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Full Scoreboard »» |
Dallas Stars 10-8-2, 22pts · 7th 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 | 81 | 44 | 89 | 82 | 71 | 65 | 94 | 63 | 78 | 61 | 57 | 67 | 25 | 59 | 59 | 65 | 50 | 0 | 19 | 925,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 95 | 99 | 59 | 85 | 82 | 79 | 98 | 99 | 78 | 86 | 89 | 60 | 25 | 67 | 67 | 84 | 50 | 0 | 23 | 8,330,674$/6yrs | |||
![]() | 0 | LW | 100.00 | 63 | 41 | 83 | 81 | 66 | 77 | 97 | 78 | 43 | 79 | 95 | 64 | 25 | 67 | 69 | 82 | 50 | 0 | 27 | 4,166,667$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 80 | 59 | 82 | 83 | 85 | 76 | 96 | 86 | 53 | 72 | 85 | 59 | 25 | 76 | 76 | 79 | 50 | 0 | 32 | 7,000,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 65 | 42 | 95 | 78 | 73 | 56 | 65 | 60 | 62 | 61 | 55 | 78 | 25 | 53 | 53 | 64 | 50 | 0 | 22 | 775,000$/2yrs | |||
![]() | 0 | C | 100.00 | 81 | 67 | 84 | 84 | 71 | 62 | 96 | 59 | 97 | 73 | 57 | 79 | 25 | 64 | 64 | 69 | 50 | 0 | 24 | 975,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 90 | 79 | 79 | 88 | 80 | 85 | 98 | 75 | 92 | 87 | 88 | 90 | 78 | 77 | 81 | 88 | 50 | 0 | 29 | 5,250,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 79 | 44 | 87 | 77 | 73 | 63 | 92 | 65 | 50 | 67 | 71 | 76 | 25 | 67 | 70 | 73 | 50 | 0 | 26 | 2,750,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 96 | 69 | 81 | 63 | 72 | 59 | 68 | 60 | 67 | 54 | 58 | 77 | 25 | 56 | 56 | 65 | 50 | 0 | 24 | 800,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 44 | 72 | 88 | 81 | 90 | 96 | 97 | 67 | 86 | 98 | 63 | 70 | 69 | 73 | 88 | 50 | 0 | 25 | 9,250,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 73 | 44 | 87 | 81 | 77 | 66 | 80 | 72 | 41 | 72 | 68 | 68 | 25 | 66 | 66 | 71 | 50 | 0 | 28 | 2,750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 89 | 46 | 76 | 87 | 72 | 76 | 84 | 77 | 84 | 79 | 76 | 73 | 25 | 70 | 73 | 78 | 50 | 0 | 26 | 4,425,000$/3yrs | |||
![]() | 0 | D | 100.00 | 79 | 44 | 87 | 88 | 74 | 97 | 77 | 86 | 25 | 73 | 51 | 85 | 47 | 88 | 88 | 72 | 50 | 0 | 32 | 11,000,000$/5yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 94 | 70 | 78 | 64 | 82 | 54 | 25 | 43 | 47 | 80 | 25 | 58 | 59 | 60 | 50 | 0 | 30 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 45 | 84 | 76 | 79 | 80 | 92 | 58 | 25 | 55 | 48 | 85 | 25 | 65 | 65 | 65 | 50 | 0 | 25 | 1,125,000$/1yrs | |||
![]() | 0 | D | 100.00 | 92 | 57 | 83 | 79 | 78 | 89 | 99 | 60 | 25 | 64 | 50 | 86 | 25 | 78 | 79 | 68 | 50 | 0 | 29 | 4,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 93 | 47 | 88 | 80 | 81 | 57 | 69 | 63 | 25 | 53 | 50 | 75 | 25 | 60 | 60 | 64 | 50 | 0 | 25 | 2,550,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 90 | 77 | 77 | 95 | 78 | 90 | 61 | 25 | 55 | 53 | 95 | 25 | 71 | 71 | 68 | 50 | 0 | 29 | 4,600,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 73 | 43 | 88 | 74 | 75 | 48 | 73 | 59 | 55 | 50 | 55 | 64 | 62 | 76 | 78 | 60 | 50 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 82 | 88 | 67 | 71 | 88 | 72 | 77 | 57 | 50 | 50 | 57 | 70 | 54 | 59 | 59 | 62 | 50 | 0 | 31 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 77 | 78 | 67 | 69 | 78 | 67 | 25 | 64 | 47 | 72 | 25 | 48 | 48 | 63 | 50 | 0 | 21 | 863,333$/2yrs | |||
