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Full Scoreboard >> |
![]() | Hof Wolf Pack 16-5-6, 38pts · 1st 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 | LW | 100.00 | 83 | 54 | 91 | 78 | 70 | 70 | 89 | 79 | 36 | 62 | 85 | 68 | 28 | 59 | 59 | 75 | 75 | 73 | 22 | 835,833$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 69 | 42 | 94 | 82 | 67 | 64 | 79 | 69 | 25 | 67 | 75 | 63 | 38 | 73 | 74 | 72 | 75 | 69 | 35 | 1,150,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 88 | 47 | 96 | 65 | 84 | 58 | 83 | 71 | 35 | 60 | 77 | 66 | 25 | 45 | 45 | 70 | 75 | 68 | 26 | 500,000$/4yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 42 | 91 | 79 | 70 | 61 | 71 | 73 | 25 | 63 | 66 | 59 | 75 | 62 | 63 | 65 | 75 | 63 | 23 | 894,167$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 67 | 43 | 95 | 73 | 78 | 58 | 85 | 71 | 70 | 68 | 60 | 65 | 25 | 60 | 61 | 63 | 75 | 63 | 31 | 450,000$/3yrs | |||
![]() | 0 | C | 100.00 | 88 | 55 | 91 | 79 | 69 | 59 | 77 | 68 | 55 | 60 | 59 | 77 | 75 | 64 | 64 | 59 | 75 | 63 | 25 | 450,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 76 | 72 | 86 | 65 | 71 | 67 | 70 | 64 | 75 | 58 | 65 | 59 | 62 | 37 | 37 | 62 | 75 | 62 | 25 | 475,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 94 | 47 | 95 | 69 | 74 | 59 | 58 | 63 | 26 | 60 | 64 | 65 | 25 | 46 | 46 | 62 | 75 | 62 | 26 | 450,000$/4yrs | |||
![]() | 0 | C | 100.00 | 67 | 43 | 93 | 74 | 83 | 59 | 62 | 64 | 58 | 65 | 62 | 61 | 25 | 53 | 53 | 63 | 75 | 62 | 25 | 762,500$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 87 | 45 | 85 | 69 | 73 | 62 | 71 | 64 | 65 | 54 | 55 | 78 | 25 | 51 | 51 | 55 | 75 | 60 | 24 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 71 | 63 | 90 | 64 | 63 | 69 | 72 | 61 | 55 | 57 | 61 | 61 | 58 | 34 | 34 | 59 | 75 | 60 | 19 | 875,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 80 | 80 | 83 | 64 | 79 | 76 | 81 | 60 | 85 | 55 | 61 | 49 | 58 | 40 | 40 | 58 | 75 | 58 | 25 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 44 | 82 | 81 | 70 | 77 | 93 | 67 | 25 | 57 | 53 | 87 | 25 | 66 | 67 | 62 | 75 | 72 | 29 | 1,350,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 44 | 95 | 72 | 77 | 71 | 91 | 62 | 25 | 63 | 48 | 77 | 25 | 60 | 61 | 62 | 75 | 68 | 26 | 1,125,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 44 | 81 | 71 | 68 | 60 | 73 | 61 | 25 | 64 | 47 | 70 | 25 | 62 | 64 | 62 | 75 | 65 | 26 | 475,000$/4yrs | |||
![]() | 0 | D | 100.00 | 76 | 74 | 80 | 72 | 69 | 63 | 56 | 63 | 25 | 49 | 47 | 74 | 25 | 63 | 64 | 57 | 75 | 64 | 33 | 600,000$/3yrs | |||
![]() | 74 | D | 100.00 | 69 | 42 | 87 | 81 | 70 | 65 | 61 | 64 | 25 | 50 | 48 | 69 | 25 | 66 | 67 | 58 | 75 | 63 | 27 | 1,050,000$/4yrs | |||
![]() | 0 | D | 100.00 | 73 | 43 | 95 | 69 | 70 | 62 | 73 | 61 | 25 | 51 | 48 | 69 | 25 | 47 | 47 | 56 | 75 | 61 | 29 | 450,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 75 | 69 | 89 | 65 | 69 | 66 | 69 | 60 | 64 | 55 | 60 | 71 | 58 | 39 | 39 | 58 | 75 | 61 | 20 | 625,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 64 | 87 | 64 | 64 | 77 | 82 | 57 | 55 | 56 | 57 | 64 | 53 | 31 | 31 | 57 | 75 | 60 | 21 | 475,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 69 | 65 | 79 | 64 | 65 | 69 | 73 | 60 | 57 | 56 | 60 | 46 | 57 | 40 | 40 | 58 | 75 | 57 | 21 | 875,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 68 | 80 | 63 | 68 | 72 | 76 | 54 | 47 | 46 | 57 | 43 | 54 | 32 | 32 | 52 | 75 | 52 | 22 | 450,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 69 | 65 | 74 | 63 | 65 | 62 | 64 | 52 | 39 | 48 | 48 | 54 | 46 | 39 | 39 | 48 | 75 | 51 | 22 | 835,833$/2yrs | |||
