Chicago Wolves 39-36-7, 85pts · 10th in Eastern 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Carson Meyer (R) | RW | 100.00 | 72 | 37 | 80 | 47 | 74 | 83 | 76 | 48 | 55 | 48 | 47 | 57 | 63 | 65 | 67 | 58 | 52 | 25 | 700,000$/1yrs | |||||
Matt Moulson | LW | 100.00 | 69 | 33 | 81 | 43 | 78 | 85 | 70 | 42 | 68 | 46 | 44 | 61 | 66 | 79 | 84 | 66 | 52 | 39 | 800,000$/1yrs | |||||
Joe Snively (R) (A) | C | 100.00 | 56 | 36 | 82 | 47 | 73 | 86 | 78 | 48 | 56 | 50 | 50 | 57 | 62 | 66 | 68 | 66 | 52 | 27 | 700,000$/1yrs | |||||
Alexander True | C | 100.00 | 77 | 36 | 82 | 42 | 89 | 80 | 87 | 41 | 70 | 45 | 45 | 67 | 63 | 65 | 67 | 66 | 51 | 25 | 800,000$/1yrs | |||||
Brett Leason (R) | RW | 100.00 | 57 | 37 | 95 | 48 | 77 | 75 | 80 | 48 | 60 | 48 | 48 | 59 | 62 | 63 | 65 | 59 | 51 | 23 | 800,000$/2yrs | |||||
Alex Nylander | RW | 100.00 | 60 | 37 | 94 | 44 | 76 | 87 | 95 | 44 | 62 | 44 | 47 | 58 | 67 | 64 | 66 | 66 | 50 | 25 | 800,000$/1yrs | |||||
Alex Limoges | LW | 100.00 | 66 | 38 | 93 | 41 | 78 | 80 | 86 | 41 | 64 | 43 | 46 | 60 | 65 | 66 | 67 | 63 | 50 | 25 | 100,000$/8yrs | |||||
Brandon Biro | LW | 100.00 | 67 | 36 | 88 | 43 | 66 | 80 | 72 | 42 | 66 | 47 | 44 | 61 | 62 | 64 | 66 | 66 | 50 | 25 | 100,000$/8yrs | |||||
Luke Philp | RW | 100.00 | 59 | 37 | 91 | 42 | 69 | 77 | 81 | 42 | 58 | 44 | 46 | 62 | 63 | 67 | 69 | 66 | 50 | 27 | 100,000$/8yrs | |||||
Marc Michaelis | LW | 100.00 | 66 | 36 | 84 | 40 | 70 | 77 | 68 | 40 | 56 | 44 | 44 | 66 | 63 | 67 | 69 | 40 | 50 | 27 | 700,000$/1yrs | |||||
Devante Smith-Pelly | RW | 100.00 | 70 | 38 | 92 | 38 | 79 | 61 | 76 | 38 | 51 | 41 | 43 | 65 | 53 | 70 | 72 | 43 | 49 | 30 | 600,000$/1yrs | |||||
Brian Halonen | LW | 100.00 | 67 | 38 | 83 | 36 | 76 | 81 | 66 | 35 | 51 | 39 | 40 | 57 | 52 | 63 | 65 | 21 | 47 | 24 | 800,000$/2yrs | |||||
Hunter Drew | D | 100.00 | 76 | 34 | 58 | 34 | 79 | 78 | 86 | 33 | 30 | 44 | 45 | 69 | 51 | 64 | 66 | 66 | 51 | 24 | 700,000$/1yrs | |||||
Jack Ahcan | D | 100.00 | 63 | 35 | 92 | 34 | 67 | 85 | 76 | 33 | 30 | 44 | 44 | 66 | 53 | 65 | 67 | 56 | 50 | 25 | 100,000$/8yrs | |||||
Leon Gawanke | D | 100.00 | 66 | 38 | 84 | 34 | 75 | 77 | 89 | 34 | 30 | 45 | 42 | 65 | 52 | 63 | 65 | 66 | 50 | 23 | 100,000$/8yrs | |||||
Andreas Englund (R) | D | 100.00 | 72 | 46 | 61 | 31 | 81 | 63 | 85 | 31 | 30 | 41 | 38 | 62 | 45 | 66 | 68 | 25 | 49 | 27 | 100,000$/8yrs | |||||
Gustav Olofsson (A) | D | 100.00 | 71 | 40 | 78 | 32 | 80 | 69 | 71 | 31 | 30 | 41 | 39 | 64 | 46 | 68 | 70 | 53 | 49 | 28 | 100,000$/8yrs | |||||
Logan Day | D | 100.00 | 63 | 39 | 86 | 32 | 79 | 73 | 89 | 32 | 30 | 41 | 40 | 65 | 47 | 68 | 67 | 67 | 49 | 28 | 700,000$/1yrs | |||||
Scratches | ||||||||||||||||||||||||||
Josh Dickinson | C | 100.00 | 69 | 39 | 77 | 38 | 78 | 75 | 76 | 38 | 61 | 41 | 42 | 60 | 53 | 65 | 67 | 20 | 48 | 25 | 600,000$/1yrs | |||||
