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Full Scoreboard »» |
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Full Scoreboard »» |
Bakersfield Condors 39-20-9, 87pts · 2nd in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 38 | C/RW | 96.00 | 64 | 40 | 84 | 60 | 84 | 73 | 89 | 68 | 81 | 64 | 64 | 71 | 64 | 77 | 76 | 0 | 52 | 75 | 32 | 775,000$/1yrs | |||
![]() | 20 | C/RW | 100.00 | 69 | 32 | 88 | 63 | 89 | 77 | 86 | 60 | 59 | 64 | 61 | 72 | 60 | 68 | 67 | 0 | 60 | 74 | 25 | 850,000$/1yrs | |||
![]() | 91 | RW | 100.00 | 64 | 39 | 85 | 56 | 73 | 69 | 89 | 67 | 75 | 58 | 60 | 71 | 59 | 75 | 74 | 0 | 60 | 72 | 32 | 775,000$/1yrs | |||
![]() | 40 | LW | 100.00 | 62 | 37 | 87 | 60 | 66 | 69 | 83 | 62 | 49 | 63 | 60 | 65 | 62 | 67 | 65 | 0 | 53 | 71 | 27 | 850,000$/2yrs | |||
![]() | 69 | C | 100.00 | 61 | 38 | 89 | 57 | 72 | 67 | 85 | 63 | 76 | 58 | 57 | 66 | 58 | 66 | 65 | 0 | 67 | 70 | 26 | 1,000,000$/1yrs | |||
![]() | 72 | RW | 100.00 | 69 | 32 | 96 | 58 | 67 | 75 | 68 | 58 | 55 | 55 | 64 | 60 | 61 | 67 | 66 | 0 | 64 | 70 | 25 | 775,000$/1yrs | |||
![]() | 0 | RW | 98.00 | 61 | 36 | 90 | 57 | 83 | 69 | 66 | 60 | 36 | 56 | 63 | 64 | 61 | 61 | 60 | 0 | 34 | 70 | 23 | 775,000$/1yrs | |||
![]() | 0 | LW | 98.00 | 61 | 38 | 90 | 56 | 75 | 66 | 86 | 62 | 44 | 56 | 57 | 66 | 57 | 66 | 65 | 0 | 71 | 69 | 26 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 74 | 40 | 68 | 60 | 71 | 65 | 76 | 58 | 35 | 57 | 59 | 61 | 58 | 58 | 54 | 0 | 75 | 68 | 22 | 863,333$/2yrs | |||
![]() | 0 | C | 100.00 | 70 | 38 | 75 | 57 | 63 | 64 | 80 | 60 | 64 | 57 | 55 | 63 | 56 | 61 | 58 | 0 | 70 | 68 | 24 | 800,000$/2yrs | |||
![]() | 15 | LW | 99.00 | 98 | 48 | 51 | 49 | 85 | 62 | 81 | 64 | 35 | 50 | 49 | 68 | 50 | 70 | 65 | 0 | 60 | 67 | 28 | 950,000$/1yrs | |||
![]() | 0 | C | 99.00 | 66 | 39 | 80 | 53 | 68 | 63 | 78 | 61 | 70 | 51 | 55 | 65 | 53 | 63 | 61 | 0 | 71 | 67 | 25 | 850,000$/1yrs | |||
![]() | 72 | C | 100.00 | 70 | 39 | 74 | 50 | 71 | 61 | 86 | 64 | 67 | 50 | 50 | 67 | 50 | 66 | 63 | 0 | 71 | 66 | 26 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 38 | 84 | 58 | 77 | 82 | 73 | 61 | 30 | 65 | 56 | 67 | 59 | 76 | 74 | 0 | 66 | 75 | 30 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 33 | 91 | 58 | 76 | 82 | 67 | 55 | 30 | 63 | 50 | 55 | 53 | 74 | 73 | 0 | 50 | 70 | 30 | 900,000$/1yrs | |||
![]() | 0 | D | 98.00 | 65 | 39 | 82 | 51 | 74 | 65 | 90 | 48 | 30 | 56 | 49 | 72 | 53 | 75 | 73 | 0 | 62 | 68 | 32 | 775,000$/1yrs | |||
![]() | 0 | D | 98.00 | 75 | 41 | 65 | 51 | 84 | 63 | 83 | 49 | 30 | 56 | 49 | 64 | 53 | 63 | 59 | 0 | 61 | 67 | 24 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 39 | 80 | 52 | 70 | 63 | 78 | 50 | 30 | 58 | 51 | 63 | 54 | 59 | 57 | 0 | 69 | 67 | 23 | 856,667$/1yrs | |||
![]() | 74 | D | 99.00 | 65 | 40 | 83 | 49 | 87 | 62 | 85 | 46 | 30 | 54 | 47 | 67 | 51 | 66 | 64 | 0 | 71 | 66 | 27 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 27 | C | 100.00 | 58 | 31 | 95 | 60 | 1 | 62 | 60 | 61 | 1 | 49 | 56 | 65 | 61 | 65 | 67 | 0 | 20 | 66 | 26 | ||||
![]() | 0 | LW | 100.00 | 56 | 38 | 98 | 52 | 78 | 62 | 74 | 62 | 39 | 51 | 53 | 65 | 52 | 62 | 62 | 0 | 52 | 66 | 24 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 84 | 42 | 51 | 53 | 72 | 62 | 81 | 60 | 36 | 53 | 52 | 64 | 53 | 61 | 56 | 0 | 61 | 66 | 23 | 850,000$/2yrs | |||