![]() | 0 | D | 100.00 | 74 | 71 | 84 | 67 | 71 | 64 | 68 | 54 | 25 | 47 | 46 | 56 | 45 | 44 | 44 | 60 | 75 | 59 | 29 | 450,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 69 | 87 | 63 | 69 | 64 | 68 | 47 | 25 | 37 | 41 | 55 | 39 | 38 | 38 | 46 | 75 | 51 | 20 | 450,000$/2yrs | |||
![]() | 0 | D | 100.00 | 73 | 67 | 91 | 64 | 66 | 67 | 72 | 46 | 25 | 38 | 40 | 49 | 38 | 36 | 36 | 46 | 75 | 49 | 21 | 500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 67 | 84 | 64 | 67 | 76 | 83 | 44 | 25 | 32 | 40 | 56 | 38 | 34 | 34 | 40 | 75 | 49 | 20 | 550,000$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 71 | 86 | 65 | 70 | 74 | 80 | 45 | 25 | 34 | 40 | 45 | 38 | 39 | 39 | 42 | 75 | 46 | 21 | 725,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 75 | 84 | 63 | 75 | 74 | 80 | 44 | 25 | 32 | 40 | 45 | 37 | 32 | 32 | 40 | 75 | 45 | 19 | 475,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 64 | 73 | 70 | 71 | 65 | 71 | 65 | 65 | 64 | 65 | 57 | 36 | 36 | 65 | 75 | 66 | 22 | 886,667$/3yrs |
![]() | 0 | 100.00 | 63 | 70 | 68 | 91 | 64 | 70 | 63 | 63 | 63 | 65 | 56 | 35 | 35 | 64 | 75 | 65 | 23 | 875,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 69 | 62 | 60 | 66 | 70 | 76 | 71 | 69 | 71 | 69 | 62 | 55 | 55 | 70 | 75 | 68 | 34 | 2,250,000$/1yrs |
![]() | 0 | 100.00 | 50 | 69 | 66 | 80 | 50 | 57 | 50 | 50 | 50 | 50 | 43 | 38 | 38 | 50 | 75 | 54 | 21 | 450,000$/3yrs |
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 | Arthur Kaliyev | ![]() | LW/RW | 24 | 9 | 15 | 24 | 4 | 2 | 0 | 24 | 85 | 19 | 58 | 10.59% | 2 | 18.78 | 1 | 1 | 2 | 0 | 0 | 0 | 27 | 3 | 0 | 40.00% | 40 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | |
2 | Sean Walker | ![]() | D | 22 | 6 | 18 | 24 | -9 | 6 | 0 | 42 | 75 | 23 | 39 | 8.00% | 39 | 24.27 | 3 | 5 | 8 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
3 | Nick DeSimone | ![]() | D | 27 | 2 | 19 | 21 | 12 | 12 | 0 | 26 | 29 | 4 | 10 | 6.90% | 23 | 16.63 | 0 | 0 | 0 | 0 | 1 | 1 | 7 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.94 | 0 | 0 | |
4 | Yevgeni Dadonov | ![]() | LW/RW | 21 | 11 | 10 | 21 | 7 | 4 | 0 | 12 | 75 | 16 | 44 | 14.67% | 0 | 18.14 | 1 | 3 | 4 | 0 | 0 | 0 | 23 | 2 | 0 | 37.25% | 51 | 0 | 0 | 0 | 0 | 1.10 | 0 | 0 | |
5 | Nick Perbix | ![]() | D | 27 | 5 | 15 | 20 | -4 | 8 | 0 | 22 | 42 | 14 | 29 | 11.90% | 37 | 24.13 | 4 | 4 | 8 | 0 | 0 | 0 | 49 | 3 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
6 | Noah Gregor | ![]() | C | 27 | 9 | 10 | 19 | 2 | 8 | 0 | 39 | 78 | 21 | 52 | 11.54% | 7 | 12.65 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 2 | 1 | 53.00% | 417 | 0 | 0 | 0 | 0 | 1.11 | 0 | 0 | |
7 | Josh Mahura | ![]() | D | 27 | 4 | 14 | 18 | 10 | 8 | 0 | 47 | 35 | 12 | 24 | 11.43% | 27 | 19.51 | 2 | 4 | 6 | 0 | 0 | 0 | 38 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
