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Full Scoreboard »» |
![]() | Ontario Reign 1-2-0, 2pts · 13th 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/LW/RW | 100.00 | 61 | 40 | 79 | 74 | 71 | 76 | 69 | 75 | 54 | 72 | 72 | 61 | 74 | 53 | 50 | 1 | 50 | 68 | 20 | 975,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 41 | 77 | 73 | 68 | 79 | 77 | 67 | 52 | 64 | 64 | 63 | 68 | 83 | 69 | 1 | 50 | 66 | 31 | 2,000,000$/2yrs | |||
![]() | 0 | C | 100.00 | 76 | 45 | 76 | 71 | 74 | 74 | 64 | 66 | 47 | 59 | 63 | 63 | 66 | 52 | 50 | 1 | 50 | 63 | 25 | 975,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 56 | 40 | 69 | 68 | 74 | 75 | 59 | 63 | 40 | 60 | 61 | 59 | 64 | 51 | 50 | 1 | 50 | 61 | 19 | 975,000$/3yrs | |||
![]() | 0 | C | 100.00 | 64 | 43 | 65 | 69 | 63 | 62 | 60 | 63 | 43 | 59 | 60 | 63 | 64 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/2yrs | |||
![]() | 0 | C | 100.00 | 64 | 40 | 74 | 65 | 75 | 70 | 60 | 62 | 72 | 58 | 58 | 60 | 61 | 51 | 50 | 1 | 50 | 60 | 29 | 1,200,000$/4yrs | |||
![]() | 0 | C | 100.00 | 56 | 40 | 69 | 66 | 78 | 70 | 59 | 62 | 43 | 59 | 59 | 59 | 62 | 51 | 50 | 1 | 50 | 60 | 23 | 1,000,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 54 | 42 | 70 | 67 | 60 | 64 | 63 | 67 | 45 | 64 | 63 | 51 | 66 | 51 | 50 | 1 | 50 | 60 | 23 | 975,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 62 | 47 | 62 | 61 | 70 | 67 | 65 | 64 | 44 | 62 | 58 | 55 | 61 | 53 | 50 | 1 | 50 | 60 | 25 | 950,000$/2yrs | |||
![]() | 0 | C | 100.00 | 56 | 41 | 72 | 65 | 63 | 66 | 64 | 62 | 57 | 59 | 58 | 54 | 62 | 52 | 50 | 1 | 50 | 59 | 25 | 1,100,000$/2yrs | |||
![]() | 0 | C | 100.00 | 57 | 48 | 61 | 66 | 59 | 64 | 63 | 63 | 43 | 61 | 57 | 57 | 62 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/3yrs | |||
![]() | 0 | C | 100.00 | 60 | 41 | 71 | 65 | 63 | 63 | 62 | 59 | 42 | 57 | 53 | 57 | 59 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 42 | 76 | 74 | 73 | 83 | 76 | 68 | 40 | 64 | 63 | 67 | 68 | 84 | 73 | 1 | 50 | 68 | 28 | 1,450,000$/3yrs | |||
![]() | 0 | D | 100.00 | 67 | 41 | 72 | 78 | 69 | 77 | 69 | 68 | 40 | 63 | 62 | 71 | 69 | 53 | 50 | 1 | 50 | 67 | 24 | 950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 41 | 74 | 69 | 78 | 76 | 66 | 66 | 40 | 60 | 60 | 67 | 65 | 56 | 50 | 1 | 50 | 65 | 26 | 1,200,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 44 | 73 | 68 | 69 | 70 | 65 | 68 | 40 | 65 | 59 | 62 | 65 | 55 | 50 | 1 | 50 | 63 | 21 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 44 | 65 | 68 | 64 | 62 | 59 | 64 | 40 | 56 | 61 | 60 | 64 | 50 | 50 | 1 | 50 | 60 | 21 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 42 | 69 | 65 | 65 | 65 | 63 | 59 | 40 | 55 | 52 | 66 | 59 | 53 | 50 | 1 | 50 | 60 | 26 | 975,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 59 | 41 | 68 | 66 | 63 | 61 | 59 | 61 | 42 | 57 | 56 | 55 | 61 | 51 | 50 | 1 | 50 | 58 | 23 | 975,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 57 | 40 | 72 | 67 | 57 | 60 | 57 | 61 | 43 | 60 | 55 | 56 | 61 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 41 | 68 | 62 | 62 | 62 | 61 | 61 | 42 | 61 | 57 | 57 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 1,100,000$/4yrs | |||