![]() | 0 | C | 100.00 | 62 | 39 | 87 | 51 | 78 | 60 | 87 | 61 | 65 | 48 | 51 | 64 | 50 | 61 | 59 | 0 | 22 | 65 | 24 | 878,333$/1yrs | |||
![]() | 0 | C | 100.00 | 75 | 40 | 66 | 51 | 70 | 60 | 84 | 61 | 71 | 48 | 51 | 64 | 49 | 61 | 57 | 0 | 20 | 65 | 23 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 37 | 90 | 50 | 57 | 59 | 73 | 60 | 43 | 49 | 49 | 63 | 49 | 59 | 58 | 0 | 20 | 64 | 22 | ||||
![]() | 0 | RW | 100.00 | 61 | 37 | 90 | 48 | 60 | 57 | 66 | 60 | 40 | 48 | 45 | 63 | 47 | 59 | 58 | 0 | 19 | 62 | 22 | 775,000$/1yrs | |||
![]() | 43 | D | 100.00 | 69 | 33 | 91 | 55 | 83 | 77 | 67 | 50 | 30 | 50 | 58 | 58 | 54 | 69 | 68 | 0 | 20 | 67 | 27 | ||||
![]() | 0 | D | 100.00 | 63 | 39 | 85 | 44 | 80 | 61 | 74 | 44 | 30 | 48 | 48 | 69 | 48 | 69 | 68 | 0 | 20 | 63 | 28 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 39 | 78 | 46 | 71 | 59 | 68 | 44 | 30 | 51 | 45 | 64 | 48 | 61 | 58 | 0 | 20 | 63 | 23 | 800,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 75 | 68 | 72 | 84 | 70 | 77 | 76 | 75 | 77 | 76 | 76 | 67 | 67 | 0 | 80 | 78 | 27 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 94.00 | 69 | 72 | 69 | 89 | 59 | 75 | 72 | 69 | 75 | 72 | 72 | 72 | 73 | 0 | 62 | 76 | 29 | 775,000$/1yrs |
![]() | 0 | 100.00 | 68 | 71 | 73 | 87 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 64 | 71 | 0 | 20 | 74 | 26 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Marco Sturm | 64 | 74 | 70 | 70 | 68 | 63 | 69 | DEU | 46 | 4 | 500,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Trey Fix-Wolansky | RW | 56 | 14 | 35 | 49 | 17 | 8 | 0 | 61 | 172 | 29 | 104 | 8.14% | 6 | 18.98 | 5 | 5 | 10 | 136 | 0 | 1 | 1 | 85 | 2 | 0 | 44.02% | 343 | 0 | 0 | 0 | 0 | 0.92 | 1 | 2 | ||
2 | John Leonard | LW | 68 | 18 | 29 | 47 | -5 | 2 | 0 | 14 | 213 | 64 | 161 | 8.45% | 21 | 20.47 | 4 | 8 | 12 | 175 | 2 | 0 | 2 | 135 | 4 | 1 | 40.34% | 119 | 0 | 0 | 0 | 0 | 0.68 | 2 | 5 | ||
3 | Samuel Houde | C | 68 | 17 | 22 | 39 | 16 | 30 | 0 | 97 | 178 | 47 | 131 | 9.55% | 12 | 16.67 | 6 | 6 | 12 | 156 | 0 | 0 | 0 | 74 | 2 | 0 | 53.26% | 1012 | 0 | 0 | 0 | 0 | 0.69 | 1 | 4 | ||
4 | Robbie Russo | D | 58 | 6 | 29 | 35 | 2 | 16 | 0 | 70 | 53 | 30 | 50 | 11.32% | 90 | 21.24 | 3 | 2 | 5 | 119 | 0 | 1 | 1 | 128 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
5 | Brandon Biro | LW | 49 | 16 | 19 | 35 | 4 | 4 | 0 | 46 | 148 | 30 | 105 | 10.81% | 11 | 16.52 | 2 | 4 | 6 | 78 | 0 | 0 | 0 | 67 | 5 | 1 | 46.54% | 159 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | ||
6 | Timur Ibragimov | LW | 59 | 17 | 17 | 34 | 14 | 8 | 0 | 16 | 149 | 38 | 112 | 11.41% | 12 | 14.84 | 1 | 1 | 2 | 75 | 0 | 0 | 0 | 14 | 2 | 3 | 41.77% | 79 | 0 | 0 | 0 | 0 | 0.78 | 0 | 3 | ||
7 | Sam Colangelo | RW | 56 | 15 | 18 | 33 | 1 | 4 | 0 | 34 | 164 | 55 | 124 | 9.15% | 12 | 19.12 | 5 | 7 | 12 | 139 | 0 | 0 | 0 | 71 | 2 | 3 | 34.22% | 374 | 0 | 0 | 0 | 0 | 0.62 | 0 | 3 | ||
8 | Garrett Pilon | C | 66 | 10 | 22 | 32 | 0 | 0 | 0 | 17 | 189 | 50 | 124 | 5.29% | 16 | 17.15 | 0 | 5 | 5 | 54 | 0 | 0 | 0 | 60 | 3 | 1 | 54.15% | 1363 | 0 | 0 | 0 | 0 | 0.57 | 1 | 2 | ||
9 | Mike Vecchione | RW | 31 | 14 | 16 | 30 | 16 | 6 | 0 | 34 | 122 | 29 | 80 | 11.48% | 5 | 19.89 | 1 | 3 | 4 | 69 | 0 | 0 | 0 | 38 | 3 | 1 | 56.70% | 575 | 0 | 0 | 1 | 0 | 0.97 | 0 | 0 | ||
10 | Topi Niemela | D | 67 | 4 | 25 | 29 | 11 | 50 | 0 | 124 | 74 | 22 | 47 | 5.41% | 80 | 19.57 | 2 | 8 | 10 | 174 | 0 | 1 | 1 | 117 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 1 | ||
