.00 | 60 | 41 | 89 | 59 | 75 | 71 | 70 | 56 | 55 | 50 | 58 | 54 | 56 | 67 | 64 | 61 | 60 | 56 | 23 | 701,667$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 45 | 81 | 66 | 91 | 82 | 78 | 64 | 30 | 70 | 57 | 68 | 52 | 65 | 63 | 56 | 60 | 67 | 22 | 678,889$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 45 | 79 | 62 | 85 | 83 | 69 | 61 | 30 | 67 | 57 | 75 | 51 | 69 | 65 | 80 | 60 | 66 | 24 | 1,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 38 | 82 | 68 | 67 | 81 | 73 | 66 | 30 | 70 | 63 | 65 | 52 | 63 | 65 | 68 | 60 | 63 | 21 | 870,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 45 | 87 | 59 | 80 | 83 | 79 | 58 | 30 | 57 | 57 | 63 | 46 | 67 | 64 | 72 | 60 | 62 | 23 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 66 | 43 | 84 | 58 | 87 | 71 | 66 | 57 | 30 | 56 | 56 | 59 | 45 | 75 | 68 | 53 | 60 | 60 | 27 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 50 | 83 | 58 | 74 | 85 | 87 | 57 | 30 | 56 | 52 | 54 | 45 | 69 | 65 | 60 | 60 | 60 | 24 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 62 | 39 | 88 | 59 | 79 | 73 | 68 | 57 | 30 | 56 | 56 | 58 | 45 | 63 | 62 | 54 | 60 | 59 | 21 | 796,667$/3yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Roger Haché |
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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 | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nathan MacKinnon | 0 | C | 47 | 21 | 28 | 49 | 7 | 13 | 5 | 62 | 194 | 64 | 98 | 10.82% | 18 | 21.38 | 5 | 14 | 19 | 138 | 0 | 1 | 1 | 59 | 2 | 1 | 47.84% | 1298 | 45 | 20 | 2 | 0 | 0.98 | 2 | 10 | ||
2 | Mikko Rantanen | 0 | RW | 47 | 21 | 26 | 47 | 7 | 17 | 5 | 42 | 186 | 62 | 123 | 11.29% | 20 | 20.08 | 9 | 10 | 19 | 136 | 0 | 0 | 0 | 0 | 6 | 2 | 42.99% | 107 | 54 | 17 | 1 | 1 | 1.00 | 1 | 10 | ||
3 | J.T. Miller | 0 | C/LW/RW | 47 | 7 | 20 | 27 | 2 | 24 | 0 | 78 | 136 | 36 | 82 | 5.15% | 21 | 16.19 | 2 | 8 | 10 | 102 | 0 | 0 | 0 | 0 | 1 | 2 | 49.56% | 456 | 25 | 18 | 0 | 0 | 0.71 | 0 | 0 | ||
4 | Alex Galchenyuk | 0 | C/LW | 47 | 12 | 11 | 23 | 3 | 4 | 0 | 58 | 90 | 35 | 66 | 13.33% | 8 | 15.57 | 2 | 5 | 7 | 105 | 2 | 0 | 2 | 97 | 1 | 3 | 52.38% | 126 | 20 | 8 | 0 | 0 | 0.63 | 0 | 0 | ||
5 | Josh Bailey | 0 | LW/RW | 47 | 10 | 12 | 22 | -1 | 2 | 0 | 20 | 93 | 23 | 63 | 10.75% | 16 | 13.44 | 6 | 3 | 9 | 104 | 1 | 0 | 1 | 47 | 2 | 0 | 29.17% | 24 | 24 | 7 | 0 | 0 | 0.70 | 1 | 1 | ||
6 | Drew Doughty | 0 | D | 47 | 6 | 15 | 21 | -9 | 48 | 0 | 83 | 72 | 34 | 49 | 8.33% | 58 | 27.66 | 5 | 3 | 8 | 147 | 0 | 1 | 1 | 126 | 2 | 0 | 0.00% | 0 | 30 | 46 | 0 | 0 | 0.32 | 0 | 0 | ||
7 | Matt Niskanen | 0 | D | 47 | 1 | 17 | 18 | -11 | 21 | 5 | 91 | 63 | 38 | 27 | 1.59% | 81 | 27.86 | 1 | 7 | 8 | 146 | 0 | 0 | 0 | 139 | 0 | 0 | 0.00% | 0 | 20 | 47 | 0 | 0 | 0.27 | 0 | 0 | ||
8 | Anders Lee | 0 | LW | 47 | 6 | 10 | 16 | 9 | 44 | 0 | 89 | 60 | 22 | 41 | 10.00% | 16 | 19.09 | 2 | 4 | 6 | 136 | 0 | 0 | 0 | 27 | 1 | 1 | 47.17% | 53 | 18 | 17 | 0 | 0 | 0.36 | 1 | 8 | ||
9 | Brady Tkachuk | 0 | LW | 47 | 5 | 8 | 13 | -1 | 68 | 10 | 88 | 84 | 26 | 35 | 5.95% | 16 | 17.43 | 0 | 0 | 0 | 6 | 0 | 1 | 1 | 114 | 0 | 0 | 70.00% | 50 | 18 | 14 | 0 | 0 | 0.32 | 0 | 0 | ||
10 | Phil Kessel | 0 | RW | 47 | 8 | 5 | 13 | 3 | 4 | 0 | 28 | 106 | 35 | 53 | 7.55% | 15 | 14.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 28.12% | 32 | 25 | 7 | 0 | 0 | 0.39 | 1 | 3 | ||
11 | Michael Del Zotto | 0 | D | 47 | 5 | 6 | 11 | 15 | 8 | 0 | 69 | 51 | 14 | 21 | 9.80% | 30 | 20.93 | 2 | 1 | 3 | 97 | 0 | 0 | 0 | 114 | 2 | 0 | 0.00% | 0 | 7 | 29 | 1 | 0 | 0.22 | 0 | 1 | ||
12 | Jamie Oleksiak | 0 | D | 47 | 0 | 7 | 7 | 15 | 37 | 5 | 66 | 25 | 18 | 14 | 0.00% | 37 | 20.38 | 0 | 1 | 1 | 97 | 0 | 1 | 1 | 84 | 0 | 0 | 0.00% | 0 | 5 | 24 | 0 | 0 | 0.15 | 0 | 0 | ||