8 | Benoit-Olivier Groulx | ![]() | C/LW | 22 | 10 | 7 | 17 | 6 | 2 | 0 | 25 | 53 | 9 | 21 | 18.87% | 0 | 10.15 | 0 | 0 | 0 | 0 | 1 | 1 | 15 | 1 | 0 | 53.88% | 245 | 0 | 0 | 0 | 1 | 1.52 | 0 | 0 | |
9 | Mitchell Chaffee | ![]() | RW | 25 | 7 | 10 | 17 | -4 | 14 | 0 | 61 | 57 | 8 | 47 | 12.28% | 9 | 17.80 | 1 | 2 | 3 | 1 | 0 | 1 | 36 | 0 | 0 | 26.24% | 141 | 0 | 0 | 0 | 0 | 0.76 | 0 | 1 | |
10 | Ethan Bear | ![]() | D | 23 | 2 | 14 | 16 | 9 | 8 | 0 | 27 | 34 | 17 | 30 | 5.88% | 22 | 20.37 | 1 | 6 | 7 | 0 | 0 | 0 | 29 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
11 | Jonathan Lekkerimaki | ![]() | RW | 27 | 9 | 7 | 16 | 8 | 4 | 0 | 46 | 53 | 12 | 36 | 16.98% | 4 | 16.34 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 41.67% | 24 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
12 | Justin Brazeau | ![]() | RW | 27 | 10 | 5 | 15 | 0 | 18 | 0 | 49 | 91 | 26 | 65 | 10.99% | 2 | 18.29 | 4 | 1 | 5 | 0 | 0 | 0 | 32 | 1 | 0 | 37.29% | 59 | 0 | 0 | 0 | 0 | 0.61 | 0 | 1 | |
13 | Jonny Brodzinski | ![]() | C/RW | 19 | 4 | 8 | 12 | 2 | 0 | 0 | 5 | 42 | 5 | 32 | 9.52% | 2 | 13.99 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 52.66% | 169 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | |
14 | Joel Hanley | ![]() | D | 13 | 1 | 8 | 9 | 2 | 4 | 0 | 26 | 8 | 4 | 7 | 12.50% | 14 | 17.37 | 0 | 1 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
15 | Christian Wolanin | ![]() | D | 13 | 0 | 7 | 7 | 10 | 6 | 0 | 23 | 7 | 5 | 2 | 0.00% | 12 | 15.45 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
16 | Jake Neighbours | ![]() | LW | 8 | 5 | 1 | 6 | 4 | 2 | 0 | 13 | 32 | 8 | 31 | 15.63% | 2 | 17.38 | 2 | 0 | 2 | 0 | 0 | 0 | 10 | 0 | 0 | 20.83% | 24 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | |
17 | Brian Halonen | ![]() | LW | 27 | 3 | 3 | 6 | 0 | 4 | 0 | 15 | 31 | 7 | 20 | 9.68% | 0 | 11.10 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 1 | 0 | 56.00% | 25 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
18 | Brett Murray | ![]() | LW | 18 | 1 | 4 | 5 | 7 | 12 | 0 | 12 | 16 | 8 | 8 | 6.25% | 0 | 9.98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.82% | 17 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
19 | Brennan Othmann | ![]() | LW | 10 | 1 | 1 | 2 | 6 | 0 | 0 | 4 | 7 | 4 | 7 | 14.29% | 0 | 12.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.50% | 40 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | |
20 | Adam Ruzicka | ![]() | C | 9 | 1 | 1 | 2 | 1 | 0 | 0 | 3 | 9 | 2 | 10 | 11.11% | 1 | 16.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 68.13% | 91 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
21 | Artem Shlaine | ![]() | C | 3 | 0 | 1 | 1 | 3 | 0 | 0 | 6 | 1 | 0 | 2 | 0.00% | 0 | 15.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.56% | 64 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
22 | Oskar Jellvik | ![]() | C/LW | 7 | 0 | 1 | 1 | -2 | 2 | 0 | 5 | 2 | 1 | 1 | 0.00% | 0 | 4.30 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 45.83% | 24 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
23 | Ryan Winterton | ![]() | C/LW/RW | 9 | 1 | 0 | 1 | -1 | 0 | 0 | 2 | 10 | 1 | 8 | 10.00% | 2 | 7.46 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
