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Full Scoreboard »» |
![]() | Charlotte Checkers 2 2-2-0, 4pts · 8th in Conference 2 |
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 | 98.00 | 74 | 52 | 77 | 72 | 75 | 80 | 82 | 71 | 42 | 67 | 64 | 69 | 69 | 78 | 64 | 1 | 50 | 69 | 30 | 975,000$/3yrs | |||
![]() | 0 | LW/RW | 98.00 | 69 | 40 | 88 | 72 | 84 | 82 | 85 | 69 | 48 | 65 | 64 | 67 | 68 | 84 | 74 | 1 | 50 | 69 | 29 | 1,800,000$/4yrs | |||
![]() | 0 | LW | 98.00 | 86 | 78 | 72 | 70 | 83 | 76 | 85 | 68 | 44 | 62 | 63 | 66 | 66 | 87 | 77 | 1 | 50 | 68 | 34 | 2,200,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 73 | 48 | 68 | 67 | 72 | 74 | 74 | 66 | 42 | 66 | 59 | 65 | 64 | 78 | 57 | 1 | 50 | 65 | 29 | 2,200,000$/4yrs | |||
![]() | 0 | C | 98.00 | 55 | 46 | 67 | 69 | 59 | 73 | 72 | 66 | 64 | 61 | 64 | 59 | 67 | 70 | 58 | 1 | 50 | 63 | 31 | 3,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 67 | 44 | 66 | 64 | 70 | 67 | 65 | 62 | 45 | 60 | 56 | 65 | 60 | 54 | 50 | 1 | 50 | 61 | 26 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 98.00 | 57 | 43 | 59 | 65 | 57 | 65 | 64 | 60 | 43 | 60 | 58 | 62 | 61 | 60 | 53 | 1 | 50 | 60 | 30 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 55 | 40 | 73 | 60 | 64 | 69 | 67 | 63 | 44 | 64 | 55 | 52 | 59 | 59 | 52 | 1 | 50 | 59 | 29 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 41 | 73 | 65 | 62 | 64 | 62 | 63 | 61 | 59 | 58 | 53 | 62 | 51 | 50 | 1 | 50 | 59 | 23 | 1,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 98.00 | 58 | 44 | 61 | 61 | 62 | 64 | 62 | 60 | 42 | 58 | 56 | 55 | 58 | 52 | 50 | 1 | 50 | 57 | 25 | 1,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 74 | 70 | 63 | 74 | 77 | 80 | 77 | 69 | 40 | 64 | 62 | 71 | 68 | 68 | 58 | 1 | 50 | 69 | 29 | 2,000,000$/4yrs | |||
![]() | 0 | D | 98.00 | 66 | 41 | 72 | 67 | 69 | 67 | 64 | 64 | 40 | 62 | 57 | 68 | 63 | 65 | 51 | 1 | 50 | 64 | 26 | 4,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 46 | 64 | 72 | 60 | 70 | 69 | 67 | 40 | 64 | 63 | 69 | 68 | 57 | 51 | 1 | 50 | 64 | 28 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 43 | 68 | 65 | 64 | 71 | 69 | 62 | 40 | 59 | 55 | 63 | 61 | 70 | 52 | 1 | 50 | 62 | 28 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 69 | 63 | 65 | 63 | 60 | 56 | 40 | 53 | 52 | 62 | 57 | 52 | 50 | 1 | 50 | 59 | 25 | 1,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 64 | 42 | 64 | 60 | 67 | 63 | 62 | 58 | 40 | 54 | 54 | 64 | 57 | 51 | 50 | 1 | 50 | 59 | 24 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 41 | 70 | 65 | 61 | 61 | 59 | 58 | 40 | 53 | 54 | 60 | 59 | 50 | 50 | 1 | 50 | 58 | 22 | 1,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 55 | 42 | 62 | 62 | 61 | 64 | 62 | 60 | 40 | 58 | 55 | 59 | 59 | 52 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 61 | 40 | 62 | 59 | 62 | 61 | 58 | 55 | 47 | 54 | 54 | 57 | 56 | 52 | 50 | 1 | 50 | 56 | 25 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 55 | 41 | 67 | 61 | 58 | 62 | 60 | 57 | 40 | 54 | 54 | 54 | 57 | 52 | 50 | 1 | 50 | 56 | 25 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 58 | 54 | 60 | 65 | 66 | 64 | 57 | 42 | 51 | 52 | 54 | 56 | 55 | 50 | 1 | 50 | 56 | 27 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 59 | 40 | 69 | 64 | 61 | 62 | 59 | 54 | 40 | 51 | 52 | 55 | 56 | 52 | 50 | 1 | 50 | 55 | 25 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 41 | 59 | 58 | 62 | 62 | 61 | 55 | 40 | 53 | 54 | 54 | 56 | 55 | 50 | 1 | 50 | 55 | 28 | 1,000,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 40 | 62 | 60 | 61 | 60 | 58 | 55 | 40 | 53 | 53 | 54 | 56 | 51 | 50 | 1 | 50 | 55 | 24 | 1,000,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 54 | 40 | 64 | 57 | 57 | 60 | 57 | 52 | 40 | 51 | 51 | 52 | 53 | 55 | 50 | 1 | 50 | 53 | 28 | 1,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 53 | 41 | 65 | 56 | 59 | 65 | 64 | 54 | 40 | 51 | 51 | 56 | 54 | 60 | 53 | 1 | 50 | 56 | 32 | 3,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 52 | 41 | 64 | 58 | 56 | 61 | 59 | 55 | 40 | 54 | 52 | 55 | 55 | 75 | 52 | 1 | 50 | 56 | 27 | 2,000,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 73 | 68 | 66 | 65 | 68 | 69 | 70 | 68 | 70 | 69 | 68 | 67 | 60 | 1 | 50 | 63 | 31 | 4,000,000$/1yrs |
