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Full Scoreboard »» |
Coachella Valley Firebirds 1-1-0, 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 | 100.00 | 65 | 39 | 83 | 62 | 77 | 70 | 78 | 65 | 41 | 57 | 69 | 65 | 63 | 67 | 65 | 0 | 42 | 73 | 25 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 39 | 88 | 57 | 81 | 67 | 72 | 64 | 47 | 56 | 60 | 67 | 58 | 68 | 67 | 0 | 39 | 71 | 26 | 800,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 58 | 38 | 90 | 63 | 73 | 69 | 89 | 61 | 44 | 60 | 64 | 64 | 62 | 59 | 58 | 0 | 46 | 71 | 21 | 950,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 64 | 39 | 83 | 59 | 77 | 67 | 71 | 62 | 43 | 58 | 60 | 65 | 59 | 65 | 63 | 0 | 43 | 70 | 24 | 800,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 62 | 38 | 88 | 57 | 74 | 65 | 71 | 61 | 35 | 56 | 57 | 64 | 57 | 63 | 62 | 0 | 40 | 69 | 23 | 900,000$/3yrs | |||
![]() | 81 | C/LW/RW | 100.00 | 88 | 41 | 50 | 57 | 65 | 65 | 85 | 60 | 66 | 62 | 51 | 63 | 57 | 61 | 56 | 0 | 43 | 68 | 24 | 800,000$/2yrs | |||
![]() | 0 | C | 100.00 | 60 | 38 | 91 | 55 | 69 | 63 | 68 | 60 | 36 | 53 | 54 | 64 | 54 | 61 | 60 | 0 | 44 | 67 | 22 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 73 | 32 | 90 | 55 | 74 | 72 | 70 | 54 | 75 | 56 | 55 | 55 | 54 | 68 | 68 | 0 | 45 | 67 | 26 | 800,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 37 | 96 | 57 | 70 | 63 | 66 | 58 | 35 | 57 | 54 | 61 | 56 | 57 | 57 | 0 | 45 | 67 | 20 | 918,333$/3yrs | |||
![]() | 0 | C | 98.99 | 58 | 38 | 95 | 56 | 75 | 63 | 67 | 59 | 63 | 54 | 55 | 62 | 55 | 59 | 59 | 0 | 28 | 67 | 21 | 850,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 54 | 38 | 95 | 58 | 73 | 64 | 76 | 55 | 62 | 56 | 58 | 62 | 57 | 59 | 59 | 0 | 40 | 67 | 21 | 869,167$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 61 | 38 | 89 | 55 | 74 | 62 | 66 | 60 | 44 | 55 | 52 | 63 | 53 | 59 | 58 | 0 | 41 | 66 | 20 | 860,000$/2yrs | |||
![]() | 0 | D | 100.00 | 69 | 40 | 76 | 52 | 81 | 65 | 67 | 51 | 30 | 58 | 53 | 65 | 55 | 63 | 60 | 0 | 39 | 68 | 23 | 859,167$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 41 | 62 | 56 | 74 | 64 | 84 | 53 | 30 | 57 | 56 | 61 | 56 | 56 | 52 | 0 | 40 | 68 | 19 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 40 | 80 | 50 | 83 | 65 | 67 | 49 | 30 | 55 | 53 | 70 | 54 | 72 | 69 | 0 | 42 | 68 | 28 | 800,000$/3yrs | |||
![]() | 0 | D | 100.00 | 84 | 41 | 59 | 54 | 75 | 65 | 91 | 53 | 30 | 55 | 55 | 65 | 55 | 59 | 55 | 0 | 39 | 68 | 21 | 923,333$/3yrs | |||
![]() | 0 | D | 100.00 | 61 | 38 | 89 | 49 | 74 | 64 | 66 | 48 | 30 | 55 | 52 | 68 | 53 | 68 | 67 | 0 | 41 | 67 | 25 | 900,000$/3yrs | |||
![]() | 0 | D | 100.00 | 72 | 41 | 71 | 47 | 85 | 62 | 65 | 47 | 30 | 53 | 50 | 67 | 51 | 66 | 63 | 0 | 41 | 66 | 25 | 850,000$/3yrs | |||
![]() | 0 | D | 100.00 | 70 | 40 | 75 | 48 | 83 | 63 | 68 | 48 | 30 | 54 | 53 | 64 | 54 | 61 | 58 | 0 | 39 | 66 | 22 | 846,667$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C | 100.00 | 60 | 37 | 91 | 55 | 66 | 66 | 69 | 64 | 41 | 57 | 56 | 67 | 56 | 68 | 67 | 0 | 44 | 69 | 25 | 950,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 82 | 32 | 95 | 55 | 73 | 71 | 70 | 53 | 55 | 50 | 54 | 60 | 53 | 70 | 69 | 0 | 44 | 67 | 27 | 800,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 67 | 38 | 80 | 53 | 63 | 62 | 78 | 61 | 46 | 53 | 53 | 65 | 53 | 63 | 60 | 0 | 41 | 66 | 25 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 36 | 86 | 65 | 71 | 78 | 60 | 64 | 30 | 58 | 49 | 63 | 51 | 64 | 66 | 0 | 39 | 72 | 27 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 39 | 83 | 53 | 71 | 65 | 67 | 51 | 30 | 59 | 52 | 65 | 56 | 63 | 61 | 0 | 40 | 68 | 23 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 39 | 85 | 48 | 76 | 61 | 79 | 46 | 30 | 54 | 47 | 65 | 50 | 62 | 61 | 0 | 40 | 65 | 25 | 1,000,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 74 | 76 | 71 | 71 | 80 | 75 | 75 | 74 | 75 | 75 | 75 | 64 | 64 | 0 | 48 | 78 | 23 | 1,000,000$/2yrs |
![]() | 0 | 100.00 | 60 | 70 | 70 | 80 | 69 | 68 | 71 | 81 | 73 | 83 | 71 | 72 | 76 | 0 | 42 | 77 | 28 | 3,500,000$/3yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 74 | 72 | 71 | 82 | 67 | 75 | 74 | 74 | 75 | 75 | 74 | 62 | 62 | 0 | 40 | 77 | 24 | 800,000$/2yrs |
![]() | 0 | 100.00 | 69 | 60 | 67 | 82 | 59 | 74 | 68 | 69 | 74 | 74 | 70 | 60 | 59 | 0 | 38 | 73 | 20 | 845,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeff Blashill | 55 | 64 | 70 | 88 | 73 | 66 | 69 | USA | 50 | 5 | 500,000$ |