24 | Ozzy Wiesblatt | ![]() | RW | 6 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 1 | 1 | 3 | 0.00% | 0 | 10.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 441 | 101 | 179 | 280 | 71 | 124 | 0 | 537 | 873 | 227 | 586 | 11.57% | 205 | 16.32 | 21 | 33 | 54 | 754 | 1 | 2 | 3 | 350 | 16 | 4 | 49.06% | 1437 | 0 | 0 | 0 | 1 | 0.78 | 0 | 2 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Erik Portillo | ![]() | 8 | 6 | 1 | 1 | 0.863 | 3.88 | 480 | 0 | 0 | 31 | 226 | 0 | 0 | 0 | 0.000 | 0 | 8 | 0 | 0 | 0 | 0 |
2 | Joel Blomqvist | ![]() | 11 | 6 | 1 | 3 | 0.875 | 3.38 | 621 | 2 | 0 | 35 | 280 | 0 | 0 | 0 | 0.333 | 3 | 11 | 16 | 0 | 0 | 0 |
3 | Pavel Francouz | ![]() | 8 | 4 | 2 | 2 | 0.896 | 3.09 | 486 | 0 | 0 | 25 | 240 | 0 | 0 | 0 | 0.000 | 0 | 8 | 0 | 0 | 0 | 0 |
4 | Jan Bednar | ![]() | 2 | 0 | 1 | 0 | 0.903 | 3.53 | 51 | 0 | 0 | 3 | 31 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 29 | 16 | 5 | 6 | 0.879 | 3.44 | 1640 | 2 | 0 | 94 | 777 | 0 | 0 | 0 | 0.333 | 3 | 27 | 27 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Ruzicka | C | 25 | 762,500$ | 762,500$ | RFA | ||||||
Artem Shlaine | C | 22 | 450,000$ | 450,000$ | 450,000$ | ||||||
Arthur Kaliyev | LW/RW | 23 | 894,167$ | 894,167$ | RFA | ||||||
Benoit-Olivier Groulx | C/LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Brennan Othmann | LW | 21 | 875,000$ | 875,000$ | |||||||
Brett Murray | LW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Brian Halonen | LW | 25 | 475,000$ | 475,000$ | 475,000$ | RFA | |||||
Christian Wolanin | D | 29 | 450,000$ | 450,000$ | |||||||
Daniil Chayka | D | 21 | 725,000$ | 725,000$ | |||||||
Erik Portillo | G | 23 | 875,000$ | 875,000$ | RFA | ||||||
Ethan Bear | D | 27 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | ||||
Jake Neighbours | LW | 22 | 835,833$ | 835,833$ | 835,833$ | ||||||
Jan Bednar | G | 21 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | |||||
Joel Blomqvist | G | 22 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | |||||
Joel Hanley | D | 33 | 600,000$ | 600,000$ | 600,000$ | 600,000$ | UFA | ||||
Jonathan Lekkerimaki | RW | 19 | 875,000$ | 875,000$ | 875,000$ | ||||||
Jonny Brodzinski | C/RW | 31 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | UFA | ||||
Josh Mahura | D | 26 | 475,000$ | 475,000$ | 475,000$ | 475,000$ | 475,000$ | ||||
Justin Brazeau | RW | 26 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | 500,000$ | ||||
Kyle Masters | D | 21 | 500,000$ | 500,000$ | |||||||
Ludvig Jansson | D | 20 | 550,000$ | 550,000$ | 550,000$ | ||||||
Marc-Andre Gaudet | D | 20 | 450,000$ | 450,000$ | 450,000$ | ||||||
Matthew Morden | D | 19 | 475,000$ | 475,000$ | 475,000$ | ||||||
Mitchell Chaffee | RW | 26 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | ||||
Nick DeSimone | D | 29 | 450,000$ | 450,000$ | 450,000$ | ||||||
Nick Perbix | D | 26 | 1,125,000$ | 1,125,000$ | 1,125,000$ | RFA | |||||
Noah Gregor | C | 25 | 450,000$ | 450,000$ | 450,000$ | RFA | |||||
Oskar Jellvik | C/LW | 21 | 475,000$ | 475,000$ | |||||||
Ozzy Wiesblatt | RW | 22 | 835,833$ | 835,833$ | 835,833$ | ||||||