![]() | 0 | 100.00 | 68 | 66 | 66 | 69 | 68 | 68 | 69 | 67 | 68 | 68 | 62 | 55 | 51 | 1 | 50 | 62 | 28 | 1,000,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 72 | 64 | 64 | 62 | 66 | 66 | 68 | 64 | 67 | 68 | 59 | 55 | 50 | 1 | 50 | 60 | 27 | 1,200,000$/3yrs |
![]() | 0 | 100.00 | 66 | 58 | 56 | 65 | 63 | 62 | 63 | 59 | 63 | 61 | 52 | 53 | 50 | 1 | 50 | 57 | 26 | 1,000,000$/3yrs |
![]() | 0 | 100.00 | 63 | 57 | 57 | 64 | 62 | 61 | 61 | 59 | 62 | 61 | 56 | 51 | 50 | 1 | 50 | 56 | 24 | 1,000,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Burrows | 71 | 67 | 70 | 69 | 57 | 53 | 1 | CAN | 44 | 1 | 1,000,000$ |
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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sheldon Dries | ![]() | C | 4 | 3 | 2 | 5 | 1 | 2 | 0 | 7 | 14 | 4 | 8 | 21.43% | 0 | 18.37 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 57.89% | 0 | 0 | 1.25 | 1 | 1 | 1.23 | |||
2 | Kyle Burroughs | ![]() | D | 4 | 0 | 4 | 4 | -5 | 0 | 0 | 7 | 7 | 0 | 2 | 0.00% | 3 | 22.78 | 0 | 3 | 3 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 1 | 0.40 | |||
3 | Donavan Houle | ![]() | C/LW/RW | 4 | 1 | 2 | 3 | 1 | 6 | 0 | 6 | 2 | 1 | 4 | 50.00% | 0 | 18.48 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.75 | 0 | 0 | 0.43 | |||
4 | Gage Quinney | ![]() | C | 4 | 0 | 2 | 2 | 2 | 0 | 0 | 4 | 2 | 0 | 2 | 0.00% | 1 | 12.88 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 72.73% | 0 | 0 | 0.50 | 0 | 0 | 0.58 | |||
5 | Nicolas Deslauriers | ![]() | LW | 4 | 2 | 0 | 2 | -2 | 14 | 10 | 7 | 12 | 1 | 3 | 16.67% | 3 | 20.70 | 2 | 0 | 2 | 0 | 0 | 0 | 3 | 1 | 0 | 50.00% | 0 | 0 | 0.50 | 0 | 1 | -0.09 | |||
6 | Cale Fleury | ![]() | D | 4 | 1 | 0 | 1 | -5 | 0 | 0 | 3 | 7 | 3 | 1 | 14.29% | 2 | 22.88 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 1 | 1 | -0.08 | |||
7 | Sammy Blais | ![]() | LW | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 3 | 1 | 3 | 0.00% | 0 | 16.30 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 0 | 0 | 0.25 | 0 | 1 | 0.24 | |||
8 | Jeremy Davies | ![]() | D | 4 | 1 | 0 | 1 | 3 | 0 | 0 | 6 | 1 | 0 | 1 | 100.00% | 1 | 17.73 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 1 | 0.51 | |||
9 | Cédric Paré | ![]() | C | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 7 | 1 | 3 | 0.00% | 2 | 15.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.18% | 0 | 0 | 0.25 | 0 | 0 | 0.33 | |||
10 | Hudson Fasching | ![]() | LW/RW | 4 | 0 | 1 | 1 | -3 | 0 | 0 | 2 | 13 | 4 | 7 | 0.00% | 0 | 22.80 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 40.00% | 0 | 0 | 0.25 | 0 | 1 | 0.17 | |||
11 | Dmitry Kuzmin | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 9.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
12 | Drew Bavaro | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 12.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
13 | Laurent Dauphin | ![]() | C/LW/RW | 4 | 0 | 0 | 0 | -2 | 7 | 5 | 4 | 5 | 1 | 0 | 0.00% | 1 | 18.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 0 | 0 | 0.00 | 0 | 0 | -0.40 | |||
14 | Cade Webber | ![]() | D | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 0.00% | 2 | 11.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | |||