Jakub Pour (R) | RW | 100.00 | 74 | 34 | 86 | 37 | 83 | 69 | 72 | 36 | 55 | 39 | 42 | 60 | 58 | 63 | 65 | 20 | 48 | 23 | 100,000$/8yrs | |||||
Jordan Kawaguchi (R) | C | 100.00 | 57 | 36 | 83 | 39 | 66 | 75 | 77 | 38 | 68 | 44 | 41 | 61 | 56 | 65 | 67 | 20 | 48 | 25 | 100,000$/8yrs | |||||
Justin Almeida | LW | 100.00 | 56 | 35 | 93 | 36 | 65 | 71 | 74 | 36 | 56 | 38 | 40 | 59 | 56 | 63 | 62 | 20 | 46 | 24 | 100,000$/8yrs | |||||
Lukas Rousek (R) | RW | 100.00 | 58 | 36 | 92 | 36 | 68 | 74 | 65 | 36 | 52 | 41 | 39 | 60 | 59 | 63 | 65 | 20 | 46 | 23 | 100,000$/8yrs | |||||
Jeremy McKenna | RW | 100.00 | 56 | 37 | 89 | 35 | 65 | 72 | 66 | 34 | 54 | 39 | 38 | 57 | 57 | 63 | 65 | 20 | 45 | 23 | 600,000$/1yrs | |||||
Michael Krutil | D | 100.00 | 76 | 38 | 89 | 30 | 84 | 67 | 72 | 31 | 30 | 38 | 38 | 61 | 45 | 59 | 59 | 20 | 48 | 20 | 100,000$/8yrs | |||||
Matthew Kessel (R) | D | 100.00 | 72 | 38 | 83 | 31 | 81 | 66 | 64 | 30 | 30 | 40 | 38 | 62 | 45 | 62 | 64 | 20 | 48 | 22 | 100,000$/8yrs |
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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Josef Korenar | 98.00 | 74 | 82 | 74 | 90 | 71 | 73 | 73 | 74 | 74 | 72 | 72 | 64 | 71 | 39 | 63 | 25 | 800,000$/1yrs | ||
Matthew Murray | 100.00 | 70 | 81 | 70 | 90 | 66 | 70 | 71 | 69 | 68 | 68 | 67 | 64 | 71 | 43 | 60 | 25 | 700,000$/1yrs | ||
Scratches | ||||||||||||||||||||
Francis Marotte | 99.00 | 66 | 72 | 70 | 90 | 65 | 66 | 68 | 65 | 65 | 64 | 65 | 67 | 77 | 24 | 58 | 27 | 600,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jack Capuano | 74 | 65 | 65 | 64 | 83 | 77 | 65 | USA | 56 | 2 | 200,000$ |
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 | Alexander True | Wolves (CAR) | C | 82 | 25 | 41 | 66 | -10 | 34 | 0 | 184 | 255 | 68 | 191 | 9.80% | 29 | 22.:.46 | 3 | 5 | 8 | 0 | 1 | 1 | 146 | 2 | 0 | 49.77% | 2660 | 0 | 0 | 0 | 0 | 0.71 | 0 | 2 | |
2 | Joe Snively | Wolves (CAR) | C | 82 | 27 | 38 | 65 | -8 | 10 | 0 | 110 | 248 | 65 | 169 | 10.89% | 12 | 19.:.46 | 7 | 10 | 17 | 0 | 0 | 0 | 102 | 5 | 2 | 41.79% | 2113 | 0 | 0 | 0 | 0 | 0.80 | 1 | 1 | |
3 | Carson Meyer | Wolves (CAR) | RW | 80 | 25 | 33 | 58 | -11 | 20 | 0 | 113 | 272 | 74 | 194 | 9.19% | 14 | 20.:.45 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 3 | 3 | 38.76% | 129 | 0 | 0 | 0 | 1 | 0.70 | 2 | 6 | |
4 | Matt Moulson | Wolves (CAR) | LW | 80 | 13 | 38 | 51 | -14 | 18 | 0 | 140 | 254 | 73 | 165 | 5.12% | 25 | 23.:.23 | 2 | 6 | 8 | 0 | 1 | 1 | 152 | 6 | 0 | 50.55% | 275 | 0 | 0 | 0 | 0 | 0.55 | 0 | 6 | |
5 | Alex Nylander | Wolves (CAR) | RW | 82 | 16 | 25 | 41 | 1 | 10 | 0 | 86 | 197 | 40 | 149 | 8.12% | 7 | 17.:.33 | 4 | 10 | 14 | 0 | 0 | 0 | 20 | 3 | 3 | 48.70% | 115 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
6 | Hunter Drew | Wolves (CAR) | D | 82 | 11 | 27 | 38 | -8 | 62 | 0 | 268 | 111 | 40 | 77 | 9.91% | 128 | 23.:.54 | 1 | 3 | 4 | 0 | 0 | 0 | 114 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