13 | Danny Dekeyser | 0 | D | 47 | 1 | 5 | 6 | 8 | 21 | 5 | 36 | 25 | 14 | 9 | 4.00% | 29 | 13.13 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 34 | 0 | 0 | 0.00% | 0 | 9 | 24 | 0 | 0 | 0.19 | 0 | 0 | ||
14 | Warren Foegele | 0 | LW | 47 | 4 | 2 | 6 | 0 | 4 | 0 | 36 | 79 | 11 | 41 | 5.06% | 6 | 8.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 9 | 9 | 9 | 0 | 0 | 0.31 | 0 | 0 | ||
15 | Carter Verhaeghe | 0 | C | 47 | 0 | 5 | 5 | 2 | 2 | 0 | 18 | 61 | 23 | 46 | 0.00% | 7 | 9.05 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 14 | 0 | 0 | 55.21% | 163 | 13 | 5 | 0 | 0 | 0.24 | 0 | 0 | ||
16 | Oskar Sundqvist | 0 | C | 47 | 0 | 4 | 4 | 0 | 10 | 0 | 49 | 28 | 8 | 27 | 0.00% | 17 | 13.27 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 138 | 0 | 0 | 48.43% | 446 | 10 | 16 | 0 | 0 | 0.13 | 0 | 0 | ||
17 | Joachim Blichfeld | 0 | LW/RW | 47 | 2 | 1 | 3 | 3 | 2 | 0 | 17 | 36 | 10 | 16 | 5.56% | 10 | 8.79 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 6 | 0 | 1 | 71.43% | 7 | 3 | 3 | 0 | 0 | 0.15 | 0 | 0 | ||
18 | Jonas Siegenthaler | 0 | D | 47 | 0 | 1 | 1 | 5 | 12 | 0 | 18 | 21 | 6 | 9 | 0.00% | 25 | 12.36 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 3 | 18 | 0 | 0 | 0.03 | 0 | 0 | ||
Team Total or Average | 846 | 109 | 183 | 292 | 57 | 341 | 35 | 948 | 1410 | 479 | 820 | 7.73% | 430 | 16.60 | 34 | 56 | 90 | 1243 | 3 | 6 | 9 | 1016 | 20 | 10 | 48.68% | 2771 | 338 | 329 | 4 | 1 | 0.42 | 6 | 33 |
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 | Ben Bishop | 33 | 20 | 8 | 4 | 0.935 | 1.83 | 1964 | 2 | 3 | 60 | 930 | 429 | 2 | 1 | 0.875 | 24 | 32 | 15 | 9 | 4 | 0 | |
2 | Joonas Korpisalo | 15 | 5 | 8 | 2 | 0.921 | 2.33 | 901 | 0 | 2 | 35 | 444 | 205 | 1 | 0 | 0.714 | 7 | 15 | 32 | 3 | 0 | 1 | |
Team Total or Average | 48 | 25 | 16 | 6 | 0.931 | 1.99 | 2865 | 2 | 5 | 95 | 1374 | 634 | 3 | 1 | 0.839 | 31 | 47 | 47 | 12 | 4 | 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 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 8 | 8 | 17 | 0 | 29 | 7 | 4 | 23 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 22 | 13 | 20 | 8 | 16 | 8 | 50.0% | 6.1% | 96.6% | 102.6 | DULL | |
2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 54 | 16 | 23 | 15 | 4 | 66 | 24 | 18 | 27 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 44 | 26 | 45 | 18 | 35 | 16 | 33.3% | 5.6% | 92.4% | 98.0 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 1 | 28 | 12 | 9 | 7 | 2 | 35 | 14 | 4 | 25 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 23 | 13 | 19 | 10 | 21 | 10 | 60.0% | 10.7% | 94.3% | 105.0 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 36 | 10 | 16 | 10 | 0 | 27 | 6 | 0 | 20 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 21 | 12 | 20 | 8 | 17 | 9 | 25.0% | 2.8% | 88.9% | 91.7 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 33 | 15 | 8 | 10 | 0 | 33 | 2 | 6 | 19 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 24 | 15 | 18 | 8 | 16 | 8 | 66.7% | 12.1% | 93.9% | 106.1 | LUCKY | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 50 | 23 | 18 | 9 | 0 | 72 | 24 | 19 | 42 | 6 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 40 | 23 | 45 | 17 | 33 | 16 | 16.7% | 2.0% | 88.9% | 90.9 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 1 | 2 | 40 | 16 | 12 | 12 | 3 | 23 | 4 | 8 | 22 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 23 | 13 | 20 | 9 | 20 | 10 | 50.0% | 10.0% | 87.0% | 97.0 | FUN | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 79 | 22 | 23 | 31 | 6 | 58 | 20 | 8 | 33 | 11 | 1 | 9.09% | 4 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 51 | 32 | 39 | 17 | 33 | 18 | 42.9% | 5.1% | 93.1% | 98.2 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 5 | 21 | 7 | 0 | 33 | 9 | 8 | 15 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 20 | 11 | 21 | 9 | 17 | 8 | 33.3% | 3.0% | 93.9% | 97.0 | DULL | |
