Texas Stars 37-37-8, 82pts · 10th in Western Conference |
Player | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | MO | OV | AGE | CONTRACT | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Evgeny Svechnikov | LW | 100.00 | 69 | 42 | 85 | 48 | 86 | 78 | 82 | 50 | 61 | 52 | 52 | 61 | 70 | 68 | 67 | 62 | 54 | 26 | 900,000$/1yrs | |||||
John Hayden | C | 100.00 | 76 | 85 | 76 | 49 | 86 | 76 | 77 | 47 | 60 | 47 | 48 | 65 | 54 | 68 | 70 | 62 | 53 | 28 | 900,000$/2yrs | |||||
Zack MacEwen | C | 100.00 | 77 | 89 | 78 | 47 | 81 | 74 | 87 | 49 | 65 | 48 | 49 | 61 | 59 | 66 | 67 | 66 | 53 | 26 | 800,000$/1yrs | |||||
Reese Johnson | C | 100.00 | 89 | 74 | 92 | 48 | 76 | 74 | 75 | 46 | 78 | 48 | 47 | 65 | 59 | 64 | 66 | 51 | 53 | 24 | 800,000$/1yrs | |||||
Logan Shaw (C) | RW | 100.00 | 58 | 39 | 83 | 47 | 77 | 82 | 77 | 47 | 78 | 48 | 48 | 63 | 63 | 71 | 75 | 59 | 52 | 30 | 800,000$/2yrs | |||||
Jayson Megna (A) | C | 100.00 | 65 | 35 | 82 | 48 | 74 | 82 | 77 | 47 | 76 | 48 | 47 | 62 | 63 | 72 | 74 | 59 | 52 | 33 | 900,000$/1yrs | |||||
Jeffrey Viel | LW | 100.00 | 78 | 93 | 60 | 46 | 85 | 74 | 80 | 46 | 59 | 46 | 48 | 58 | 56 | 65 | 67 | 53 | 52 | 26 | 800,000$/1yrs | |||||
Scott Sabourin | RW | 100.00 | 76 | 82 | 58 | 39 | 87 | 73 | 69 | 38 | 53 | 44 | 43 | 63 | 58 | 70 | 72 | 59 | 50 | 30 | 800,000$/2yrs | |||||
Jeff Malott | LW | 100.00 | 75 | 51 | 68 | 41 | 84 | 75 | 80 | 41 | 61 | 43 | 46 | 62 | 59 | 66 | 68 | 60 | 50 | 26 | 600,000$/1yrs | |||||
Michael Dal Colle | LW | 100.00 | 72 | 38 | 88 | 44 | 82 | 81 | 70 | 40 | 58 | 46 | 44 | 61 | 65 | 66 | 68 | 59 | 50 | 26 | 800,000$/2yrs | |||||
Jesper Froden | RW | 100.00 | 62 | 37 | 82 | 42 | 66 | 89 | 80 | 41 | 63 | 44 | 46 | 62 | 69 | 68 | 70 | 59 | 50 | 28 | 800,000$/2yrs | |||||
Liam Foudy | C | 100.00 | 60 | 38 | 87 | 41 | 78 | 86 | 70 | 40 | 77 | 45 | 44 | 67 | 71 | 63 | 64 | 29 | 49 | 23 | 900,000$/2yrs | |||||
Josh Mahura | D | 100.00 | 75 | 35 | 88 | 36 | 80 | 85 | 80 | 37 | 30 | 48 | 48 | 72 | 54 | 63 | 65 | 57 | 53 | 24 | 900,000$/2yrs | |||||
Alexander Petrovic (A) | D | 100.00 | 80 | 71 | 73 | 33 | 90 | 74 | 88 | 32 | 30 | 42 | 40 | 64 | 48 | 70 | 72 | 59 | 51 | 31 | 900,000$/1yrs | |||||
Turner Ottenbreit | D | 100.00 | 73 | 39 | 74 | 32 | 82 | 67 | 88 | 32 | 30 | 43 | 38 | 66 | 46 | 65 | 67 | 59 | 50 | 25 | 600,000$/1yrs | |||||
Josh Jacobs | D | 100.00 | 71 | 39 | 86 | 33 | 80 | 69 | 75 | 33 | 30 | 42 | 40 | 63 | 50 | 66 | 67 | 59 | 49 | 27 | 100,000$/8yrs | |||||
Jerad Rosburg | D | 100.00 | 68 | 42 | 65 | 32 | 76 | 67 | 82 | 31 | 30 | 41 | 39 | 64 | 45 | 66 | 68 | 39 | 49 | 26 | 700,000$/1yrs | |||||
Filip Kral | D | 100.00 | 65 | 38 | 78 | 33 | 74 | 66 | 86 | 32 | 30 | 44 | 39 | 65 | 46 | 63 | 65 | 59 | 49 | 23 | 100,000$/8yrs | |||||
Scratches | ||||||||||||||||||||||||||
Tanner Kero | C | 100.00 | 58 | 36 | 96 | 47 | 74 | 77 | 80 | 48 | 67 | 50 | 48 | 63 | 56 | 70 | 72 | 19 | 52 | 30 | 900,000$/1yrs | |||||
Lias Andersson | C | 100.00 | 62 | 39 | 76 | 48 | 80 | 78 | 70 | 49 | 71 | 47 | 49 | 58 | 62 | 64 | 65 | 45 | 52 | 24 | 800,000$/2yrs | |||||