Pavel Francouz | G | 34 | 2,250,000$ | 2,250,000$ | UFA | ||||||
Ryan Winterton | C/LW/RW | 20 | 625,000$ | 625,000$ | |||||||
Sean Walker | D | 29 | 1,350,000$ | 1,350,000$ | 1,350,000$ | ||||||
Yevgeni Dadonov | LW/RW | 35 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | 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 |
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1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4.00 | 6.00 | -2.00 | 0 | 0.000 | 4.0 | 6.0 | 10.0 | 0 | 0 | 43 | 46 | 25 | 2 | 44.0 | 309 | 378 | 315 | 14 | 35.0 | 6.0 | 0.00 | 37.0 | 5.00 | 3.00 | 60.00% | 0.00 | 0.00 | 0.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 14.3% | 9.1% | 82.9% | 91.9 | FUN |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3.00 | 4.00 | -1.00 | 1 | 0.500 | 3.0 | 6.0 | 9.0 | 0 | 0 | 43 | 46 | 25 | 2 | 32.0 | 309 | 378 | 315 | 14 | 30.0 | 10.0 | 4.00 | 15.0 | 5.00 | 1.00 | 20.00% | 2.00 | 0.00 | 100.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 33.3% | 9.4% | 86.7% | 96.0 | FUN |
3 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1.00 | 5.00 | -4.00 | 0 | 0.000 | 1.0 | 2.0 | 3.0 | 0 | 0 | 43 | 46 | 25 | 2 | 36.0 | 309 | 378 | 315 | 14 | 33.0 | 10.0 | 8.00 | 29.0 | 1.00 | 0.00 | 0.00% | 4.00 | 3.00 | 25.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 33.3% | 2.8% | 84.8% | 87.6 | Unlucky |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 4.00 | 1.00 | 2 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 0 | 43 | 46 | 25 | 2 | 36.0 | 309 | 378 | 315 | 14 | 24.0 | 11.0 | 8.00 | 21.0 | 4.00 | 1.00 | 25.00% | 2.00 | 0.00 | 100.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 50.0% | 13.9% | 83.3% | 97.2 | FUN |
5 | ![]() | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4.00 | 3.50 | 0.50 | 3 | 0.750 | 4.0 | 8.0 | 12.0 | 0 | 0 | 43 | 46 | 25 | 2 | 45.5 | 309 | 378 | 315 | 14 | 30.5 | 6.5 | 5.00 | 16.5 | 5.00 | 0.50 | 10.00% | 2.00 | 0.50 | 75.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 357.00 | 251.00 | 284.50 | 96.50 | 178.50 | 93.00 | 53.8% | 8.8% | 88.5% | 97.3 | Unlucky |
6 | ![]() | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 3.67 | 4.33 | -0.67 | 3 | 0.500 | 3.7 | 6.3 | 10.0 | 0 | 0 | 43 | 46 | 25 | 2 | 36.3 | 309 | 378 | 315 | 14 | 32.0 | 9.3 | 4.00 | 20.7 | 3.33 | 0.00 | 0.00% | 2.00 | 0.67 | 66.67% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 238.00 | 167.33 | 189.67 | 64.33 | 119.00 | 62.00 | 50.0% | 10.1% | 86.5% | 96.6 | FUN |
7 | ![]() | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 4.67 | 3.00 | 1.67 | 6 | 1.000 | 4.7 | 8.0 | 12.7 | 0 | 0 | 43 | 46 | 25 | 2 | 34.0 | 309 | 378 | 315 | 14 | 28.3 | 9.7 | 6.67 | 26.7 | 3.00 | 0.67 | 22.22% | 3.00 | 0.67 | 77.78% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 238.00 | 167.33 | 189.67 | 64.33 | 119.00 | 62.00 | 63.2% | 13.7% | 89.4% | 103.1 | FUN |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6.00 | 5.00 | 1.00 | 2 | 1.000 | 6.0 | 11.0 | 17.0 | 0 | 0 | 43 | 46 | 25 | 2 | 38.0 | 309 | 378 | 315 | 14 | 33.0 | 7.0 | 6.00 | 19.0 | 8.00 | 1.00 | 12.50% | 3.00 | 1.00 | 66.67% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 55.6% | 15.8% | 84.8% | 100.6 | FUN |