10 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.250 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 3 | 0 | 106 | 25 | 35 | 46 | 0 | 142 | 53 | 22 | 87 | 6 | 2 | 33.33% | 11 | 3 | 72.73% | 1 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 88 | 51 | 82 | 33 | 68 | 35 | 46.2% | 7.5% | 93.0% | 100.5 | DULL | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 4 | 1.000 | 10 | 18 | 28 | 0 | 2 | 2 | 6 | 2 | 0 | 60 | 14 | 24 | 22 | 0 | 48 | 13 | 18 | 50 | 14 | 5 | 35.71% | 4 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 44 | 24 | 39 | 19 | 36 | 19 | 100.0% | 16.7% | 100.0% | 116.7 | LUCKY | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 3 | 1 | 3 | 0 | 72 | 22 | 17 | 31 | 5 | 61 | 9 | 16 | 40 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 49 | 31 | 38 | 18 | 37 | 18 | 60.0% | 9.7% | 88.5% | 98.2 | FUN | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 0 | 4 | 0 | 0 | 63 | 21 | 22 | 20 | 0 | 61 | 25 | 14 | 38 | 1 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 48 | 31 | 38 | 15 | 33 | 16 | 66.7% | 6.3% | 90.2% | 96.5 | Unlucky | |
14 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 1 | 3 | 1 | 59 | 15 | 20 | 23 | 6 | 55 | 12 | 16 | 39 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 46 | 26 | 42 | 19 | 36 | 18 | 71.4% | 10.2% | 94.5% | 104.7 | LUCKY | |
15 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 11 | -1 | 5 | 0.625 | 10 | 17 | 27 | 0 | 1 | 0 | 3 | 7 | 0 | 100 | 25 | 43 | 32 | 3 | 97 | 46 | 36 | 92 | 14 | 4 | 28.57% | 18 | 5 | 72.22% | 1 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 82 | 44 | 89 | 38 | 72 | 34 | 50.0% | 10.0% | 88.7% | 98.7 | FUN | |
16 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 5 | 10 | 0 | 1 | 1 | 1 | 2 | 1 | 60 | 15 | 25 | 18 | 4 | 54 | 22 | 6 | 40 | 9 | 1 | 11.11% | 3 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 44 | 24 | 40 | 19 | 39 | 20 | 66.7% | 8.3% | 96.3% | 104.6 | DULL | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 56 | 22 | 12 | 22 | 0 | 57 | 12 | 12 | 39 | 10 | 2 | 20.00% | 6 | 1 | 83.33% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 43 | 25 | 42 | 18 | 33 | 17 | 50.0% | 7.1% | 94.7% | 101.9 | DULL | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 20 | 4 | 8 | 8 | 3 | 36 | 9 | 6 | 16 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 17 | 8 | 28 | 11 | 19 | 9 | 25.0% | 10.0% | 91.7% | 101.7 | LUCKY | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 37 | 6 | 15 | 16 | 0 | 35 | 14 | 11 | 28 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 23 | 14 | 21 | 8 | 15 | 8 | 66.7% | 10.8% | 97.1% | 108.0 | LUCKY | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 8 | 10 | 3 | 0 | 30 | 11 | 4 | 20 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 20 | 11 | 22 | 9 | 17 | 8 | 0.0% | 0.0% | 96.7% | 96.7 | DULL | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 11 | 19 | 0 | 0 | 4 | 3 | 1 | 0 | 57 | 25 | 16 | 16 | 0 | 49 | 20 | 25 | 46 | 8 | 4 | 50.00% | 5 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 45 | 26 | 39 | 18 | 35 | 17 | 66.7% | 14.0% | 95.9% | 110.0 | LUCKY | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 1 | 1 | 0 | 40 | 8 | 12 | 20 | 0 | 25 | 7 | 8 | 17 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 21 | 12 | 21 | 9 | 17 | 8 | 100.0% | 7.5% | 92.0% | 99.5 | DULL | |