![]() | 0 | C | 100.00 | 61 | 41 | 67 | 62 | 62 | 61 | 59 | 59 | 51 | 57 | 55 | 59 | 58 | 50 | 50 | 1 | 50 | 58 | 21 | 1,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 46 | 58 | 62 | 62 | 62 | 61 | 61 | 42 | 59 | 58 | 54 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 1,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 56 | 44 | 65 | 66 | 61 | 64 | 61 | 62 | 43 | 56 | 57 | 53 | 62 | 52 | 50 | 1 | 50 | 58 | 24 | 1,000,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 56 | 45 | 62 | 65 | 61 | 62 | 59 | 61 | 42 | 54 | 55 | 53 | 60 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/2yrs | |||
![]() | 0 | C | 100.00 | 55 | 43 | 68 | 63 | 62 | 66 | 64 | 60 | 42 | 54 | 57 | 51 | 60 | 52 | 50 | 1 | 50 | 57 | 25 | 1,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 61 | 48 | 57 | 62 | 63 | 62 | 61 | 61 | 42 | 55 | 57 | 56 | 60 | 51 | 50 | 1 | 50 | 57 | 23 | 867,500$/1yrs | |||
![]() | 0 | C | 100.00 | 64 | 42 | 63 | 58 | 68 | 60 | 58 | 57 | 49 | 54 | 55 | 56 | 57 | 50 | 50 | 1 | 50 | 56 | 22 | 870,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 59 | 41 | 66 | 61 | 62 | 62 | 61 | 59 | 41 | 54 | 56 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 22 | 851,667$/2yrs | |||
![]() | 0 | LW | 100.00 | 59 | 53 | 57 | 60 | 65 | 67 | 65 | 58 | 40 | 53 | 53 | 54 | 56 | 57 | 50 | 1 | 50 | 56 | 28 | 1,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 60 | 40 | 69 | 62 | 64 | 60 | 57 | 55 | 40 | 52 | 52 | 54 | 56 | 51 | 50 | 1 | 50 | 55 | 23 | 1,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 40 | 66 | 61 | 62 | 55 | 53 | 54 | 40 | 53 | 53 | 55 | 55 | 50 | 50 | 1 | 50 | 55 | 20 | 975,000$/3yrs | |||
![]() | 0 | C | 100.00 | 61 | 40 | 66 | 60 | 62 | 55 | 53 | 56 | 48 | 54 | 54 | 54 | 57 | 50 | 50 | 1 | 50 | 55 | 20 | 845,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 60 | 40 | 66 | 58 | 63 | 58 | 57 | 55 | 40 | 54 | 53 | 54 | 55 | 50 | 50 | 1 | 50 | 55 | 22 | 1,100,000$/4yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 59 | 62 | 62 | 58 | 56 | 55 | 40 | 54 | 54 | 61 | 57 | 50 | 50 | 1 | 50 | 57 | 21 | 975,000$/4yrs | |||
![]() | 0 | D | 100.00 | 55 | 40 | 66 | 62 | 55 | 60 | 58 | 55 | 40 | 54 | 53 | 59 | 57 | 51 | 50 | 1 | 50 | 56 | 24 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 57 | 40 | 57 | 57 | 58 | 52 | 51 | 52 | 40 | 51 | 52 | 54 | 53 | 50 | 50 | 1 | 50 | 54 | 21 | 975,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 99.00 | 85 | 80 | 80 | 84 | 84 | 81 | 80 | 80 | 80 | 84 | 80 | 63 | 56 | 1 | 50 | 74 | 28 | 3,700,000$/2yrs |
![]() | 0 | 100.00 | 80 | 69 | 71 | 72 | 74 | 77 | 80 | 78 | 79 | 75 | 68 | 56 | 52 | 1 | 50 | 69 | 24 | 2,100,000$/4yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 70 | 65 | 69 | 74 | 71 | 71 | 72 | 69 | 71 | 70 | 59 | 52 | 50 | 1 | 50 | 64 | 25 | 1,400,000$/2yrs |
![]() | 0 | 100.00 | 71 | 63 | 66 | 66 | 68 | 68 | 71 | 66 | 69 | 68 | 58 | 52 | 50 | 1 | 50 | 62 | 24 | 1,500,000$/2yrs |
![]() | 0 | 100.00 | 69 | 62 | 64 | 66 | 67 | 66 | 69 | 65 | 67 | 67 | 58 | 51 | 50 | 1 | 50 | 61 | 23 | 975,000$/2yrs |
![]() | 0 | 100.00 | 68 | 58 | 57 | 60 | 63 | 65 | 68 | 66 | 66 | 63 | 57 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Yeo | 78 | 73 | 77 | 75 | 60 | 56 | 1 | CAN | 51 | 2 | 1,000,000$ |
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 | Vinnie Hinostroza | ![]() | C/RW | 3 | 2 | 1 | 3 | -1 | 0 | 0 | 5 | 8 | 0 | 10 | 25.00% | 3 | 26.13 | 0 | 1 | 1 | 0 | 0 | 0 | 11 | 1 | 0 | 54.37% | 0 | 0 | 1.00 | 0 | 0 | 0.92 | |||
2 | Pavol Regenda | ![]() | LW | 3 | 2 | 1 | 3 | 2 | 6 | 0 | 6 | 7 | 1 | 1 | 28.57% | 1 | 16.23 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 64.29% | 0 | 0 | 1.00 | 0 | 0 | 0.85 | |||
