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Full Scoreboard »» |
![]() | Bakersfield Condors 2-1-1, 5pts · 5th 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 | LW | 100.00 | 69 | 45 | 74 | 69 | 73 | 74 | 71 | 68 | 46 | 65 | 63 | 65 | 67 | 60 | 50 | 1 | 50 | 65 | 27 | 1,500,000$/1yrs | |||
![]() | 0 | C/LW | 99.00 | 61 | 41 | 75 | 73 | 62 | 69 | 66 | 65 | 66 | 63 | 60 | 66 | 66 | 57 | 50 | 1 | 50 | 63 | 26 | 1,000,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 69 | 44 | 72 | 68 | 79 | 71 | 60 | 64 | 41 | 58 | 59 | 62 | 64 | 51 | 50 | 1 | 50 | 62 | 24 | 1,000,000$/1yrs | |||
![]() | 0 | C | 99.00 | 63 | 56 | 65 | 70 | 71 | 69 | 61 | 63 | 41 | 58 | 58 | 61 | 63 | 51 | 50 | 1 | 50 | 61 | 24 | 975,000$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 53 | 59 | 63 | 64 | 72 | 71 | 63 | 49 | 58 | 58 | 57 | 61 | 65 | 55 | 1 | 50 | 60 | 31 | 2,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 59 | 44 | 66 | 69 | 59 | 62 | 60 | 62 | 42 | 58 | 59 | 59 | 63 | 50 | 50 | 1 | 50 | 59 | 22 | 2,000,000$/4yrs | |||
![]() | 0 | C | 100.00 | 56 | 42 | 69 | 66 | 60 | 67 | 66 | 63 | 43 | 63 | 55 | 56 | 61 | 53 | 50 | 1 | 50 | 59 | 25 | 975,000$/2yrs | |||
![]() | 0 | C | 100.00 | 60 | 42 | 69 | 66 | 66 | 65 | 61 | 63 | 60 | 61 | 56 | 56 | 62 | 51 | 50 | 1 | 50 | 59 | 22 | 975,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 66 | 44 | 66 | 60 | 71 | 66 | 64 | 59 | 42 | 53 | 55 | 60 | 58 | 53 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 62 | 49 | 59 | 56 | 71 | 71 | 70 | 57 | 41 | 52 | 52 | 56 | 56 | 65 | 55 | 1 | 50 | 57 | 32 | 2,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 65 | 44 | 70 | 70 | 77 | 77 | 63 | 64 | 40 | 59 | 58 | 69 | 64 | 56 | 50 | 1 | 50 | 65 | 25 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 68 | 43 | 67 | 63 | 71 | 64 | 62 | 64 | 40 | 59 | 56 | 67 | 61 | 50 | 50 | 1 | 50 | 62 | 22 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 47 | 62 | 66 | 64 | 67 | 65 | 64 | 40 | 63 | 56 | 67 | 62 | 54 | 50 | 1 | 50 | 62 | 26 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 63 | 44 | 68 | 63 | 70 | 67 | 66 | 63 | 40 | 53 | 59 | 62 | 62 | 54 | 50 | 1 | 50 | 61 | 26 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 43 | 68 | 65 | 64 | 67 | 65 | 61 | 40 | 60 | 51 | 64 | 59 | 54 | 50 | 1 | 50 | 61 | 26 | 1,400,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 42 | 64 | 60 | 68 | 63 | 62 | 60 | 40 | 55 | 55 | 64 | 58 | 51 | 50 | 1 | 50 | 60 | 24 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 41 | 71 | 59 | 68 | 64 | 62 | 57 | 40 | 53 | 52 | 58 | 56 | 52 | 50 | 1 | 50 | 58 | 25 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 60 | 43 | 58 | 57 | 65 | 61 | 60 | 55 | 40 | 51 | 52 | 61 | 55 | 52 | 50 | 1 | 50 | 57 | 26 | 975,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 58 | 50 | 59 | 58 | 66 | 69 | 68 | 56 | 40 | 51 | 51 | 57 | 55 | 68 | 58 | 1 | 50 | 57 | 33 | 2,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 51 | 41 | 59 | 59 | 53 | 63 | 62 | 57 | 42 | 56 | 54 | 53 | 57 | 65 | 54 | 1 | 50 | 56 | 31 | 2,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 63 | 48 | 59 | 59 | 69 | 62 | 60 | 56 | 40 | 52 | 52 | 53 | 56 | 51 | 50 | 1 | 50 | 55 | 23 | 975,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 60 | 51 | 58 | 55 | 71 | 68 | 67 | 53 | 40 | 51 | 50 | 52 | 53 | 65 | 55 | 1 | 50 | 55 | 32 | 2,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 55 | 40 | 68 | 62 | 59 | 61 | 59 | 57 | 40 | 53 | 54 | 53 | 57 | 50 | 50 | 1 | 50 | 55 | 21 | 870,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 62 | 54 | 56 | 59 | 67 | 63 | 60 | 56 | 40 | 51 | 51 | 53 | 55 | 52 | 50 | 1 | 50 | 55 | 24 | 2,000,000$/2yrs | |||