23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 0 | 3 | 1 | 31 | 12 | 5 | 12 | 2 | 23 | 2 | 18 | 21 | 2 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 21 | 11 | 19 | 10 | 19 | 8 | 80.0% | 12.9% | 87.0% | 99.9 | FUN | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 33 | 11 | 7 | 15 | 0 | 30 | 9 | 6 | 15 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 22 | 14 | 21 | 9 | 15 | 7 | 50.0% | 3.0% | 90.0% | 93.0 | Unlucky | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 1 | 2 | 3 | 0 | 59 | 24 | 21 | 14 | 0 | 49 | 12 | 14 | 39 | 9 | 4 | 44.44% | 7 | 1 | 85.71% | 1 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 44 | 25 | 39 | 17 | 36 | 18 | 66.7% | 10.2% | 95.9% | 106.1 | LUCKY | |
26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 88 | 27 | 22 | 39 | 0 | 96 | 28 | 20 | 52 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 61 | 35 | 66 | 28 | 52 | 25 | 44.4% | 5.7% | 92.7% | 98.4 | DULL | |
27 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 1 | 1 | 62 | 24 | 16 | 20 | 6 | 51 | 16 | 16 | 43 | 9 | 1 | 11.11% | 8 | 3 | 62.50% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 49 | 31 | 39 | 19 | 35 | 17 | 60.0% | 6.5% | 90.2% | 96.6 | Unlucky | |
_Vs Division | 16 | 9 | 4 | 0 | 0 | 0 | 1 | 2 | 42 | 32 | 10 | 22 | 0.688 | 42 | 68 | 110 | 0 | 2 | 11 | 12 | 18 | 1 | 460 | 136 | 158 | 162 | 15 | 450 | 163 | 121 | 336 | 55 | 16 | 29.09% | 53 | 10 | 81.13% | 3 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 358 | 207 | 333 | 144 | 283 | 142 | 54.2% | 9.1% | 92.9% | 102.0 | LUCKY | |
_Vs Conference | 30 | 12 | 8 | 0 | 1 | 1 | 3 | 5 | 73 | 67 | 6 | 38 | 0.633 | 73 | 117 | 190 | 0 | 3 | 18 | 17 | 34 | 4 | 883 | 266 | 290 | 315 | 39 | 864 | 279 | 221 | 595 | 98 | 22 | 22.45% | 103 | 21 | 79.61% | 3 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 669 | 388 | 631 | 279 | 539 | 267 | 52.6% | 8.3% | 92.2% | 100.5 | DULL | |
_Since Last GM Reset | 47 | 19 | 16 | 0 | 1 | 1 | 5 | 5 | 114 | 101 | 13 | 56 | 0.596 | 114 | 183 | 297 | 1 | 5 | 27 | 34 | 47 | 7 | 1410 | 435 | 468 | 495 | 44 | 1375 | 430 | 343 | 948 | 154 | 34 | 22.08% | 155 | 33 | 78.71% | 3 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 1049 | 612 | 984 | 431 | 836 | 417 | 54.1% | 8.1% | 92.7% | 100.7 | DULL | |
Total | 47 | 19 | 16 | 0 | 1 | 1 | 5 | 5 | 114 | 101 | 13 | 56 | 0.596 | 114 | 183 | 297 | 1 | 5 | 27 | 34 | 47 | 7 | 1410 | 435 | 468 | 495 | 44 | 1375 | 430 | 343 | 948 | 154 | 34 | 22.08% | 155 | 33 | 78.71% | 3 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 1049 | 612 | 984 | 431 | 836 | 417 | 54.1% | 8.1% | 92.7% | 100.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1085 |
Neutral Zone Start | 581 |
Defensive Zone Start | 1105 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1349 |
Faceoffs Lost | 1422 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 29.7 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 76 |
---|---|
PP Goal | 34 |
PK Goal | 3 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 14 | 11 |
Lost | 7 | 9 |
Overtime Lost | 3 | 3 |
PP Attempt | 154 |
---|---|
PP Goal | 34 |
PK Attempt | 155 |
PK Goal Against | 33 |
Home | |
---|---|
Shots For | 30.0 |
Shots Against | 29.3 |
Goals For | 2.4 |
Goals Against | 2.1 |
Hits | 20.2 |
Shots Blocked | 9.1 |
Pim | 7.3 |
Projected Total Cap Hit | 81,330,002$ |
Projected Cap Space | 169,998$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 47,223,864$ |
Players In Salary Cap | 20 |
LTIR Players | 0 |
Stars Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Galchenyuk ![]() | C/LW | 25 | 4,900,000$ | 4,900,000$ | |||||||
Anders Lee ![]() | LW | 29 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | |
Ben Bishop ![]() | G | 32 | 4,916,670$ | 4,916,670$ | 4,916,670$ | ||||||
Brady Tkachuk ![]() | LW | 20 | 925,000$ | 925,000$ | 925,000$ | ||||||
Carter Verhaeghe ![]() | C | 24 | 700,000$ | 700,000$ | |||||||
Danny Dekeyser ![]() | D | 29 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Drew Doughty ![]() | D | 29 | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ |
J.T. Miller ![]() | C/LW/RW | 26 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||
Jamie Oleksiak ![]() | D | 26 | 2,137,500$ | 2,137,500$ | 2,137,500$ | ||||||
Joachim Blichfeld ![]() | LW/RW | 21 | 736,666$ | 736,666$ | 736,666$ | ||||||
Jonas Siegenthaler ![]() | D | 22 | 714,166$ | 714,166$ | |||||||
Joonas Korpisalo ![]() | G | 25 | 1,150,000$ | 1,150,000$ | |||||||
Josh Bailey ![]() | LW/RW | 29 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | |||||
Matt Niskanen ![]() | D | 32 | 5,750,000$ | 5,750,000$ | 5,750,000$ | ||||||
Michael Del Zotto ![]() | D | 29 | 750,000$ | 750,000$ | |||||||
Mikko Rantanen ![]() | RW | 22 | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | ||
Nathan MacKinnon ![]() | C | 24 | 6,300,000$ | 6,300,000$ | 6,300,000$ | ||||||
Oskar Sundqvist ![]() | C | 25 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||
Phil Kessel ![]() | RW | 31 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | |||||
Warren Foegele ![]() | LW | 23 | 800,000$ | 800,000$ |
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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 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 33 | 8 | 8 | 17 | 0 | 29 | 7 | 4 | 23 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 22 | 13 | 20 | 8 | 16 | 8 | 50.0% | 6.1% | 96.6% | 102.6 | DULL | |
2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 54 | 16 | 23 | 15 | 4 | 66 | 24 | 18 | 27 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 44 | 26 | 45 | 18 | 35 | 16 | 33.3% | 5.6% | 92.4% | 98.0 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 1 | 28 | 12 | 9 | 7 | 2 | 35 | 14 | 4 | 25 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 23 | 13 | 19 | 10 | 21 | 10 | 60.0% | 10.7% | 94.3% | 105.0 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 36 | 10 | 16 | 10 | 0 | 27 | 6 | 0 | 20 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 21 | 12 | 20 | 8 | 17 | 9 | 25.0% | 2.8% | 88.9% | 91.7 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 33 | 15 | 8 | 10 | 0 | 33 | 2 | 6 | 19 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 24 | 15 | 18 | 8 | 16 | 8 | 66.7% | 12.1% | 93.9% | 106.1 | LUCKY | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 50 | 23 | 18 | 9 | 0 | 72 | 24 | 19 | 42 | 6 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 40 | 23 | 45 | 17 | 33 | 16 | 16.7% | 2.0% | 88.9% | 90.9 | Unlucky | |
7 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 1 | 2 | 40 | 16 | 12 | 12 | 3 | 23 | 4 | 8 | 22 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 23 | 13 | 20 | 9 | 20 | 10 | 50.0% | 10.0% | 87.0% | 97.0 | FUN | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 79 | 22 | 23 | 31 | 6 | 58 | 20 | 8 | 33 | 11 | 1 | 9.09% | 4 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 51 | 32 | 39 | 17 | 33 | 18 | 42.9% | 5.1% | 93.1% | 98.2 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 5 | 21 | 7 | 0 | 33 | 9 | 8 | 15 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 20 | 11 | 21 | 9 | 17 | 8 | 33.3% | 3.0% | 93.9% | 97.0 | DULL | |
10 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.250 | 8 | 14 | 22 | 0 | 0 | 3 | 2 | 3 | 0 | 106 | 25 | 35 | 46 | 0 | 142 | 53 | 22 | 87 | 6 | 2 | 33.33% | 11 | 3 | 72.73% | 1 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 88 | 51 | 82 | 33 | 68 | 35 | 46.2% | 7.5% | 93.0% | 100.5 | DULL | |
11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 10 | 4 | 1.000 | 10 | 18 | 28 | 0 | 2 | 2 | 6 | 2 | 0 | 60 | 14 | 24 | 22 | 0 | 48 | 13 | 18 | 50 | 14 | 5 | 35.71% | 4 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 44 | 24 | 39 | 19 | 36 | 19 | 100.0% | 16.7% | 100.0% | 116.7 | LUCKY | |