11 | Brennan Othmann | LW | 63 | 12 | 14 | 26 | 8 | 30 | 0 | 102 | 97 | 41 | 68 | 12.37% | 6 | 10.60 | 0 | 2 | 2 | 24 | 0 | 0 | 0 | 27 | 0 | 3 | 31.11% | 45 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | ||
12 | Christian Wolanin | D | 60 | 8 | 17 | 25 | 13 | 10 | 0 | 47 | 62 | 24 | 27 | 12.90% | 52 | 19.80 | 3 | 1 | 4 | 118 | 0 | 0 | 0 | 106 | 4 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 1 | ||
13 | Alec Regula | D | 68 | 2 | 23 | 25 | 4 | 66 | 0 | 185 | 50 | 24 | 34 | 4.00% | 72 | 19.89 | 2 | 5 | 7 | 131 | 0 | 0 | 0 | 104 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
14 | Sean Day | D | 68 | 6 | 14 | 20 | -5 | 36 | 0 | 88 | 55 | 13 | 45 | 10.91% | 96 | 20.63 | 2 | 5 | 7 | 180 | 0 | 0 | 0 | 157 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
15 | Samuel Asselin | C | 68 | 15 | 4 | 19 | -1 | 24 | 0 | 78 | 92 | 30 | 60 | 16.30% | 11 | 9.22 | 1 | 0 | 1 | 23 | 0 | 0 | 0 | 46 | 3 | 1 | 52.36% | 720 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
16 | Bokondji Imama | LW | 67 | 7 | 11 | 18 | -16 | 77 | 5 | 257 | 109 | 26 | 77 | 6.42% | 13 | 18.18 | 0 | 1 | 1 | 68 | 0 | 0 | 0 | 66 | 2 | 0 | 47.87% | 94 | 0 | 0 | 0 | 0 | 0.30 | 1 | 2 | ||
17 | Gavin Bayreuther | D | 45 | 2 | 12 | 14 | -1 | 34 | 0 | 79 | 47 | 14 | 33 | 4.26% | 49 | 19.52 | 0 | 0 | 0 | 42 | 0 | 2 | 2 | 54 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 1 | 1 | ||
18 | Ben McCartney | LW | 62 | 5 | 5 | 10 | 5 | 18 | 0 | 50 | 49 | 13 | 34 | 10.20% | 3 | 5.43 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 1 | 1 | 1 | 32.35% | 34 | 0 | 0 | 0 | 1 | 0.59 | 0 | 0 | ||
19 | Logan Shaw | C/RW | 16 | 1 | 7 | 8 | -7 | 4 | 0 | 25 | 39 | 14 | 41 | 2.56% | 6 | 21.24 | 0 | 2 | 2 | 34 | 0 | 0 | 0 | 9 | 0 | 0 | 60.10% | 381 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
20 | Brett Leason | C/RW | 11 | 1 | 7 | 8 | -4 | 8 | 0 | 16 | 35 | 17 | 36 | 2.86% | 3 | 19.65 | 0 | 3 | 3 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 76.92% | 13 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
21 | Mason Millman | D | 31 | 3 | 4 | 7 | 2 | 20 | 0 | 73 | 19 | 5 | 6 | 15.79% | 40 | 18.34 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
22 | Keean Washkurak | C | 34 | 3 | 4 | 7 | 0 | 6 | 0 | 47 | 36 | 12 | 19 | 8.33% | 2 | 8.76 | 1 | 0 | 1 | 41 | 0 | 0 | 0 | 26 | 0 | 0 | 46.58% | 73 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
23 | Brandon Hickey | D | 16 | 1 | 3 | 4 | 1 | 8 | 0 | 29 | 10 | 1 | 6 | 10.00% | 32 | 16.11 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
24 | Josh Lopina | C | 37 | 0 | 4 | 4 | 2 | 0 | 0 | 3 | 18 | 8 | 12 | 0.00% | 2 | 3.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 47.73% | 44 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
25 | Xavier Parent | C | 68 | 4 | 0 | 4 | -9 | 2 | 0 | 14 | 66 | 13 | 41 | 6.06% | 5 | 6.87 | 0 | 0 | 0 | 65 | 1 | 0 | 1 | 43 | 0 | 1 | 43.73% | 558 | 0 | 0 | 0 | 0 | 0.17 | 0 | 4 | ||
26 | Connor McClennon | RW | 19 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 1 | 1.15 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1311 | 201 | 361 | 562 | 67 | 471 | 5 | 1606 | 2246 | 650 | 1578 | 8.95% | 658 | 15.72 | 38 | 69 | 107 | 1968 | 3 | 5 | 8 | 1509 | 36 | 18 | 50.48% | 5986 | 0 | 0 | 1 | 1 | 0.55 | 7 | 28 |
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 | Ken Appleby | 38 | 21 | 12 | 5 | 0.920 | 2.54 | 2222 | 2 | 1 | 94 | 1175 | 0 | 2 | 1 | 0.636 | 11 | 38 | 16 | 6 | 3 | 1 | |