7 | Brandon Biro | Wolves (CAR) | LW | 82 | 15 | 18 | 33 | 9 | 4 | 0 | 98 | 163 | 43 | 91 | 9.20% | 11 | 12.:.13 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 47.56% | 82 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
8 | Leon Gawanke | Wolves (CAR) | D | 82 | 10 | 22 | 32 | -15 | 22 | 0 | 113 | 61 | 23 | 49 | 16.39% | 98 | 20.:.28 | 3 | 5 | 8 | 1 | 0 | 1 | 113 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
9 | Luke Philp | Wolves (CAR) | RW | 82 | 10 | 19 | 29 | 1 | 2 | 0 | 41 | 120 | 31 | 84 | 8.33% | 6 | 11.:.28 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 0 | 40.23% | 87 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
10 | Marc Michaelis | Wolves (CAR) | LW | 77 | 12 | 13 | 25 | 5 | 6 | 0 | 68 | 119 | 29 | 75 | 10.08% | 11 | 10.:.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 44.89% | 969 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
11 | Logan Day | Wolves (CAR) | D | 82 | 4 | 19 | 23 | 8 | 21 | 5 | 97 | 44 | 12 | 27 | 9.09% | 86 | 15.:.30 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
12 | Jack Ahcan | Wolves (CAR) | D | 82 | 5 | 16 | 21 | 7 | 28 | 0 | 88 | 65 | 11 | 37 | 7.69% | 103 | 18.:.18 | 0 | 2 | 2 | 0 | 0 | 0 | 78 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | |
13 | Brett Leason | Wolves (CAR) | RW | 78 | 10 | 10 | 20 | -3 | 2 | 0 | 31 | 102 | 36 | 73 | 9.80% | 8 | 08.:.10 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 1 | 0 | 43.74% | 583 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | |
14 | Gustav Olofsson | Wolves (CAR) | D | 74 | 2 | 13 | 15 | -14 | 45 | 5 | 148 | 43 | 12 | 37 | 4.65% | 100 | 19.:.37 | 0 | 2 | 2 | 0 | 0 | 0 | 87 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | |
15 | Alex Limoges | Wolves (CAR) | LW | 82 | 4 | 10 | 14 | -4 | 13 | 5 | 61 | 65 | 19 | 58 | 6.15% | 8 | 07.:.41 | 0 | 1 | 1 | 0 | 0 | 0 | 41 | 1 | 0 | 46.30% | 54 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
16 | Devante Smith-Pelly | Wolves (CAR) | RW | 72 | 5 | 2 | 7 | 3 | 4 | 0 | 49 | 59 | 14 | 35 | 8.47% | 6 | 05.:.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 43.48% | 23 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
17 | Andreas Englund | Wolves (CAR) | D | 29 | 1 | 1 | 2 | 3 | 10 | 0 | 30 | 13 | 3 | 9 | 7.69% | 23 | 15.:.17 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | |
18 | Jakub Pour | Wolves (CAR) | RW | 10 | 1 | 1 | 2 | -3 | 0 | 0 | 8 | 7 | 0 | 4 | 14.29% | 1 | 05.:.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 27 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
19 | Brian Halonen | Wolves (CAR) | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 0 | 2 | 0.00% | 1 | 13.:.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
20 | Josh Dickinson | Wolves (CAR) | C | 5 | 0 | 0 | 0 | 1 | 4 | 0 | 6 | 5 | 1 | 2 | 0.00% | 0 | 11.:.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49.37% | 79 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