![]() | 0 | D | 100.00 | 61 | 41 | 65 | 62 | 62 | 55 | 53 | 55 | 40 | 54 | 53 | 59 | 57 | 50 | 50 | 1 | 50 | 57 | 19 | 875,000$/2yrs | |||
![]() | 0 | D | 100.00 | 59 | 40 | 62 | 62 | 61 | 55 | 53 | 54 | 40 | 53 | 53 | 59 | 57 | 50 | 50 | 1 | 50 | 56 | 20 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 57 | 45 | 53 | 54 | 63 | 59 | 58 | 53 | 40 | 51 | 50 | 55 | 52 | 55 | 50 | 1 | 50 | 55 | 28 | 1,000,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 66 | 59 | 57 | 69 | 64 | 64 | 66 | 65 | 65 | 62 | 54 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/2yrs |
![]() | 0 | 97.00 | 67 | 59 | 58 | 66 | 63 | 60 | 59 | 56 | 62 | 62 | 56 | 52 | 50 | 1 | 50 | 56 | 25 | 975,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 59 | 57 | 57 | 66 | 59 | 57 | 56 | 54 | 57 | 58 | 54 | 51 | 50 | 1 | 50 | 53 | 23 | 1,000,000$/4yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 71 | 71 | 70 | 69 | 80 | 76 | 1 | CAN | 66 | 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 | James Hamblin | ![]() | C/LW | 4 | 3 | 3 | 6 | 4 | 0 | 0 | 7 | 15 | 2 | 10 | 20.00% | 1 | 24.70 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 49.15% | 0 | 0 | 1.50 | 0 | 1 | 1.72 | |||
2 | Mitch McLain | ![]() | C/LW/RW | 4 | 2 | 3 | 5 | 7 | 12 | 10 | 9 | 10 | 3 | 5 | 20.00% | 1 | 18.13 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 37.50% | 0 | 0 | 1.25 | 0 | 1 | 1.21 | |||
3 | Jonathan Aspirot | ![]() | D | 4 | 1 | 3 | 4 | 0 | 4 | 0 | 6 | 3 | 3 | 2 | 33.33% | 3 | 20.38 | 0 | 1 | 1 | 0 | 1 | 1 | 11 | 0 | 0 | 0.00% | 1 | 0 | 1.00 | 0 | 1 | 0.65 | |||
4 | Boris Katchouk | ![]() | LW | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 2 | 5 | 0 | 1 | 20.00% | 1 | 26.35 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 30.00% | 0 | 0 | 2.00 | 0 | 0 | 2.49 | |||
5 | Jacob Doty | ![]() | C/LW/RW | 4 | 0 | 2 | 2 | -2 | 2 | 0 | 7 | 2 | 3 | 1 | 0.00% | 4 | 17.74 | 0 | 0 | 0 | 0 | 1 | 1 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.17 | |||
6 | Andre Lee | ![]() | LW | 4 | 1 | 1 | 2 | 5 | 2 | 0 | 5 | 5 | 4 | 5 | 20.00% | 2 | 21.34 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 33.33% | 0 | 0 | 0.50 | 1 | 1 | 0.88 | |||
7 | Hunter McKown | ![]() | C | 4 | 0 | 2 | 2 | -1 | 2 | 0 | 3 | 3 | 0 | 3 | 0.00% | 2 | 15.61 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 66.67% | 0 | 0 | 0.50 | 1 | 1 | 0.25 | |||
8 | Avery Hayes | ![]() | RW | 4 | 0 | 1 | 1 | -5 | 6 | 0 | 3 | 5 | 2 | 4 | 0.00% | 1 | 17.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.25 | 0 | 1 | -0.42 | |||
9 | Emilio Pettersen | ![]() | C | 4 | 1 | 0 | 1 | 0 | 2 | 0 | 4 | 6 | 0 | 3 | 16.67% | 1 | 14.56 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 35.71% | 0 | 0 | 0.25 | 0 | 0 | 0.22 | |||
10 | Matthew Stienburg | ![]() | C | 4 | 1 | 0 | 1 | -3 | 5 | 5 | 3 | 7 | 1 | 3 | 14.29% | 2 | 19.72 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 43.90% | 0 | 0 | 0.25 | 0 | 1 | -0.16 | |||
11 | Patrick Giles | ![]() | RW | 4 | 1 | 0 | 1 | -1 | 0 | 0 | 5 | 6 | 1 | 1 | 16.67% | 2 | 14.27 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.27 | |||
12 | Aidan Fulp | ![]() | D | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 1 | 0.00% | 0 | 9.58 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.11 | |||
13 | Ville Ottavainen | ![]() | D | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 6 | 2 | 2 | 0.00% | 3 | 21.69 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | |||
14 | Dalton Smith | ![]() | C/LW/RW | 1 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 18.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.73 | |||
15 | Harrison Brunicke | ![]() | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