TEAM AVERAGE | 100.00 | 80 | 56 | 82 | 80 | 77 | 72 | 86 | 69 | 52 | 66 | 65 | 75 | 34 | 66 | 67 | 71 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 85 | 85 | 81 | 76 | 85 | 84 | 90 | 85 | 85 | 85 | 87 | 60 | 62 | 85 | 50 | 0 | 26 | 5,666,666$/3yrs |
![]() | 0 | 100.00 | 63 | 66 | 65 | 81 | 65 | 60 | 69 | 60 | 65 | 63 | 43 | 56 | 56 | 64 | 50 | 0 | 26 | 2,750,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 76 | 73 | 79 | 75 | 72 | 80 | 73 | 75 | 74 | 65 | 58 | 59 | 75 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 84 | 45 | 92 | 70 | 70 | 62 | 79 | 70 | 53 | 59 | 57 | 68 | 25 | 58 | 58 | 65 | 57 | 0 | 23 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 72 | 69 | 79 | 77 | 69 | 77 | 85 | 49 | 25 | 43 | 40 | 60 | 38 | 47 | 47 | 54 | 57 | 0 | 21 | 789,167$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 43 | 81 | 67 | 73 | 69 | 43 | 56 | 25 | 39 | 49 | 82 | 25 | 53 | 53 | 59 | 57 | 0 | 24 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 74 | 89 | 66 | 74 | 71 | 76 | 54 | 25 | 52 | 41 | 64 | 39 | 44 | 44 | 56 | 57 | 0 | 21 | 813,333$/2yrs | |||
![]() | 0 | D | 100.00 | 77 | 78 | 74 | 64 | 78 | 70 | 76 | 49 | 25 | 42 | 41 | 62 | 39 | 44 | 44 | 54 | 57 | 0 | 22 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 88 | 78 | 65 | 62 | 51 | 58 | 25 | 53 | 47 | 73 | 25 | 64 | 64 | 59 | 57 | 0 | 24 | 1,200,000$/1yrs | |||
Scratches |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 47 | 45 | 56 | 85 | 47 | 47 | 50 | 53 | 48 | 48 | 30 | 44 | 44 | 48 | 57 | 0 | 22 | 861,667$/1yrs | ||||||
![]() | 0 | 100.00 | 60 | 58 | 56 | 86 | 65 | 54 | 69 | 61 | 65 | 60 | 75 | 45 | 45 | 62 | 57 | 0 | 21 | 925,000$/2yrs | ||||||
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Roger Haché |
---|
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 | Brady Tkachuk | 0 | LW | 20 | 12 | 11 | 23 | 12 | 66 | 30 | 30 | 75 | 25 | 57 | 16.00% | 7 | 20.85 | 0 | 2 | 2 | 41 | 0 | 0 | 0 | 29 | 3 | 0 | 48.94% | 47 | 13 | 10 | 0 | 0 | 1.10 | 0 | 2 | ||
2 | Mikko Rantanen | 0 | C/RW | 20 | 8 | 13 | 21 | 13 | 27 | 5 | 18 | 76 | 33 | 68 | 10.53% | 5 | 19.49 | 1 | 0 | 1 | 46 | 0 | 0 | 0 | 0 | 0 | 1 | 46.15% | 26 | 16 | 3 | 0 | 0 | 1.08 | 1 | 3 | ||
3 | J.T. Miller | 0 | C/LW/RW | 20 | 5 | 14 | 19 | 13 | 39 | 25 | 33 | 41 | 13 | 18 | 12.20% | 17 | 19.95 | 0 | 0 | 0 | 44 | 0 | 0 | 0 | 0 | 1 | 1 | 53.82% | 524 | 11 | 9 | 0 | 0 | 0.95 | 1 | 3 | ||
4 | Anders Lee | 0 | C/LW | 20 | 5 | 9 | 14 | 5 | 16 | 0 | 30 | 68 | 26 | 40 | 7.35% | 10 | 17.59 | 2 | 1 | 3 | 43 | 0 | 0 | 0 | 28 | 2 | 0 | 37.08% | 267 | 10 | 7 | 0 | 0 | 0.80 | 0 | 2 | ||
5 | Oskar Sundqvist | 0 | C/RW | 20 | 6 | 7 | 13 | 5 | 0 | 0 | 33 | 34 | 6 | 32 | 17.65% | 19 | 18.96 | 1 | 1 | 2 | 43 | 0 | 0 | 0 | 61 | 1 | 1 | 35.71% | 14 | 4 | 1 | 1 | 0 | 0.69 | 0 | 0 | ||
6 | Carter Verhaeghe | 0 | LW | 20 | 4 | 5 | 9 | 4 | 8 | 0 | 16 | 52 | 17 | 36 | 7.69% | 3 | 16.54 | 0 | 3 | 3 | 44 | 0 | 0 | 0 | 8 | 1 | 1 | 25.00% | 12 | 13 | 3 | 0 | 0 | 0.54 | 1 | 2 | ||
7 | Drew Doughty | 0 | D | 20 | 2 | 5 | 7 | 9 | 7 | 5 | 30 | 43 | 11 | 19 | 4.65% | 25 | 28.47 | 0 | 0 | 0 | 55 | 0 | 0 | 0 | 66 | 0 | 0 | 0.00% | 0 | 9 | 23 | 0 | 0 | 0.25 | 0 | 1 | ||
8 | Jonas Siegenthaler | 0 | D | 20 | 1 | 6 | 7 | 6 | 5 | 5 | 20 | 21 | 9 | 8 | 4.76% | 25 | 19.98 | 1 | 0 | 1 | 37 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 1 | 9 | 0 | 0 | 0.35 | 0 | 0 | ||
9 | Sam Bennett | 0 | C | 20 | 4 | 3 | 7 | 2 | 13 | 5 | 21 | 59 | 16 | 34 | 6.78% | 4 | 12.43 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 55.24% | 143 | 17 | 5 | 0 | 0 | 0.56 | 0 | 0 | ||