2 | Jack LaFontaine | 26 | 15 | 5 | 3 | 0.928 | 2.35 | 1481 | 0 | 1 | 58 | 804 | 0 | 0 | 0 | 0.667 | 3 | 23 | 43 | 2 | 2 | 1 | |
3 | Tommy Nappier | 7 | 3 | 3 | 1 | 0.921 | 2.80 | 429 | 0 | 0 | 20 | 254 | 0 | 0 | 1 | 0.692 | 13 | 7 | 9 | 0 | 1 | 0 | |
Team Total or Average | 71 | 39 | 20 | 9 | 0.923 | 2.50 | 4133 | 2 | 2 | 172 | 2233 | 0 | 2 | 2 | 0.667 | 27 | 68 | 68 | 8 | 6 | 2 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Regula | D | 24 | 950,000$ | 950,000$ | |||||||
Alexander Pashin | RW | 22 | 0$ | RFA | |||||||
Ben McCartney | LW | 23 | 850,000$ | 850,000$ | 850,000$ | ||||||
Bokondji Imama | LW | 28 | 950,000$ | 950,000$ | UFA | ||||||
Brandon Biro | LW | 27 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Brandon Hickey | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Brennan Othmann | LW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Brett Leason | C/RW | 25 | 850,000$ | 850,000$ | |||||||
Christian Wolanin | D | 30 | 900,000$ | 900,000$ | UFA | ||||||
Connor McClennon | RW | 22 | 775,000$ | 775,000$ | RFA | ||||||
Garrett Pilon | C | 26 | 1,000,000$ | 1,000,000$ | |||||||
Gavin Bayreuther | D | 30 | 900,000$ | 900,000$ | UFA | ||||||
Jack LaFontaine | G | 27 | 775,000$ | 775,000$ | UFA | ||||||
John Leonard | LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Josh Lopina | C | 24 | 878,333$ | 878,333$ | |||||||
Keean Washkurak | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Ken Appleby | G | 29 | 775,000$ | 775,000$ | UFA | ||||||
Libor Hajek | D | 27 | 0$ | UFA | |||||||
Logan Shaw | C/RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Mason Millman | D | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Mike Vecchione | RW | 32 | 775,000$ | 775,000$ | UFA | ||||||
Pascal Laberge | C | 26 | 0$ | ||||||||
Robbie Russo | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Sam Colangelo | RW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Samuel Asselin | C | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Samuel Houde | C | 25 | 850,000$ | 850,000$ | |||||||
Sean Day | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Timur Ibragimov | LW | 24 | 775,000$ | 775,000$ | |||||||
Tommy Nappier | G | 26 | 775,000$ | 775,000$ | |||||||
Topi Niemela | D | 23 | 856,667$ | 856,667$ | RFA | ||||||
Trey Fix-Wolansky | RW | 25 | 775,000$ | 775,000$ | |||||||
Xavier Parent | C | 24 | 800,000$ | 800,000$ | 800,000$ |
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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 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 9 | 16 | -7 | 2 | 0.250 | 9 | 16 | 25 | 0 | 0 | 70 | 59 | 60 | 14 | 121 | 697 | 758 | 690 | 68 | 164 | 35 | 32 | 77 | 16 | 1 | 6.25% | 14 | 2 | 85.71% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 36.4% | 7.4% | 90.2% | 97.7 | Unlucky | |
2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 70 | 59 | 60 | 14 | 34 | 697 | 758 | 690 | 68 | 43 | 7 | 4 | 24 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 0.0% | 5.9% | 93.0% | 98.9 | DULL | |
3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 70 | 59 | 60 | 14 | 22 | 697 | 758 | 690 | 68 | 42 | 11 | 9 | 29 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 37.5% | 18.2% | 88.1% | 106.3 | FUN | |