12 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 3 | 1 | 3 | 0 | 72 | 22 | 17 | 31 | 5 | 61 | 9 | 16 | 40 | 4 | 1 | 25.00% | 8 | 3 | 62.50% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 49 | 31 | 38 | 18 | 37 | 18 | 60.0% | 9.7% | 88.5% | 98.2 | FUN | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 0 | 4 | 0 | 0 | 63 | 21 | 22 | 20 | 0 | 61 | 25 | 14 | 38 | 1 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 48 | 31 | 38 | 15 | 33 | 16 | 66.7% | 6.3% | 90.2% | 96.5 | Unlucky | |
14 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 1 | 1 | 3 | 1 | 59 | 15 | 20 | 23 | 6 | 55 | 12 | 16 | 39 | 7 | 1 | 14.29% | 8 | 1 | 87.50% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 46 | 26 | 42 | 19 | 36 | 18 | 71.4% | 10.2% | 94.5% | 104.7 | LUCKY | |
15 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 11 | -1 | 5 | 0.625 | 10 | 17 | 27 | 0 | 1 | 0 | 3 | 7 | 0 | 100 | 25 | 43 | 32 | 3 | 97 | 46 | 36 | 92 | 14 | 4 | 28.57% | 18 | 5 | 72.22% | 1 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 82 | 44 | 89 | 38 | 72 | 34 | 50.0% | 10.0% | 88.7% | 98.7 | FUN | |
16 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 5 | 10 | 0 | 1 | 1 | 1 | 2 | 1 | 60 | 15 | 25 | 18 | 4 | 54 | 22 | 6 | 40 | 9 | 1 | 11.11% | 3 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 44 | 24 | 40 | 19 | 39 | 20 | 66.7% | 8.3% | 96.3% | 104.6 | DULL | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 56 | 22 | 12 | 22 | 0 | 57 | 12 | 12 | 39 | 10 | 2 | 20.00% | 6 | 1 | 83.33% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 43 | 25 | 42 | 18 | 33 | 17 | 50.0% | 7.1% | 94.7% | 101.9 | DULL | |
18 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 20 | 4 | 8 | 8 | 3 | 36 | 9 | 6 | 16 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 17 | 8 | 28 | 11 | 19 | 9 | 25.0% | 10.0% | 91.7% | 101.7 | LUCKY | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 37 | 6 | 15 | 16 | 0 | 35 | 14 | 11 | 28 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 23 | 14 | 21 | 8 | 15 | 8 | 66.7% | 10.8% | 97.1% | 108.0 | LUCKY | |
20 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 8 | 10 | 3 | 0 | 30 | 11 | 4 | 20 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 20 | 11 | 22 | 9 | 17 | 8 | 0.0% | 0.0% | 96.7% | 96.7 | DULL | |
21 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 11 | 19 | 0 | 0 | 4 | 3 | 1 | 0 | 57 | 25 | 16 | 16 | 0 | 49 | 20 | 25 | 46 | 8 | 4 | 50.00% | 5 | 0 | 100.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 45 | 26 | 39 | 18 | 35 | 17 | 66.7% | 14.0% | 95.9% | 110.0 | LUCKY | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 1 | 1 | 0 | 40 | 8 | 12 | 20 | 0 | 25 | 7 | 8 | 17 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 21 | 12 | 21 | 9 | 17 | 8 | 100.0% | 7.5% | 92.0% | 99.5 | DULL | |
23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 0 | 3 | 1 | 31 | 12 | 5 | 12 | 2 | 23 | 2 | 18 | 21 | 2 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 21 | 11 | 19 | 10 | 19 | 8 | 80.0% | 12.9% | 87.0% | 99.9 | FUN | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 33 | 11 | 7 | 15 | 0 | 30 | 9 | 6 | 15 | 1 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 22 | 14 | 21 | 9 | 15 | 7 | 50.0% | 3.0% | 90.0% | 93.0 | Unlucky | |
25 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 1 | 2 | 3 | 0 | 59 | 24 | 21 | 14 | 0 | 49 | 12 | 14 | 39 | 9 | 4 | 44.44% | 7 | 1 | 85.71% | 1 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 44 | 25 | 39 | 17 | 36 | 18 | 66.7% | 10.2% | 95.9% | 106.1 | LUCKY | |
26 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 0 | 1 | 4 | 0 | 88 | 27 | 22 | 39 | 0 | 96 | 28 | 20 | 52 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 61 | 35 | 66 | 28 | 52 | 25 | 44.4% | 5.7% | 92.7% | 98.4 | DULL | |
