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Full Scoreboard >> |
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Full Scoreboard >> |
![]() | Toronto Hitmen 4-7-0, 8pts · 11th in Canadian Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 11 | C | 100.00 | 65 | 43 | 91 | 85 | 82 | 81 | 99 | 88 | 96 | 84 | 83 | 80 | 67 | 91 | 92 | 83 | 75 | 82 | 36 | 10,000,000$/2yrs | |||
![]() | 28 | C/LW/RW | 100.00 | 65 | 41 | 89 | 83 | 67 | 84 | 99 | 86 | 98 | 83 | 77 | 78 | 61 | 91 | 92 | 80 | 75 | 80 | 36 | 7,200,000$/1yrs | |||
![]() | 13 | C/LW/RW | 100.00 | 63 | 41 | 96 | 82 | 64 | 76 | 83 | 87 | 37 | 87 | 79 | 67 | 80 | 63 | 64 | 82 | 75 | 78 | 34 | 2,800,000$/1yrs | |||
![]() | 73 | C/LW/RW | 100.00 | 73 | 43 | 93 | 80 | 71 | 74 | 98 | 88 | 39 | 73 | 89 | 60 | 39 | 78 | 83 | 82 | 75 | 77 | 32 | 4,250,000$/2yrs | |||
![]() | 23 | C/LW/RW | 100.00 | 63 | 51 | 90 | 80 | 69 | 80 | 90 | 84 | 56 | 82 | 75 | 66 | 53 | 65 | 65 | 78 | 75 | 76 | 24 | 2,250,000$/2yrs | |||
![]() | 20 | C/LW | 100.00 | 78 | 55 | 89 | 85 | 81 | 76 | 98 | 89 | 92 | 72 | 80 | 71 | 25 | 69 | 71 | 77 | 75 | 76 | 29 | 2,700,000$/2yrs | |||
![]() | 8 | LW/RW | 100.00 | 67 | 51 | 87 | 85 | 61 | 68 | 99 | 78 | 30 | 76 | 75 | 70 | 45 | 71 | 71 | 75 | 75 | 73 | 28 | 4,950,000$/3yrs | |||
![]() | 16 | LW/RW | 100.00 | 63 | 41 | 91 | 79 | 65 | 65 | 66 | 71 | 44 | 68 | 79 | 63 | 75 | 52 | 52 | 74 | 75 | 71 | 23 | 825,000$/1yrs | |||
![]() | 46 | C/LW | 100.00 | 65 | 42 | 73 | 84 | 68 | 75 | 73 | 81 | 55 | 74 | 71 | 63 | 85 | 63 | 63 | 72 | 75 | 70 | 23 | 5,750,000$/3yrs | |||
![]() | 20 | C/RW | 100.00 | 77 | 45 | 92 | 71 | 82 | 64 | 78 | 64 | 39 | 63 | 70 | 80 | 25 | 60 | 61 | 67 | 75 | 69 | 25 | 775,000$/1yrs | |||
![]() | 37 | C/LW | 100.00 | 76 | 43 | 98 | 82 | 70 | 67 | 71 | 66 | 74 | 61 | 60 | 82 | 25 | 65 | 65 | 60 | 75 | 65 | 24 | 1,800,000$/1yrs | |||
![]() | 49 | LW | 100.00 | 75 | 43 | 95 | 74 | 64 | 63 | 76 | 65 | 38 | 64 | 56 | 81 | 25 | 54 | 54 | 59 | 75 | 64 | 25 | 1,100,000$/2yrs | |||
![]() | 74 | D | 100.00 | 71 | 44 | 85 | 82 | 80 | 95 | 78 | 92 | 25 | 72 | 53 | 94 | 63 | 85 | 91 | 83 | 75 | 88 | 34 | 8,000,000$/1yrs | |||
![]() | 29 | D | 100.00 | 69 | 64 | 64 | 85 | 74 | 87 | 87 | 83 | 25 | 75 | 60 | 67 | 25 | 69 | 70 | 79 | 75 | 76 | 27 | 7,350,000$/4yrs | |||
![]() | 76 | D | 100.00 | 73 | 44 | 85 | 83 | 77 | 83 | 98 | 69 | 25 | 69 | 60 | 83 | 25 | 75 | 78 | 69 | 75 | 75 | 30 | 5,250,000$/1yrs | |||
![]() | 2 | D | 100.00 | 78 | 56 | 86 | 77 | 94 | 78 | 96 | 65 | 25 | 52 | 47 | 95 | 25 | 74 | 75 | 59 | 75 | 74 | 31 | 2,350,000$/2yrs | |||
![]() | 55 | D | 100.00 | 80 | 44 | 86 | 79 | 70 | 78 | 87 | 61 | 25 | 53 | 48 | 86 | 25 | 67 | 69 | 57 | 75 | 69 | 26 | 1,500,000$/4yrs | |||
![]() | 81 | D | 100.00 | 57 | 40 | 93 | 75 | 65 | 68 | 81 | 62 | 25 | 49 | 50 | 84 | 25 | 46 | 46 | 56 | 75 | 67 | 24 | 925,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 21 | LW/RW | 100.00 | 78 | 43 | 81 | 86 | 65 | 62 | 91 | 68 | 25 | 62 | 81 | 64 | 25 | 63 | 63 | 73 | 75 | 70 | 23 | 1,100,000$/2yrs | |||
![]() | 82 | C | 100.00 | 75 | 44 | 78 | 75 | 78 | 63 | 94 | 64 | 86 | 55 | 66 | 86 | 25 | 63 | 64 | 61 | 75 | 66 | 27 | 1,000,000$/1yrs | |||