4 | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 9 | 9 | 0 | 6 | 0.750 | 9 | 15 | 24 | 0 | 0 | 70 | 59 | 60 | 14 | 134 | 697 | 758 | 690 | 68 | 133 | 35 | 30 | 81 | 14 | 2 | 14.29% | 15 | 1 | 93.33% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 46.7% | 6.7% | 93.2% | 99.9 | DULL | |
5 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 7 | 2 | 5 | 0.833 | 9 | 14 | 23 | 0 | 0 | 70 | 59 | 60 | 14 | 96 | 697 | 758 | 690 | 68 | 97 | 27 | 24 | 74 | 5 | 2 | 40.00% | 12 | 1 | 91.67% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 53.8% | 9.4% | 92.8% | 102.2 | LUCKY | |
6 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 7 | 12 | 0 | 0 | 70 | 59 | 60 | 14 | 69 | 697 | 758 | 690 | 68 | 69 | 14 | 6 | 48 | 6 | 1 | 16.67% | 2 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 44.4% | 7.2% | 92.8% | 100.0 | DULL | |
7 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 5 | 0.833 | 10 | 18 | 28 | 0 | 0 | 70 | 59 | 60 | 14 | 84 | 697 | 758 | 690 | 68 | 98 | 33 | 26 | 66 | 13 | 1 | 7.69% | 13 | 3 | 76.92% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 64.3% | 11.9% | 91.8% | 103.7 | LUCKY | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 70 | 59 | 60 | 14 | 36 | 697 | 758 | 690 | 68 | 31 | 16 | 4 | 18 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 66.7% | 11.1% | 90.3% | 101.4 | FUN | |
9 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 70 | 59 | 60 | 14 | 24 | 697 | 758 | 690 | 68 | 29 | 4 | 8 | 14 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 66.7% | 8.3% | 96.6% | 104.9 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 70 | 59 | 60 | 14 | 35 | 697 | 758 | 690 | 68 | 20 | 10 | 8 | 22 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 0.0% | 0.0% | 80.0% | 80.0 | Unlucky | |
11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 2 | 1.000 | 5 | 8 | 13 | 0 | 1 | 70 | 59 | 60 | 14 | 30 | 697 | 758 | 690 | 68 | 24 | 8 | 2 | 38 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 100.0% | 16.7% | 100.0% | 116.7 | LUCKY | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 15 | 25 | 0 | 0 | 70 | 59 | 60 | 14 | 72 | 697 | 758 | 690 | 68 | 67 | 23 | 8 | 48 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 66.7% | 13.9% | 92.5% | 106.4 | LUCKY | |
13 | 4 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 7 | 5 | 8 | 1.000 | 12 | 20 | 32 | 0 | 0 | 70 | 59 | 60 | 14 | 127 | 697 | 758 | 690 | 68 | 112 | 41 | 28 | 81 | 12 | 4 | 33.33% | 13 | 2 | 84.62% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 61.5% | 9.4% | 93.8% | 103.2 | LUCKY | |
14 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 4 | 0.500 | 11 | 19 | 30 | 0 | 0 | 70 | 59 | 60 | 14 | 107 | 697 | 758 | 690 | 68 | 151 | 47 | 28 | 85 | 11 | 0 | 0.00% | 14 | 1 | 92.86% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 47.8% | 10.3% | 91.4% | 101.7 | LUCKY | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 14 | 22 | 1 | 0 | 70 | 59 | 60 | 14 | 66 | 697 | 758 | 690 | 68 | 60 | 16 | 20 | 48 | 5 | 4 | 80.00% | 10 | 1 | 90.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 40.0% | 12.1% | 88.3% | 100.5 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 70 | 59 | 60 | 14 | 23 | 697 | 758 | 690 | 68 | 22 | 13 | 6 | 25 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 75.0% | 13.0% | 90.9% | 104.0 | FUN | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 70 | 59 | 60 | 14 | 29 | 697 | 758 | 690 | 68 | 34 | 10 | 10 | 32 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 0.0% | 3.4% | 94.1% | 97.6 | DULL | |