Joseph Cramarossa | C | 100.00 | 80 | 39 | 69 | 38 | 75 | 76 | 74 | 38 | 71 | 43 | 45 | 65 | 64 | 70 | 72 | 20 | 50 | 30 | 900,000$/1yrs | |||||
Jordy Bellerive | C | 100.00 | 62 | 43 | 64 | 38 | 71 | 79 | 87 | 37 | 66 | 43 | 41 | 62 | 62 | 63 | 65 | 20 | 48 | 23 | 100,000$/8yrs | |||||
Riley Sutter | C | 100.00 | 79 | 41 | 86 | 36 | 88 | 66 | 72 | 36 | 63 | 41 | 39 | 63 | 53 | 63 | 65 | 20 | 48 | 23 | 100,000$/8yrs | |||||
Drew Worrad | C | 100.00 | 68 | 38 | 89 | 36 | 77 | 71 | 63 | 35 | 65 | 41 | 38 | 59 | 53 | 65 | 67 | 20 | 47 | 25 | 800,000$/2yrs | |||||
Lukas Craggs | LW | 100.00 | 67 | 45 | 61 | 36 | 72 | 67 | 60 | 36 | 56 | 38 | 40 | 59 | 55 | 66 | 68 | 19 | 47 | 26 | 700,000$/1yrs | |||||
Keean Washkurak (R) | C | 100.00 | 58 | 39 | 82 | 38 | 67 | 75 | 80 | 37 | 63 | 41 | 44 | 62 | 54 | 61 | 63 | 20 | 47 | 21 | 100,000$/8yrs | |||||
Jake Slaker | C | 100.00 | 59 | 38 | 81 | 36 | 69 | 73 | 66 | 36 | 59 | 38 | 40 | 59 | 57 | 66 | 68 | 20 | 46 | 26 | 600,000$/1yrs | |||||
Nate Sucese | LW | 100.00 | 58 | 36 | 92 | 36 | 63 | 75 | 78 | 35 | 58 | 39 | 40 | 58 | 54 | 66 | 68 | 20 | 46 | 26 | 700,000$/1yrs | |||||
Josh Teves | D | 100.00 | 59 | 38 | 81 | 33 | 68 | 67 | 79 | 32 | 30 | 42 | 40 | 63 | 46 | 67 | 69 | 22 | 48 | 28 | 700,000$/1yrs | |||||
Wyatt Newpower | D | 100.00 | 73 | 34 | 75 | 31 | 82 | 65 | 81 | 31 | 30 | 40 | 39 | 61 | 45 | 65 | 67 | 19 | 48 | 25 | 800,000$/1yrs |
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 | MO | OV | AGE | CONTRACT | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Stuart Skinner | 98.00 | 84 | 89 | 81 | 93 | 80 | 84 | 85 | 82 | 84 | 82 | 82 | 64 | 71 | 44 | 70 | 24 | 800,000$/2yrs | ||
Andrew Hammond | 97.00 | 77 | 82 | 74 | 91 | 72 | 77 | 78 | 76 | 78 | 75 | 74 | 74 | 88 | 49 | 66 | 35 | 900,000$/1yrs | ||
Scratches | ||||||||||||||||||||
Devin Cooley | 100.00 | 71 | 82 | 74 | 94 | 68 | 69 | 72 | 70 | 71 | 69 | 70 | 65 | 73 | 20 | 61 | 25 | 900,000$/1yrs | ||
Callum Booth | 100.00 | 62 | 71 | 68 | 93 | 60 | 61 | 63 | 62 | 63 | 60 | 61 | 65 | 73 | 20 | 56 | 25 | 100,000$/8yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeff Halpern | 68 | 74 | 74 | 59 | 68 | 63 | 80 | USA | 46 | 2 | 200,000$ |
General Manager |
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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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | John Hayden | Stars (DAL) | C | 82 | 22 | 41 | 63 | 15 | 59 | 5 | 249 | 296 | 84 | 236 | 7.43% | 23 | 23.:.06 | 7 | 5 | 12 | 1 | 0 | 1 | 315 | 2 | 3 | 46.35% | 2850 | 0 | 0 | 1 | 0 | 0.67 | 0 | 5 | |
2 | Logan Shaw | Stars (DAL) | RW | 82 | 19 | 43 | 62 | 14 | 6 | 0 | 44 | 234 | 76 | 222 | 8.12% | 11 | 20.:.10 | 2 | 10 | 12 | 0 | 2 | 2 | 97 | 4 | 2 | 60.12% | 173 | 0 | 0 | 1 | 0 | 0.75 | 0 | 0 | |
3 | Jeffrey Viel | Stars (DAL) | LW | 82 | 28 | 28 | 56 | 1 | 106 | 10 | 236 | 258 | 72 | 165 | 10.85% | 11 | 18.:.46 | 5 | 8 | 13 | 0 | 2 | 2 | 161 | 3 | 2 | 43.80% | 121 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