![]() | 5 | D | 100.00 | 76 | 56 | 71 | 79 | 74 | 70 | 79 | 65 | 25 | 50 | 49 | 85 | 79 | 88 | 89 | 58 | 75 | 69 | 40 | 800,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 71 | 46 | 86 | 81 | 72 | 74 | 87 | 75 | 47 | 68 | 67 | 76 | 44 | 69 | 70 | 71 | 75 | 73 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 30 | 100.00 | 70 | 88 | 84 | 84 | 66 | 74 | 74 | 73 | 75 | 70 | 95 | 62 | 64 | 81 | 75 | 82 | 25 | 4,000,000$/2yrs |
![]() | 40 | 100.00 | 73 | 56 | 55 | 63 | 79 | 66 | 69 | 72 | 78 | 73 | 75 | 48 | 48 | 80 | 75 | 74 | 25 | 1,050,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 72 | 70 | 74 | 73 | 70 | 72 | 73 | 77 | 72 | 85 | 55 | 56 | 81 | 75 | 78 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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General Manager | Michael Moniz |
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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 | Conor Garland | ![]() | 8 | LW/RW | 11 | 5 | 7 | 12 | 1 | 8 | 0 | 9 | 29 | 3 | 18 | 17.24% | 1 | 15.12 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 21.43% | 14 | 0 | 0 | 0 | 0 | 1.44 | 0 | 0 |
2 | John Carlson | ![]() | 74 | D | 11 | 3 | 9 | 12 | 0 | 6 | 0 | 12 | 28 | 6 | 11 | 10.71% | 10 | 23.42 | 3 | 3 | 6 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 |
3 | Claude Giroux | ![]() | 28 | C/LW/RW | 11 | 6 | 5 | 11 | 0 | 8 | 0 | 9 | 40 | 8 | 13 | 15.00% | 0 | 19.05 | 2 | 0 | 2 | 0 | 0 | 0 | 14 | 1 | 0 | 53.85% | 156 | 0 | 0 | 0 | 0 | 1.05 | 0 | 0 |
4 | Philipp Kurashev | ![]() | 23 | C/LW/RW | 11 | 4 | 3 | 7 | 0 | 2 | 0 | 7 | 32 | 6 | 12 | 12.50% | 0 | 16.75 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 1 | 0 | 10.00% | 10 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 |
5 | Anze Kopitar | ![]() | 11 | C | 11 | 3 | 4 | 7 | 0 | 2 | 0 | 10 | 43 | 7 | 27 | 6.98% | 0 | 19.89 | 2 | 1 | 3 | 1 | 0 | 1 | 25 | 0 | 0 | 65.86% | 290 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 |
6 | Nick Paul | ![]() | 20 | C/LW | 11 | 1 | 6 | 7 | -2 | 4 | 0 | 21 | 28 | 7 | 19 | 3.57% | 1 | 15.77 | 0 | 4 | 4 | 0 | 0 | 0 | 10 | 0 | 0 | 51.38% | 181 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 |
7 | Trevor Zegras | ![]() | 46 | C/LW | 11 | 3 | 3 | 6 | 0 | 2 | 0 | 12 | 27 | 6 | 16 | 11.11% | 0 | 13.49 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 29.41% | 51 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 |
8 | Vince Dunn | ![]() | 29 | D | 11 | 1 | 5 | 6 | 0 | 4 | 0 | 33 | 9 | 9 | 7 | 11.11% | 12 | 20.75 | 1 | 3 | 4 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 |
9 | Gustav Nyquist | ![]() | 13 | C/LW/RW | 11 | 3 | 2 | 5 | -1 | 0 | 0 | 11 | 33 | 10 | 30 | 9.09% | 1 | 17.57 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 15 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 |
10 | Jamie Oleksiak | ![]() | 2 | D | 11 | 1 | 3 | 4 | 3 | 4 | 0 | 22 | 11 | 0 | 3 | 9.09% | 12 | 19.57 | 0 | 0 | 0 | 0 | 1 | 1 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 |
11 | Tyler Toffoli | ![]() | 73 | C/LW/RW | 11 | 1 | 2 | 3 | -1 | 2 | 0 | 21 | 27 | 5 | 18 | 3.70% | 0 | 17.30 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 17.65% | 17 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