18 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 16 | 14 | 2 | 6 | 0.750 | 16 | 29 | 45 | 1 | 0 | 70 | 59 | 60 | 14 | 143 | 697 | 758 | 690 | 68 | 152 | 44 | 32 | 112 | 13 | 2 | 15.38% | 14 | 2 | 85.71% | 1 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 53.8% | 11.2% | 90.8% | 102.0 | FUN | |
19 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 70 | 59 | 60 | 14 | 63 | 697 | 758 | 690 | 68 | 75 | 23 | 10 | 34 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 46.2% | 9.5% | 90.7% | 100.2 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 70 | 59 | 60 | 14 | 38 | 697 | 758 | 690 | 68 | 30 | 8 | 6 | 32 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 80.0% | 13.2% | 93.3% | 106.5 | LUCKY | |
21 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 70 | 59 | 60 | 14 | 82 | 697 | 758 | 690 | 68 | 48 | 15 | 6 | 47 | 13 | 3 | 23.08% | 1 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 22.2% | 6.1% | 85.4% | 91.5 | Unlucky | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 70 | 59 | 60 | 14 | 40 | 697 | 758 | 690 | 68 | 45 | 9 | 4 | 25 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 83.3% | 12.5% | 97.8% | 110.3 | LUCKY | |
23 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 70 | 59 | 60 | 14 | 31 | 697 | 758 | 690 | 68 | 30 | 6 | 10 | 14 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 66.7% | 6.5% | 96.7% | 103.1 | DULL | |
24 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 15 | -9 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 70 | 59 | 60 | 14 | 125 | 697 | 758 | 690 | 68 | 164 | 56 | 28 | 95 | 12 | 2 | 16.67% | 14 | 3 | 78.57% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 25.0% | 4.8% | 90.9% | 95.7 | Unlucky | |
25 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 0.667 | 8 | 14 | 22 | 0 | 1 | 70 | 59 | 60 | 14 | 89 | 697 | 758 | 690 | 68 | 79 | 23 | 12 | 76 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 1 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 70.0% | 9.0% | 93.7% | 102.7 | LUCKY | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 70 | 59 | 60 | 14 | 67 | 697 | 758 | 690 | 68 | 54 | 17 | 14 | 45 | 10 | 2 | 20.00% | 4 | 1 | 75.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 42.9% | 7.5% | 90.7% | 98.2 | Unlucky | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 70 | 59 | 60 | 14 | 62 | 697 | 758 | 690 | 68 | 65 | 20 | 10 | 32 | 7 | 1 | 14.29% | 4 | 0 | 100.00% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 25.0% | 4.8% | 90.8% | 95.6 | Unlucky | |
28 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 7 | 6 | 7 | 0.875 | 13 | 25 | 38 | 0 | 0 | 70 | 59 | 60 | 14 | 113 | 697 | 758 | 690 | 68 | 135 | 41 | 24 | 71 | 10 | 2 | 20.00% | 11 | 1 | 90.91% | 1 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 64.7% | 11.5% | 94.8% | 106.3 | LUCKY | |
29 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 6 | 10 | 8 | 1.000 | 16 | 30 | 46 | 0 | 0 | 70 | 59 | 60 | 14 | 152 | 697 | 758 | 690 | 68 | 110 | 25 | 30 | 93 | 16 | 3 | 18.75% | 12 | 2 | 83.33% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 76.5% | 10.5% | 94.5% | 105.1 | LUCKY | |
30 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 70 | 59 | 60 | 14 | 71 | 697 | 758 | 690 | 68 | 52 | 18 | 14 | 48 | 6 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 71.4% | 7.0% | 90.4% | 97.4 | Unlucky | |
