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Full Scoreboard »» |
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Full Scoreboard »» |
Coachella Valley Firebirds 1-0-0, 2pts · 8th 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 | LW | 98.00 | 65 | 39 | 83 | 62 | 77 | 70 | 78 | 65 | 41 | 57 | 69 | 65 | 63 | 67 | 65 | 0 | 55 | 73 | 25 | 1,000,000$/1yrs | |||
![]() | 42 | C | 100.00 | 66 | 39 | 82 | 56 | 70 | 68 | 72 | 66 | 68 | 57 | 59 | 69 | 58 | 72 | 70 | 0 | 32 | 71 | 28 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 99.00 | 62 | 39 | 88 | 57 | 81 | 67 | 72 | 64 | 47 | 56 | 60 | 67 | 58 | 68 | 67 | 0 | 48 | 71 | 26 | 800,000$/2yrs | |||
![]() | 23 | C/LW | 99.00 | 78 | 34 | 90 | 56 | 87 | 74 | 71 | 55 | 80 | 57 | 57 | 66 | 56 | 77 | 76 | 0 | 53 | 70 | 31 | 775,000$/1yrs | |||
![]() | 0 | LW/RW | 98.00 | 84 | 33 | 95 | 55 | 80 | 72 | 70 | 55 | 57 | 57 | 54 | 62 | 55 | 81 | 80 | 0 | 53 | 70 | 33 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 38 | 94 | 56 | 71 | 66 | 84 | 63 | 68 | 60 | 53 | 66 | 57 | 66 | 66 | 0 | 44 | 69 | 27 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 37 | 91 | 55 | 66 | 66 | 69 | 64 | 41 | 57 | 56 | 67 | 56 | 68 | 67 | 0 | 50 | 69 | 25 | 925,000$/1yrs | |||
![]() | 0 | RW | 99.00 | 67 | 40 | 80 | 50 | 83 | 65 | 67 | 68 | 43 | 52 | 53 | 72 | 53 | 75 | 73 | 0 | 58 | 69 | 30 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 62 | 38 | 88 | 57 | 74 | 65 | 71 | 61 | 35 | 56 | 57 | 64 | 57 | 63 | 62 | 0 | 41 | 69 | 22 | 820,000$/1yrs | |||
![]() | 76 | C | 98.00 | 77 | 42 | 63 | 52 | 86 | 63 | 83 | 64 | 75 | 54 | 51 | 68 | 53 | 68 | 64 | 0 | 61 | 68 | 27 | 775,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 60 | 38 | 90 | 54 | 73 | 65 | 76 | 64 | 49 | 54 | 55 | 67 | 55 | 68 | 67 | 0 | 50 | 68 | 28 | 775,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 82 | 32 | 95 | 55 | 73 | 71 | 70 | 53 | 55 | 50 | 54 | 60 | 53 | 70 | 69 | 0 | 29 | 67 | 27 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 73 | 32 | 90 | 55 | 74 | 72 | 70 | 54 | 75 | 56 | 55 | 55 | 54 | 68 | 68 | 0 | 51 | 67 | 26 | 800,000$/2yrs | |||
![]() | 0 | D | 98.00 | 64 | 32 | 87 | 57 | 73 | 80 | 80 | 54 | 30 | 65 | 54 | 52 | 54 | 66 | 64 | 0 | 53 | 71 | 24 | 1,250,000$/1yrs | |||
![]() | 0 | D | 97.67 | 72 | 32 | 85 | 55 | 72 | 78 | 80 | 54 | 30 | 63 | 50 | 58 | 52 | 70 | 68 | 0 | 20 | 70 | 26 | 900,000$/1yrs | |||
![]() | 4 | D | 98.00 | 67 | 40 | 80 | 50 | 80 | 66 | 67 | 49 | 30 | 56 | 53 | 72 | 54 | 75 | 73 | 0 | 27 | 69 | 29 | 775,000$/1yrs | |||
![]() | 0 | D | 99.00 | 69 | 40 | 76 | 52 | 81 | 65 | 67 | 51 | 30 | 58 | 53 | 65 | 55 | 63 | 60 | 0 | 61 | 68 | 22 | 859,167$/2yrs | |||
![]() | 0 | D | 100.00 | 86 | 41 | 62 | 56 | 74 | 64 | 84 | 53 | 30 | 57 | 56 | 61 | 56 | 56 | 52 | 0 | 45 | 68 | 19 | 975,000$/3yrs | |||
![]() | 0 | D | 100.00 | 97 | 46 | 50 | 47 | 92 | 64 | 66 | 46 | 30 | 51 | 52 | 72 | 52 | 75 | 70 | 0 | 58 | 67 | 30 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 64 | 38 | 84 | 59 | 69 | 69 | 78 | 63 | 74 | 59 | 62 | 67 | 60 | 68 | 67 | 0 | 24 | 71 | 27 | ||||
![]() | 0 | LW | 100.00 | 64 | 39 | 83 | 59 | 77 | 67 | 71 | 62 | 43 | 58 | 60 | 65 | 59 | 65 | 63 | 0 | 24 | 70 | 23 | 900,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 63 | 39 | 85 | 50 | 80 | 62 | 76 | 65 | 40 | 49 | 52 | 68 | 51 | 68 | 66 | 0 | 24 | 67 | 28 | ||||