12 | Brady Skjei | ![]() | 76 | D | 11 | 0 | 3 | 3 | 0 | 10 | 0 | 18 | 7 | 0 | 3 | 0.00% | 10 | 17.29 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 |
13 | Mark Giordano | ![]() | 5 | D | 7 | 0 | 2 | 2 | -1 | 8 | 0 | 8 | 1 | 1 | 5 | 0.00% | 0 | 15.94 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 |
14 | Rafael Harvey-Pinard | ![]() | 49 | LW | 4 | 1 | 0 | 1 | 1 | 15 | 5 | 0 | 3 | 0 | 0 | 33.33% | 0 | 8.39 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 |
15 | Kevin Stenlund | ![]() | 82 | C | 9 | 0 | 1 | 1 | 0 | 4 | 0 | 5 | 5 | 2 | 11 | 0.00% | 3 | 12.57 | 0 | 0 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 53.53% | 170 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 |
16 | Ryan Lindgren | ![]() | 55 | D | 11 | 0 | 1 | 1 | -2 | 10 | 0 | 13 | 13 | 1 | 5 | 0.00% | 17 | 16.54 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 |
17 | Isac Lundestrom | ![]() | 37 | C/LW | 4 | 0 | 1 | 1 | -1 | 4 | 0 | 3 | 3 | 1 | 2 | 0.00% | 0 | 11.96 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 44.44% | 27 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 |
18 | Nils Hoglander | ![]() | 21 | LW/RW | 9 | 0 | 1 | 1 | 0 | 4 | 0 | 9 | 10 | 5 | 11 | 0.00% | 0 | 9.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14.29% | 7 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 |
19 | Pavel Dorofeyev | ![]() | 16 | LW/RW | 9 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 12 | 3 | 7 | 0.00% | 0 | 10.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 |
20 | Spencer Stastney | ![]() | 81 | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 1 | 0 | 1 | 0.00% | 7 | 17.32 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
21 | Brett Leason | ![]() | 20 | C/RW | 9 | 0 | 0 | 0 | -1 | 0 | 0 | 5 | 13 | 4 | 3 | 0.00% | 1 | 12.26 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 22.22% | 9 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 |
Team Total or Average | 198 | 32 | 59 | 91 | -6 | 97 | 5 | 233 | 375 | 84 | 222 | 8.53% | 75 | 16.27 | 11 | 19 | 30 | 323 | 1 | 1 | 2 | 285 | 4 | 1 | 52.68% | 951 | 0 | 0 | 0 | 0 | 0.56 | 0 | 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 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 | Jake Oettinger | ![]() | 8 | 3 | 5 | 0 | 0.894 | 3.13 | 480 | 6 | 0 | 25 | 236 | 0 | 1 | 0 | 0.000 | 0 | 8 | 3 | 0 | 0 | 0 |
2 | Daniil Tarasov | ![]() | 3 | 1 | 2 | 0 | 0.878 | 3.35 | 179 | 0 | 0 | 10 | 82 | 0 | 0 | 0 | 0.000 | 0 | 3 | 8 | 0 | 0 | 0 |
Team Total or Average | 11 | 4 | 7 | 0 | 0.890 | 3.19 | 659 | 6 | 0 | 35 | 318 | 0 | 1 | 0 | 0.000 | 0 | 11 | 11 | 0 | 0 | 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 |
