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Full Scoreboard »» |
Abbotsford Canucks Team Overall:64 1-1-0, 2pts · 6th in Conférence EST |
Player | # | POS | CON | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 99.00 | 34 | 89 | 76 | 70 | 65 | 77 | 85 | 88 | 66 | 75 | 67 | 63 | 73 | 62 | 88 | 75 | 0 | 40 | 73 | 99.00 | 5,500,000$/1yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 28 | 70 | 36 | 92 | 68 | 71 | 82 | 86 | 67 | 73 | 66 | 70 | 72 | 67 | 69 | 71 | 0 | 40 | 72 | 100.00 | 725,000$/2yrs | ||
![]() | 0 | C | 97.00 | 24 | 84 | 75 | 80 | 64 | 96 | 78 | 79 | 67 | 75 | 68 | 64 | 65 | 63 | 66 | 68 | 0 | 40 | 72 | 97.00 | 1,573,333$/2yrs | ||
![]() | 0 | LW | 100.00 | 24 | 56 | 34 | 85 | 74 | 68 | 83 | 79 | 72 | 69 | 66 | 71 | 59 | 76 | 64 | 67 | 0 | 40 | 71 | 100.00 | 750,000$/2yrs | ||
![]() | 0 | C | 100.00 | 28 | 83 | 45 | 73 | 60 | 75 | 79 | 77 | 61 | 74 | 62 | 63 | 71 | 64 | 72 | 73 | 0 | 40 | 70 | 100.00 | 1,650,000$/1yrs | ||
![]() | 0 | LW | 100.00 | 23 | 62 | 36 | 85 | 66 | 72 | 84 | 86 | 67 | 63 | 67 | 65 | 59 | 68 | 66 | 64 | 0 | 40 | 70 | 100.00 | 1,137,500$/2yrs | ||
![]() | 0 | RW | 98.00 | 20 | 64 | 35 | 82 | 72 | 75 | 81 | 83 | 70 | 56 | 64 | 67 | 58 | 71 | 61 | 64 | 0 | 40 | 70 | 98.00 | 1,775,000$/3yrs | ||
![]() | 0 | C/LW/RW | 99.00 | 24 | 60 | 37 | 94 | 66 | 76 | 87 | 95 | 65 | 62 | 61 | 63 | 58 | 67 | 64 | 66 | 0 | 40 | 69 | 99.00 | 1,713,333$/1yrs | ||
![]() | 0 | C/LW | 100.00 | 25 | 74 | 37 | 91 | 62 | 69 | 89 | 78 | 63 | 79 | 64 | 57 | 66 | 62 | 67 | 71 | 0 | 40 | 69 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | C/RW | 100.00 | 24 | 74 | 37 | 88 | 66 | 69 | 82 | 85 | 64 | 72 | 65 | 61 | 62 | 63 | 65 | 66 | 0 | 40 | 69 | 100.00 | 925,000$/2yrs | ||
![]() | 0 | C | 100.00 | 25 | 60 | 37 | 91 | 63 | 72 | 78 | 85 | 65 | 77 | 63 | 62 | 58 | 66 | 67 | 69 | 0 | 40 | 68 | 100.00 | 1,491,667$/1yrs | ||
![]() | 0 | RW | 100.00 | 24 | 72 | 38 | 91 | 59 | 78 | 83 | 84 | 58 | 62 | 59 | 60 | 57 | 61 | 66 | 67 | 0 | 40 | 67 | 100.00 | 1,288,333$/1yrs | ||
![]() | 0 | D | 100.00 | 33 | 80 | 77 | 76 | 63 | 90 | 83 | 88 | 59 | 30 | 64 | 55 | 80 | 47 | 77 | 76 | 0 | 40 | 71 | 100.00 | 1,375,000$/1yrs | ||
![]() | 0 | D | 100.00 | 27 | 68 | 39 | 82 | 63 | 78 | 87 | 89 | 61 | 30 | 67 | 56 | 79 | 50 | 71 | 68 | 0 | 40 | 70 | 100.00 | 1,000,000$/1yrs | ||
![]() | 0 | D | 100.00 | 26 | 65 | 38 | 92 | 67 | 73 | 79 | 84 | 66 | 30 | 65 | 56 | 67 | 51 | 67 | 69 | 0 | 40 | 69 | 100.00 | 700,000$/1yrs | ||
![]() | 0 | D | 100.00 | 24 | 65 | 39 | 88 | 66 | 75 | 84 | 71 | 65 | 30 | 67 | 63 | 60 | 52 | 65 | 67 | 0 | 40 | 69 | 100.00 | 842,916$/1yrs | ||
![]() | 0 | D | 100.00 | 22 | 61 | 36 | 84 | 68 | 70 | 84 | 73 | 67 | 30 | 66 | 62 | 63 | 55 | 63 | 65 | 0 | 40 | 69 | 100.00 | 1,491,667$/1yrs | ||
![]() | 0 | D | 100.00 | 21 | 64 | 39 | 81 | 66 | 72 | 85 | 82 | 63 | 30 | 67 | 56 | 60 | 51 | 62 | 64 | 0 | 40 | 68 | 100.00 | 1,288,333$/3yrs | ||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 25 | 56 | 37 | 84 | 62 | 65 | 72 | 76 | 63 | 59 | 66 | 55 | 57 | 63 | 65 | 67 | 0 | 40 | 66 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | RW | 100.00 | 23 | 82 | 38 | 76 | 59 | 67 | 79 | 81 | 57 | 63 | 58 | 59 | 62 | 59 | 64 | 66 | 0 | 40 | 66 | 100.00 | 925,000$/2yrs | ||
![]() | 0 | C/RW | 100.00 | 24 | 68 | 39 | 78 | 58 | 77 | 74 | 75 | 57 | 66 | 59 | 56 | 57 | 54 | 65 | 67 | 0 | 40 | 65 | 100.00 | 816,667$/3yrs | ||