_Vs Division | 26 | 13 | 10 | 0 | 4 | 1 | 0 | 0 | 72 | 69 | 3 | 35 | 0.673 | 72 | 132 | 204 | 0 | 0 | 70 | 59 | 60 | 14 | 816 | 697 | 758 | 690 | 68 | 888 | 263 | 184 | 550 | 83 | 12 | 14.46% | 85 | 14 | 83.53% | 1 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 52.2% | 8.8% | 92.2% | 101.1 | DULL | |
_Vs Conference | 45 | 21 | 14 | 0 | 5 | 3 | 1 | 1 | 136 | 121 | 15 | 58 | 0.644 | 136 | 241 | 377 | 2 | 1 | 70 | 59 | 60 | 14 | 1452 | 697 | 758 | 690 | 68 | 1491 | 437 | 304 | 1009 | 146 | 26 | 17.81% | 140 | 23 | 83.57% | 3 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 52.9% | 9.4% | 91.9% | 101.3 | LUCKY | |
_Since Last GM Reset | 68 | 29 | 20 | 0 | 7 | 5 | 3 | 4 | 199 | 178 | 21 | 87 | 0.640 | 199 | 350 | 549 | 2 | 2 | 70 | 59 | 60 | 14 | 2185 | 697 | 758 | 690 | 68 | 2235 | 655 | 453 | 1534 | 221 | 38 | 17.19% | 207 | 30 | 85.51% | 3 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 52.1% | 9.1% | 92.0% | 101.1 | LUCKY | |
Total | 68 | 29 | 20 | 0 | 7 | 5 | 3 | 4 | 199 | 178 | 21 | 87 | 0.640 | 199 | 350 | 549 | 2 | 2 | 70 | 59 | 60 | 14 | 2185 | 697 | 758 | 690 | 68 | 2235 | 655 | 453 | 1534 | 221 | 38 | 17.19% | 207 | 30 | 85.51% | 3 | 1240 | 2352 | 52.72% | 1221 | 2461 | 49.61% | 552 | 1050 | 52.57% | 1605 | 1073 | 1611 | 530 | 921 | 456 | 52.1% | 9.1% | 92.0% | 101.1 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2352 |
Neutral Zone Start | 1050 |
Defensive Zone Start | 2461 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3013 |
Faceoffs Lost | 2850 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.3 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 32.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 156 |
---|---|
PP Goal | 38 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 20 | 19 |
Lost | 9 | 11 |
Overtime Lost | 4 | 5 |
PP Attempt | 221 |
---|---|
PP Goal | 38 |
PK Attempt | 207 |
PK Goal Against | 30 |
Home | |
---|---|
Shots For | 32.1 |
Shots Against | 32.9 |
Goals For | 2.9 |
Goals Against | 2.6 |
Hits | 22.6 |
Shots Blocked | 9.6 |
Pim | 6.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-07 | @ | Senators2,Condors3 | RECAP | |||||||||||
2024-10-10 | @ | Condors4,Silver Knights2 | RECAP | |||||||||||
2024-10-11 | @ | Condors1,Wranglers2 | RECAP | |||||||||||
2024-10-14 | @ | Senators4,Condors3 (SO) | RECAP | |||||||||||
2024-10-16 | @ | Gulls4,Condors1 | RECAP | |||||||||||
2024-10-21 | @ | Wranglers5,Condors1 | RECAP | |||||||||||
2024-10-24 | @ | Condors2,Roadrunners4 | RECAP | |||||||||||
2024-10-27 | @ | Silver Knights1,Condors4 | RECAP | |||||||||||
2024-10-29 | @ | Condors3,Islanders2 (SO) | RECAP | |||||||||||
2024-10-31 | @ | Condors4,Eagles2 | RECAP | |||||||||||
2024-11-01 | @ | Reign5,Condors1 | RECAP | |||||||||||
2024-11-03 | @ | Bruins3,Condors4 (OT) | RECAP | |||||||||||
2024-11-07 | @ | Condors6,Reign3 | RECAP | |||||||||||
2024-11-08 | @ | Admirals2,Condors5 | RECAP | |||||||||||
2024-11-12 | @ | Condors3,Islanders4 (SO) | RECAP | |||||||||||
2024-11-13 | @ | Senators2,Condors1 (OT) | RECAP | |||||||||||
2024-11-15 | @ | Condors3,Roadrunners2 (OT) | RECAP | |||||||||||
2024-11-16 | @ | Condors2,Phantoms3 (SO) | RECAP | |||||||||||
2024-11-17 | @ | Marlies1,Condors3 | RECAP | |||||||||||
2024-11-21 | @ | Condors4,Eagles3 | RECAP | |||||||||||
2024-11-23 | @ | Thunderbirds2,Condors1 | RECAP | |||||||||||
2024-11-24 | @ | Condors2,Reign1 | RECAP | |||||||||||
2024-11-26 | @ | Gulls3,Condors0 | RECAP | |||||||||||
