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Full Scoreboard >> |
![]() | Hamilton Space Invaders 9-3-0, 18pts · 2nd in Lemieux Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 100.00 | 63 | 65 | 86 | 76 | 64 | 62 | 92 | 68 | 89 | 71 | 60 | 64 | 25 | 57 | 58 | 65 | 75 | 64 | 24 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 76 | 73 | 83 | 69 | 73 | 69 | 72 | 64 | 85 | 61 | 65 | 65 | 61 | 41 | 41 | 63 | 75 | 64 | 24 | 475,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 74 | 68 | 88 | 65 | 68 | 77 | 82 | 63 | 68 | 58 | 63 | 53 | 60 | 40 | 40 | 61 | 75 | 61 | 24 | 834,167$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 63 | 87 | 67 | 63 | 74 | 78 | 61 | 68 | 59 | 58 | 64 | 55 | 32 | 32 | 58 | 75 | 61 | 23 | 525,000$/1yrs | |||
![]() | 0 | C | 100.00 | 78 | 72 | 90 | 64 | 73 | 77 | 82 | 60 | 85 | 57 | 58 | 61 | 55 | 39 | 39 | 58 | 75 | 60 | 24 | 850,833$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 62 | 90 | 65 | 62 | 69 | 72 | 59 | 52 | 57 | 57 | 55 | 54 | 36 | 36 | 57 | 75 | 58 | 22 | 450,000$/2yrs | |||
![]() | 0 | C | 100.00 | 70 | 64 | 83 | 64 | 64 | 79 | 84 | 59 | 57 | 54 | 60 | 53 | 57 | 34 | 34 | 57 | 75 | 58 | 21 | 1,000,000$/5yrs | |||
![]() | 0 | C | 100.00 | 74 | 68 | 89 | 64 | 68 | 77 | 82 | 55 | 49 | 47 | 58 | 59 | 55 | 32 | 32 | 53 | 75 | 57 | 22 | 475,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 72 | 67 | 84 | 62 | 67 | 65 | 68 | 57 | 59 | 55 | 56 | 56 | 53 | 43 | 43 | 56 | 75 | 57 | 25 | 762,500$/1yrs | |||
![]() | 0 | LW | 100.00 | 73 | 69 | 83 | 64 | 69 | 68 | 71 | 54 | 45 | 47 | 57 | 55 | 54 | 33 | 33 | 53 | 75 | 55 | 20 | 475,000$/2yrs | |||
![]() | 0 | C | 100.00 | 76 | 70 | 89 | 62 | 70 | 78 | 83 | 54 | 52 | 46 | 57 | 49 | 55 | 35 | 35 | 52 | 75 | 54 | 23 | 550,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 89 | 80 | 76 | 76 | 99 | 63 | 25 | 53 | 47 | 81 | 25 | 96 | 99 | 58 | 75 | 68 | 39 | 4,000,000$/1yrs | |||
![]() | 71 | D | 100.00 | 65 | 42 | 91 | 68 | 73 | 54 | 77 | 63 | 25 | 39 | 48 | 75 | 25 | 46 | 46 | 52 | 75 | 60 | 25 | 762,500$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 67 | 89 | 65 | 67 | 75 | 82 | 49 | 25 | 42 | 41 | 58 | 39 | 39 | 39 | 52 | 75 | 56 | 25 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 76 | 82 | 65 | 75 | 75 | 82 | 49 | 25 | 41 | 41 | 52 | 39 | 40 | 40 | 51 | 75 | 54 | 23 | 797,500$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 67 | 85 | 64 | 67 | 74 | 81 | 47 | 25 | 38 | 41 | 55 | 39 | 36 | 36 | 47 | 75 | 52 | 21 | 500,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 76.39 | 75 | 68 | 92 | 66 | 68 | 75 | 79 | 59 | 61 | 55 | 60 | 63 | 58 | 32 | 32 | 58 | 75 | 61 | 21 | 941,667$/3yrs | |||
![]() | 0 | LW | 100.00 | 73 | 67 | 87 | 64 | 67 | 79 | 84 | 50 | 36 | 45 | 50 | 55 | 47 | 35 | 35 | 48 | 75 | 52 | 20 | 625,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 70 | 66 | 79 | 62 | 66 | 69 | 72 | 50 | 36 | 46 | 47 | 50 | 45 | 38 | 38 | 47 | 75 | 50 | 24 | 762,500$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 71 | 81 | 62 | 71 | 65 | 68 | 49 | 49 | 44 | 48 | 39 | 46 | 33 | 33 | 46 | 75 | 46 | 22 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 76 | 80 | 65 | 76 | 76 | 83 | 47 | 25 | 37 | 41 | 60 | 39 | 37 | 37 | 46 | 75 | 54 | 21 | 450,000$/2yrs | |||