9 | ![]() | 3 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 2.67 | 2.67 | 0.00 | 4 | 0.667 | 2.7 | 5.3 | 8.0 | 0 | 0 | 43 | 46 | 25 | 2 | 28.7 | 309 | 378 | 315 | 14 | 20.7 | 8.0 | 6.67 | 20.7 | 3.67 | 0.33 | 9.09% | 3.33 | 0.67 | 80.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 238.00 | 167.33 | 189.67 | 64.33 | 119.00 | 62.00 | 53.8% | 9.3% | 87.1% | 96.4 | FUN |
10 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4.00 | 5.00 | -1.00 | 0 | 0.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 43 | 46 | 25 | 2 | 30.5 | 309 | 378 | 315 | 14 | 37.0 | 12.5 | 8.00 | 23.5 | 4.00 | 0.50 | 12.50% | 3.50 | 2.00 | 42.86% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 357.00 | 251.00 | 284.50 | 96.50 | 178.50 | 93.00 | 53.8% | 13.1% | 86.5% | 99.6 | FUN |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 2 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 43 | 46 | 25 | 2 | 31.0 | 309 | 378 | 315 | 14 | 39.0 | 6.0 | 2.00 | 29.0 | 1.00 | 0.00 | 0.00% | 1.00 | 0.00 | 100.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 71.4% | 16.1% | 94.9% | 111.0 | LUCKY |
12 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2.00 | 3.00 | -1.00 | 1 | 0.500 | 2.0 | 4.0 | 6.0 | 0 | 0 | 43 | 46 | 25 | 2 | 38.0 | 309 | 378 | 315 | 14 | 28.0 | 11.0 | 0.00 | 27.0 | 2.00 | 1.00 | 50.00% | 0.00 | 0.00 | 0.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 25.0% | 5.3% | 89.3% | 94.5 | Unlucky |
13 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6.50 | 5.50 | 1.00 | 4 | 1.000 | 6.5 | 12.5 | 19.0 | 0 | 0 | 43 | 46 | 25 | 2 | 48.5 | 309 | 378 | 315 | 14 | 27.0 | 4.5 | 3.00 | 21.0 | 6.50 | 2.50 | 38.46% | 1.00 | 0.00 | 100.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 357.00 | 251.00 | 284.50 | 96.50 | 178.50 | 93.00 | 42.1% | 13.4% | 79.6% | 93.0 | FUN |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.00 | 4.00 | 2 | 1.000 | 5.0 | 10.0 | 15.0 | 0 | 0 | 43 | 46 | 25 | 2 | 35.0 | 309 | 378 | 315 | 14 | 30.0 | 9.0 | 6.00 | 20.0 | 3.00 | 1.00 | 33.33% | 3.00 | 0.00 | 100.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 80.0% | 14.3% | 96.7% | 111.0 | LUCKY |
15 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8.00 | 3.00 | 5.00 | 2 | 1.000 | 8.0 | 12.0 | 20.0 | 0 | 0 | 43 | 46 | 25 | 2 | 55.0 | 309 | 378 | 315 | 14 | 21.0 | 3.0 | 6.00 | 14.0 | 5.00 | 3.00 | 60.00% | 3.00 | 0.00 | 100.00% | 1 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 62.5% | 14.5% | 85.7% | 100.3 | FUN |
16 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 2 | 1.000 | 5.0 | 8.0 | 13.0 | 0 | 0 | 43 | 46 | 25 | 2 | 30.0 | 309 | 378 | 315 | 14 | 24.0 | 7.0 | 2.00 | 16.0 | 4.00 | 1.00 | 25.00% | 0.00 | 0.00 | 0.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 714.00 | 502.00 | 569.00 | 193.00 | 357.00 | 186.00 | 66.7% | 16.7% | 91.7% | 108.3 | LUCKY |
17 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.00 | 4.00 | 4 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 43 | 46 | 25 | 2 | 46.5 | 309 | 378 | 315 | 14 | 24.0 | 7.0 | 6.00 | 17.0 | 2.50 | 0.50 | 20.00% | 1.50 | 0.00 | 100.00% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 357.00 | 251.00 | 284.50 | 96.50 | 178.50 | 93.00 | 81.8% | 10.8% | 95.8% | 106.6 | LUCKY |