21 | Jordan Kawaguchi | Wolves (CAR) | C | 5 | 0 | 0 | 0 | -2 | 0 | 0 | 4 | 6 | 1 | 2 | 0.00% | 0 | 07.:.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.78% | 41 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 1334 | 196 | 346 | 542 | -54 | 315 | 15 | 1752 | 2212 | 595 | 1530 | 8.86% | 677 | 16.04 | 23 | 48 | 71 | 1341 | 1 | 2 | 3 | 921 | 28 | 14 | 45.87% | 7240 | 0 | 0 | 0 | 1 | 0.51 | 3 | 15 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matthew Murray | Wolves (CAR) | 38 | 19 | 17 | 2 | 91.7% | 2.65 | 2239 | 6 | 1 | 99 | 1187 | 0 | 0 | 1 | 85.7% | 7 | 37 | 31 | 4 | 1 | 1 |
2 | Josef Korenar | Wolves (CAR) | 42 | 17 | 17 | 5 | 90.2% | 3.23 | 2396 | 4 | 1 | 129 | 1323 | 0 | 1 | 0 | 84.6% | 13 | 40 | 18 | 5 | 3 | 2 |
3 | Francis Marotte | Wolves (CAR) | 7 | 3 | 2 | 0 | 93.3% | 2.23 | 323 | 0 | 0 | 12 | 178 | 0 | 0 | 0 | 0.0% | 0 | 5 | 33 | 0 | 0 | 1 |
Team Total or Average | 87 | 39 | 36 | 7 | 0.911 | 2.90 | 4958 | 10 | 2 | 240 | 2688 | 0 | 1 | 1 | 0.850 | 20 | 82 | 82 | 9 | 4 | 4 |
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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 |
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1 | Penguins | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 11 | 14 | -3 | 2 | 0.250 | 11 | 20 | 31 | 0 | 0 | 90 | 73 | 61 | 11 | 131 | 846 | 830 | 859 | 54 | 141 | 51 | 22 | 77 | 11 | 3 | 27.27% | 11 | 4 | 63.64% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 44.4% | 8.4% | 90.1% | 98.5 | Unlucky |
2 | Islanders | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 8 | 3 | 6 | 0.750 | 11 | 20 | 31 | 0 | 0 | 90 | 73 | 61 | 11 | 135 | 846 | 830 | 859 | 54 | 90 | 29 | 16 | 104 | 11 | 2 | 18.18% | 8 | 3 | 62.50% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 64.3% | 8.1% | 91.1% | 99.3 | Unlucky |
3 | Wolf Pack | 4 | 1 | 1 | 0 | 0 | 2 | 0 | 0 | 13 | 14 | -1 | 4 | 0.500 | 13 | 23 | 36 | 0 | 0 | 90 | 73 | 61 | 11 | 105 | 846 | 830 | 859 | 54 | 157 | 45 | 16 | 91 | 9 | 2 | 22.22% | 8 | 2 | 75.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 47.8% | 12.4% | 91.1% | 103.5 | Unlucky |
4 | Comets | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 9 | 4 | 6 | 0.750 | 13 | 25 | 38 | 0 | 0 | 90 | 73 | 61 | 11 | 132 | 846 | 830 | 859 | 54 | 122 | 36 | 13 | 98 | 8 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 59.1% | 9.8% | 92.6% | 102.5 | LUCKY |
5 | Phantoms | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 8 | 3 | 5 | 0.625 | 11 | 20 | 31 | 0 | 0 | 90 | 73 | 61 | 11 | 116 | 846 | 830 | 859 | 54 | 113 | 36 | 16 | 85 | 11 | 2 | 18.18% | 8 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 52.9% | 9.5% | 92.9% | 102.4 | LUCKY |
6 | Crunch | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 90 | 73 | 61 | 11 | 114 | 846 | 830 | 859 | 54 | 55 | 25 | 17 | 69 | 10 | 2 | 20.00% | 5 | 1 | 80.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 20.0% | 3.5% | 83.6% | 87.1 | Unlucky |