4 | Jayson Megna | Stars (DAL) | C | 82 | 17 | 37 | 54 | -3 | 8 | 0 | 27 | 197 | 64 | 136 | 8.63% | 17 | 14.:.56 | 3 | 8 | 11 | 1 | 1 | 2 | 133 | 3 | 0 | 54.69% | 1534 | 0 | 0 | 0 | 0 | 0.88 | 1 | 3 | |
5 | Evgeny Svechnikov | Stars (DAL) | LW | 62 | 22 | 22 | 44 | 8 | 28 | 0 | 77 | 229 | 79 | 171 | 9.61% | 15 | 22.:.45 | 3 | 4 | 7 | 2 | 0 | 2 | 220 | 4 | 0 | 49.71% | 173 | 0 | 0 | 1 | 0 | 0.62 | 0 | 4 | |
6 | Josh Mahura | Stars (DAL) | D | 71 | 12 | 30 | 42 | 23 | 35 | 5 | 87 | 120 | 32 | 77 | 10.00% | 149 | 24.:.59 | 3 | 6 | 9 | 0 | 1 | 1 | 260 | 2 | 3 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
7 | Scott Sabourin | Stars (DAL) | RW | 82 | 13 | 25 | 38 | 0 | 46 | 0 | 180 | 165 | 42 | 112 | 7.88% | 13 | 15.:.59 | 2 | 3 | 5 | 0 | 0 | 0 | 31 | 1 | 2 | 39.29% | 84 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | |
8 | Zack MacEwen | Stars (DAL) | C | 82 | 11 | 18 | 29 | -3 | 51 | 15 | 113 | 193 | 54 | 153 | 5.70% | 9 | 12.:.36 | 0 | 3 | 3 | 0 | 0 | 0 | 23 | 2 | 0 | 47.55% | 1203 | 0 | 0 | 0 | 0 | 0.56 | 1 | 2 | |
9 | Reese Johnson | Stars (DAL) | C | 82 | 7 | 20 | 27 | -6 | 34 | 10 | 103 | 158 | 42 | 126 | 4.43% | 14 | 10.:.33 | 0 | 1 | 1 | 0 | 1 | 1 | 92 | 1 | 0 | 52.22% | 1105 | 0 | 0 | 0 | 0 | 0.62 | 1 | 3 | |
10 | Michael Dal Colle | Stars (DAL) | LW | 81 | 12 | 12 | 24 | 8 | 12 | 0 | 38 | 84 | 23 | 55 | 14.29% | 8 | 07.:.45 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 45.00% | 40 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | |
11 | Josh Jacobs | Stars (DAL) | D | 82 | 6 | 17 | 23 | -9 | 40 | 0 | 121 | 67 | 16 | 42 | 8.96% | 100 | 20.:.39 | 2 | 3 | 5 | 0 | 1 | 1 | 247 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
12 | Jesper Froden | Stars (DAL) | RW | 82 | 8 | 15 | 23 | -6 | 8 | 0 | 16 | 141 | 39 | 108 | 5.67% | 7 | 11.:.54 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 46.88% | 64 | 0 | 0 | 0 | 0 | 0.47 | 1 | 1 | |
13 | Jeff Malott | Stars (DAL) | LW | 82 | 9 | 11 | 20 | -12 | 53 | 5 | 107 | 141 | 42 | 121 | 6.38% | 17 | 13.:.13 | 0 | 0 | 0 | 1 | 0 | 1 | 57 | 1 | 0 | 46.75% | 77 | 0 | 0 | 0 | 0 | 0.37 | 0 | 1 | |
14 | Lias Andersson | Stars (DAL) | C | 77 | 10 | 10 | 20 | -8 | 0 | 0 | 16 | 110 | 36 | 64 | 9.09% | 7 | 06.:.58 | 0 | 2 | 2 | 0 | 0 | 0 | 1 | 2 | 0 | 34.48% | 29 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | |
15 | Filip Kral | Stars (DAL) | D | 82 | 6 | 14 | 20 | -12 | 40 | 0 | 102 | 40 | 13 | 32 | 15.00% | 78 | 15.:.29 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
16 | Turner Ottenbreit | Stars (DAL) | D | 82 | 5 | 14 | 19 | -8 | 66 | 0 | 193 | 49 | 19 | 33 | 10.20% | 93 | 19.:.55 | 1 | 0 | 1 | 1 | 1 | 2 | 201 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
17 | Alexander Petrovic | Stars (DAL) | D | 82 | 5 | 14 | 19 | 16 | 98 | 0 | 268 | 61 | 22 | 48 | 8.20% | 111 | 23.:.43 | 0 | 0 | 0 | 0 | 0 | 0 | 257 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | |
18 | Jerad Rosburg | Stars (DAL) | D | 65 | 2 | 5 | 7 | -7 | 55 | 5 | 131 | 32 | 10 | 19 | 6.25% | 55 | 16.:.13 | 2 | 0 | 2 | 0 | 0 | 0 | 81 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | |
19 | Wyatt Newpower | Stars (DAL) | D | 21 | 0 | 2 | 2 | 2 | 4 | 0 | 29 | 2 | 7 | 5 | 0.00% | 27 | 15.:.22 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.12 | 0 | 0 | |
20 | Josh Teves | Stars (DAL) | D | 7 | 1 | 0 | 1 | 1 | 2 | 0 | 5 | 1 | 2 | 4 | 100.00% | 5 | 15.:.52 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | |
21 | Lukas Craggs | Stars (DAL) | LW | 20 | 0 | 1 | 1 | -8 | 2 | 0 | 13 | 6 | 3 | 6 | 0.00% | 1 | 06.:.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | |
22 | Tanner Kero | Stars (DAL) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 00.:.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
23 | Liam Foudy | Stars (DAL) | C | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0.00% | 0 | 06.:.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1476 | 215 | 379 | 594 | 6 | 753 | 55 | 2155 | 2589 | 779 | 1938 | 8.30% | 771 | 16.35 | 31 | 53 | 84 | 1587 | 6 | 9 | 15 | 2287 | 33 | 13 | 49.37% | 7460 | 0 | 0 | 3 | 0 | 0.49 | 4 | 19 |
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 |
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1 | Stuart Skinner | Stars (DAL) | 57 | 28 | 22 | 4 | 91.8% | 2.63 | 3303 | 6 | 2 | 145 | 1772 | 0 | 2 | 1 | 93.7% | 16 | 55 | 27 | 8 | 6 | 1 |
2 | Andrew Hammond | Stars (DAL) | 30 | 9 | 15 | 4 | 91.6% | 3.01 | 1657 | 6 | 0 | 83 | 986 | 0 | 2 | 3 | 100.0% | 3 | 27 | 55 | 4 | 4 | 0 |
Team Total or Average | 87 | 37 | 37 | 8 | 0.917 | 2.76 | 4960 | 12 | 2 | 228 | 2758 | 0 | 4 | 4 | 0.947 | 19 | 82 | 82 | 12 | 10 | 1 |
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Priority | Type | Description |
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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 |
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1 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 91 | 42 | 78 | 8 | 60 | 866 | 847 | 838 | 57 | 78 | 20 | 18 | 46 | 4 | 1 | 25.00% | 9 | 4 | 55.56% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 57.1% | 8.3% | 91.0% | 99.4 | Unlucky |
2 | Islanders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 91 | 42 | 78 | 8 | 46 | 866 | 847 | 838 | 57 | 62 | 15 | 22 | 58 | 5 | 2 | 40.00% | 11 | 1 | 90.91% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 42.9% | 10.9% | 91.9% | 102.8 | LUCKY |
3 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 91 | 42 | 78 | 8 | 66 | 866 | 847 | 838 | 57 | 57 | 16 | 10 | 53 | 6 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 25.0% | 1.5% | 91.2% | 92.7 | DULL |
4 | Comets | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 91 | 42 | 78 | 8 | 73 | 866 | 847 | 838 | 57 | 78 | 17 | 22 | 53 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 40.0% | 8.2% | 91.0% | 99.2 | Unlucky |
5 | Phantoms | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 91 | 42 | 78 | 8 | 67 | 866 | 847 | 838 | 57 | 63 | 11 | 14 | 63 | 5 | 2 | 40.00% | 6 | 0 | 100.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 66.7% | 9.0% | 96.8% | 105.8 | LUCKY |