# | 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 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.50 | -2.50 | 0 | 0.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 3 | 0 | 1 | 0 | 35.0 | 25 | 21 | 24 | 0 | 38.5 | 8.5 | 15.00 | 22.5 | 4.50 | 1.00 | 22.22% | 7.50 | 3.00 | 60.00% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.50 | 16.00 | 24.00 | 7.00 | 12.00 | 6.00 | 40.0% | 5.7% | 88.3% | 94.0 | Unlucky |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.50 | 3.50 | 4 | 1.000 | 5.0 | 9.5 | 14.5 | 0 | 0 | 1 | 3 | 6 | 0 | 31.0 | 21 | 14 | 27 | 0 | 23.5 | 5.0 | 8.00 | 28.0 | 6.00 | 1.50 | 25.00% | 4.00 | 0.50 | 87.50% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.00 | 16.00 | 24.00 | 7.00 | 12.00 | 6.00 | 77.8% | 16.1% | 93.6% | 109.7 | LUCKY |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 3.00 | -0.50 | 2 | 0.500 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 1 | 1 | 0 | 29.5 | 23 | 15 | 21 | 0 | 27.0 | 7.5 | 8.00 | 20.5 | 2.50 | 0.50 | 20.00% | 4.00 | 0.50 | 87.50% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 22.00 | 15.00 | 24.50 | 7.00 | 13.00 | 6.00 | 44.4% | 8.5% | 88.9% | 97.4 | Unlucky |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.50 | -2.50 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 0 | 2 | 2 | 0 | 31.5 | 16 | 25 | 22 | 0 | 32.0 | 8.0 | 12.50 | 20.5 | 2.50 | 0.50 | 20.00% | 3.50 | 1.00 | 71.43% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.50 | 17.00 | 23.50 | 7.00 | 12.00 | 5.50 | 30.0% | 6.3% | 85.9% | 92.3 | Unlucky |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 2 | 0 | 0 | 0 | 44.0 | 14 | 21 | 9 | 0 | 33.0 | 5.0 | 6.00 | 16.0 | 4.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 25.00 | 18.00 | 21.00 | 7.00 | 13.00 | 7.00 | 40.0% | 4.5% | 87.9% | 92.4 | Unlucky |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.00 | 1.50 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 4 | 1 | 2 | 0 | 38.5 | 20 | 27 | 30 | 0 | 21.5 | 6.0 | 5.00 | 17.0 | 4.00 | 2.00 | 50.00% | 2.50 | 1.00 | 60.00% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 25.00 | 17.50 | 22.00 | 7.50 | 12.50 | 6.00 | 60.0% | 9.1% | 90.7% | 99.8 | FUN |
_Vs Division | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 2.91 | 3.18 | -0.27 | 8 | 0.364 | 2.9 | 5.4 | 8.3 | 0 | 0 | 13 | 7 | 12 | 0 | 34.1 | 119 | 123 | 133 | 0 | 28.9 | 6.8 | 9.36 | 21.2 | 3.91 | 1.00 | 25.58% | 4.18 | 1.18 | 71.74% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.82 | 16.64 | 23.45 | 7.36 | 12.64 | 6.18 | 48.8% | 8.5% | 89.0% | 97.5 | Unlucky | |
_Vs Conference | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 2.91 | 3.18 | -0.27 | 8 | 0.364 | 2.9 | 5.4 | 8.3 | 0 | 0 | 13 | 7 | 12 | 0 | 34.1 | 119 | 123 | 133 | 0 | 28.9 | 6.8 | 9.36 | 21.2 | 3.91 | 1.00 | 25.58% | 4.18 | 1.18 | 71.74% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.82 | 16.64 | 23.45 | 7.36 | 12.64 | 6.18 | 48.8% | 8.5% | 89.0% | 97.5 | Unlucky | |
_Since Last GM Reset | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 2.91 | 3.18 | -0.27 | 8 | 0.364 | 2.9 | 5.4 | 8.3 | 0 | 0 | 13 | 7 | 12 | 0 | 34.1 | 119 | 123 | 133 | 0 | 28.9 | 6.8 | 9.36 | 21.2 | 3.91 | 1.00 | 25.58% | 4.18 | 1.18 | 71.74% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.82 | 16.64 | 23.45 | 7.36 | 12.64 | 6.18 | 48.8% | 8.5% | 89.0% | 97.5 | Unlucky | |