7 | Moose | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 90 | 73 | 61 | 11 | 70 | 846 | 830 | 859 | 54 | 64 | 15 | 0 | 47 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 50.0% | 8.6% | 90.6% | 99.2 | Unlucky |
8 | Bears | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 90 | 73 | 61 | 11 | 77 | 846 | 830 | 859 | 54 | 97 | 44 | 2 | 68 | 6 | 0 | 0.00% | 1 | 0 | 100.00% | 1 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 26.7% | 5.2% | 88.7% | 93.9 | Unlucky |
9 | Checkers | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 6 | 1 | 4 | 0.667 | 7 | 12 | 19 | 0 | 0 | 90 | 73 | 61 | 11 | 92 | 846 | 830 | 859 | 54 | 85 | 19 | 8 | 83 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 53.8% | 7.6% | 92.9% | 100.5 | DULL |
10 | Bruins | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 5 | 0.833 | 10 | 18 | 28 | 0 | 0 | 90 | 73 | 61 | 11 | 99 | 846 | 830 | 859 | 54 | 100 | 23 | 4 | 77 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 50.0% | 10.1% | 92.0% | 102.1 | LUCKY |
11 | Senators | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 16 | 25 | 0 | 0 | 90 | 73 | 61 | 11 | 81 | 846 | 830 | 859 | 54 | 116 | 44 | 14 | 76 | 6 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 50.0% | 11.1% | 92.2% | 103.4 | LUCKY |
12 | Rocket | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 90 | 73 | 61 | 11 | 103 | 846 | 830 | 859 | 54 | 109 | 34 | 14 | 68 | 10 | 1 | 10.00% | 7 | 2 | 71.43% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 46.2% | 6.8% | 91.7% | 98.5 | DULL |
13 | Americans | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 3 | 0.500 | 6 | 12 | 18 | 0 | 0 | 90 | 73 | 61 | 11 | 93 | 846 | 830 | 859 | 54 | 84 | 30 | 16 | 83 | 8 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 46.2% | 6.5% | 90.5% | 96.9 | Unlucky |
14 | Marlies | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 16 | -12 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 90 | 73 | 61 | 11 | 74 | 846 | 830 | 859 | 54 | 129 | 29 | 22 | 68 | 5 | 0 | 0.00% | 11 | 5 | 54.55% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 26.7% | 5.4% | 87.6% | 93.0 | Unlucky |
15 | Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 0 | 0.000 | 6 | 11 | 17 | 1 | 0 | 90 | 73 | 61 | 11 | 55 | 846 | 830 | 859 | 54 | 95 | 24 | 12 | 55 | 6 | 2 | 33.33% | 6 | 1 | 83.33% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 26.7% | 10.9% | 87.4% | 98.3 | FUN |
16 | Griffins | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 6 | 1.000 | 12 | 24 | 36 | 0 | 0 | 90 | 73 | 61 | 11 | 106 | 846 | 830 | 859 | 54 | 81 | 34 | 16 | 74 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 76.9% | 11.3% | 95.1% | 106.4 | LUCKY |
