Full Scoreboard ยป |
Calgary Wranglers 2-2-0, 4pts · 10th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
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Jordan Frasca (R) | 25 | C | 100.00 | 64 | 38 | 84 | 57 | 80 | 68 | 80 | 58 | 61 | 57 | 56 | 54 | 56 | 59 | 62 | 62 | 75 | 0 | 23 | 859,167$/1yrs | |||
Martin Chromiak (R) | 8 | RW | 100.00 | 63 | 38 | 87 | 61 | 72 | 85 | 83 | 58 | 62 | 59 | 60 | 56 | 61 | 63 | 64 | 58 | 75 | 0 | 22 | 820,000$/1yrs | |||
Blade Jenkins | 32 | C/LW | 100.00 | 67 | 37 | 95 | 54 | 76 | 64 | 66 | 53 | 51 | 52 | 55 | 56 | 53 | 64 | 66 | 55 | 75 | 0 | 24 | 775,000$/1yrs | |||
Danil Gushchin (R) | 95 | LW | 100.00 | 61 | 37 | 88 | 67 | 62 | 92 | 84 | 65 | 63 | 66 | 64 | 61 | 67 | 63 | 65 | 66 | 75 | 0 | 22 | 828,333$/1yrs | |||
Ty Tullio (R) | 0 | RW | 100.00 | 63 | 37 | 85 | 57 | 63 | 80 | 82 | 56 | 60 | 57 | 58 | 53 | 56 | 62 | 64 | 59 | 75 | 0 | 22 | 823,333$/1yrs | |||
Michael Pezzetta | 55 | LW | 100.00 | 93 | 78 | 70 | 65 | 81 | 73 | 83 | 63 | 58 | 62 | 59 | 61 | 64 | 66 | 67 | 48 | 75 | 0 | 26 | 812,500$/1yrs | |||
Jakub Brabenec (R) | 22 | C/LW | 100.00 | 64 | 38 | 90 | 58 | 73 | 63 | 68 | 57 | 61 | 55 | 56 | 53 | 58 | 61 | 63 | 62 | 75 | 0 | 21 | 828,333$/2yrs | |||
Sasha Pastujov (R) | 16 | RW | 100.00 | 63 | 37 | 90 | 62 | 72 | 79 | 67 | 58 | 61 | 59 | 60 | 56 | 62 | 61 | 63 | 67 | 75 | 0 | 21 | 825,000$/2yrs | |||
Jakob Pelletier (R) | 49 | LW | 100.00 | 63 | 36 | 87 | 66 | 63 | 85 | 76 | 65 | 60 | 63 | 62 | 61 | 66 | 64 | 65 | 80 | 75 | 0 | 23 | 800,000$/1yrs | |||
Nikolai Kovalenko (R) | 0 | LW/RW | 100.00 | 66 | 35 | 85 | 67 | 80 | 76 | 85 | 67 | 58 | 67 | 66 | 60 | 64 | 60 | 60 | 85 | 75 | 0 | 25 | 896,250$/1yrs | |||
Brendan Lemieux | 48 | LW/RW | 100.00 | 83 | 70 | 58 | 66 | 80 | 76 | 74 | 63 | 57 | 60 | 58 | 62 | 56 | 70 | 69 | 65 | 75 | 0 | 28 | 1,500,000$/1yrs | |||
Corson Ceulemans (R) | 44 | D | 100.00 | 71 | 39 | 91 | 58 | 80 | 64 | 70 | 57 | 30 | 55 | 53 | 56 | 46 | 61 | 63 | 81 | 75 | 0 | 21 | 925,000$/2yrs | |||
William Villeneuve (R) | 76 | D | 100.00 | 63 | 40 | 77 | 62 | 72 | 65 | 80 | 57 | 30 | 63 | 53 | 56 | 47 | 62 | 64 | 59 | 75 | 0 | 22 | 817,778$/1yrs | |||
Christoffer Sedoff (R) | 75 | D | 100.00 | 69 | 39 | 87 | 56 | 78 | 66 | 68 | 54 | 30 | 57 | 50 | 58 | 45 | 62 | 64 | 48 | 75 | 0 | 22 | 870,000$/2yrs | |||
Alexander Alexeyev (R) | 47 | D | 100.00 | 77 | 38 | 95 | 66 | 89 | 83 | 73 | 62 | 30 | 63 | 58 | 65 | 50 | 65 | 67 | 75 | 75 | 0 | 24 | 825,000$/1yrs | |||
Ronnie Attard (R) | 12 | D | 100.00 | 74 | 41 | 79 | 63 | 85 | 86 | 84 | 62 | 30 | 64 | 58 | 68 | 50 | 65 | 67 | 63 | 75 | 0 | 25 | 850,000$/1yrs | |||
Denton Mateychuk (R) | 0 | D | 100.00 | 63 | 35 | 85 | 59 | 80 | 74 | 85 | 59 | 35 | 59 | 56 | 62 | 50 | 60 | 60 | 75 | 75 | 0 | 20 | 886,667$/3yrs | |||
Ryan Ufko (R) | 0 | D | 100.00 | 63 | 35 | 85 | 59 | 80 | 74 | 85 | 59 | 35 | 59 | 56 | 62 | 50 | 60 | 60 | 75 | 75 | 0 | 21 | 925,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
Matthew Peca | 63 | C/LW | 100.00 | 58 | 37 | 92 | 64 | 67 | 85 | 75 | 62 | 74 | 66 | 60 | 62 | 63 | 71 | 73 | 38 | 75 | 0 | 31 | 775,000$/1yrs | |||
Isaac Ratcliffe | 67 | LW | 100.00 | 83 | 50 | 69 | 57 | 92 | 74 | 81 | 56 | 53 | 54 | 55 | 58 | 52 | 65 | 67 | 73 | 75 | 0 | 25 | 775,000$/1yrs | |||
Tyler Pitlick | 0 | C/LW/RW | 100.00 | 76 | 37 | 95 | 65 | 80 | 75 | 82 | 61 | 62 | 64 | 60 | 63 | 65 | 75 | 76 | 46 | 75 | 0 | 32 | 775,000$/1yrs | |||