Total | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 2.91 | 3.18 | -0.27 | 8 | 0.364 | 2.9 | 5.4 | 8.3 | 0 | 0 | 13 | 7 | 12 | 0 | 34.1 | 119 | 123 | 133 | 0 | 28.9 | 6.8 | 9.36 | 21.2 | 3.91 | 1.00 | 25.58% | 4.18 | 1.18 | 71.74% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.82 | 16.64 | 23.45 | 7.36 | 12.64 | 6.18 | 48.8% | 8.5% | 89.0% | 97.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 416 |
Neutral Zone Start | 175 |
Defensive Zone Start | 360 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 501 |
Faceoffs Lost | 450 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 34.1 | 30.68 |
Overtime | 34.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 11 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 3 |
Lost | 5 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 43 |
---|---|
PP Goal | 11 |
PK Attempt | 46 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 34.1 |
Shots Against | 28.9 |
Goals For | 2.9 |
Goals Against | 3.2 |
Hits | 21.2 |
Shots Blocked | 6.8 |
Pim | 9.4 |
![]() | |
Total Salaries | 77,725,000$ |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players Signed (45 – 60) | 53 |
Goalies Signed (min. 6) | 6 |
Defensemen Signed (min. 16) | 17 |
LTIR Players | 0 |
Hitmen Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Anze Kopitar | C | 36 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA | |||||
Brady Skjei | D | 30 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||||
Brett Leason | C/RW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | ||||||
Claude Giroux | C/LW/RW | 36 | 7,200,000$ | 7,200,000$ | 7,200,000$ | UFA | ||||||
Conor Garland | LW/RW | 28 | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | UFA | ||||
Daniil Tarasov | G | 25 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | RFA | |||||
Gustav Nyquist | C/LW/RW | 34 | 2,800,000$ | 2,800,000$ | 2,800,000$ | UFA | ||||||
Isac Lundestrom | C/LW | 24 | 1,800,000$ | 1,800,000$ | 1,800,000$ | RFA | ||||||
Jake Oettinger | G | 25 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | RFA | |||||
Jamie Oleksiak | D | 31 | 2,350,000$ | 2,350,000$ | 2,350,000$ | 2,350,000$ | UFA | |||||
John Carlson | D | 34 | 8,000,000$ | 8,000,000$ | 8,000,000$ | UFA | ||||||
Kevin Stenlund | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||||
Mark Giordano | D | 40 | 800,000$ | 800,000$ | 800,000$ | UFA | ||||||
Nick Paul | C/LW | 29 | 2,700,000$ | 2,700,000$ | 2,700,000$ | 2,700,000$ | UFA | |||||
Nils Hoglander | LW/RW | 23 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Pavel Dorofeyev | LW/RW | 23 | 825,000$ | 825,000$ | 825,000$ | RFA | ||||||
Philipp Kurashev | C/LW/RW | 24 | 2,250,000$ | 2,250,000$ | 2,250,000$ | 2,250,000$ | RFA | |||||
Rafael Harvey-Pinard | LW | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Ryan Lindgren | D | 26 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||
Spencer Stastney | D | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | ||||||
Trevor Zegras | C/LW | 23 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | RFA | ||||
Tyler Toffoli | C/LW/RW | 32 | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA | |||||
Vince Dunn | D | 27 | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | 7,350,000$ | UFA |
Farm Roster | Pos | Age | Base Salary |
Cap Hit Remaining |
Season 43 |