6 | Wolves | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 91 | 42 | 78 | 8 | 82 | 866 | 847 | 838 | 57 | 51 | 19 | 6 | 47 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 41.7% | 8.5% | 86.3% | 94.8 | Unlucky |
7 | Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 91 | 42 | 78 | 8 | 65 | 866 | 847 | 838 | 57 | 62 | 17 | 14 | 61 | 7 | 1 | 14.29% | 7 | 1 | 85.71% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 57.1% | 7.7% | 93.5% | 101.2 | DULL |
8 | Moose | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 11 | 13 | -2 | 2 | 0.333 | 11 | 18 | 29 | 1 | 0 | 91 | 42 | 78 | 8 | 93 | 866 | 847 | 838 | 57 | 99 | 24 | 36 | 83 | 2 | 0 | 0.00% | 10 | 2 | 80.00% | 1 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 50.0% | 11.8% | 86.9% | 98.7 | FUN |
9 | Bears | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 91 | 42 | 78 | 8 | 62 | 866 | 847 | 838 | 57 | 68 | 14 | 10 | 49 | 3 | 0 | 0.00% | 5 | 3 | 40.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 63.6% | 11.3% | 89.7% | 101.0 | FUN |
10 | Checkers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 91 | 42 | 78 | 8 | 73 | 866 | 847 | 838 | 57 | 71 | 17 | 24 | 51 | 6 | 2 | 33.33% | 12 | 1 | 91.67% | 1 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 50.0% | 11.0% | 90.1% | 101.1 | FUN |
11 | Bruins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 91 | 42 | 78 | 8 | 82 | 866 | 847 | 838 | 57 | 64 | 22 | 16 | 71 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 58.3% | 9.8% | 89.1% | 98.8 | FUN |
12 | Senators | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 91 | 42 | 78 | 8 | 41 | 866 | 847 | 838 | 57 | 67 | 16 | 18 | 52 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 25.0% | 2.4% | 94.0% | 96.5 | DULL |
13 | Rocket | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 91 | 42 | 78 | 8 | 51 | 866 | 847 | 838 | 57 | 77 | 21 | 26 | 54 | 5 | 0 | 0.00% | 12 | 2 | 83.33% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 40.0% | 3.9% | 93.5% | 97.4 | DULL |
14 | Americans | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 91 | 42 | 78 | 8 | 61 | 866 | 847 | 838 | 57 | 70 | 18 | 16 | 51 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 22.2% | 3.3% | 88.6% | 91.9 | Unlucky |
15 | Marlies | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 9 | 14 | 0 | 1 | 91 | 42 | 78 | 8 | 75 | 866 | 847 | 838 | 57 | 71 | 30 | 20 | 40 | 6 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 55.6% | 6.7% | 93.0% | 99.6 | DULL |
16 | Thunderbirds | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 6 | 1.000 | 11 | 19 | 30 | 0 | 0 | 91 | 42 | 78 | 8 | 107 | 866 | 847 | 838 | 57 | 135 | 42 | 28 | 93 | 3 | 2 | 66.67% | 14 | 1 | 92.86% | 1 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 64.3% | 10.3% | 95.6% | 105.8 | LUCKY |
17 | Griffins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 91 | 42 | 78 | 8 | 75 | 866 | 847 | 838 | 57 | 44 | 14 | 16 | 45 | 8 | 2 | 25.00% | 8 | 0 | 100.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 50.0% | 6.7% | 93.2% | 99.8 | DULL |