![]() | 0 | LW | 100.00 | 22 | 59 | 37 | 92 | 53 | 69 | 63 | 61 | 52 | 54 | 50 | 51 | 55 | 53 | 61 | 64 | 0 | 40 | 61 | 100.00 | 750,000$/3yrs | ||
![]() | 0 | LW | 100.00 | 28 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 767,500$/1yrs | ||
![]() | 0 | C/LW/RW | 100.00 | 22 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 925,000$/1yrs | ||
![]() | 0 | D | 100.00 | 26 | 90 | 47 | 72 | 61 | 73 | 84 | 75 | 59 | 30 | 67 | 54 | 68 | 49 | 66 | 67 | 0 | 40 | 68 | 100.00 | 750,000$/1yrs | ||
![]() | 0 | D | 100.00 | 23 | 72 | 39 | 91 | 60 | 85 | 82 | 76 | 59 | 30 | 62 | 56 | 65 | 49 | 64 | 66 | 0 | 40 | 68 | 100.00 | 705,667$/1yrs | ||
![]() | 0 | D | 100.00 | 21 | 62 | 37 | 89 | 66 | 69 | 86 | 77 | 65 | 30 | 64 | 60 | 62 | 52 | 61 | 63 | 0 | 40 | 68 | 100.00 | 1,523,333$/2yrs | ||
![]() | 0 | D | 100.00 | 24 | 77 | 39 | 82 | 57 | 87 | 76 | 85 | 59 | 30 | 61 | 57 | 63 | 48 | 64 | 66 | 0 | 40 | 67 | 100.00 | 830,416$/1yrs | ||
![]() | 0 | D | 100.00 | 22 | 68 | 38 | 82 | 62 | 81 | 73 | 77 | 60 | 30 | 59 | 58 | 56 | 49 | 63 | 65 | 0 | 40 | 66 | 100.00 | 863,333$/1yrs | ||
![]() | 0 | D | 100.00 | 21 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 40 | 17 | 100.00 | 910,833$/1yrs | ||
TEAM AVERAGE | 99.77 |
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 | AGE | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 25 | 77 | 86 | 90 | 77 | 77 | 76 | 66 | 75 | 0 | 40 | 68 | 708,750$/1yrs | ||||||||
![]() | 0 | 100.00 | 26 | 74 | 73 | 72 | 74 | 74 | 73 | 67 | 77 | 0 | 40 | 66 | 700,000$/1yrs | ||||||||
Scratches | |||||||||||||||||||||||
![]() | 0 | 100.00 | 22 | 74 | 73 | 75 | 74 | 74 | 73 | 63 | 69 | 0 | 40 | 65 | 910,833$/1yrs | ||||||||
TEAM AVERAGE | 100.00 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Burrows | 71 | 65 | 65 | 64 | 61 | 57 | 85 | CAN | 41 | 1 | 125,000$ |
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 | Logan Brown | C | 2 | 0 | 3 | 3 | 2 | 0 | 0 | 2 | 4 | 1 | 3 | 0.00% | 0 | 26.83 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 10 | 0 | 0 | 47.76% | 67 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 | |||
2 | Matt Benning | D | 2 | 1 | 1 | 2 | -1 | 0 | 0 | 2 | 4 | 0 | 2 | 25.00% | 4 | 27.73 | 1 | 0 | 1 | 4 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |||
3 | Nick Foligno | LW/RW | 2 | 1 | 1 | 2 | 2 | 6 | 0 | 7 | 7 | 0 | 4 | 14.29% | 1 | 25.30 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 7 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |||
4 | Vasily Podkolzin | RW | 2 | 2 | 0 | 2 | 2 | 0 | 0 | 1 | 7 | 0 | 6 | 28.57% | 0 | 24.02 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |||
5 | Alex Nylander | C/LW/RW | 2 | 0 | 1 | 1 | -1 | 2 | 0 | 0 | 7 | 0 | 5 | 0.00% | 1 | 24.35 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 52.38% | 21 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |||
6 | Cedric Paquette | C | 2 | 1 | 0 | 1 | -2 | 4 | 0 | 8 | 4 | 0 | 5 | 25.00% | 0 | 18.74 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 1 | 0 | 53.49% | 43 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |||
7 | Colton White | D | 2 | 0 | 1 | 1 | 2 | 2 | 0 | 4 | 2 | 0 | 0 | 0.00% | 4 | 22.85 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |||
8 | Oskar Steen | C/RW | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 5 | 4 | 0 | 2 | 25.00% | 1 | 18.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.96% | 27 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |||