15 | Dylan Anhorn | ![]() | D | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 8.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
16 | Colton White | ![]() | D | 4 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 2 | 17.68 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.29 | |||
17 | Zach Aston-Reese | ![]() | C | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 7 | 17 | 4 | 8 | 0.00% | 2 | 24.14 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 36.00% | 0 | 0 | 0.00 | 1 | 1 | 0.17 | |||
18 | Jan Mysak | ![]() | C | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 0 | 1 | 0.00% | 0 | 10.89 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 25.00% | 0 | 0 | 0.00 | 0 | 0 | -0.08 | |||
Team Total or Average | 72 | 8 | 13 | 21 | -10 | 31 | 15 | 70 | 92 | 21 | 44 | 8.70% | 19 | 16.70 | 3 | 5 | 8 | 48 | 0 | 0 | 0 | 48 | 1 | 0 | 45.51% | 167 | 25 | 19 | 0 | 0 | 0.35 | 3 | 8 |
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 | Matt Murray | ![]() | 4 | 2 | 2 | 0 | 0.845 | 2.66 | 203 | 0 | 0 | 9 | 58 | 32 | 0 | 0 | 0.750 | 8 | 4 | 0 | 0 | 0 | 0 |
2 | Connor Hughes | ![]() | 1 | 0 | 0 | 0 | 1.000 | 0.00 | 41 | 0 | 0 | 0 | 12 | 8 | 0 | 0 | 0.000 | 0 | 0 | 4 | 0 | 0 | 0 |
Team Total or Average | 5 | 2 | 2 | 0 | 0.871 | 2.21 | 244 | 0 | 0 | 9 | 70 | 40 | 0 | 0 | 0.750 | 8 | 4 | 4 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Cade Webber | D | 24 | 975,000$ | 975,000$ | |||||||
Cale Fleury | D | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | |||||
Carter Gylander | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Carter Wilkie | C | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Chris Wilkie | RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Colton White | D | 28 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Conner Murphy | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Connor Hughes | G | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Connor MacEachern | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Cédric Paré | C | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Dmitry Kuzmin | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Donavan Houle | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Drew Bavaro | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Dylan Anhorn | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Easton Brodzinski | C/LW/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Gage Quinney | C | 29 | 975,000$ | 975,000$ | UFA | ||||||
Harrison Scott | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Hudson Fasching | LW/RW | 29 | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||
Ian McKinnon | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Jack Randl | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Jan Mysak | C | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Jeremy Davies | D | 28 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Kyle Burroughs | D | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||
Laurent Dauphin | C/LW/RW | 30 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Matt Murray | G | 31 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Nicolas Deslauriers | LW | 34 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
Sammy Blais | LW | 29 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
Scott Harrington | D | 32 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Sheldon Dries | C | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA | |||||