18 | IceHogs | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 6 | 0.750 | 12 | 22 | 34 | 0 | 0 | 91 | 42 | 78 | 8 | 129 | 866 | 847 | 838 | 57 | 123 | 28 | 34 | 93 | 9 | 0 | 0.00% | 16 | 1 | 93.75% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 57.1% | 9.3% | 91.9% | 101.2 | LUCKY |
19 | Monsters | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 4 | 7 | 11 | 0 | 0 | 91 | 42 | 78 | 8 | 59 | 866 | 847 | 838 | 57 | 74 | 22 | 12 | 54 | 4 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 44.4% | 6.8% | 91.9% | 98.7 | DULL |
20 | Admirals | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 8 | 2 | 6 | 0.750 | 10 | 15 | 25 | 0 | 0 | 91 | 42 | 78 | 8 | 122 | 866 | 847 | 838 | 57 | 125 | 35 | 14 | 114 | 7 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 55.6% | 8.2% | 93.6% | 101.8 | DULL |
21 | Wild | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 11 | 1 | 4 | 0.500 | 12 | 20 | 32 | 1 | 0 | 91 | 42 | 78 | 8 | 110 | 866 | 847 | 838 | 57 | 122 | 32 | 43 | 112 | 5 | 1 | 20.00% | 13 | 2 | 84.62% | 1 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 55.0% | 10.9% | 91.0% | 101.9 | FUN |
22 | Condors | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 91 | 42 | 78 | 8 | 95 | 866 | 847 | 838 | 57 | 106 | 35 | 16 | 68 | 9 | 2 | 22.22% | 8 | 0 | 100.00% | 1 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 43.8% | 9.5% | 91.5% | 101.0 | LUCKY |
23 | Heat | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 0 | 0.000 | 8 | 11 | 19 | 1 | 0 | 91 | 42 | 78 | 8 | 98 | 866 | 847 | 838 | 57 | 87 | 22 | 33 | 97 | 3 | 1 | 33.33% | 9 | 2 | 77.78% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 38.9% | 8.2% | 85.1% | 93.2 | Unlucky |
24 | Canucks | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 91 | 42 | 78 | 8 | 90 | 866 | 847 | 838 | 57 | 101 | 20 | 26 | 67 | 5 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 38.5% | 5.6% | 89.1% | 94.7 | Unlucky |
25 | Eagles | 4 | 0 | 3 | 0 | 0 | 1 | 0 | 0 | 8 | 14 | -6 | 1 | 0.125 | 8 | 16 | 24 | 0 | 0 | 91 | 42 | 78 | 8 | 136 | 866 | 847 | 838 | 57 | 143 | 45 | 38 | 93 | 6 | 2 | 33.33% | 17 | 3 | 82.35% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 35.3% | 5.9% | 90.2% | 96.1 | Unlucky |
26 | Reign | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 91 | 42 | 78 | 8 | 92 | 866 | 847 | 838 | 57 | 95 | 46 | 43 | 73 | 7 | 1 | 14.29% | 12 | 1 | 91.67% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 57.1% | 9.8% | 92.6% | 102.4 | LUCKY |
27 | Roadrunners | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 18 | -6 | 2 | 0.250 | 12 | 20 | 32 | 1 | 0 | 91 | 42 | 78 | 8 | 117 | 866 | 847 | 838 | 57 | 159 | 42 | 53 | 103 | 10 | 2 | 20.00% | 24 | 6 | 75.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 45.5% | 10.3% | 88.7% | 98.9 | FUN |
28 | Gulls | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.500 | 8 | 16 | 24 | 0 | 0 | 91 | 42 | 78 | 8 | 78 | 866 | 847 | 838 | 57 | 109 | 25 | 30 | 63 | 8 | 1 | 12.50% | 15 | 2 | 86.67% | 1 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 58.3% | 10.3% | 93.6% | 103.8 | LUCKY |