10 | Adam Larsson | 0 | D | 20 | 0 | 6 | 6 | 9 | 10 | 0 | 34 | 26 | 7 | 12 | 0.00% | 34 | 28.00 | 0 | 1 | 1 | 56 | 0 | 0 | 0 | 61 | 0 | 0 | 0.00% | 0 | 1 | 16 | 0 | 0 | 0.21 | 0 | 0 | ||
11 | Michael Mcleod | 0 | C | 20 | 2 | 4 | 6 | -2 | 6 | 0 | 15 | 25 | 7 | 14 | 8.00% | 7 | 10.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60 | 0 | 0 | 53.13% | 160 | 6 | 8 | 0 | 0 | 0.58 | 0 | 1 | ||
12 | Warren Foegele | 0 | LW/RW | 20 | 2 | 2 | 4 | 1 | 4 | 0 | 19 | 45 | 14 | 25 | 4.44% | 3 | 11.96 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 3 | 11 | 4 | 0 | 0 | 0.33 | 0 | 0 | ||
13 | Cole Sillinger | 0 | C | 20 | 1 | 2 | 3 | -3 | 2 | 0 | 23 | 14 | 5 | 13 | 7.14% | 2 | 9.79 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 24 | 0 | 0 | 52.17% | 23 | 4 | 1 | 0 | 0 | 0.31 | 0 | 0 | ||
14 | Philippe Myers | 0 | D | 20 | 0 | 3 | 3 | 1 | 0 | 0 | 8 | 7 | 5 | 8 | 0.00% | 11 | 12.06 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 12 | 0 | 0 | 0.25 | 0 | 1 | ||
15 | Jamie Oleksiak | 0 | D | 20 | 0 | 3 | 3 | 6 | 31 | 15 | 25 | 25 | 8 | 5 | 0.00% | 20 | 19.40 | 0 | 1 | 1 | 36 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 7 | 13 | 0 | 0 | 0.15 | 0 | 1 | ||
16 | David Gustafsson | 0 | C/LW | 17 | 2 | 0 | 2 | -3 | 0 | 0 | 5 | 7 | 3 | 3 | 28.57% | 1 | 7.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 3 | 1 | 4 | 0 | 0 | 0.32 | 0 | 0 | ||
17 | Buddy Robinson | 0 | RW | 3 | 1 | 1 | 2 | 1 | 0 | 0 | 7 | 3 | 1 | 1 | 33.33% | 0 | 13.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | ||
18 | Reese Johnson | 0 | C/RW | 17 | 1 | 1 | 2 | 0 | 6 | 0 | 18 | 12 | 5 | 4 | 8.33% | 5 | 11.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 3 | 1 | 3 | 0 | 0 | 0.21 | 0 | 0 | ||
19 | Kevin Gravel | 0 | D | 20 | 0 | 1 | 1 | 1 | 5 | 5 | 8 | 10 | 6 | 7 | 0.00% | 11 | 12.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 5 | 0 | 0 | 0.08 | 0 | 0 | ||
20 | Victor Soderstrom | 0 | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 360 | 56 | 96 | 152 | 80 | 245 | 95 | 393 | 643 | 217 | 404 | 8.71% | 209 | 16.48 | 5 | 9 | 14 | 470 | 0 | 0 | 0 | 441 | 9 | 4 | 49.31% | 1225 | 127 | 136 | 1 | 0 | 0.51 | 3 | 16 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Igor Shesterkin | 14 | 7 | 5 | 2 | 0.919 | 2.60 | 854 | 0 | 0 | 37 | 458 | 215 | 1 | 0 | 0.643 | 14 | 14 | 6 | 3 | 2 | 1 | |
2 | Kaapo Kahkonen | 6 | 3 | 3 | 0 | 0.916 | 2.83 | 360 | 0 | 0 | 17 | 202 | 122 | 0 | 0 | 0.000 | 0 | 6 | 14 | 1 | 1 | 1 | |
Team Total or Average | 20 | 10 | 8 | 2 | 0.918 | 2.67 | 1214 | 0 | 0 | 54 | 660 | 337 | 1 | 0 | 0.643 | 14 | 20 | 20 | 4 | 3 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 37 | 11 | 12 | 14 | 0 | 34 | 8 | 8 | 16 | 3 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 22 | 14 | 21 | 8 | 15 | 7 | 40.0% | 5.4% | 82.4% | 87.8 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 32 | 6 | 11 | 15 | 0 | 33 | 11 | 2 | 23 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 23 | 13 | 19 | 8 | 17 | 9 | 66.7% | 15.6% | 90.9% | 106.5 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 34 | 8 | 10 | 16 | 0 | 39 | 15 | 12 | 18 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 21 | 13 | 21 | 8 | 16 | 8 | 60.0% | 8.8% | 87.2% | 96.0 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 29 | 7 | 8 | 14 | 0 | 27 | 18 | 12 | 12 | 0 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 19 | 11 | 23 | 9 | 16 | 7 | 75.0% | 10.3% | 96.3% | 106.6 | LUCKY | |