Derrick Pouliot | 2 | D | 100.00 | 70 | 39 | 71 | 66 | 78 | 83 | 81 | 65 | 30 | 67 | 58 | 62 | 52 | 71 | 72 | 69 | 75 | 0 | 30 | 775,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Yaroslav Askarov | 31 | 100.00 | 78 | 88 | 84 | 80 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 62 | 72 | 85 | 75 | 0 | 22 | 925,000$/1yrs |
Thomas Milic | 0 | 100.00 | 77 | 76 | 73 | 70 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 61 | 65 | 49 | 75 | 0 | 21 | 841,667$/3yrs |
Scratches | ||||||||||||||||||||
Ken Appleby | 97 | 100.00 | 63 | 56 | 57 | 88 | 62 | 61 | 63 | 62 | 61 | 63 | 62 | 68 | 81 | 36 | 75 | 0 | 29 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Geoff Ward | 71 | 75 | 70 | 72 | 90 | 84 | 56 | CAN | 62 | 1 | 350,000$ |
General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nikolai Kovalenko | Wranglers (CGY) | LW/RW | 4 | 1 | 2 | 3 | 0 | 0 | 0 | 4 | 9 | 1 | 13 | 11.11% | 0 | 23.54 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 5 | 0 | 0 | 31.82% | 22 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
2 | Danil Gushchin | Wranglers (CGY) | LW | 4 | 2 | 0 | 2 | 2 | 2 | 0 | 2 | 12 | 0 | 6 | 16.67% | 0 | 21.90 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 5 | 1 | 0 | 33.33% | 33 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
3 | Ronnie Attard | Wranglers (CGY) | D | 4 | 0 | 2 | 2 | 0 | 4 | 0 | 3 | 3 | 1 | 4 | 0.00% | 6 | 24.21 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
4 | Martin Chromiak | Wranglers (CGY) | RW | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 7 | 2 | 1 | 14.29% | 1 | 17.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 33.33% | 6 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
5 | Christoffer Sedoff | Wranglers (CGY) | D | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0.00% | 2 | 12.27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
6 | Alexander Alexeyev | Wranglers (CGY) | D | 4 | 0 | 1 | 1 | -1 | 0 | 0 | 3 | 3 | 1 | 1 | 0.00% | 3 | 20.93 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
7 | Denton Mateychuk | Wranglers (CGY) | D | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 3 | 0.00% | 2 | 19.04 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
8 | Ryan Ufko | Wranglers (CGY) | D | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 2 | 2 | 2 | 0.00% | 5 | 19.04 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
9 | Jordan Frasca | Wranglers (CGY) | C | 4 | 0 | 0 | 0 | -1 | 2 | 0 | 6 | 7 | 0 | 3 | 0.00% | 0 | 16.43 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 50.72% | 69 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Blade Jenkins | Wranglers (CGY) | C/LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 1 | 0.00% | 0 | 9.67 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 34.78% | 46 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Corson Ceulemans | Wranglers (CGY) | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 6 | 1 | 0 | 2 | 0.00% | 2 | 16.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Ty Tullio | Wranglers (CGY) | RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 3.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | William Villeneuve | Wranglers (CGY) | D | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 2 | 1 | 0.00% | 2 | 8.