![]() | 82 | C | 100.00 | 69 | 40 | 76 | 51 | 78 | 62 | 77 | 63 | 73 | 54 | 50 | 67 | 52 | 66 | 64 | 0 | 63 | 67 | 26 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 38 | 91 | 55 | 69 | 63 | 68 | 60 | 36 | 53 | 54 | 64 | 54 | 61 | 60 | 0 | 23 | 67 | 21 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 58 | 38 | 95 | 56 | 75 | 63 | 67 | 59 | 63 | 54 | 55 | 62 | 55 | 59 | 59 | 0 | 44 | 67 | 21 | ||||
![]() | 0 | C/LW | 100.00 | 67 | 40 | 80 | 48 | 79 | 61 | 74 | 65 | 68 | 48 | 49 | 68 | 49 | 68 | 66 | 0 | 23 | 66 | 27 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 38 | 80 | 53 | 63 | 62 | 78 | 61 | 46 | 53 | 53 | 65 | 53 | 63 | 60 | 0 | 24 | 66 | 24 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 64 | 36 | 86 | 65 | 71 | 78 | 60 | 64 | 30 | 58 | 49 | 63 | 51 | 64 | 66 | 0 | 24 | 72 | 27 | ||||
![]() | 0 | D | 100.00 | 61 | 38 | 89 | 49 | 74 | 64 | 66 | 48 | 30 | 55 | 52 | 68 | 53 | 68 | 67 | 0 | 49 | 67 | 25 | 825,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 41 | 71 | 47 | 85 | 62 | 65 | 47 | 30 | 53 | 50 | 67 | 51 | 66 | 63 | 0 | 45 | 66 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 40 | 75 | 48 | 83 | 63 | 68 | 48 | 30 | 54 | 53 | 64 | 54 | 61 | 58 | 0 | 24 | 66 | 21 | 846,667$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 39 | 85 | 48 | 76 | 61 | 79 | 46 | 30 | 54 | 47 | 65 | 50 | 62 | 61 | 0 | 24 | 65 | 25 | 850,000$/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 | 97.00 | 74 | 76 | 71 | 71 | 80 | 75 | 75 | 74 | 75 | 75 | 75 | 64 | 64 | 0 | 31 | 78 | 22 | 828,333$/1yrs |
![]() | 0 | 100.00 | 74 | 72 | 71 | 82 | 67 | 75 | 74 | 74 | 75 | 75 | 74 | 62 | 62 | 0 | 78 | 77 | 24 | 859,167$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 70 | 70 | 80 | 69 | 68 | 71 | 81 | 73 | 83 | 71 | 72 | 76 | 0 | 34 | 77 | 28 | 3,500,000$/4yrs |
![]() | 0 | 100.00 | 69 | 60 | 67 | 82 | 59 | 74 | 68 | 69 | 74 | 74 | 70 | 60 | 59 | 0 | 44 | 73 | 20 | |
![]() | 0 | 100.00 | 60 | 61 | 65 | 75 | 60 | 62 | 60 | 60 | 60 | 58 | 60 | 65 | 68 | 0 | 24 | 67 | 27 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dan Bylsma | 78 | 80 | 74 | 74 | 76 | 86 | 80 | USA | 53 | 1 | 1,000,000$ |
General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Hudson Elynuik | C | 1 | 0 | 2 | 2 | 1 | 2 | 0 | 2 | 4 | 1 | 3 | 0.00% | 1 | 23.97 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 61.54% | 39 | 0 | 0 | 0 | 0 | 1.67 | 0 | 0 | ||
2 | Colin Theisen | LW | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 2 | 0 | 1 | 50.00% | 0 | 20.82 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 44.44% | 9 | 0 | 0 | 0 | 0 | 1.92 | 0 | 0 | ||
3 | Brendan Gaunce | C/LW | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 1 | 0.00% | 1 | 22.27 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.90 | 0 | 0 | ||
4 | Jimmy Schuldt | D | 1 | 0 | 1 | 1 | 1 | 4 | 0 | 0 | 3 | 0 | 1 | 0.00% | 0 | 24.15 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | ||
5 | Cameron Hebig | C | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 100.00% | 0 | 4.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 80.00% | 5 | 0 | 0 | 0 | 0 | 4.71 | 0 | 0 | ||
6 | Ben Meyers | C | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 0.00% | 0 | 16.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 | ||
7 | Drew Callin | RW | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 7 | 1 | 5 | 14.29% | 1 | 19.43 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 | ||
8 | Oskar Steen | C/RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