5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 1 | 3 | 36 | 5 | 7 | 22 | 7 | 36 | 14 | 17 | 27 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 21 | 11 | 24 | 10 | 19 | 9 | 100.0% | 8.3% | 94.4% | 102.8 | DULL | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 27 | 4 | 8 | 15 | 0 | 36 | 12 | 15 | 16 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 20 | 11 | 21 | 8 | 17 | 9 | 50.0% | 11.1% | 86.1% | 97.2 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 6 | 8 | 14 | 0 | 32 | 9 | 10 | 22 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 20 | 11 | 22 | 9 | 16 | 7 | 100.0% | 7.1% | 96.9% | 104.0 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 7 | 9 | 9 | 0 | 29 | 5 | 10 | 19 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 20 | 11 | 21 | 9 | 17 | 8 | 0.0% | 0.0% | 86.2% | 86.2 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 32 | 10 | 10 | 12 | 0 | 34 | 14 | 8 | 18 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 19 | 11 | 23 | 9 | 17 | 8 | 60.0% | 15.6% | 91.2% | 106.8 | LUCKY | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 61 | 11 | 27 | 23 | 0 | 58 | 22 | 36 | 45 | 6 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 39 | 21 | 45 | 19 | 35 | 16 | 50.0% | 8.2% | 91.4% | 99.6 | DULL | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 11 | 11 | 15 | 0 | 41 | 9 | 16 | 24 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 21 | 12 | 21 | 9 | 17 | 8 | 20.0% | 2.7% | 87.8% | 90.5 | Unlucky | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 2 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 4 | 2 | 0 | 37 | 13 | 16 | 8 | 0 | 19 | 3 | 24 | 19 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 21 | 11 | 20 | 9 | 18 | 10 | 88.9% | 21.6% | 94.7% | 116.4 | LUCKY | |
13 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 65 | 13 | 22 | 27 | 5 | 72 | 21 | 12 | 40 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 47 | 28 | 42 | 18 | 34 | 17 | 60.0% | 4.6% | 95.8% | 100.4 | DULL | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 39 | 14 | 7 | 18 | 7 | 34 | 7 | 15 | 14 | 2 | 2 | 100.00% | 5 | 2 | 60.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 20 | 12 | 25 | 10 | 18 | 8 | 40.0% | 10.3% | 85.3% | 95.6 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 5 | 0 | 64 | 17 | 27 | 20 | 0 | 75 | 22 | 19 | 41 | 7 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 43 | 26 | 44 | 17 | 31 | 16 | 75.0% | 14.1% | 94.7% | 108.7 | LUCKY | |
16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 60 | 21 | 18 | 21 | 0 | 61 | 19 | 29 | 39 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 40 | 22 | 44 | 18 | 35 | 16 | 25.0% | 1.7% | 95.1% | 96.7 | DULL | |
_Vs Division | 6 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 18 | 22 | -4 | 5 | 0.417 | 18 | 30 | 48 | 0 | 0 | 2 | 5 | 10 | 3 | 197 | 42 | 59 | 94 | 14 | 203 | 70 | 95 | 120 | 14 | 2 | 14.29% | 31 | 9 | 70.97% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 122 | 68 | 138 | 58 | 108 | 51 | 55.2% | 9.1% | 89.2% | 98.3 | FUN | |
_Vs Conference | 13 | 5 | 6 | 0 | 0 | 0 | 1 | 1 | 36 | 38 | -2 | 13 | 0.500 | 36 | 61 | 97 | 0 | 0 | 6 | 9 | 20 | 3 | 418 | 103 | 134 | 179 | 14 | 445 | 140 | 171 | 269 | 32 | 3 | 9.38% | 49 | 13 | 73.47% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 272 | 156 | 290 | 120 | 226 | 110 | 56.9% | 8.6% | 91.5% | 100.1 | DULL | |