27 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 1 | 1 | 62 | 24 | 16 | 20 | 6 | 51 | 16 | 16 | 43 | 9 | 1 | 11.11% | 8 | 3 | 62.50% | 0 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 49 | 31 | 39 | 19 | 35 | 17 | 60.0% | 6.5% | 90.2% | 96.6 | Unlucky | |
_Vs Division | 16 | 9 | 4 | 0 | 0 | 0 | 1 | 2 | 42 | 32 | 10 | 22 | 0.688 | 42 | 68 | 110 | 0 | 2 | 11 | 12 | 18 | 1 | 460 | 136 | 158 | 162 | 15 | 450 | 163 | 121 | 336 | 55 | 16 | 29.09% | 53 | 10 | 81.13% | 3 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 358 | 207 | 333 | 144 | 283 | 142 | 54.2% | 9.1% | 92.9% | 102.0 | LUCKY | |
_Vs Conference | 30 | 12 | 8 | 0 | 1 | 1 | 3 | 5 | 73 | 67 | 6 | 38 | 0.633 | 73 | 117 | 190 | 0 | 3 | 18 | 17 | 34 | 4 | 883 | 266 | 290 | 315 | 39 | 864 | 279 | 221 | 595 | 98 | 22 | 22.45% | 103 | 21 | 79.61% | 3 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 669 | 388 | 631 | 279 | 539 | 267 | 52.6% | 8.3% | 92.2% | 100.5 | DULL | |
_Since Last GM Reset | 47 | 19 | 16 | 0 | 1 | 1 | 5 | 5 | 114 | 101 | 13 | 56 | 0.596 | 114 | 183 | 297 | 1 | 5 | 27 | 34 | 47 | 7 | 1410 | 435 | 468 | 495 | 44 | 1375 | 430 | 343 | 948 | 154 | 34 | 22.08% | 155 | 33 | 78.71% | 3 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 1049 | 612 | 984 | 431 | 836 | 417 | 54.1% | 8.1% | 92.7% | 100.7 | DULL | |
Total | 47 | 19 | 16 | 0 | 1 | 1 | 5 | 5 | 114 | 101 | 13 | 56 | 0.596 | 114 | 183 | 297 | 1 | 5 | 27 | 34 | 47 | 7 | 1410 | 435 | 468 | 495 | 44 | 1375 | 430 | 343 | 948 | 154 | 34 | 22.08% | 155 | 33 | 78.71% | 3 | 520 | 1085 | 47.93% | 540 | 1105 | 48.87% | 289 | 581 | 49.74% | 1049 | 612 | 984 | 431 | 836 | 417 | 54.1% | 8.1% | 92.7% | 100.7 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 1085 |
Neutral Zone Start | 581 |
Defensive Zone Start | 1105 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 1349 |
Faceoffs Lost | 1422 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.3 | 9.57 |
2nd Period | 19.2 | 20.31 |
3rd Period | 29.7 | 30.68 |
Overtime | 30.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 76 |
---|---|
PP Goal | 34 |
PK Goal | 3 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 14 | 11 |
Lost | 7 | 9 |
Overtime Lost | 3 | 3 |
PP Attempt | 154 |
---|---|
PP Goal | 34 |
PK Attempt | 155 |
PK Goal Against | 33 |
Home | |
---|---|
Shots For | 30.0 |
Shots Against | 29.3 |
Goals For | 2.4 |
Goals Against | 2.1 |
Hits | 20.2 |
Shots Blocked | 9.1 |
Pim | 7.3 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Bruins1,Stars2 | RECAP | ||
2020-10-27 | @ | Stars3,Blues2 | RECAP | ||
2020-10-28 | @ | Stars0,Red Wings5 | RECAP | ||
2020-10-30 | @ | Stars5,Capitals0 | RECAP | ||
2020-11-01 | @ | Flames1,Stars3 | RECAP | ||
2020-11-03 | @ | Capitals0,Stars5 | RECAP | ||
2020-11-05 | @ | Stars1,Sabres2 | RECAP | ||
2020-11-07 | @ | Stars4,Blue Jackets1 | RECAP | ||
2020-11-09 | @ | Stars1,Penguins2 | RECAP | ||
2020-11-10 | @ | Stars4,Flyers3 (SO) | RECAP | ||
2020-11-12 | @ | Senators2,Stars3 | RECAP | ||
2020-11-15 | @ | Ducks3,Stars2 (OT) | RECAP | ||
2020-11-17 | @ | Penguins4,Stars3 | RECAP | ||
2020-11-20 | @ | Wild1,Stars5 | RECAP | ||
2020-11-23 | @ | Stars3,Avalanche1 | RECAP | ||
2020-11-24 | @ | Canadiens2,Stars3 (SO) | RECAP | ||
2020-11-27 | @ | Avalanche4,Stars3 | RECAP | ||
2020-12-02 | @ | Stars5,Jets3 | RECAP | ||
2020-12-05 | @ | Stars1,Flames2 | RECAP | ||
2020-12-06 | @ | Stars3,Canucks4 (SO) | RECAP | ||
2020-12-08 | @ | Stars2,Oilers0 | RECAP | ||
2020-12-11 | @ | Canucks3,Stars4 | RECAP | ||
2020-12-13 | @ | Jets0,Stars1 | RECAP | ||
2020-12-15 | @ | Blackhawks0,Stars1 | RECAP | ||
2020-12-17 | @ | Golden Knights3,Stars1 | RECAP | ||
2020-12-18 | @ | Stars5,Blackhawks2 | RECAP | ||
2020-12-21 | @ | Blues2,Stars1 (SO) | RECAP | ||