9 | Lassi Thomson | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 1 | 1 | 0 | 0.00% | 1 | 15.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |||
10 | Adam Gaudette | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
11 | Brogan Rafferty | D | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 2 | 0 | 1 | 0.00% | 5 | 23.67 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
12 | Cameron Hughes | C/LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
13 | Colin Blackwell | C/LW/RW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 7 | 1 | 4 | 0.00% | 1 | 19.64 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 5 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
14 | Robert Bortuzzo | D | 2 | 0 | 0 | 0 | -1 | 5 | 5 | 7 | 3 | 0 | 2 | 0.00% | 1 | 26.58 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
15 | Zach Senyshyn | RW | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0.00% | 1 | 10.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
16 | Jack Rathbone | D | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0.00% | 4 | 15.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
17 | John Leonard | LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0.00% | 0 | 11.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
18 | Jonathan Dahlen | LW | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 7.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |||
Team Total or Average | 36 | 6 | 8 | 14 | 5 | 23 | 5 | 48 | 56 | 5 | 37 | 10.71% | 24 | 17.77 | 1 | 1 | 2 | 36 | 0 | 0 | 0 | 64 | 1 | 0 | 52.57% | 175 | 0 | 0 | 0 | 0 | 0.44 | 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 | Sam Montembeault | 2 | 1 | 0 | 1 | 0.902 | 2.75 | 131 | 0 | 0 | 6 | 61 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 | |
Team Total or Average | 2 | 1 | 0 | 1 | 0.902 | 2.75 | 131 | 0 | 0 | 6 | 61 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 0$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 0 |
LTIR Players | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Gaudette | C | 25 | 1,491,667$ | 1,491,667$ | |||||||
Alex Nylander | C/LW/RW | 24 | 1,713,333$ | 1,713,333$ | |||||||
Benjamin Tardif | LW | 22 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Brayden Burke | C/LW/RW | 25 | 925,000$ | 925,000$ | |||||||
Brogan Rafferty | D | 26 | 700,000$ | 700,000$ | |||||||
Cameron Hughes | C/LW | 25 | 925,000$ | 925,000$ | |||||||
Cedric Paquette | C | 28 | 1,650,000$ | 1,650,000$ | |||||||
Colin Blackwell | C/LW/RW | 28 | 725,000$ | 725,000$ | 725,000$ | ||||||
Colton White | D | 24 | 750,000$ | 750,000$ | |||||||
Dmitri Samorukov | D | 22 | 863,333$ | 863,333$ | |||||||
| 0$ | 0$ | |||||||||
J.C. Beaudin | C/RW | 24 | 874,125$ | 874,125$ | 874,125$ | 874,125$ | |||||
Jack Rathbone | D | 22 | 1,491,667$ | 1,491,667$ | |||||||
Jacob Moverare | D | 23 | 705,667$ | 705,667$ | |||||||
John Leonard | LW | 23 | 1,137,500$ | 1,137,500$ | 1,137,500$ | ||||||
Jonathan Dahlen | LW | 24 | 750,000$ | 750,000$ | 750,000$ | ||||||
Josh Brook | D | 21 | 910,833$ | 910,833$ | |||||||
Kenny Agostino | LW | 28 | 767,500$ | 767,500$ | |||||||
Kyle Burroughs | D | 26 | 750,000$ | 750,000$ | |||||||
Lassi Thomson | D | 21 | 1,288,333$ | 1,288,333$ | 1,288,333$ | 1,288,333$ | |||||
Lean Bergmann | C/LW/RW | 22 | 925,000$ | 925,000$ | |||||||
Logan Brown | C | 24 | 1,573,333$ | 1,573,333$ | 1,573,333$ | ||||||
Matt Benning | D | 27 | 1,000,000$ | 1,000,000$ | |||||||