9 | Josh Mahura | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 2 | 22.63 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
10 | Mason Geertsen | D | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 0 | 1 | 0 | 0.00% | 2 | 16.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
11 | Tyler Pitlick | LW/RW | 1 | 0 | 0 | 0 | -1 | 2 | 0 | 3 | 2 | 2 | 3 | 0.00% | 0 | 26.68 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Samuel Fagemo | LW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 7 | 4 | 4 | 0.00% | 0 | 22.82 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 34.62% | 26 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Peter Abbandonato | 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 | ||
14 | Mike Hardman | LW/RW | 1 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 2 | 0 | 2 | 0.00% | 1 | 18.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Tyler Madden | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0.00% | 0 | 13.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31.25% | 16 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Nils Lundkvist | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 1 | 27.82 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Martin Chromiak | RW | 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 | Maksymilian Szuber | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0.00% | 4 | 22.30 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Stian Solberg | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0.00% | 1 | 17.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 19 | 3 | 6 | 9 | 5 | 10 | 0 | 22 | 35 | 12 | 27 | 8.57% | 14 | 16.88 | 1 | 2 | 3 | 29 | 0 | 0 | 0 | 38 | 1 | 1 | 48.08% | 104 | 0 | 0 | 0 | 0 | 0.56 | 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 | Dylan Garand | 1 | 1 | 0 | 0 | 0.950 | 1.85 | 65 | 0 | 0 | 2 | 40 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 | |
Team Total or Average | 1 | 1 | 0 | 0 | 0.950 | 1.85 | 65 | 0 | 0 | 2 | 40 | 0 | 0 | 0 | 0.000 | 0 | 1 | 0 | 1 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | LW | 23 | 900,000$ | 900,000$ | RFA | ||||||
Aidan Dudas | LW | 24 | 800,000$ | 800,000$ | |||||||
Ben Meyers | C | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Brendan Gaunce | C/LW | 31 | 775,000$ | 775,000$ | UFA | ||||||
Cameron Hebig | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Colin Theisen | LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Drew Callin | RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Dylan Garand | G | 22 | 828,333$ | 828,333$ | RFA | ||||||
Ethan Samson | D | 21 | 846,667$ | 846,667$ | 846,667$ | RFA | |||||
Hudson Elynuik | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Ivan Fedotov | G | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||
Jared McIsaac | D | 25 | 850,000$ | 850,000$ | |||||||
Jimmy Schuldt | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Jon-Randall Avon | C | 21 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Josef Korenar | G | 27 | 0$ | UFA | |||||||
Josh Mahura | D | 26 | 900,000$ | 900,000$ | |||||||
Maksymilian Szuber | D | 22 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Martin Chromiak | RW | 22 | 820,000$ | 820,000$ | RFA | ||||||
Mason Geertsen | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Matt Filipe | C/LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Mike Hardman | LW/RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Nils Lundkvist | D | 24 | 1,250,000$ | 1,250,000$ | |||||||