16 | Mikulas Hovorka | ![]() | D | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 8.81 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.09 | |||
17 | Zack Hayes | ![]() | D | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 8.38 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.10 | |||
18 | Brandon Scanlin | ![]() | D | 4 | 0 | 0 | 0 | 2 | 2 | 0 | 3 | 1 | 1 | 0 | 0.00% | 2 | 12.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.13 | |||
19 | Filip Roos | ![]() | D | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 2 | 17.55 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.17 | |||
20 | Jack St. Ivany | ![]() | D | 4 | 0 | 0 | 0 | -1 | 12 | 10 | 5 | 5 | 3 | 2 | 0.00% | 5 | 21.15 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 1 | -0.43 | |||
Team Total or Average | 71 | 11 | 16 | 27 | 6 | 51 | 25 | 68 | 80 | 26 | 44 | 13.75% | 33 | 16.55 | 1 | 1 | 2 | 49 | 1 | 2 | 3 | 98 | 2 | 1 | 46.70% | 182 | 19 | 29 | 1 | 0 | 0.46 | 2 | 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 | Cooper Black | ![]() | 2 | 1 | 0 | 1 | 0.904 | 2.40 | 125 | 0 | 0 | 5 | 52 | 32 | 1 | 0 | 0.625 | 8 | 2 | 2 | 0 | 0 | 0 |
2 | Yaniv Perets | ![]() | 2 | 1 | 1 | 0 | 0.912 | 2.44 | 123 | 0 | 0 | 5 | 57 | 38 | 0 | 0 | 0.000 | 0 | 2 | 2 | 0 | 0 | 0 |
Team Total or Average | 4 | 2 | 1 | 1 | 0.908 | 2.42 | 248 | 0 | 0 | 10 | 109 | 70 | 1 | 0 | 0.625 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Fulp | D | 25 | 975,000$ | 975,000$ | 975,000$ | ||||||
Andre Lee | LW | 24 | 1,000,000$ | 1,000,000$ | |||||||
Avery Hayes | RW | 22 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||
Boris Katchouk | LW | 27 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Brandon Scanlin | D | 26 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Cameron Butler | RW | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Cooper Black | G | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
Dalton Smith | C/LW/RW | 33 | 2,000,000$ | 2,000,000$ | UFA | ||||||
David Gust | C/LW/RW | 31 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Emilio Pettersen | C | 25 | 975,000$ | 975,000$ | 975,000$ | ||||||
Filip Roos | D | 26 | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||||
Harrison Brunicke | D | 19 | 875,000$ | 975,000$ | 975,000$ | RFA | |||||
Hunter McKown | C | 22 | 975,000$ | 975,000$ | RFA | ||||||
Isak Posch | G | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||
Jack St. Ivany | D | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Jacob Doty | C/LW/RW | 32 | 2,000,000$ | 2,000,000$ | UFA | ||||||
James Hamblin | C/LW | 26 | 1,000,000$ | 1,000,000$ | |||||||
James Stefan | RW | 21 | 870,000$ | 975,000$ | 975,000$ | RFA | |||||
Jonathan Aspirot | D | 26 | 1,500,000$ | 1,500,000$ | |||||||
Kale Kessy | LW | 32 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Mats Lindgren | D | 20 | 975,000$ | 975,000$ | RFA | ||||||
Matthew Stienburg | C | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
Mikulas Hovorka | D | 24 | 950,000$ | 975,000$ | |||||||
Mitch McLain | C/LW/RW | 31 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Navrin Mutter | LW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Nick Wolff | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Patrick Giles | RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Ville Ottavainen | D | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
Yaniv Perets | G | 25 | 975,000$ | 975,000$ | 975,000$ | ||||||
Zack Hayes | D | 26 | 975,000$ | 975,000$ |
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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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 3 | 12 | 17 | 24 | 38 | 10 | 22 | 5 | 10 | 15 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 26 | 56 | 46.43% | 31 | 66 | 46.97% | 28 | 53 | 52.83% | 73 | 29 | 82 | 42 | 92 | 46 | 0.0% | 0.0% | 90.9% | 90.9 | Unlucky |