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Michael Pezzetta | Wranglers (CGY) | LW | 4 | 0 | 0 | 0 | -1 | 2 | 0 | 10 | 10 | 4 | 11 | 0.00% | 1 | 18.32 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Jakub Brabenec | Wranglers (CGY) | C/LW | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 5 | 1 | 2 | 0.00% | 0 | 16.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 55 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Sasha Pastujov | Wranglers (CGY) | RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 0 | 1 | 4 | 0.00% | 0 | 12.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Jakob Pelletier | Wranglers (CGY) | LW | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 3 | 14 | 4 | 4 | 0.00% | 2 | 19.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 56.76% | 37 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Brendan Lemieux | Wranglers (CGY) | LW/RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 9 | 8 | 3 | 6 | 0.00% | 0 | 17.62 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 60.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 72 | 4 | 8 | 12 | -10 | 12 | 0 | 67 | 89 | 25 | 64 | 4.49% | 26 | 16.50 | 0 | 0 | 0 | 49 | 0 | 0 | 0 | 47 | 2 | 0 | 44.21% | 285 | 0 | 0 | 0 | 0 | 0.20 | 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 | Yaroslav Askarov | Wranglers (CGY) | 4 | 2 | 2 | 0 | 0.944 | 1.50 | 240 | 0 | 2 | 6 | 108 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 2 | 0 | 0 |
Team Total or Average | 4 | 2 | 2 | 0 | 0.944 | 1.50 | 240 | 0 | 2 | 6 | 108 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 2 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Alexeyev | D | 24 | 825,000$ | 825,000$ | RFA | ||||||
Blade Jenkins | C/LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Brendan Lemieux | LW/RW | 28 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Christoffer Sedoff | D | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Corson Ceulemans | D | 21 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Danil Gushchin | LW | 22 | 828,333$ | 828,333$ | RFA | ||||||
Denton Mateychuk | D | 20 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Derrick Pouliot | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Isaac Ratcliffe | LW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Jakob Pelletier | LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
Jakub Brabenec | C/LW | 21 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Jordan Frasca | C | 23 | 859,167$ | 859,167$ | RFA | ||||||
Ken Appleby | G | 29 | 775,000$ | 775,000$ | UFA | ||||||
Martin Chromiak | RW | 22 | 820,000$ | 820,000$ | RFA | ||||||
Matthew Peca | C/LW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Michael Pezzetta | LW | 26 | 812,500$ | 812,500$ | RFA | ||||||
Nikolai Kovalenko | LW/RW | 25 | 896,250$ | 896,250$ | RFA | ||||||
Ronnie Attard | D | 25 | 850,000$ | 850,000$ | RFA | ||||||
Ryan Ufko | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Sasha Pastujov | RW | 21 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Thomas Milic | G | 21 | 841,667$ | 841,667$ | 841,667$ | 841,667$ | RFA | ||||
Ty Tullio | RW | 22 | 823,333$ | 823,333$ | RFA | ||||||
Tyler Pitlick | C/LW/RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
William Villeneuve | D | 22 | 817,778$ | 817,778$ | RFA | ||||||
Yaroslav Askarov | G | 22 | 925,000$ | 925,000$ | 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 | Canucks | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 3 | 1 | 0 | 0 | 55 | 38 | 25 | 26 | 0 | 57 | 15 | 8 | 32 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 50 | 111 | 45.05% | 60 | 130 | 46.15% | 16 | 44 | 36.36% | 90 | 62 | 98 | 28 | 50 | 25 | 50.0% | 5.5% | 94.7% | 100.2 | DULL |