Season 44 |
Season 45 |
Season 46 |
Season 47 |
Season 48 |
Season 49 |
Season 50 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Andreas Englund | D | 28 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Anttoni Honka | D | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Ben Hutton | D | 31 | 450,000$ | 45,000$ | 45,000$ | UFA | ||||||
Brandon Lisowsky | LW | 20 | 500,000$ | 50,000$ | 50,000$ | RFA | ||||||
Daniil Gushchin | RW | 22 | 828,334$ | 82,833$ | 82,833$ | 82,833$ | RFA | |||||
Daniil Isayev | G | 24 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Dmitri Ovchinnikov | C/LW | 21 | 835,000$ | 83,500$ | 83,500$ | RFA | ||||||
Graeme Clarke | RW | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Henrik Tikkanen | G | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Isaac Howard | LW | 20 | 875,000$ | 87,500$ | 87,500$ | 87,500$ | RFA | |||||
Isak Walther | RW | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jan Jenik | C/LW/RW | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jett Woo | D | 23 | 650,000$ | 65,000$ | 65,000$ | 65,000$ | RFA | |||||
John Ludvig | D | 23 | 450,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | 45,000$ | UFA | ||
Joni Jurmo | D | 22 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Jordan Oesterle | D | 32 | 475,000$ | 47,500$ | 47,500$ | UFA | ||||||
Justin Hryckowian | C | 23 | 1,000,000$ | 100,000$ | 100,000$ | 100,000$ | 100,000$ | 100,000$ | 100,000$ | UFA | ||
Marcus Kallionkieli | LW | 23 | 784,722$ | 78,472$ | 78,472$ | RFA | ||||||
Matias Mantykivi | C | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
Matthew Seminoff | RW | 20 | 475,000$ | 47,500$ | 47,500$ | RFA | ||||||
Mavrik Bourque | C | 22 | 894,167$ | 89,417$ | 89,417$ | 89,417$ | RFA | |||||
Pheonix Copley | G | 32 | 550,000$ | 55,000$ | 55,000$ | 55,000$ | 55,000$ | UFA | ||||
Raphael Lavoie | C/RW | 23 | 874,125$ | 87,413$ | 87,413$ | RFA | ||||||
Roni Hirvonen | LW/RW | 22 | 856,667$ | 85,667$ | 85,667$ | 85,667$ | RFA | |||||
Steven Lorentz | C/LW | 28 | 1,050,000$ | 105,000$ | 105,000$ | UFA | ||||||
Tomas Hamara | D | 20 | 625,000$ | 62,500$ | 62,500$ | 62,500$ | RFA | |||||
Topi Niemela | D | 22 | 856,667$ | 85,667$ | 85,667$ | 85,667$ | RFA | |||||
Tuukka Tieksola | RW | 23 | 823,333$ | 82,333$ | 82,333$ | RFA | ||||||
Vadim Zherenko | G | 23 | 450,000$ | 45,000$ | 45,000$ | RFA | ||||||
William Lagesson | D | 28 | 450,000$ | 45,000$ | 45,000$ | UFA |
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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 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.50 | -2.50 | 0 | 0.000 | 2.0 | 3.0 | 5.0 | 0 | 0 | 3 | 0 | 1 | 0 | 35.0 | 25 | 21 | 24 | 0 | 38.5 | 8.5 | 15.00 | 22.5 | 4.50 | 1.00 | 22.22% | 7.50 | 3.00 | 60.00% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.50 | 16.00 | 24.00 | 7.00 | 12.00 | 6.00 | 40.0% | 5.7% | 88.3% | 94.0 | Unlucky |