2020-12-23 | @ | Stars3,Wild1 | RECAP | ||
2020-12-25 | @ | Stars1,Jets4 | RECAP | ||
2020-12-27 | @ | Jets4,Stars3 (SO) | RECAP | ||
2020-12-29 | @ | Islanders2,Stars4 | RECAP | ||
2021-01-01 | @ | Devils3,Stars1 | RECAP | ||
2021-01-04 | @ | Golden Knights2,Stars3 (SO) | RECAP | ||
2021-01-05 | @ | Stars2,Predators1 (SO) | RECAP | ||
2021-01-07 | @ | Oilers2,Stars3 (SO) | RECAP | ||
2021-01-10 | @ | Stars1,Lightning2 | RECAP | ||
2021-01-11 | @ | Stars0,Panthers1 | RECAP | ||
2021-01-13 | @ | Flames4,Stars1 | RECAP | ||
2021-01-19 | @ | Avalanche2,Stars1 | RECAP | ||
2021-01-20 | @ | Stars1,Coyotes3 | RECAP | ||
2021-01-23 | @ | Predators2,Stars4 | RECAP | ||
2021-01-25 | @ | Red Wings3,Stars1 | RECAP | ||
2021-01-30 | @ | Stars4,Kings3 (OT) | RECAP | ||
2021-01-31 | @ | Stars1,Ducks2 (SO) | RECAP | ||
2021-02-02 | @ | Stars2,Sharks3 (SO) | RECAP | ||
2021-02-05 | @ | Stars1,Avalanche3 | RECAP | ||
2021-02-07 | @ | Sabres1,Stars3 | RECAP | ||
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2021-04-27 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
81,330,002$ | 0$ | 81,330,002$ | 169,998$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Americain Airlines Center | |
City | Dallas | ||
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 | 136526 | 114276 | 45840 | 92424 | 22343 |
Attendance PCT | 94.81% | 95.23% | 95.50% | 96.28% | 93.10% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
17 | 17142 - 95.23% | 613,971$ | 14,735,306$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
81,330,002$ | 81,330,002$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
47,223,864$ | 81,330,002$ | 47,223,864$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
10,437,508$ | 78 | 437,258$ | 34,106,124$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,106,124$ | 81,330,002$ | -370,585,045$ | -394,253,661$ |
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 |
---|---|---|---|---|---|---|---|
2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
1 ballo dal 2021 | |||||
2 ballo dal 2021 | |||||
Aapeli Rasanen | 2016 | 142 | |||
Adam Ginning | 2018 | 66 | |||
Alban Eriksson | 2018 | 48 | |||
Alexis Gravel | 2018 | 97 | |||
Anthony Louis | |||||
Bogdan Yakimov | |||||
Brent Moran | |||||
Chase Mclane | 2020 | 209 | |||
Cédric Paré | |||||
Denis Smirnov | |||||
Dmitriy Zaitsev | 2016 | 202 | |||
Dmitry Zavgorodniy | 2018 | 159 | |||
Dylan Cozens | 2019 | 8 | |||
Frank Corrado | |||||
Hugo Alnefelt | 2019 | 83 | |||
Jan Bednar | 2020 | 84 | |||
Jens Looke | |||||
Joey Daccord | |||||
Jonathan Dugan | |||||
Judd Caulfield | 2019 | 107 | |||
Justin Barron | 2020 | 36 | |||
Kevin Mandolese | 2018 | 96 | |||
Kirill Slepets | 2019 | 138 | |||
Kristian Roykas Marthinsen | |||||
Linus Arnesson | |||||
Linus Soderstrom | |||||
MacKenzie Entwistle | |||||
Mads Sogaard | 2019 | 45 | |||
Magnus Paajarvi | Link | ||||
Mario Kempe | |||||
Matthew Rempe | 2020 | 168 | |||
Maxence Guenette | 2019 | 169 | |||
Mikhail Grigorenko | |||||
Ostap Safin | |||||
Patrick Holway | |||||
Paul Bittner | |||||
Rodion Amirov | 2020 | 23 | |||
Rory Kerins | 2020 | 178 | |||
Ryan Fitzgerald | |||||
Ryan Francis | 2020 | 147 | |||
Serron Noel | 2018 | 35 | |||
Shamil Shmakov | 2018 | 190 | |||
Steven Johnson | |||||
Sven Andrighetto | Link | ||||
Trent Miner | 2019 | 200 | |||
Ty Emberson | 2018 | 78 | |||
Ty Smilanic | 2020 | 70 | |||
Tyler Kleven | 2020 | 54 | |||
Tyler Wall | 2016 | 172 | |||
Victor Brattstrom | 2018 | 128 | |||
Victor Ejdsell | |||||
Victor Soderstrom | 2019 | 13 | |||
Vladislav Kolyachonok | 2019 | 76 | |||
Zach Uens | 2020 | 116 | |||
Zion Nybeck | 2020 | 85 | |||
francois brassard |
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