_Since Last GM Reset | 20 | 9 | 8 | 0 | 0 | 0 | 1 | 2 | 57 | 56 | 1 | 22 | 0.550 | 57 | 96 | 153 | 0 | 0 | 11 | 17 | 28 | 3 | 643 | 164 | 211 | 263 | 19 | 660 | 209 | 245 | 393 | 52 | 5 | 9.62% | 77 | 19 | 75.32% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 424 | 245 | 443 | 186 | 347 | 169 | 58.4% | 8.9% | 91.5% | 100.4 | Unlucky | |
Total | 20 | 9 | 8 | 0 | 0 | 0 | 1 | 2 | 57 | 56 | 1 | 22 | 0.550 | 57 | 96 | 153 | 0 | 0 | 11 | 17 | 28 | 3 | 643 | 164 | 211 | 263 | 19 | 660 | 209 | 245 | 393 | 52 | 5 | 9.62% | 77 | 19 | 75.32% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 424 | 245 | 443 | 186 | 347 | 169 | 58.4% | 8.9% | 91.5% | 100.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 434 |
Neutral Zone Start | 289 |
Defensive Zone Start | 496 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 604 |
Faceoffs Lost | 615 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.2 | 9.57 |
2nd Period | 18.8 | 20.31 |
3rd Period | 31.9 | 30.68 |
Overtime | 32.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 52 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 5 |
Lost | 5 | 3 |
Overtime Lost | 0 | 2 |
PP Attempt | 52 |
---|---|
PP Goal | 5 |
PK Attempt | 77 |
PK Goal Against | 19 |
Home | |
---|---|
Shots For | 32.2 |
Shots Against | 33.0 |
Goals For | 2.9 |
Goals Against | 2.8 |
Hits | 19.7 |
Shots Blocked | 10.5 |
Pim | 12.3 |
Projected Total Cap Hit | 82,214,841$ |
Projected Cap Space | 285,159$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 21,410,100$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Stars Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Larsson ![]() | D | 29 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Alex Galchenyuk ![]() | C/LW/RW | 28 | 750,000$ | 750,000$ | |||||||
Anders Lee ![]() | C/LW | 32 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||
Brady Tkachuk ![]() | LW | 23 | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | 8,330,674$ | ||
Buddy Robinson ![]() | RW | 31 | 750,000$ | 750,000$ | |||||||
Carter Verhaeghe ![]() | LW | 27 | 4,166,667$ | 4,166,667$ | 4,166,667$ | 4,166,667$ | |||||
Cole Sillinger ![]() | C | 19 | 925,000$ | 925,000$ | 925,000$ | ||||||
David Gustafsson ![]() | C/LW | 22 | 775,000$ | 775,000$ | 775,000$ | ||||||
Drew Doughty ![]() | D | 32 | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | 11,000,000$ | |||
Igor Shesterkin ![]() | G | 26 | 5,666,666$ | 5,666,667$ | 5,666,667$ | 5,666,667$ | |||||
J.T. Miller ![]() | C/LW/RW | 29 | 5,250,000$ | 5,250,000$ | |||||||
Jamie Oleksiak ![]() | D | 29 | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | ||||
Jonas Siegenthaler ![]() | D | 25 | 1,125,000$ | 1,125,000$ | |||||||
Kaapo Kahkonen ![]() | G | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | ||||||
Kevin Gravel ![]() | D | 30 | 762,500$ | 762,500$ | 762,500$ | ||||||
Michael Mcleod ![]() | C | 24 | 975,000$ | 975,000$ | |||||||
Mikko Rantanen ![]() | C/RW | 25 | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | |||||
Oskar Sundqvist ![]() | C/RW | 28 | 2,750,000$ | 2,750,000$ | |||||||
Philippe Myers ![]() | D | 25 | 2,550,000$ | 2,550,000$ | |||||||