2 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.50 | 3.50 | 4 | 1.000 | 5.0 | 9.5 | 14.5 | 0 | 0 | 1 | 3 | 6 | 0 | 31.0 | 21 | 14 | 27 | 0 | 23.5 | 5.0 | 8.00 | 28.0 | 6.00 | 1.50 | 25.00% | 4.00 | 0.50 | 87.50% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.00 | 16.00 | 24.00 | 7.00 | 12.00 | 6.00 | 77.8% | 16.1% | 93.6% | 109.7 | LUCKY |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2.50 | 3.00 | -0.50 | 2 | 0.500 | 2.5 | 5.0 | 7.5 | 0 | 0 | 3 | 1 | 1 | 0 | 29.5 | 23 | 15 | 21 | 0 | 27.0 | 7.5 | 8.00 | 20.5 | 2.50 | 0.50 | 20.00% | 4.00 | 0.50 | 87.50% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 22.00 | 15.00 | 24.50 | 7.00 | 13.00 | 6.00 | 44.4% | 8.5% | 88.9% | 97.4 | Unlucky |
4 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.50 | -2.50 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 0 | 2 | 2 | 0 | 31.5 | 16 | 25 | 22 | 0 | 32.0 | 8.0 | 12.50 | 20.5 | 2.50 | 0.50 | 20.00% | 3.50 | 1.00 | 71.43% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.50 | 17.00 | 23.50 | 7.00 | 12.00 | 5.50 | 30.0% | 6.3% | 85.9% | 92.3 | Unlucky |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 4.00 | -2.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 2 | 0 | 0 | 0 | 44.0 | 14 | 21 | 9 | 0 | 33.0 | 5.0 | 6.00 | 16.0 | 4.00 | 0.00 | 0.00% | 3.00 | 1.00 | 66.67% | 0 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 25.00 | 18.00 | 21.00 | 7.00 | 13.00 | 7.00 | 40.0% | 4.5% | 87.9% | 92.4 | Unlucky |
6 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.50 | 2.00 | 1.50 | 2 | 0.500 | 3.5 | 6.0 | 9.5 | 0 | 0 | 4 | 1 | 2 | 0 | 38.5 | 20 | 27 | 30 | 0 | 21.5 | 6.0 | 5.00 | 17.0 | 4.00 | 2.00 | 50.00% | 2.50 | 1.00 | 60.00% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 25.00 | 17.50 | 22.00 | 7.50 | 12.50 | 6.00 | 60.0% | 9.1% | 90.7% | 99.8 | FUN |
_Vs Division | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 2.91 | 3.18 | -0.27 | 8 | 0.364 | 2.9 | 5.4 | 8.3 | 0 | 0 | 13 | 7 | 12 | 0 | 34.1 | 119 | 123 | 133 | 0 | 28.9 | 6.8 | 9.36 | 21.2 | 3.91 | 1.00 | 25.58% | 4.18 | 1.18 | 71.74% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.82 | 16.64 | 23.45 | 7.36 | 12.64 | 6.18 | 48.8% | 8.5% | 89.0% | 97.5 | Unlucky | |
_Vs Conference | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 2.91 | 3.18 | -0.27 | 8 | 0.364 | 2.9 | 5.4 | 8.3 | 0 | 0 | 13 | 7 | 12 | 0 | 34.1 | 119 | 123 | 133 | 0 | 28.9 | 6.8 | 9.36 | 21.2 | 3.91 | 1.00 | 25.58% | 4.18 | 1.18 | 71.74% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.82 | 16.64 | 23.45 | 7.36 | 12.64 | 6.18 | 48.8% | 8.5% | 89.0% | 97.5 | Unlucky | |
_Since Last GM Reset | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 2.91 | 3.18 | -0.27 | 8 | 0.364 | 2.9 | 5.4 | 8.3 | 0 | 0 | 13 | 7 | 12 | 0 | 34.1 | 119 | 123 | 133 | 0 | 28.9 | 6.8 | 9.36 | 21.2 | 3.91 | 1.00 | 25.58% | 4.18 | 1.18 | 71.74% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.82 | 16.64 | 23.45 | 7.36 | 12.64 | 6.18 | 48.8% | 8.5% | 89.0% | 97.5 | Unlucky | |
Total | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 2.91 | 3.18 | -0.27 | 8 | 0.364 | 2.9 | 5.4 | 8.3 | 0 | 0 | 13 | 7 | 12 | 0 | 34.1 | 119 | 123 | 133 | 0 | 28.9 | 6.8 | 9.36 | 21.2 | 3.91 | 1.00 | 25.58% | 4.18 | 1.18 | 71.74% | 1 | 222 | 416 | 53.37% | 186 | 360 | 51.67% | 93 | 175 | 53.14% | 23.82 | 16.64 | 23.45 | 7.36 | 12.64 | 6.18 | 48.8% | 8.5% | 89.0% | 97.5 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 416 |