![]() | 0 | D | 78.22 | 72 | 71 | 77 | 65 | 71 | 76 | 83 | 48 | 25 | 39 | 42 | 53 | 40 | 38 | 38 | 49 | 75 | 53 | 20 | 725,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 74 | 87 | 65 | 74 | 75 | 82 | 47 | 25 | 37 | 41 | 51 | 39 | 38 | 38 | 46 | 75 | 51 | 24 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 72 | 78 | 64 | 72 | 78 | 85 | 46 | 25 | 36 | 41 | 51 | 39 | 38 | 38 | 44 | 75 | 50 | 21 | 875,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 74 | 71 | 65 | 74 | 64 | 68 | 45 | 25 | 34 | 40 | 51 | 38 | 38 | 38 | 42 | 75 | 47 | 21 | 475,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 59 | 64 | 61 | 68 | 61 | 66 | 62 | 59 | 59 | 60 | 52 | 38 | 38 | 60 | 75 | 60 | 22 | 450,000$/4yrs |
![]() | 0 | 100.00 | 59 | 60 | 58 | 70 | 60 | 66 | 59 | 59 | 59 | 59 | 52 | 35 | 35 | 59 | 75 | 59 | 20 | 475,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 55 | 72 | 69 | 91 | 55 | 61 | 54 | 55 | 55 | 55 | 47 | 46 | 46 | 55 | 75 | 58 | 27 | 1,500,000$/4yrs |
![]() | 0 | 100.00 | 57 | 61 | 59 | 82 | 58 | 62 | 55 | 55 | 56 | 55 | 48 | 32 | 32 | 56 | 75 | 57 | 20 | 475,000$/2yrs |
![]() | 0 | 100.00 | 45 | 68 | 65 | 68 | 46 | 52 | 45 | 45 | 45 | 46 | 38 | 35 | 35 | 45 | 75 | 50 | 24 | 805,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | Ivan Morozov | ![]() | C | 12 | 6 | 12 | 18 | 1 | 2 | 0 | 24 | 54 | 16 | 42 | 11.11% | 1 | 20.71 | 1 | 4 | 5 | 0 | 0 | 0 | 36 | 2 | 0 | 61.60% | 263 | 0 | 0 | 0 | 0 | 1.45 | 0 | 0 | |
2 | Jack Drury | ![]() | C | 12 | 2 | 12 | 14 | 4 | 4 | 0 | 13 | 33 | 16 | 27 | 6.06% | 1 | 18.49 | 0 | 5 | 5 | 0 | 0 | 0 | 33 | 1 | 0 | 65.92% | 355 | 0 | 0 | 0 | 0 | 1.26 | 0 | 0 | |
3 | Alex Steeves | ![]() | C/LW/RW | 12 | 11 | 3 | 14 | 7 | 8 | 0 | 15 | 42 | 15 | 32 | 26.19% | 0 | 19.83 | 3 | 0 | 3 | 0 | 0 | 0 | 13 | 1 | 2 | 37.04% | 27 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 | |
4 | Massimo Rizzo | ![]() | C | 12 | 10 | 3 | 13 | 7 | 2 | 0 | 10 | 36 | 9 | 34 | 27.78% | 3 | 15.09 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 2 | 0 | 59.26% | 189 | 0 | 0 | 0 | 0 | 1.44 | 0 | 0 | |
5 | Sean Farrell | ![]() | C/LW | 12 | 4 | 8 | 12 | -1 | 2 | 0 | 3 | 25 | 9 | 28 | 16.00% | 4 | 17.00 | 2 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 14 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 | |
6 | Oskar Back | ![]() | C | 12 | 5 | 6 | 11 | 0 | 10 | 0 | 18 | 33 | 14 | 22 | 15.15% | 3 | 17.35 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 71.43% | 14 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | |
7 | Jakub Galvas | ![]() | D | 12 | 3 | 8 | 11 | 7 | 2 | 0 | 14 | 25 | 4 | 14 | 12.00% | 18 | 22.03 | 1 | 2 | 3 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
8 | Arnaud Durandeau | ![]() | LW | 12 | 1 | 9 | 10 | 7 | 6 | 0 | 11 | 17 | 6 | 24 | 5.88% | 0 | 12.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 1.29 | 0 | 0 | |
9 | Ryan Suter | ![]() | D | 12 | 4 | 5 | 9 | 3 | 10 | 0 | 30 | 37 | 13 | 16 | 10.81% | 14 | 21.58 | 3 | 1 | 4 | 0 | 0 | 0 | 28 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
10 | Collin Graf | ![]() | C/RW | 9 | 3 | 5 | 8 | 1 | 2 | 0 | 8 | 20 | 4 | 15 | 15.00% | 1 | 15.12 | 1 | 3 | 4 | 0 | 0 | 0 | 17 | 0 | 0 | 70.00% | 10 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 | |
11 | Jacob Quillan | ![]() | C | 12 | 2 | 5 | 7 | 8 | 2 | 0 | 16 | 18 | 12 | 18 | 11.11% | 3 | 13.67 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.85 | 0 | 0 | |
