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Full Scoreboard »» |
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Full Scoreboard »» |
Bakersfield Condors 1-0-0, 2pts · 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | RW | 98.00 | 80 | 33 | 95 | 66 | 81 | 77 | 70 | 62 | 58 | 55 | 76 | 58 | 69 | 64 | 63 | 0 | 48 | 75 | 23 | 775,000$/1yrs | |||
![]() | 20 | C/RW | 98.00 | 69 | 34 | 90 | 61 | 89 | 77 | 85 | 60 | 59 | 62 | 63 | 78 | 61 | 68 | 67 | 0 | 74 | 74 | 26 | 850,000$/1yrs | |||
![]() | 72 | RW | 100.00 | 75 | 40 | 67 | 61 | 69 | 70 | 74 | 63 | 42 | 63 | 63 | 66 | 63 | 68 | 65 | 0 | 78 | 73 | 25 | 775,000$/1yrs | |||
![]() | 91 | RW | 100.00 | 62 | 38 | 87 | 54 | 73 | 69 | 71 | 69 | 36 | 57 | 58 | 73 | 58 | 79 | 77 | 0 | 74 | 72 | 32 | 775,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 62 | 38 | 88 | 58 | 73 | 68 | 73 | 65 | 41 | 58 | 61 | 68 | 59 | 70 | 69 | 0 | 84 | 72 | 26 | 800,000$/2yrs | |||
![]() | 69 | C | 100.00 | 66 | 39 | 81 | 57 | 75 | 68 | 70 | 65 | 67 | 62 | 57 | 68 | 59 | 70 | 68 | 0 | 81 | 71 | 27 | 1,000,000$/1yrs | |||
![]() | 40 | LW | 99.00 | 63 | 38 | 86 | 57 | 66 | 68 | 69 | 65 | 35 | 61 | 56 | 68 | 58 | 70 | 68 | 0 | 67 | 71 | 27 | 850,000$/2yrs | |||
![]() | 0 | C | 100.00 | 72 | 39 | 70 | 58 | 63 | 66 | 71 | 62 | 49 | 58 | 57 | 65 | 58 | 65 | 62 | 0 | 84 | 69 | 24 | 800,000$/2yrs | |||
![]() | 0 | C | 99.00 | 66 | 39 | 80 | 53 | 68 | 63 | 78 | 61 | 70 | 51 | 55 | 65 | 53 | 63 | 61 | 0 | 85 | 67 | 25 | 850,000$/1yrs | |||
![]() | 72 | C | 100.00 | 70 | 39 | 74 | 50 | 71 | 61 | 86 | 64 | 67 | 50 | 50 | 67 | 50 | 66 | 63 | 0 | 85 | 66 | 26 | 850,000$/2yrs | |||
![]() | 15 | LW | 100.00 | 89 | 68 | 50 | 55 | 86 | 65 | 68 | 51 | 55 | 50 | 56 | 58 | 53 | 72 | 67 | 0 | 74 | 66 | 28 | 950,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 79 | 32 | 96 | 55 | 73 | 72 | 69 | 52 | 55 | 57 | 50 | 55 | 51 | 61 | 61 | 0 | 84 | 66 | 22 | 863,333$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 38 | 84 | 58 | 77 | 82 | 73 | 61 | 30 | 65 | 56 | 67 | 59 | 76 | 74 | 0 | 80 | 75 | 30 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 40 | 78 | 57 | 76 | 69 | 67 | 54 | 30 | 64 | 53 | 72 | 58 | 75 | 73 | 0 | 65 | 73 | 30 | 900,000$/1yrs | |||
![]() | 0 | D | 99.00 | 67 | 39 | 79 | 53 | 76 | 68 | 66 | 51 | 30 | 59 | 52 | 74 | 55 | 79 | 77 | 0 | 76 | 71 | 32 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 39 | 83 | 53 | 71 | 65 | 67 | 51 | 30 | 59 | 52 | 65 | 56 | 63 | 61 | 0 | 82 | 68 | 23 | 856,667$/1yrs | |||
![]() | 0 | D | 99.00 | 75 | 41 | 65 | 51 | 84 | 63 | 83 | 49 | 30 | 56 | 49 | 64 | 53 | 63 | 59 | 0 | 75 | 67 | 24 | 950,000$/1yrs | |||
![]() | 74 | D | 99.00 | 65 | 40 | 83 | 49 | 87 | 62 | 85 | 46 | 30 | 54 | 47 | 67 | 51 | 66 | 64 | 0 | 85 | 66 | 27 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 38 | C/RW | 100.00 | 64 | 40 | 85 | 55 | 86 | 71 | 72 | 70 | 41 | 60 | 59 | 74 | 60 | 81 | 79 | 0 | 58 | 74 | 32 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 62 | 39 | 87 | 54 | 79 | 63 | 68 | 62 | 68 | 53 | 54 | 66 | 54 | 64 | 63 | 0 | 23 | 67 | 24 | 878,333$/1yrs | |||
![]() | 0 | C | 100.00 | 74 | 40 | 67 | 53 | 70 | 63 | 67 | 62 | 66 | 53 | 53 | 66 | 53 | 64 | 61 | 0 | 24 | 67 | 23 | 775,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 37 | 96 | 52 | 71 | 63 | 66 | 63 | 44 | 53 | 52 | 67 | 53 | 66 | 66 | 0 | 44 | 67 | 24 | ||||
![]() | 27 | C | 100.00 | 58 | 31 | 95 | 60 | 1 | 62 | 60 | 61 | 1 | 49 | 56 | 65 | 61 | 65 | 67 | 0 | 24 | 66 | 27 | ||||
![]() | 0 | LW | 100.00 | 56 | 38 | 98 | 52 | 78 | 62 | 74 | 62 | 39 | 51 | 53 | 65 | 52 | 62 | 62 | 0 | 52 | 66 | 24 | 775,000$/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$/2yrs | |||
![]() | 0 | RW | 100.00 | 61 | 37 | 90 | 50 | 57 | 59 | 73 | 60 | 43 | 49 | 49 | 63 | 49 | 59 | 58 | 0 | 24 | 64 | 22 | ||||