2 | Moose | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 3 | 1 | 0 | 0 | 34 | 38 | 25 | 26 | 0 | 51 | 11 | 4 | 35 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 50 | 111 | 45.05% | 60 | 130 | 46.15% | 16 | 44 | 36.36% | 90 | 62 | 98 | 28 | 50 | 25 | 25.0% | 2.9% | 94.1% | 97.1 | DULL |
_Vs Division | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 1 | 3 | 1 | 0 | 0 | 55 | 38 | 25 | 26 | 0 | 57 | 15 | 8 | 32 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 50 | 111 | 45.05% | 60 | 130 | 46.15% | 16 | 44 | 36.36% | 90 | 62 | 98 | 28 | 50 | 25 | 50.0% | 5.5% | 94.7% | 100.2 | DULL | |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 3 | 1 | 0 | 0 | 34 | 38 | 25 | 26 | 0 | 51 | 11 | 4 | 35 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 50 | 111 | 45.05% | 60 | 130 | 46.15% | 16 | 44 | 36.36% | 90 | 62 | 98 | 28 | 50 | 25 | 25.0% | 2.9% | 94.1% | 97.1 | DULL | |
_Since Last GM Reset | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 4 | 0.500 | 4 | 8 | 12 | 0 | 2 | 3 | 1 | 0 | 0 | 89 | 38 | 25 | 26 | 0 | 108 | 26 | 12 | 67 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 50 | 111 | 45.05% | 60 | 130 | 46.15% | 16 | 44 | 36.36% | 90 | 62 | 98 | 28 | 50 | 25 | 40.0% | 4.5% | 94.4% | 98.9 | DULL | |
Total | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 4 | 0.500 | 4 | 8 | 12 | 0 | 2 | 3 | 1 | 0 | 0 | 89 | 38 | 25 | 26 | 0 | 108 | 26 | 12 | 67 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 50 | 111 | 45.05% | 60 | 130 | 46.15% | 16 | 44 | 36.36% | 90 | 62 | 98 | 28 | 50 | 25 | 40.0% | 4.5% | 94.4% | 98.9 | DULL |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 111 |
Neutral Zone Start | 44 |
Defensive Zone Start | 130 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 126 |
Faceoffs Lost | 159 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 15.8 | 20.31 |
3rd Period | 22.3 | 30.68 |
Overtime | 22.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 1.0 | 2.67 |
Overtime | 1.0 | 2.83 |
Even Strenght Goal | 4 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 2 |
Lost | 0 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 5 |
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PP Goal | 0 |
PK Attempt | 6 |
PK Goal Against | 0 |
Home | |
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Shots For | 22.3 |
Shots Against | 27.0 |
Goals For | 1.0 |
Goals Against | 1.5 |
Hits | 16.8 |
Shots Blocked | 6.5 |
Pim | 3.0 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
1,837,153$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Calgary | |
Capacity | 8000 | |
Season Ticket Holders | 20% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 3000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
36 | 0 - 0.00% | 0$ | 0$ | 8000 | 110 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
1,837,153$ | 1,837,153$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
188,376$ | 9,421$ | 155,672$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 178 | 11,216$ | 1,985,232$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,985,232$ | 0$ | 0$ | 0$ |
Sponsors | |||
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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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