Reese Johnson ![]() | C/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Sam Bennett ![]() | C | 26 | 4,425,000$ | 4,425,000$ | 4,425,000$ | 4,425,000$ | |||||
Victor Soderstrom ![]() | D | 21 | 863,333$ | 863,333$ | 863,333$ | ||||||
Warren Foegele ![]() | LW/RW | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ |
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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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 37 | 11 | 12 | 14 | 0 | 34 | 8 | 8 | 16 | 3 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 22 | 14 | 21 | 8 | 15 | 7 | 40.0% | 5.4% | 82.4% | 87.8 | Unlucky | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 1 | 3 | 0 | 32 | 6 | 11 | 15 | 0 | 33 | 11 | 2 | 23 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 23 | 13 | 19 | 8 | 17 | 9 | 66.7% | 15.6% | 90.9% | 106.5 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 2 | 1 | 0 | 34 | 8 | 10 | 16 | 0 | 39 | 15 | 12 | 18 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 21 | 13 | 21 | 8 | 16 | 8 | 60.0% | 8.8% | 87.2% | 96.0 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 0 | 3 | 0 | 29 | 7 | 8 | 14 | 0 | 27 | 18 | 12 | 12 | 0 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 19 | 11 | 23 | 9 | 16 | 7 | 75.0% | 10.3% | 96.3% | 106.6 | LUCKY | |
5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 1 | 3 | 36 | 5 | 7 | 22 | 7 | 36 | 14 | 17 | 27 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 21 | 11 | 24 | 10 | 19 | 9 | 100.0% | 8.3% | 94.4% | 102.8 | DULL | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 27 | 4 | 8 | 15 | 0 | 36 | 12 | 15 | 16 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 20 | 11 | 21 | 8 | 17 | 9 | 50.0% | 11.1% | 86.1% | 97.2 | FUN | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 28 | 6 | 8 | 14 | 0 | 32 | 9 | 10 | 22 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 20 | 11 | 22 | 9 | 16 | 7 | 100.0% | 7.1% | 96.9% | 104.0 | DULL | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 7 | 9 | 9 | 0 | 29 | 5 | 10 | 19 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 20 | 11 | 21 | 9 | 17 | 8 | 0.0% | 0.0% | 86.2% | 86.2 | Unlucky | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 1 | 2 | 0 | 32 | 10 | 10 | 12 | 0 | 34 | 14 | 8 | 18 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 19 | 11 | 23 | 9 | 17 | 8 | 60.0% | 15.6% | 91.2% | 106.8 | LUCKY | |
10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 61 | 11 | 27 | 23 | 0 | 58 | 22 | 36 | 45 | 6 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 39 | 21 | 45 | 19 | 35 | 16 | 50.0% | 8.2% | 91.4% | 99.6 | DULL | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 37 | 11 | 11 | 15 | 0 | 41 | 9 | 16 | 24 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 21 | 12 | 21 | 9 | 17 | 8 | 20.0% | 2.7% | 87.8% | 90.5 | Unlucky | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 2 | 1.000 | 8 | 13 | 21 | 0 | 0 | 2 | 4 | 2 | 0 | 37 | 13 | 16 | 8 | 0 | 19 | 3 | 24 | 19 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 21 | 11 | 20 | 9 | 18 | 10 | 88.9% | 21.6% | 94.7% | 116.4 | LUCKY | |
13 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 0 | 2 | 1 | 0 | 65 | 13 | 22 | 27 | 5 | 72 | 21 | 12 | 40 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 47 | 28 | 42 | 18 | 34 | 17 | 60.0% | 4.6% | 95.8% | 100.4 | DULL | |