12 | Ty Nelson | ![]() | D | 12 | 1 | 6 | 7 | 6 | 2 | 0 | 24 | 9 | 1 | 3 | 11.11% | 12 | 17.37 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | |
13 | Jacob Moverare | ![]() | D | 12 | 2 | 4 | 6 | 2 | 4 | 0 | 7 | 27 | 9 | 16 | 7.41% | 15 | 20.92 | 0 | 2 | 2 | 0 | 0 | 0 | 27 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
14 | Matthew Robertson | ![]() | D | 12 | 1 | 4 | 5 | 7 | 12 | 0 | 31 | 15 | 4 | 13 | 6.67% | 12 | 21.43 | 0 | 1 | 1 | 0 | 0 | 0 | 25 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
15 | Dylan Duke | ![]() | C | 12 | 1 | 3 | 4 | 7 | 0 | 0 | 6 | 17 | 5 | 11 | 5.88% | 2 | 13.76 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
16 | Josh Lopina | ![]() | C | 12 | 1 | 2 | 3 | 4 | 0 | 0 | 11 | 18 | 2 | 16 | 5.56% | 2 | 9.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.38% | 126 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
17 | Vladislav Lukashevich | ![]() | D | 4 | 0 | 3 | 3 | 2 | 2 | 0 | 6 | 1 | 1 | 1 | 0.00% | 9 | 17.34 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | |
18 | Mikael Diotte | ![]() | D | 8 | 0 | 3 | 3 | 4 | 10 | 0 | 15 | 9 | 4 | 4 | 0.00% | 7 | 16.46 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | |
19 | Alex Bump | ![]() | LW | 12 | 1 | 2 | 3 | 2 | 2 | 0 | 4 | 13 | 0 | 9 | 7.69% | 1 | 5.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
20 | Josh Filmon | ![]() | LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 216 | 58 | 103 | 161 | 78 | 82 | 0 | 266 | 449 | 144 | 345 | 12.92% | 108 | 16.39 | 12 | 21 | 33 | 373 | 0 | 0 | 0 | 242 | 9 | 3 | 59.90% | 1040 | 0 | 0 | 0 | 0 | 0.91 | 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 | Isaac Poulter | ![]() | 12 | 9 | 2 | 0 | 0.901 | 2.97 | 647 | 0 | 1 | 32 | 323 | 0 | 1 | 0 | 0.000 | 0 | 11 | 1 | 2 | 0 | 0 |
2 | Kirill Gerasimyuk | ![]() | 2 | 0 | 1 | 0 | 0.794 | 5.53 | 76 | 0 | 0 | 7 | 34 | 0 | 0 | 0 | 0.000 | 0 | 1 | 11 | 0 | 0 | 0 |
Team Total or Average | 14 | 9 | 3 | 0 | 0.891 | 3.24 | 723 | 0 | 1 | 39 | 357 | 0 | 1 | 0 | 0.000 | 0 | 12 | 12 | 2 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
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Alex Bump | LW | 20 | 475,000$ | 475,000$ | 475,000$ | ||||||
Alex Steeves | C/LW/RW | 24 | 834,167$ | 834,167$ | RFA | ||||||
Arnaud Durandeau | LW | 25 | 762,500$ | 762,500$ | RFA | ||||||
Blake Biondi | C | 22 | 450,000$ | 450,000$ | |||||||
Carson Lambos | D | 21 | 875,000$ | 875,000$ | |||||||
Collin Graf | C/RW | 21 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | |||||
Daniil Sobolev | D | 21 | 475,000$ | 475,000$ | |||||||
Dylan Duke | C | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||
Isaac Poulter | G | 22 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | |||
Ivan Fedotov | G | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Ivan Morozov | C | 24 | 475,000$ | 475,000$ | RFA | ||||||
Jack Drury | C | 24 | 925,000$ | 925,000$ | RFA | ||||||
Jacob Moverare | D | 25 | 762,500$ | 762,500$ | RFA | ||||||
Jacob Quillan | C | 22 | 475,000$ | 475,000$ | |||||||
Jakub Galvas | D | 25 | 450,000$ | 450,000$ | RFA | ||||||
Josh Filmon | LW | 20 | 625,000$ | 625,000$ | 625,000$ | ||||||
Josh Lopina | C | 23 | 550,000$ | 550,000$ | RFA | ||||||
Kirill Gerasimyuk | G | 20 | 475,000$ | 475,000$ | |||||||
Massimo Rizzo | C | 23 | 525,000$ | 525,000$ | RFA | ||||||
Matthew Robertson | D | 23 | 797,500$ | 797,500$ | RFA | ||||||
Maxim Mayorov | G | 20 | 475,000$ | 475,000$ | 475,000$ | ||||||