29 | Barracuda | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 10 | 15 | 25 | 0 | 0 | 91 | 42 | 78 | 8 | 93 | 866 | 847 | 838 | 57 | 82 | 22 | 37 | 70 | 8 | 3 | 37.50% | 16 | 3 | 81.25% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 63.6% | 10.8% | 91.5% | 102.2 | LUCKY |
30 | Firebirds | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 3 | 4 | 6 | 1.000 | 7 | 13 | 20 | 0 | 0 | 91 | 42 | 78 | 8 | 77 | 866 | 847 | 838 | 57 | 111 | 36 | 36 | 88 | 5 | 0 | 0.00% | 18 | 2 | 88.89% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 87.5% | 9.1% | 97.3% | 106.4 | LUCKY |
31 | Silver Knights | 3 | 0 | 0 | 0 | 1 | 0 | 2 | 0 | 10 | 7 | 3 | 6 | 1.000 | 10 | 14 | 24 | 0 | 0 | 91 | 42 | 78 | 8 | 114 | 866 | 847 | 838 | 57 | 108 | 28 | 34 | 90 | 8 | 1 | 12.50% | 8 | 0 | 100.00% | 0 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 56.3% | 8.8% | 93.5% | 102.3 | DULL |
_Vs Division | 26 | 11 | 12 | 0 | 1 | 1 | 1 | 0 | 76 | 80 | -4 | 27 | 0.519 | 76 | 130 | 206 | 3 | 0 | 91 | 42 | 78 | 8 | 814 | 866 | 847 | 838 | 57 | 906 | 248 | 246 | 691 | 42 | 7 | 16.67% | 101 | 15 | 85.15% | 3 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 51.5% | 9.3% | 91.2% | 100.5 | LUCKY | |
_Vs Conference | 50 | 19 | 21 | 0 | 3 | 4 | 3 | 0 | 142 | 144 | -2 | 54 | 0.540 | 142 | 240 | 382 | 4 | 0 | 91 | 42 | 78 | 8 | 1551 | 866 | 847 | 838 | 57 | 1705 | 482 | 501 | 1307 | 95 | 16 | 16.84% | 199 | 28 | 85.93% | 5 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 52.1% | 9.2% | 91.6% | 100.7 | LUCKY | |
_Since Last GM Reset | 82 | 29 | 37 | 0 | 4 | 7 | 4 | 1 | 219 | 233 | -14 | 82 | 0.500 | 219 | 379 | 598 | 4 | 2 | 91 | 42 | 78 | 8 | 2589 | 866 | 847 | 838 | 57 | 2762 | 771 | 765 | 2155 | 180 | 31 | 17.22% | 325 | 49 | 84.92% | 6 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 50.5% | 8.5% | 91.6% | 100.0 | DULL | |
Total | 82 | 29 | 37 | 0 | 4 | 7 | 4 | 1 | 219 | 233 | -14 | 82 | 0.500 | 219 | 379 | 598 | 4 | 2 | 91 | 42 | 78 | 8 | 2589 | 866 | 847 | 838 | 57 | 2762 | 771 | 765 | 2155 | 180 | 31 | 17.22% | 325 | 49 | 84.92% | 6 | 1465 | 2907 | 50.40% | 1562 | 3142 | 49.71% | 656 | 1332 | 49.25% | 1848 | 1177 | 1948 | 676 | 1172 | 569 | 50.5% | 8.5% | 91.6% | 100.0 | DULL |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 14 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2907 |
Neutral Zone Start | 1332 |
Defensive Zone Start | 3142 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 3683 |
Faceoffs Lost | 3698 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.6 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 31.1 | 30.68 |
Overtime | 31.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.6 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 178 |
---|---|
PP Goal | 31 |
PK Goal | 6 |
Empty Net Goal | 4 |
Home | Away | |
---|---|---|
Win | 18 | 19 |
Lost | 18 | 19 |
Overtime Lost | 5 | 3 |
PP Attempt | 180 |
---|---|
PP Goal | 31 |
PK Attempt | 325 |
PK Goal Against | 49 |
Home | |
---|---|
Shots For | 31.6 |
Shots Against | 33.7 |
Goals For | 2.7 |
Goals Against | 2.8 |
Hits | 26.3 |
Shots Blocked | 9.4 |
Pim | 9.3 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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