3 | Ethan Samson | ![]() | D | 3 | 0 | 2 | 2 | 2 | 0 | 0 | 3 | 0 | 0 | 4 | 0.00% | 1 | 16.28 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.74 | |||
4 | Jared Davidson | ![]() | C | 3 | 1 | 1 | 2 | 0 | 0 | 0 | 6 | 9 | 2 | 8 | 11.11% | 0 | 15.85 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 40.00% | 0 | 0 | 0.67 | 0 | 0 | 0.79 | |||
5 | Ivan Demidov | ![]() | RW | 3 | 1 | 1 | 2 | 0 | 2 | 0 | 9 | 9 | 3 | 8 | 11.11% | 2 | 22.72 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 0 | 0 | 45.45% | 0 | 0 | 0.67 | 0 | 0 | 0.72 | |||
6 | Jan Jenik | ![]() | C | 3 | 0 | 2 | 2 | 0 | 2 | 0 | 3 | 0 | 0 | 2 | 0.00% | 0 | 11.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.67 | 0 | 0 | 0.34 | |||
7 | Kevin Korchinski | ![]() | D | 3 | 0 | 1 | 1 | -1 | 4 | 0 | 2 | 9 | 1 | 1 | 0.00% | 5 | 20.57 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.18 | |||
8 | Rodrigo Abols | ![]() | C | 3 | 0 | 1 | 1 | 2 | 4 | 0 | 6 | 3 | 0 | 7 | 0.00% | 1 | 16.46 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 50.00% | 0 | 0 | 0.33 | 0 | 0 | 0.38 | |||
9 | Tim Washe | ![]() | C | 3 | 0 | 1 | 1 | -1 | 0 | 0 | 2 | 10 | 1 | 6 | 0.00% | 0 | 12.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47.62% | 0 | 0 | 0.33 | 0 | 0 | 0.41 | |||
10 | Oliver Kylington | ![]() | D | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 10 | 3 | 2 | 0.00% | 7 | 28.57 | 0 | 1 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.66 | |||
11 | Danil Gushchin | ![]() | LW | 3 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 3 | 3 | 6 | 33.33% | 2 | 16.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.33 | 0 | 0 | 0.69 | |||
12 | Marc Gatcomb | ![]() | C | 3 | 0 | 1 | 1 | 0 | 7 | 5 | 4 | 7 | 4 | 8 | 0.00% | 0 | 18.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 0 | 0 | 0.33 | 0 | 0 | 0.09 | |||
13 | Nikolas Matinpalo | ![]() | D | 3 | 0 | 0 | 0 | -2 | 2 | 0 | 0 | 3 | 3 | 0 | 0.00% | 4 | 18.19 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.20 | |||
14 | Ryan Tverberg | ![]() | C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
15 | Sam Morton | ![]() | C | 3 | 0 | 0 | 0 | -2 | 4 | 0 | 4 | 0 | 0 | 1 | 0.00% | 0 | 5.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.41 | |||
16 | Hardy Häman Aktell | ![]() | D | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 2 | 0.00% | 2 | 11.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.20 | |||
17 | Will Smith | ![]() | C/LW/RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 1 | 3 | 0.00% | 0 | 8.52 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
18 | Albert Johansson | ![]() | D | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 7 | 4 | 0 | 2 | 0.00% | 9 | 25.79 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.18 | |||
Team Total or Average | 54 | 7 | 13 | 20 | 1 | 33 | 5 | 70 | 86 | 23 | 71 | 8.14% | 37 | 16.24 | 1 | 2 | 3 | 75 | 0 | 0 | 0 | 76 | 1 | 0 | 54.21% | 190 | 20 | 20 | 0 | 0 | 0.46 | 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 | Connor Ingram | ![]() | 3 | 1 | 2 | 0 | 0.902 | 3.10 | 155 | 0 | 0 | 8 | 82 | 39 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 |
2 | Jet Greaves | ![]() | 1 | 0 | 0 | 0 | 0.947 | 2.61 | 23 | 0 | 0 | 1 | 19 | 9 | 0 | 0 | 0.000 | 0 | 0 | 3 | 0 | 0 | 0 |
Team Total or Average | 4 | 1 | 2 | 0 | 0.911 | 3.02 | 179 | 0 | 0 | 9 | 101 | 48 | 0 | 0 | 0.000 | 0 | 3 | 3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Albert Johansson | D | 24 | 950,000$ | 975,000$ | 975,000$ | ||||||