14 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 0 | 1 | 3 | 0 | 39 | 14 | 7 | 18 | 7 | 34 | 7 | 15 | 14 | 2 | 2 | 100.00% | 5 | 2 | 60.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 20 | 12 | 25 | 10 | 18 | 8 | 40.0% | 10.3% | 85.3% | 95.6 | FUN | |
15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 2 | 2 | 5 | 0 | 64 | 17 | 27 | 20 | 0 | 75 | 22 | 19 | 41 | 7 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 43 | 26 | 44 | 17 | 31 | 16 | 75.0% | 14.1% | 94.7% | 108.7 | LUCKY | |
16 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 60 | 21 | 18 | 21 | 0 | 61 | 19 | 29 | 39 | 3 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 40 | 22 | 44 | 18 | 35 | 16 | 25.0% | 1.7% | 95.1% | 96.7 | DULL | |
_Vs Division | 6 | 1 | 3 | 0 | 0 | 0 | 1 | 1 | 18 | 22 | -4 | 5 | 0.417 | 18 | 30 | 48 | 0 | 0 | 2 | 5 | 10 | 3 | 197 | 42 | 59 | 94 | 14 | 203 | 70 | 95 | 120 | 14 | 2 | 14.29% | 31 | 9 | 70.97% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 122 | 68 | 138 | 58 | 108 | 51 | 55.2% | 9.1% | 89.2% | 98.3 | FUN | |
_Vs Conference | 13 | 5 | 6 | 0 | 0 | 0 | 1 | 1 | 36 | 38 | -2 | 13 | 0.500 | 36 | 61 | 97 | 0 | 0 | 6 | 9 | 20 | 3 | 418 | 103 | 134 | 179 | 14 | 445 | 140 | 171 | 269 | 32 | 3 | 9.38% | 49 | 13 | 73.47% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 272 | 156 | 290 | 120 | 226 | 110 | 56.9% | 8.6% | 91.5% | 100.1 | DULL | |
_Since Last GM Reset | 20 | 9 | 8 | 0 | 0 | 0 | 1 | 2 | 57 | 56 | 1 | 22 | 0.550 | 57 | 96 | 153 | 0 | 0 | 11 | 17 | 28 | 3 | 643 | 164 | 211 | 263 | 19 | 660 | 209 | 245 | 393 | 52 | 5 | 9.62% | 77 | 19 | 75.32% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 424 | 245 | 443 | 186 | 347 | 169 | 58.4% | 8.9% | 91.5% | 100.4 | Unlucky | |
Total | 20 | 9 | 8 | 0 | 0 | 0 | 1 | 2 | 57 | 56 | 1 | 22 | 0.550 | 57 | 96 | 153 | 0 | 0 | 11 | 17 | 28 | 3 | 643 | 164 | 211 | 263 | 19 | 660 | 209 | 245 | 393 | 52 | 5 | 9.62% | 77 | 19 | 75.32% | 0 | 215 | 434 | 49.54% | 242 | 496 | 48.79% | 147 | 289 | 50.87% | 424 | 245 | 443 | 186 | 347 | 169 | 58.4% | 8.9% | 91.5% | 100.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 17 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 434 |
Neutral Zone Start | 289 |
Defensive Zone Start | 496 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 604 |
Faceoffs Lost | 615 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 8.2 | 9.57 |
2nd Period | 18.8 | 20.31 |
3rd Period | 31.9 | 30.68 |
Overtime | 32.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.4 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 52 |
---|---|
PP Goal | 5 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 5 |
Lost | 5 | 3 |
Overtime Lost | 0 | 2 |
PP Attempt | 52 |
---|---|
PP Goal | 5 |
PK Attempt | 77 |
PK Goal Against | 19 |
Home | |
---|---|
Shots For | 32.2 |
Shots Against | 33.0 |
Goals For | 2.9 |
Goals Against | 2.8 |
Hits | 19.7 |
Shots Blocked | 10.5 |
Pim | 12.3 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-08 | @ | Blues2,Stars3 (SO) | RECAP | ||
2023-10-13 | @ | Stars0,Golden Knights1 | RECAP | ||
2023-10-15 | @ | Stars5,Ducks3 | RECAP | ||
2023-10-17 | @ | Flyers1,Stars3 | RECAP | ||
2023-10-20 | @ | Stars5,Penguins3 | RECAP | ||
2023-10-22 | @ | Maple Leafs4,Stars0 | RECAP | ||
2023-10-26 | @ | Blue Jackets1,Stars2 | RECAP | ||
2023-10-28 | @ | Stars4,Flames2 | RECAP | ||
2023-10-29 | @ | Stars1,Oilers5 | RECAP | ||