17 | IceHogs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 20 | 30 | 0 | 0 | 90 | 73 | 61 | 11 | 62 | 846 | 830 | 859 | 54 | 59 | 23 | 6 | 52 | 7 | 3 | 42.86% | 3 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 53.8% | 16.1% | 89.8% | 106.0 | FUN |
18 | Monsters | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 7 | 4 | 6 | 1.000 | 11 | 19 | 30 | 0 | 0 | 90 | 73 | 61 | 11 | 97 | 846 | 830 | 859 | 54 | 113 | 40 | 18 | 71 | 4 | 1 | 25.00% | 9 | 2 | 77.78% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 66.7% | 11.3% | 93.8% | 105.1 | LUCKY |
19 | Admirals | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 6 | 2 | 3 | 0.750 | 8 | 14 | 22 | 0 | 0 | 90 | 73 | 61 | 11 | 53 | 846 | 830 | 859 | 54 | 69 | 19 | 16 | 53 | 1 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 66.7% | 15.1% | 91.3% | 106.4 | LUCKY |
20 | Wild | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 90 | 73 | 61 | 11 | 66 | 846 | 830 | 859 | 54 | 93 | 27 | 6 | 46 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 50.0% | 7.6% | 94.6% | 102.2 | DULL |
21 | Condors | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 90 | 73 | 61 | 11 | 46 | 846 | 830 | 859 | 54 | 65 | 10 | 12 | 29 | 4 | 2 | 50.00% | 6 | 1 | 83.33% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 14.3% | 6.5% | 89.2% | 95.8 | Unlucky |
22 | Heat | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 90 | 73 | 61 | 11 | 74 | 846 | 830 | 859 | 54 | 60 | 12 | 14 | 43 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 46.2% | 8.1% | 88.3% | 96.4 | Unlucky |
23 | Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 90 | 73 | 61 | 11 | 68 | 846 | 830 | 859 | 54 | 61 | 12 | 8 | 55 | 7 | 1 | 14.29% | 2 | 1 | 50.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 0.0% | 1.5% | 95.1% | 96.6 | DULL |
24 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 90 | 73 | 61 | 11 | 65 | 846 | 830 | 859 | 54 | 73 | 15 | 4 | 47 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 41.7% | 9.2% | 89.0% | 98.3 | FUN |
25 | Reign | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 90 | 73 | 61 | 11 | 76 | 846 | 830 | 859 | 54 | 58 | 22 | 2 | 50 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 45.5% | 6.6% | 89.7% | 96.2 | Unlucky |
26 | Roadrunners | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 9 | -1 | 2 | 0.500 | 8 | 11 | 19 | 0 | 0 | 90 | 73 | 61 | 11 | 53 | 846 | 830 | 859 | 54 | 65 | 16 | 6 | 41 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 50.0% | 15.1% | 86.2% | 101.2 | FUN |
27 | Stars | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 9 | 16 | 0 | 0 | 90 | 73 | 61 | 11 | 51 | 846 | 830 | 859 | 54 | 82 | 24 | 12 | 44 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 58.3% | 13.7% | 91.5% | 105.2 | LUCKY |
28 | Gulls | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 1 | 90 | 73 | 61 | 11 | 51 | 846 | 830 | 859 | 54 | 63 | 26 | 13 | 36 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 55.6% | 9.8% | 93.7% | 103.5 | LUCKY |