_Vs Division | 12 | 5 | 4 | 0 | 1 | 1 | 0 | 1 | 4.17 | 4.08 | 0.08 | 14 | 0.583 | 4.2 | 7.4 | 11.6 | 0 | 0 | 43 | 46 | 25 | 2 | 36.9 | 309 | 378 | 315 | 14 | 31.3 | 9.3 | 5.50 | 23.3 | 3.83 | 0.67 | 17.39% | 2.33 | 0.75 | 67.86% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 59.50 | 41.83 | 47.42 | 16.08 | 29.75 | 15.50 | 51.2% | 11.3% | 86.9% | 98.2 | FUN | |
_Vs Conference | 18 | 7 | 5 | 0 | 1 | 4 | 0 | 1 | 3.67 | 3.72 | -0.06 | 21 | 0.583 | 3.7 | 6.6 | 10.3 | 0 | 0 | 43 | 46 | 25 | 2 | 35.2 | 309 | 378 | 315 | 14 | 29.0 | 9.1 | 5.33 | 23.0 | 3.56 | 0.61 | 17.19% | 2.33 | 0.78 | 66.67% | 0 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 39.67 | 27.89 | 31.61 | 10.72 | 19.83 | 10.33 | 50.9% | 10.4% | 87.2% | 97.6 | FUN | |
_Since Last GM Reset | 27 | 14 | 5 | 0 | 2 | 5 | 0 | 1 | 4.30 | 3.52 | 0.78 | 38 | 0.704 | 4.3 | 7.7 | 12.0 | 0 | 0 | 43 | 46 | 25 | 2 | 37.6 | 309 | 378 | 315 | 14 | 28.8 | 8.2 | 5.11 | 21.7 | 3.85 | 0.85 | 22.12% | 2.19 | 0.56 | 74.58% | 1 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 26.44 | 18.59 | 21.07 | 7.15 | 13.22 | 6.89 | 53.8% | 11.4% | 87.8% | 99.2 | FUN | |
Total | 27 | 14 | 5 | 0 | 2 | 5 | 0 | 1 | 4.30 | 3.52 | 0.78 | 38 | 0.704 | 4.3 | 7.7 | 12.0 | 0 | 0 | 43 | 46 | 25 | 2 | 37.6 | 309 | 378 | 315 | 14 | 28.8 | 8.2 | 5.11 | 21.7 | 3.85 | 0.85 | 22.12% | 2.19 | 0.56 | 74.58% | 1 | 529 | 1019 | 51.91% | 386 | 825 | 46.79% | 241 | 475 | 50.74% | 26.44 | 18.59 | 21.07 | 7.15 | 13.22 | 6.89 | 53.8% | 11.4% | 87.8% | 99.2 | FUN |
Puck Time | |
---|---|
Offensive Zone | 26 |
Neutral Zone | 13 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 1019 |
Neutral Zone Start | 475 |
Defensive Zone Start | 825 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 1156 |
Faceoffs Lost | 1163 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.4 | 9.57 |
2nd Period | 25.4 | 20.31 |
3rd Period | 37.1 | 30.68 |
Overtime | 37.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.6 | 0.64 |
2nd Period | 3.3 | 1.65 |
3rd Period | 4.2 | 2.67 |
Overtime | 4.3 | 2.83 |
Even Strenght Goal | 92 |
---|---|
PP Goal | 23 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 7 |
Lost | 2 | 3 |
Overtime Lost | 2 | 4 |
PP Attempt | 104 |
---|---|
PP Goal | 23 |
PK Attempt | 59 |
PK Goal Against | 15 |
Home | |
---|---|
Shots For | 37.6 |
Shots Against | 28.8 |
Goals For | 4.3 |
Goals Against | 3.5 |
Hits | 21.7 |
Shots Blocked | 8.2 |
Pim | 5.1 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,206,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Hof | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 21385 | 10397 | |||
Attendance PCT | 82.25% | 79.98% | 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 |
28 | 2445 - 81.49% | 69,572$ | 904,430$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,206,500$ | 2,206,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
755,446$ | 12,258$ | 755,446$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,948,003$ | 118 | 12,258$ | 1,446,444$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,446,444$ | 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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