2023-10-31 | @ | Stars2,Canucks1 | RECAP | ||
2023-11-02 | @ | Bruins6,Stars2 | RECAP | ||
2023-11-05 | @ | Stars1,Blue Jackets2 (SO) | RECAP | ||
2023-11-07 | @ | Stars1,Jets3 | RECAP | ||
2023-11-08 | @ | Stars4,Wild5 (SO) | RECAP | ||
2023-11-10 | @ | Coyotes5,Stars3 | RECAP | ||
2023-11-14 | @ | Avalanche5,Stars3 | RECAP | ||
2023-11-16 | @ | Rangers1,Stars8 | RECAP | ||
2023-11-18 | @ | Golden Knights2,Stars1 | RECAP | ||
2023-11-20 | @ | Flames2,Stars5 | RECAP | ||
2023-11-24 | @ | Stars4,Jets2 | RECAP | ||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
82,214,841$ | 0$ | 82,214,841$ | 285,159$ |
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 | 56765 | 47185 | 19099 | 37916 | 9374 |
Attendance PCT | 94.61% | 94.37% | 95.50% | 94.79% | 93.74% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
31 | 17034 - 94.63% | 611,937$ | 6,119,370$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
82,214,841$ | 82,214,840$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
21,410,100$ | 82,214,841$ | 21,410,100$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
18,970,047$ | 142 | 428,202$ | 60,804,684$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
65,192,028$ | 82,214,841$ | -522,847,749$ | -569,069,730$ |
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 | |||||||
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Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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1 ballo dal 2023 | |||||
Aapeli Rasanen | 2016 | 142 | |||
Adam Gajan | 2023 | 27 | |||
Alban Eriksson | 2018 | 48 | |||
Alexei Melnichuk | Link | ||||
Andreas Borgman | Link | ||||
Beckett Hendrickson | 2023 | 123 | |||
Braden Hache | 2021 | 204 | |||
Bradly Nadeau | 2023 | 37 | |||
Brandon Gignac | |||||
Carl Lindbom | 2021 | 214 | |||
Casper Nassen | 2023 | 219 | |||
Chase Mclane | 2020 | 209 | |||
Corson Ceulemans | 2021 | 26 | |||
Cédric Paré | |||||
Danila Yurov | 2022 | 27 | |||
Danny DeKeyser | Link | ||||
David Spacek | 2022 | 135 | |||
Emil Jarventie | 2023 | 187 | |||
Emmett Croteau | 2022 | 167 | |||
Frederic Brunet | 2022 | 103 | |||
German Rubtsov | |||||
Hugo Alnefelt | 2019 | 83 | Link | ||
Ilya Safonov | 2021 | 140 | |||
Jan Bednar | 2020 | 84 | |||
John Beecher | 2019 | 35 | |||
Josh Jacobs | |||||
Judd Caulfield | 2019 | 107 | |||
Justin Ertel | 2021 | 88 | |||
Kirill Slepets | 2019 | 138 | |||
Linus Soderstrom | |||||
Matthew Rempe | 2020 | 168 | |||
Matthew Savoie | 2022 | 7 | |||
Michael Del Zotto | Link | ||||
Mikhail Grigorenko | Link | ||||
Mikhail Gulyayev | 2023 | 36 | |||
Mirco Mueller | |||||
Nikita Chibrikov | 2021 | 40 | |||
Patrik Hamrla | 2021 | 76 | |||
Riku Tohila | 2022 | 199 | |||
Rory Kerins | 2020 | 178 | |||
Ryan Chesley | 2022 | 39 | |||
Ryan Francis | 2020 | 147 | |||
Ryan Ufko | 2021 | 108 | |||
Sawyer Mynio | 2023 | 91 | |||
Serron Noel | 2018 | 35 | |||
Shamil Shmakov | 2018 | 190 | |||
Shane Lachance | 2021 | 172 | |||
Tim Gettinger | Link | ||||
Trent Miner | 2019 | 200 | |||
Ty Emberson | 2018 | 78 | |||
Ty Smilanic | 2020 | 70 | |||
Tyler Boucher | 2021 | 18 | |||
Tyler Kleven | 2020 | 54 | |||
Tyler Wall | 2016 | 172 | |||
Victor Brattstrom | 2018 | 128 | |||
Visa Vedenpaa | 2023 | 155 | |||
Zach Uens | 2020 | 116 | |||
Zion Nybeck | 2020 | 85 |
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