Michael Callahan | D | 24 | 450,000$ | 450,000$ | RFA | ||||||
Mikael Diotte | D | 21 | 450,000$ | 450,000$ | 450,000$ | ||||||
Oskar Back | C | 24 | 850,833$ | 850,833$ | RFA | ||||||
Ryan Suter | D | 39 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Sean Farrell | C/LW | 22 | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
Ty Nelson | D | 20 | 725,000$ | 725,000$ | 725,000$ | ||||||
Tyce Thompson | RW | 24 | 762,500$ | 762,500$ | RFA | ||||||
Vladislav Lukashevich | D | 21 | 500,000$ | 500,000$ | |||||||
Yaniv Perets | G | 24 | 805,000$ | 805,000$ | 805,000$ | RFA |
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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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 7.00 | -3.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 23 | 14 | 20 | 1 | 27.0 | 144 | 135 | 167 | 3 | 25.0 | 13.0 | 12.00 | 18.0 | 2.00 | 1.00 | 50.00% | 6.00 | 1.00 | 83.33% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 297.00 | 209.00 | 267.00 | 86.00 | 158.00 | 80.00 | 33.3% | 14.8% | 72.0% | 86.8 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 4.00 | 1.00 | 2 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 23 | 14 | 20 | 1 | 39.0 | 144 | 135 | 167 | 3 | 33.0 | 13.0 | 12.00 | 29.0 | 2.00 | 1.00 | 50.00% | 6.00 | 2.00 | 66.67% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 297.00 | 209.00 | 267.00 | 86.00 | 158.00 | 80.00 | 66.7% | 12.8% | 87.9% | 100.7 | FUN |
3 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.50 | 1.50 | 2 | 0.500 | 5.0 | 9.5 | 14.5 | 0 | 0 | 23 | 14 | 20 | 1 | 39.5 | 144 | 135 | 167 | 3 | 29.0 | 9.0 | 5.00 | 27.5 | 3.50 | 0.50 | 14.29% | 2.00 | 0.50 | 75.00% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 148.50 | 104.50 | 133.50 | 43.00 | 79.00 | 40.00 | 60.0% | 12.7% | 87.9% | 100.6 | FUN |
4 | ![]() | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 7.00 | 3.33 | 3.67 | 6 | 1.000 | 7.0 | 12.3 | 19.3 | 0 | 0 | 23 | 14 | 20 | 1 | 50.3 | 144 | 135 | 167 | 3 | 33.7 | 10.3 | 5.33 | 20.3 | 4.67 | 1.33 | 28.57% | 2.00 | 1.33 | 33.33% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 99.00 | 69.67 | 89.00 | 28.67 | 52.67 | 26.67 | 73.9% | 13.9% | 90.1% | 104.0 | FUN |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 23 | 14 | 20 | 1 | 42.0 | 144 | 135 | 167 | 3 | 30.0 | 9.0 | 8.00 | 13.0 | 5.00 | 0.00 | 0.00% | 3.00 | 0.00 | 100.00% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 297.00 | 209.00 | 267.00 | 86.00 | 158.00 | 80.00 | 71.4% | 11.9% | 93.3% | 105.2 | LUCKY |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 3.00 | 2.00 | 2 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 23 | 14 | 20 | 1 | 46.0 | 144 | 135 | 167 | 3 | 30.0 | 5.0 | 4.00 | 13.0 | 6.00 | 2.00 | 33.33% | 2.00 | 1.00 | 50.00% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 297.00 | 209.00 | 267.00 | 86.00 | 158.00 | 80.00 | 60.0% | 10.9% | 90.0% | 100.9 | FUN |
7 | ![]() | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2.00 | 2.50 | -0.50 | 2 | 0.500 | 2.0 | 4.0 | 6.0 | 0 | 1 | 23 | 14 | 20 | 1 | 18.5 | 144 | 135 | 167 | 3 | 24.5 | 4.5 | 6.00 | 28.0 | 4.00 | 0.50 | 12.50% | 3.00 | 0.00 | 100.00% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 148.50 | 104.50 | 133.50 | 43.00 | 79.00 | 40.00 | 37.5% | 10.8% | 89.8% | 100.6 | FUN |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 1.00 | 3.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 23 | 14 | 20 | 1 | 28.0 | 144 | 135 | 167 | 3 | 31.0 | 10.0 | 8.00 | 21.0 | 2.00 | 2.00 | 100.00% | 3.00 | 0.00 | 100.00% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 297.00 | 209.00 | 267.00 | 86.00 | 158.00 | 80.00 | 66.7% | 14.3% | 96.8% | 111.1 | LUCKY |