2 | ![]() | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 1 | 5 | 4 | 3 | 57 | 17 | 24 | 38 | 10 | 71 | 24 | 31 | 38 | 4 | 1 | 25.00% | 8 | 1 | 87.50% | 1 | 26 | 56 | 46.43% | 31 | 66 | 46.97% | 28 | 53 | 52.83% | 73 | 29 | 82 | 42 | 92 | 46 | 61.5% | 15.8% | 91.5% | 107.3 | LUCKY |
3 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 2 | 4 | 0 | 0 | 1 | 5 | 4 | 3 | 12 | 17 | 24 | 38 | 10 | 16 | 4 | 10 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 26 | 56 | 46.43% | 31 | 66 | 46.97% | 28 | 53 | 52.83% | 73 | 29 | 82 | 42 | 92 | 46 | 40.0% | 16.7% | 81.3% | 97.9 | FUN |
_Vs Conference | 3 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 11 | 9 | 2 | 5 | 0.833 | 11 | 16 | 27 | 0 | 0 | 1 | 5 | 4 | 3 | 69 | 17 | 24 | 38 | 10 | 87 | 28 | 41 | 54 | 5 | 1 | 20.00% | 8 | 1 | 87.50% | 1 | 26 | 56 | 46.43% | 31 | 66 | 46.97% | 28 | 53 | 52.83% | 73 | 29 | 82 | 42 | 92 | 46 | 55.6% | 15.9% | 89.7% | 105.6 | FUN | |
_Since Last GM Reset | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 11 | 11 | 0 | 5 | 0.625 | 11 | 16 | 27 | 0 | 0 | 1 | 5 | 4 | 3 | 81 | 17 | 24 | 38 | 10 | 109 | 33 | 51 | 69 | 6 | 1 | 16.67% | 13 | 2 | 84.62% | 1 | 26 | 56 | 46.43% | 31 | 66 | 46.97% | 28 | 53 | 52.83% | 73 | 29 | 82 | 42 | 92 | 46 | 52.6% | 13.6% | 89.9% | 103.5 | FUN | |
Total | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 11 | 11 | 0 | 5 | 0.625 | 11 | 16 | 27 | 0 | 0 | 1 | 5 | 4 | 3 | 81 | 17 | 24 | 38 | 10 | 109 | 33 | 51 | 69 | 6 | 1 | 16.67% | 13 | 2 | 84.62% | 1 | 26 | 56 | 46.43% | 31 | 66 | 46.97% | 28 | 53 | 52.83% | 73 | 29 | 82 | 42 | 92 | 46 | 52.6% | 13.6% | 89.9% | 103.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 18 |
Neutral Zone | 23 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 56 |
Neutral Zone Start | 53 |
Defensive Zone Start | 66 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 85 |
Faceoffs Lost | 90 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.3 | 9.57 |
2nd Period | 10.3 | 20.31 |
3rd Period | 19.8 | 30.68 |
Overtime | 22.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 9 |
---|---|
PP Goal | 1 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 2 |
Lost | 1 | 0 |
Overtime Lost | 0 | 1 |
PP Attempt | 6 |
---|---|
PP Goal | 1 |
PK Attempt | 13 |
PK Goal Against | 2 |
Home | |
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Shots For | 20.3 |
Shots Against | 27.3 |
Goals For | 2.8 |
Goals Against | 2.8 |
Hits | 17.3 |
Shots Blocked | 8.3 |
Pim | 12.8 |
Date | Matchup | Result | Detail | |||||||||||
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Thu, Oct 9 | ![]() | @ | ![]() | EDM5,STL3 | RECAP | |||||||||
Sat, Oct 11 | ![]() | @ | ![]() | EDM2,SEA3 (SO) | RECAP | |||||||||
Sun, Oct 12 | ![]() | @ | ![]() | FLO2,EDM0 | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | EDM4,STL3 (OT) | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Mar 11 | ![]() | @ | ![]() | |||||||||||
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Sun, Mar 22 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
4,007,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Bakersfield | |
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 |
40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
4,007,500$ | 4,007,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
217,217$ | 0$ | 169,881$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 29,630$ | 4,770,430$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
4,770,430$ | 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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