Neutral Zone Start | 175 |
Defensive Zone Start | 360 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 501 |
Faceoffs Lost | 450 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 34.1 | 30.68 |
Overtime | 34.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.2 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 11 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 3 |
Lost | 5 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 43 |
---|---|
PP Goal | 11 |
PK Attempt | 46 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 34.1 |
Shots Against | 28.9 |
Goals For | 2.9 |
Goals Against | 3.2 |
Hits | 21.2 |
Shots Blocked | 6.8 |
Pim | 9.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | ![]() | @ | ![]() | FRE5,HIT2 | RECAP | |||||||||
6 | ![]() | @ | ![]() | BRA4,HIT2 | RECAP | |||||||||
8 | ![]() | @ | ![]() | HIT2,ROC4 | RECAP | |||||||||
10 | ![]() | @ | ![]() | HIT3,BRA2 | RECAP | |||||||||
13 | ![]() | @ | ![]() | THU1,HIT5 | RECAP | |||||||||
16 | ![]() | @ | ![]() | HIT5,THU2 | RECAP | |||||||||
19 | ![]() | @ | ![]() | KNI4,HIT2 | RECAP | |||||||||
23 | ![]() | @ | ![]() | ROC5,HIT2 | RECAP | |||||||||
24 | ![]() | @ | ![]() | HIT2,FRE4 | RECAP | |||||||||
Trade Deadline --- Trades can�t be done after this day is simulated! | ||||||||||||||
27 | ![]() | @ | ![]() | HIT5,GRI1 | RECAP | |||||||||
28 | ![]() | @ | ![]() | GRI3,HIT2 | RECAP | |||||||||
31 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
77,725,000$ | 0$ | 0$ | 83,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | ||
City | Toronto | ||
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$ | 20$ | 200$ |
Attendance | 0 | 0 | 0 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
77,725,000$ | 77,725,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 4 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 108,895,643$ | 108,895,643$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aram Minnetian | ![]() | 2023 | 105 | - | Link |
Carsen Musser | ![]() | 2023 | 163 | - | Link |
Domenic DiVincentiis | ![]() | 2024 | 197 | ||
Jayden Perron | ![]() | 2023 | 49 | - | Link |
Jimmy Clark | ![]() | 2023 | 189 | - | Link |
Kieron Walton | ![]() | 2024 | 55 | 0 | |
Kirill Kudryavtsev | ![]() | 2024 | 139 | 0 | |
Matthew Mania | ![]() | 2023 | 133 | - | Link |
Oliver Moore | ![]() | 2023 | 21 | - | Link |
Year | Round 1 | Round 2 | Round 3 | Round 4 | Round 5 | Round 6 | Round 7 |
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2025 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ||
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Aram Minnetian | ![]() | 2023 | 105 | - | Link |
Carsen Musser | ![]() | 2023 | 163 | - | Link |
Domenic DiVincentiis | ![]() | 2024 | 197 | ||
Jayden Perron | ![]() | 2023 | 49 | - | Link |
Jimmy Clark | ![]() | 2023 | 189 | - | Link |
Kieron Walton | ![]() | 2024 | 55 | 0 | |
Kirill Kudryavtsev | ![]() | 2024 | 139 | 0 | |
Matthew Mania | ![]() | 2023 | 133 | - | Link |
Oliver Moore | ![]() | 2023 | 21 | - | Link |
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