Brady Stonehouse | RW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Braeden Bowman | C/LW/RW | 22 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||
Calle Clang | G | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Cam McDonald | D | 24 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Carter Mazur | LW | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Connor Ingram | G | 28 | 3,700,000$ | 3,700,000$ | 3,700,000$ | UFA | |||||
Danil Gushchin | LW | 23 | 975,000$ | 975,000$ | RFA | ||||||
Dylan Peterson | C | 23 | 867,500$ | 975,000$ | |||||||
Dylan Wendt | RW | 23 | 1,000,000$ | 1,000,000$ | |||||||
Emmitt Finnie | C | 20 | 845,000$ | 975,000$ | 975,000$ | RFA | |||||
Ethan Samson | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Gabriel Szturc | C | 21 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
Gannon Laroque | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Gleb Veremyev | C/LW/RW | 22 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||
Hardy Häman Aktell | D | 26 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Ivan Demidov | RW | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Jackson Dorrington | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 975,000$ | ||||
James Malatesta | LW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jan Jenik | C | 24 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Jared Davidson | C | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
Jet Greaves | G | 24 | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |||
Kai Uchacz | C/LW/RW | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
Kevin Korchinski | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Marc Gatcomb | C | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
Milo Roelens | C | 22 | 870,000$ | 975,000$ | 975,000$ | RFA | |||||
Nikita Tolopilo | G | 25 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Nikolas Matinpalo | D | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Oliver Kylington | D | 28 | 1,450,000$ | 1,450,000$ | 1,450,000$ | 1,450,000$ | UFA | ||||
Parker Ford | C | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Pavol Regenda | LW | 25 | 950,000$ | 975,000$ | 975,000$ | ||||||
Rodrigo Abols | C | 29 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Ryan Tverberg | C | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Sam Lipkin | LW | 22 | 851,667$ | 975,000$ | 975,000$ | RFA | |||||
Sam Morton | C | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Samuel Laberge | LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Sergei Murashov | G | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Skyler Brind'Amour | C | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Tim Washe | C | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Vadim Zherenko | G | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Viktor Neuchev | LW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Vinnie Hinostroza | C/RW | 31 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Will Smith | C/LW/RW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | 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. |