![]() | 0 | RW | 100.00 | 61 | 37 | 90 | 48 | 60 | 57 | 66 | 60 | 40 | 48 | 45 | 63 | 47 | 59 | 58 | 0 | 23 | 62 | 22 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 39 | 90 | 47 | 80 | 65 | 66 | 47 | 30 | 53 | 52 | 71 | 52 | 73 | 72 | 0 | 24 | 67 | 29 | 775,000$/1yrs | |||
![]() | 43 | D | 100.00 | 69 | 33 | 91 | 55 | 83 | 77 | 67 | 50 | 30 | 50 | 58 | 58 | 54 | 69 | 68 | 0 | 24 | 67 | 27 | ||||
![]() | 0 | D | 100.00 | 63 | 38 | 86 | 49 | 70 | 63 | 66 | 48 | 30 | 54 | 52 | 66 | 53 | 64 | 63 | 0 | 24 | 66 | 23 | 800,000$/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 | 99.00 | 75 | 68 | 72 | 84 | 70 | 77 | 76 | 75 | 77 | 76 | 76 | 67 | 67 | 0 | 87 | 78 | 27 | 775,000$/1yrs |
![]() | 0 | 100.00 | 70 | 67 | 70 | 85 | 65 | 77 | 74 | 70 | 77 | 73 | 74 | 76 | 76 | 0 | 77 | 77 | 30 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 68 | 71 | 73 | 87 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 64 | 71 | 0 | 24 | 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 | Brandon Biro | LW | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 2 | 4 | 0 | 3 | 25.00% | 0 | 18.48 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 3 | 0 | 0 | 0 | 0 | 2.16 | 0 | 0 | ||
2 | Gavin Bayreuther | D | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0.00% | 1 | 20.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | ||
3 | Garrett Pilon | C | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 1 | 0 | 20.00% | 0 | 14.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 47.37% | 19 | 0 | 0 | 0 | 0 | 1.35 | 0 | 0 | ||
4 | Mike Vecchione | RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 3 | 0.00% | 0 | 13.72 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.46 | 0 | 0 | ||
5 | Trey Fix-Wolansky | RW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 4 | 2 | 1 | 0 | 0.00% | 0 | 15.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 24 | 0 | 0 | 0 | 0 | 1.27 | 0 | 0 | ||
6 | John Leonard | LW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 4 | 0 | 2 | 25.00% | 0 | 20.50 | 1 | 0 | 1 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | ||
7 | Brett Leason | C/RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 0.00% | 0 | 24.85 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | ||
8 | Topi Niemela | D | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 3 | 0 | 2 | 1 | 0.00% | 0 | 17.32 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.15 | 0 | 0 | ||
9 | Samuel Asselin | C | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 7.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Christian Wolanin | D | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 0.00% | 2 | 16.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Bokondji Imama | LW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 1 | 0 | 0 | 0.00% | 0 | 15.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Robbie Russo | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0.00% | 0 | 20.62 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Sean Day | D | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 2 | 0 | 1 | 0 | 0.00% | 3 | 21.72 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Alec Regula | D | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 0.00% | 1 | 22.57 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Brennan Othmann | LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Samuel Houde | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 0 | 1 | 0.00% | 0 | 18.92 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 65.00% | 20 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Xavier Parent | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Sam Colangelo | RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 2 | 0 | 2 | 0.00% | 0 | 23.27 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 18 | 3 | 6 | 9 | 5 | 8 | 0 | 26 | 28 | 10 | 15 | 10.71% | 7 | 16.24 | 1 | 2 | 3 | 37 | 0 | 0 | 0 | 30 | 1 | 1 | 44.32% | 88 | 0 | 0 | 0 | 0 | 0.62 | 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 | Jack LaFontaine | 1 | 1 | 0 | 0 | 0.958 | 1.00 | 60 | 0 | 0 | 1 | 24 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 | |