Victor Mete | D | 27 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Zach Aston-Reese | C | 30 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Zach Sawchenko | G | 27 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 4 | 3 | 3 | 20 | 27 | 46 | 17 | 10 | 14 | 4 | 4 | 12 | 2 | 2 | 100.00% | 2 | 1 | 50.00% | 0 | 26 | 58 | 44.83% | 33 | 58 | 56.90% | 17 | 45 | 37.78% | 77 | 34 | 70 | 42 | 96 | 48 | 100.0% | 15.0% | 92.9% | 107.9 | LUCKY |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 1 | 4 | 3 | 3 | 23 | 27 | 46 | 17 | 10 | 21 | 1 | 4 | 13 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 26 | 58 | 44.83% | 33 | 58 | 56.90% | 17 | 45 | 37.78% | 77 | 34 | 70 | 42 | 96 | 48 | 50.0% | 4.3% | 90.5% | 94.8 | Unlucky |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 1 | 4 | 3 | 3 | 16 | 27 | 46 | 17 | 10 | 12 | 5 | 12 | 25 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 26 | 58 | 44.83% | 33 | 58 | 56.90% | 17 | 45 | 37.78% | 77 | 34 | 70 | 42 | 96 | 48 | 60.0% | 18.8% | 83.3% | 102.1 | FUN |
4 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 4 | 3 | 3 | 33 | 27 | 46 | 17 | 10 | 23 | 9 | 11 | 20 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 26 | 58 | 44.83% | 33 | 58 | 56.90% | 17 | 45 | 37.78% | 77 | 34 | 70 | 42 | 96 | 48 | 20.0% | 6.1% | 82.6% | 88.7 | Unlucky |
_Vs Conference | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 9 | 0 | 4 | 0.500 | 9 | 13 | 22 | 0 | 0 | 1 | 4 | 3 | 3 | 92 | 27 | 46 | 17 | 10 | 70 | 19 | 31 | 70 | 7 | 3 | 42.86% | 8 | 2 | 75.00% | 0 | 26 | 58 | 44.83% | 33 | 58 | 56.90% | 17 | 45 | 37.78% | 77 | 34 | 70 | 42 | 96 | 48 | 46.2% | 9.8% | 87.1% | 96.9 | FUN | |
_Since Last GM Reset | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 9 | 0 | 4 | 0.500 | 9 | 13 | 22 | 0 | 0 | 1 | 4 | 3 | 3 | 92 | 27 | 46 | 17 | 10 | 70 | 19 | 31 | 70 | 7 | 3 | 42.86% | 8 | 2 | 75.00% | 0 | 26 | 58 | 44.83% | 33 | 58 | 56.90% | 17 | 45 | 37.78% | 77 | 34 | 70 | 42 | 96 | 48 | 46.2% | 9.8% | 87.1% | 96.9 | FUN | |
Total | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 9 | 9 | 0 | 4 | 0.500 | 9 | 13 | 22 | 0 | 0 | 1 | 4 | 3 | 3 | 92 | 27 | 46 | 17 | 10 | 70 | 19 | 31 | 70 | 7 | 3 | 42.86% | 8 | 2 | 75.00% | 0 | 26 | 58 | 44.83% | 33 | 58 | 56.90% | 17 | 45 | 37.78% | 77 | 34 | 70 | 42 | 96 | 48 | 46.2% | 9.8% | 87.1% | 96.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 19 |
Neutral Zone | 24 |
Defensive Zone | 17 |
Puck Time | |
---|---|
Offensive Zone Start | 58 |
Neutral Zone Start | 45 |
Defensive Zone Start | 58 |
Puck Time | |
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With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 76 |
Faceoffs Lost | 85 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 6.8 | 9.57 |
2nd Period | 18.3 | 20.31 |
3rd Period | 22.5 | 30.68 |
Overtime | 25.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 6 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 0 |
Lost | 0 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 7 |
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PP Goal | 3 |
PK Attempt | 8 |
PK Goal Against | 2 |
Home | |
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Shots For | 23.0 |
Shots Against | 17.5 |
Goals For | 2.3 |
Goals Against | 2.3 |
Hits | 17.5 |
Shots Blocked | 4.8 |
Pim | 7.8 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | SEA1,CAL2 | RECAP | |||||||||
Sat, Oct 11 | ![]() | @ | ![]() | EDM2,SEA3 (SO) | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | SEA2,LOS4 | RECAP | |||||||||
Wed, Oct 15 | ![]() | @ | ![]() | ANA1,SEA3 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
4,982,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Charlotte | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
4,982,500$ | 4,982,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
283,192$ | 0$ | 235,856$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 35,399$ | 5,699,239$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
5,699,239$ | 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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