29 | Barracuda | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 90 | 73 | 61 | 11 | 74 | 846 | 830 | 859 | 54 | 44 | 10 | 8 | 48 | 7 | 3 | 42.86% | 4 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 55.6% | 10.8% | 90.9% | 101.7 | FUN |
30 | Firebirds | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 10 | 16 | 0 | 1 | 90 | 73 | 61 | 11 | 78 | 846 | 830 | 859 | 54 | 60 | 12 | 6 | 51 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 71.4% | 7.7% | 96.7% | 104.4 | DULL |
31 | Silver Knights | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 90 | 73 | 61 | 11 | 71 | 846 | 830 | 859 | 54 | 86 | 23 | 4 | 42 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 43.8% | 12.7% | 88.4% | 101.0 | FUN |
_Vs Division | 26 | 12 | 10 | 0 | 0 | 3 | 1 | 0 | 74 | 71 | 3 | 29 | 0.558 | 74 | 134 | 208 | 0 | 0 | 90 | 73 | 61 | 11 | 793 | 846 | 830 | 859 | 54 | 833 | 281 | 103 | 594 | 60 | 10 | 16.67% | 49 | 11 | 77.55% | 1 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 51.6% | 9.3% | 91.5% | 100.8 | LUCKY | |
_Vs Conference | 50 | 22 | 21 | 0 | 1 | 5 | 1 | 0 | 133 | 140 | -7 | 53 | 0.530 | 133 | 241 | 374 | 0 | 0 | 90 | 73 | 61 | 11 | 1555 | 846 | 830 | 859 | 54 | 1592 | 519 | 214 | 1192 | 114 | 17 | 14.91% | 99 | 21 | 78.79% | 1 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 49.4% | 8.6% | 91.2% | 99.8 | DULL | |
_Since Last GM Reset | 82 | 31 | 36 | 0 | 3 | 6 | 5 | 1 | 232 | 242 | -10 | 85 | 0.518 | 232 | 411 | 643 | 1 | 2 | 90 | 73 | 61 | 11 | 2568 | 846 | 830 | 859 | 54 | 2689 | 809 | 343 | 1931 | 183 | 32 | 17.49% | 158 | 31 | 80.38% | 1 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 48.7% | 9.0% | 91.0% | 100.0 | FUN | |
Total | 82 | 31 | 36 | 0 | 3 | 6 | 5 | 1 | 232 | 242 | -10 | 85 | 0.518 | 232 | 411 | 643 | 1 | 2 | 90 | 73 | 61 | 11 | 2568 | 846 | 830 | 859 | 54 | 2689 | 809 | 343 | 1931 | 183 | 32 | 17.49% | 158 | 31 | 80.38% | 1 | 1355 | 2938 | 46.12% | 1365 | 3003 | 45.45% | 657 | 1352 | 48.59% | 1832 | 1175 | 1945 | 674 | 1190 | 585 | 48.7% | 9.0% | 91.0% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 14 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2938 |
Neutral Zone Start | 1352 |
Defensive Zone Start | 3003 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3377 |
Faceoffs Lost | 3916 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 20.4 | 20.31 |
3rd Period | 30.9 | 30.68 |
Overtime | 31.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 198 |
---|---|
PP Goal | 32 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 17 | 22 |
Lost | 19 | 17 |
Overtime Lost | 5 | 2 |
PP Attempt | 183 |
---|---|
PP Goal | 32 |
PK Attempt | 158 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 32.8 |
Goals For | 2.8 |
Goals Against | 3.0 |
Hits | 23.5 |
Shots Blocked | 9.9 |
Pim | 4.2 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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