_Vs Division | 9 | 7 | 2 | 0 | 0 | 0 | 0 | 0 | 5.44 | 3.44 | 2.00 | 14 | 0.778 | 5.4 | 9.7 | 15.1 | 0 | 0 | 23 | 14 | 20 | 1 | 40.7 | 144 | 135 | 167 | 3 | 30.9 | 10.4 | 7.33 | 21.9 | 3.56 | 1.00 | 28.13% | 3.11 | 0.89 | 71.43% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 33.00 | 23.22 | 29.67 | 9.56 | 17.56 | 8.89 | 63.5% | 13.4% | 88.8% | 102.2 | FUN | |
_Vs Conference | 11 | 7 | 3 | 0 | 1 | 0 | 0 | 0 | 4.82 | 3.27 | 1.55 | 16 | 0.727 | 4.8 | 8.6 | 13.5 | 0 | 1 | 23 | 14 | 20 | 1 | 36.6 | 144 | 135 | 167 | 3 | 29.7 | 9.4 | 7.09 | 23.0 | 3.64 | 0.91 | 25.00% | 3.09 | 0.73 | 76.47% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 27.00 | 19.00 | 24.27 | 7.82 | 14.36 | 7.27 | 60.6% | 13.2% | 89.0% | 102.1 | FUN | |
_Since Last GM Reset | 12 | 8 | 3 | 0 | 1 | 0 | 0 | 0 | 4.83 | 3.25 | 1.58 | 18 | 0.750 | 4.8 | 8.6 | 13.4 | 0 | 1 | 23 | 14 | 20 | 1 | 37.4 | 144 | 135 | 167 | 3 | 29.8 | 9.0 | 6.83 | 22.2 | 3.83 | 1.00 | 26.09% | 3.00 | 0.75 | 75.00% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 24.75 | 17.42 | 22.25 | 7.17 | 13.17 | 6.67 | 60.5% | 12.9% | 89.1% | 102.0 | FUN | |
Total | 12 | 8 | 3 | 0 | 1 | 0 | 0 | 0 | 4.83 | 3.25 | 1.58 | 18 | 0.750 | 4.8 | 8.6 | 13.4 | 0 | 1 | 23 | 14 | 20 | 1 | 37.4 | 144 | 135 | 167 | 3 | 29.8 | 9.0 | 6.83 | 22.2 | 3.83 | 1.00 | 26.09% | 3.00 | 0.75 | 75.00% | 0 | 258 | 437 | 59.04% | 235 | 383 | 61.36% | 130 | 216 | 60.19% | 24.75 | 17.42 | 22.25 | 7.17 | 13.17 | 6.67 | 60.5% | 12.9% | 89.1% | 102.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 437 |
Neutral Zone Start | 216 |
Defensive Zone Start | 383 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 623 |
Faceoffs Lost | 413 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.0 | 9.57 |
2nd Period | 23.3 | 20.31 |
3rd Period | 37.2 | 30.68 |
Overtime | 37.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.9 | 0.64 |
2nd Period | 3.1 | 1.65 |
3rd Period | 4.8 | 2.67 |
Overtime | 4.8 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 5 | 4 |
Lost | 1 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 46 |
---|---|
PP Goal | 12 |
PK Attempt | 36 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 37.4 |
Shots Against | 29.8 |
Goals For | 4.8 |
Goals Against | 3.3 |
Hits | 22.2 |
Shots Blocked | 9.0 |
Pim | 6.8 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,284,167$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Hamilton | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 10039 | 4958 | |||
Attendance PCT | 83.66% | 82.63% | 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 |
35 | 2500 - 83.32% | 70,956$ | 425,735$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,284,167$ | 2,284,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
368,010$ | 12,167$ | 364,349$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
2,483,454$ | 151 | 12,690$ | 1,916,190$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,916,190$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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