2024-11-28 | @ | Condors5,Bears0 | RECAP | |||||||||||
2024-12-01 | @ | Bruins4,Condors2 | RECAP | |||||||||||
2024-12-05 | @ | Americans2,Condors5 | RECAP | |||||||||||
2024-12-07 | @ | Condors2,Gulls4 | RECAP | |||||||||||
2024-12-12 | @ | Wranglers6,Condors3 | RECAP | |||||||||||
2024-12-14 | @ | Condors3,Gulls4 | RECAP | |||||||||||
2024-12-17 | @ | Condors5,Barracuda1 | RECAP | |||||||||||
2024-12-20 | @ | Crunch2,Condors3 | RECAP | |||||||||||
2024-12-23 | @ | Condors3,Admirals5 | RECAP | |||||||||||
2024-12-25 | @ | Wild2,Condors5 | RECAP | |||||||||||
2024-12-27 | @ | Condors2,Canucks1 | RECAP | |||||||||||
2024-12-28 | @ | Condors2,Penguins3 | RECAP | |||||||||||
2024-12-31 | @ | Canucks2,Condors3 (OT) | RECAP | |||||||||||
2025-01-02 | @ | Condors1,Stars3 | RECAP | |||||||||||
2025-01-04 | @ | Canucks3,Condors4 (OT) | RECAP | |||||||||||
2025-01-07 | @ | Condors1,Barracuda2 (OT) | RECAP | |||||||||||
2025-01-08 | @ | Monsters1,Condors5 | RECAP | |||||||||||
2025-01-12 | @ | Condors5,Silver Knights1 | RECAP | |||||||||||
2025-01-13 | @ | Condors2,Wolves3 (OT) | RECAP | |||||||||||
2025-01-16 | @ | Stars0,Condors4 | RECAP | |||||||||||
2025-01-18 | @ | Condors4,Wolf Pack3 (SO) | RECAP | |||||||||||
2025-01-22 | @ | Islanders1,Condors3 | RECAP | |||||||||||
2025-01-24 | @ | Condors1,Firebirds2 | RECAP | |||||||||||
2025-01-25 | @ | Senators1,Condors2 | RECAP | |||||||||||
2025-01-27 | @ | Condors4,Comets5 (OT) | RECAP | |||||||||||
2025-01-29 | @ | Roadrunners4,Condors6 | RECAP | |||||||||||
2025-02-01 | @ | Condors5,Wild3 | RECAP | |||||||||||
2025-02-02 | @ | Condors4,Wranglers3 (OT) | RECAP | |||||||||||
2025-02-04 | @ | Firebirds3,Condors4 | RECAP | |||||||||||
2025-02-07 | @ | Condors2,Griffins1 (OT) | RECAP | |||||||||||
2025-02-09 | @ | Barracuda2,Condors4 | RECAP | |||||||||||
2025-02-12 | @ | Condors3,Wolves2 (SO) | RECAP | |||||||||||
2025-02-14 | @ | Reign4,Condors2 | RECAP | |||||||||||
2025-02-15 | @ | Condors0,Rocket4 | RECAP | |||||||||||
2025-02-18 | @ | Condors3,Canucks1 | RECAP | |||||||||||
2025-02-19 | @ | IceHogs4,Condors3 (SO) | RECAP | |||||||||||
2025-02-24 | @ | Silver Knights2,Condors3 | RECAP | |||||||||||
2025-02-26 | @ | Condors2,IceHogs3 | RECAP | |||||||||||
2025-02-28 | @ | Penguins3,Condors1 | RECAP | |||||||||||
2025-03-03 | @ | Roadrunners4,Condors5 | RECAP | |||||||||||
2025-03-05 | @ | Condors2,Moose1 (OT) | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-09 | @ | Barracuda2,Condors3 | RECAP | |||||||||||
2025-03-14 | @ | Eagles3,Condors2 (OT) | RECAP | |||||||||||
2025-03-16 | @ | Condors2,Marlies4 | RECAP | |||||||||||
2025-03-17 | @ | Condors3,Stars2 | RECAP | |||||||||||
2025-03-21 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
2025-03-31 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,324,833$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Bakersfield | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
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 |
3 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,324,833$ | 2,324,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,314,149$ | 12,774$ | 1,863,598$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 32 | 15,521$ | 279,378$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
279,378$ | 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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