| 0$ | 0$ | |||||||||
Nick Foligno | LW/RW | 34 | 5,500,000$ | 5,500,000$ | |||||||
Oskar Steen | C/RW | 24 | 925,000$ | 925,000$ | 925,000$ | ||||||
Robert Bortuzzo | D | 33 | 1,375,000$ | 1,375,000$ | |||||||
| 0$ | 0$ | |||||||||
Sean Day | D | 24 | 750,000$ | 750,000$ | |||||||
Vasily Podkolzin | RW | 20 | 1,775,000$ | 1,775,000$ | 1,775,000$ | 1,775,000$ | |||||
Victor Soderstrom | D | 21 | 1,523,333$ | 1,523,333$ | 1,523,333$ | ||||||
William Lockwood | RW | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
Zach Senyshyn | RW | 24 | 1,288,333$ | 1,288,333$ |
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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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 2 | 0 | 56 | 13 | 23 | 17 | 3 | 61 | 24 | 23 | 48 | 4 | 1 | 25.00% | 9 | 2 | 77.78% | 0 | 35 | 67 | 52.24% | 35 | 70 | 50.00% | 22 | 38 | 57.89% | 49 | 33 | 51 | 16 | 30 | 15 | 55.6% | 10.7% | 90.2% | 100.9 | FUN | |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 2 | 0 | 56 | 13 | 23 | 17 | 3 | 61 | 24 | 23 | 48 | 4 | 1 | 25.00% | 9 | 2 | 77.78% | 0 | 35 | 67 | 52.24% | 35 | 70 | 50.00% | 22 | 38 | 57.89% | 49 | 33 | 51 | 16 | 30 | 15 | 55.6% | 10.7% | 90.2% | 100.9 | FUN | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 2 | 0 | 56 | 13 | 23 | 17 | 3 | 61 | 24 | 23 | 48 | 4 | 1 | 25.00% | 9 | 2 | 77.78% | 0 | 35 | 67 | 52.24% | 35 | 70 | 50.00% | 22 | 38 | 57.89% | 49 | 33 | 51 | 16 | 30 | 15 | 55.6% | 10.7% | 90.2% | 100.9 | FUN | |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 8 | 14 | 0 | 0 | 2 | 2 | 2 | 0 | 56 | 13 | 23 | 17 | 3 | 61 | 24 | 23 | 48 | 4 | 1 | 25.00% | 9 | 2 | 77.78% | 0 | 35 | 67 | 52.24% | 35 | 70 | 50.00% | 22 | 38 | 57.89% | 49 | 33 | 51 | 16 | 30 | 15 | 55.6% | 10.7% | 90.2% | 100.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 15 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 67 |
Neutral Zone Start | 38 |
Defensive Zone Start | 70 |
Puck Time | |
---|---|
With Puck | 32 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 92 |
Faceoffs Lost | 83 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.5 | 9.57 |
2nd Period | 18.0 | 20.31 |
3rd Period | 26.5 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 5 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 4 |
---|---|
PP Goal | 1 |
PK Attempt | 9 |
PK Goal Against | 2 |
Home | |
---|---|
Shots For | 28.0 |
Shots Against | 30.5 |
Goals For | 3.0 |
Goals Against | 3.0 |
Hits | 24.0 |
Shots Blocked | 12.0 |
Pim | 11.5 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-03-21 | @ | Canucks2,Wolves3 (OT) | RECAP | ||
2023-03-23 | @ | Canucks4,Wolves3 | RECAP | ||
2023-03-25 | @ | ||||
2023-03-27 | @ | ||||
2023-03-29 | @ | ||||
2023-03-31 | @ | ||||
2023-04-02 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
36,349,376$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Abbotsford | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
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 | |||||
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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$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
36,349,376$ | 36,465,248$ | 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$ | 10 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 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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