Ondrej Becher | C | 21 | 0$ | RFA | |||||||
Oskar Steen | C/RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Patrick Khodorenko | C | 26 | 775,000$ | 775,000$ | |||||||
Peter Abbandonato | C | 27 | 775,000$ | 775,000$ | UFA | ||||||
Ruslan Khazheyev | G | 20 | 0$ | RFA | |||||||
Samuel Fagemo | LW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Simon Ryfors | C | 27 | 0$ | UFA | |||||||
Stian Solberg | D | 19 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Tarmo Reunanen | D | 27 | 0$ | UFA | |||||||
Taylor Gauthier | G | 24 | 859,167$ | 859,167$ | |||||||
Tyler Madden | C | 25 | 925,000$ | 925,000$ | |||||||
Tyler Pitlick | LW/RW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Wyatte Wylie | D | 25 | 825,000$ | 825,000$ | |||||||
Xavier Bernard | D | 24 | 775,000$ | 775,000$ | |||||||
Zach Senyshyn | RW | 28 | 0$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 35 | 13 | 7 | 9 | 6 | 40 | 14 | 10 | 22 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 17 | 41 | 41.46% | 26 | 44 | 59.09% | 7 | 19 | 36.84% | 23 | 14 | 28 | 9 | 14 | 6 | 66.7% | 8.6% | 95.0% | 103.6 | DULL | |
_Vs Conference | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 35 | 13 | 7 | 9 | 6 | 40 | 14 | 10 | 22 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 17 | 41 | 41.46% | 26 | 44 | 59.09% | 7 | 19 | 36.84% | 23 | 14 | 28 | 9 | 14 | 6 | 66.7% | 8.6% | 95.0% | 103.6 | DULL | |
_Since Last GM Reset | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 35 | 13 | 7 | 9 | 6 | 40 | 14 | 10 | 22 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 17 | 41 | 41.46% | 26 | 44 | 59.09% | 7 | 19 | 36.84% | 23 | 14 | 28 | 9 | 14 | 6 | 66.7% | 8.6% | 95.0% | 103.6 | DULL | |
Total | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 35 | 13 | 7 | 9 | 6 | 40 | 14 | 10 | 22 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 17 | 41 | 41.46% | 26 | 44 | 59.09% | 7 | 19 | 36.84% | 23 | 14 | 28 | 9 | 14 | 6 | 66.7% | 8.6% | 95.0% | 103.6 | DULL |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 14 |
Defensive Zone | 28 |
Puck Time | |
---|---|
Offensive Zone Start | 41 |
Neutral Zone Start | 19 |
Defensive Zone Start | 44 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 35 |
Faceoffs | |
---|---|
Faceoffs Won | 50 |
Faceoffs Lost | 54 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.0 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 29.0 | 30.68 |
Overtime | 35.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.0 | 1.65 |
3rd Period | 2.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 2 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 3 |
---|---|
PP Goal | 1 |
PK Attempt | 5 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 35.0 |
Shots Against | 40.0 |
Goals For | 3.0 |
Goals Against | 2.0 |
Hits | 22.0 |
Shots Blocked | 14.0 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2025-05-02 | @ | Firebirds3,Gulls2 (OT) | 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 |
2,778,834$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Coachella Valley | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
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 |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,778,834$ | 2,778,834$ | 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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