Team Total or Average | 1 | 1 | 0 | 0 | 0.958 | 1.00 | 60 | 0 | 0 | 1 | 24 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
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 | |||||||
Anthony Romano | C/LW/RW | 24 | 0$ | ||||||||
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 | 29 | 775,000$ | 775,000$ | UFA | ||||||
Brennan Othmann | LW | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Brett Leason | C/RW | 26 | 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 | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
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 | 30 | 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 | 27 | 0$ | UFA | |||||||
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 |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 28 | 5 | 11 | 12 | 0 | 24 | 7 | 8 | 26 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 24 | 40 | 60.00% | 10 | 37 | 27.03% | 5 | 11 | 45.45% | 23 | 15 | 22 | 8 | 13 | 7 | 66.7% | 10.7% | 95.8% | 106.5 | LUCKY | |
_Vs Division | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 28 | 5 | 11 | 12 | 0 | 24 | 7 | 8 | 26 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 24 | 40 | 60.00% | 10 | 37 | 27.03% | 5 | 11 | 45.45% | 23 | 15 | 22 | 8 | 13 | 7 | 66.7% | 10.7% | 95.8% | 106.5 | LUCKY | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 28 | 5 | 11 | 12 | 0 | 24 | 7 | 8 | 26 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 24 | 40 | 60.00% | 10 | 37 | 27.03% | 5 | 11 | 45.45% | 23 | 15 | 22 | 8 | 13 | 7 | 66.7% | 10.7% | 95.8% | 106.5 | LUCKY | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 28 | 5 | 11 | 12 | 0 | 24 | 7 | 8 | 26 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 24 | 40 | 60.00% | 10 | 37 | 27.03% | 5 | 11 | 45.45% | 23 | 15 | 22 | 8 | 13 | 7 | 66.7% | 10.7% | 95.8% | 106.5 | LUCKY | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 28 | 5 | 11 | 12 | 0 | 24 | 7 | 8 | 26 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 24 | 40 | 60.00% | 10 | 37 | 27.03% | 5 | 11 | 45.45% | 23 | 15 | 22 | 8 | 13 | 7 | 66.7% | 10.7% | 95.8% | 106.5 | LUCKY |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 40 |
Neutral Zone Start | 11 |
Defensive Zone Start | 37 |
Puck Time | |
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With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 39 |
Faceoffs Lost | 49 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 5.0 | 9.57 |
2nd Period | 16.0 | 20.31 |
3rd Period | 28.0 | 30.68 |
Overtime | 28.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 2 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 4 |
---|---|
PP Goal | 1 |
PK Attempt | 4 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 28.0 |
Shots Against | 24.0 |
Goals For | 3.0 |
Goals Against | 1.0 |
Hits | 26.0 |
Shots Blocked | 7.0 |
Pim | 8.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-02 | @ | Wranglers1,Condors3 | RECAP | |||||||||||
2025-05-04 | @ | |||||||||||||
2025-05-06 | @ | |||||||||||||
2025-05-08 | @ | |||||||||||||
2025-05-10 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-05-12 | @ | |||||||||||||
2025-05-14 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,402,333$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | 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 |
35 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,402,333$ | 2,402,333$ | 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$ | 12 | 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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