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# | 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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 5 | 1 | 1 | 0 | 36 | 34 | 27 | 25 | 0 | 32 | 13 | 8 | 21 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 31 | 64 | 48.44% | 48 | 80 | 60.00% | 24 | 46 | 52.17% | 58 | 29 | 63 | 29 | 58 | 28 | 33.3% | 2.8% | 93.8% | 96.5 | DULL |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 5 | 1 | 1 | 0 | 27 | 34 | 27 | 25 | 0 | 36 | 14 | 14 | 26 | 5 | 1 | 20.00% | 7 | 2 | 71.43% | 0 | 31 | 64 | 48.44% | 48 | 80 | 60.00% | 24 | 46 | 52.17% | 58 | 29 | 63 | 29 | 58 | 28 | 25.0% | 7.4% | 86.1% | 93.5 | Unlucky |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 5 | 1 | 1 | 0 | 23 | 34 | 27 | 25 | 0 | 33 | 10 | 11 | 23 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 31 | 64 | 48.44% | 48 | 80 | 60.00% | 24 | 46 | 52.17% | 58 | 29 | 63 | 29 | 58 | 28 | 80.0% | 17.4% | 93.9% | 111.3 | LUCKY |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 5 | 1 | 1 | 0 | 59 | 34 | 27 | 25 | 0 | 65 | 23 | 19 | 44 | 6 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 31 | 64 | 48.44% | 48 | 80 | 60.00% | 24 | 46 | 52.17% | 58 | 29 | 63 | 29 | 58 | 28 | 62.5% | 8.5% | 93.8% | 102.3 | DULL | |
_Since Last GM Reset | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 5 | 1 | 1 | 0 | 86 | 34 | 27 | 25 | 0 | 101 | 37 | 33 | 70 | 11 | 1 | 9.09% | 14 | 3 | 78.57% | 0 | 31 | 64 | 48.44% | 48 | 80 | 60.00% | 24 | 46 | 52.17% | 58 | 29 | 63 | 29 | 58 | 28 | 50.0% | 8.1% | 91.1% | 99.2 | Unlucky | |
Total | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.333 | 7 | 13 | 20 | 0 | 0 | 5 | 1 | 1 | 0 | 86 | 34 | 27 | 25 | 0 | 101 | 37 | 33 | 70 | 11 | 1 | 9.09% | 14 | 3 | 78.57% | 0 | 31 | 64 | 48.44% | 48 | 80 | 60.00% | 24 | 46 | 52.17% | 58 | 29 | 63 | 29 | 58 | 28 | 50.0% | 8.1% | 91.1% | 99.2 | Unlucky |
Puck Time | |
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Offensive Zone | 19 |
Neutral Zone | 19 |
Defensive Zone | 21 |
Puck Time | |
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Offensive Zone Start | 64 |
Neutral Zone Start | 46 |
Defensive Zone Start | 80 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 103 |
Faceoffs Lost | 87 |
Team Average Shots after | League Average Shots after | |
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1st Period | 11.3 | 9.57 |
2nd Period | 20.3 | 20.31 |
3rd Period | 28.7 | 30.68 |
Overtime | 28.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 6 |
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PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 1 | 0 |
Lost | 1 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 11 |
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PP Goal | 1 |
PK Attempt | 14 |
PK Goal Against | 3 |
Home | |
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Shots For | 28.7 |
Shots Against | 33.7 |
Goals For | 2.3 |
Goals Against | 3.0 |
Hits | 23.3 |
Shots Blocked | 12.3 |
Pim | 11.0 |
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Wed, Oct 8 | ![]() | @ | ![]() | MIN2,LOS1 | RECAP | |||||||||
Sun, Oct 12 | ![]() | @ | ![]() | LOS2,TOR5 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
4,922,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Ontario | |
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 |
4,922,500$ | 4,922,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
280,352$ | 0$ | 233,016$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 35,044$ | 5,642,084$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
5,642,084$ | 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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