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 | Samuel Fagemo | LW | 2 | 1 | 2 | 3 | 3 | 0 | 0 | 2 | 8 | 3 | 4 | 12.50% | 1 | 18.37 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.63 | 0 | 0 | ||
2 | Mike Hardman | LW/RW | 2 | 1 | 1 | 2 | 1 | 0 | 0 | 6 | 10 | 0 | 5 | 10.00% | 1 | 14.13 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.42 | 0 | 0 | ||
3 | Isaac Howard | LW/RW | 2 | 1 | 1 | 2 | 3 | 0 | 0 | 3 | 9 | 3 | 4 | 11.11% | 0 | 17.80 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 | ||
4 | Adam Beckman | LW | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 7 | 4 | 4 | 10 | 0.00% | 1 | 19.78 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 5 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
5 | Coulson Pitre | C/RW | 2 | 1 | 0 | 1 | -1 | 0 | 0 | 1 | 9 | 2 | 6 | 11.11% | 0 | 16.36 | 1 | 0 | 1 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 41.18% | 51 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
6 | Otto Stenberg | C/LW/RW | 2 | 1 | 0 | 1 | 3 | 2 | 0 | 2 | 5 | 1 | 7 | 20.00% | 0 | 20.28 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 45.10% | 51 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
7 | Ondrej Becher | C | 2 | 0 | 1 | 1 | 1 | 2 | 0 | 1 | 3 | 2 | 2 | 0.00% | 0 | 6.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 20 | 0 | 0 | 0 | 0 | 1.59 | 0 | 0 | ||
8 | Tobie Bisson | D | 2 | 0 | 1 | 1 | 1 | 2 | 0 | 4 | 0 | 0 | 3 | 0.00% | 3 | 18.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
9 | Owen Allard | C/LW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 0.00% | 1 | 11.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | ||
10 | Ryan Chesley | D | 2 | 0 | 1 | 1 | 1 | 2 | 0 | 4 | 0 | 0 | 3 | 0.00% | 0 | 21.90 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
11 | Wyatte Wylie | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 1 | 1 | 3 | 0.00% | 3 | 18.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
12 | Jon-Randall Avon | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 0.00% | 0 | 11.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32.14% | 28 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
13 | Ben Meyers | C | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 11.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
14 | Xavier Bernard | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | Xavier Simoneau | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 0 | 1 | 0.00% | 0 | 13.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 71.43% | 14 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | Martin Chromiak | RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 1 | 7 | 5 | 2 | 0.00% | 1 | 13.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Maksymilian Szuber | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 0 | 0 | 0.00% | 0 | 19.98 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Ethan Samson | D | 2 | 0 | 0 | 0 | 1 | 2 | 0 | 4 | 2 | 0 | 0 | 0.00% | 2 | 18.49 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Stian Solberg | D | 2 | 0 | 0 | 0 | 1 | 4 | 0 | 6 | 1 | 0 | 2 | 0.00% | 3 | 22.16 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 38 | 5 | 9 | 14 | 15 | 14 | 0 | 59 | 74 | 24 | 55 | 6.76% | 16 | 15.54 | 1 | 2 | 3 | 47 | 0 | 0 | 0 | 38 | 1 | 0 | 40.54% | 185 | 0 | 0 | 0 | 0 | 0.47 | 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 | 2 | 1 | 1 | 0 | 0.932 | 2.52 | 119 | 0 | 0 | 5 | 73 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 0 | 0 | |
Team Total or Average | 2 | 1 | 1 | 0 | 0.932 | 2.52 | 119 | 0 | 0 | 5 | 73 | 0 | 0 | 0 | 0.000 | 0 | 2 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | LW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Aidan Dudas | LW | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
Ben Meyers | C | 26 | 800,000$ | 800,000$ | |||||||
Coulson Pitre | C/RW | 20 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
Dylan Garand | G | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Ethan Samson | D | 22 | 846,667$ | 846,667$ | RFA | ||||||
Isaac Howard | LW/RW | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Ivan Fedotov | G | 28 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | ||||
Jared McIsaac | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Jon-Randall Avon | C | 22 | 800,000$ | 800,000$ | RFA | ||||||
Maksymilian Szuber | D | 23 | 859,167$ | 859,167$ | RFA | ||||||
Martin Chromiak | RW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Mike Hardman | LW/RW | 26 | 800,000$ | 800,000$ | |||||||
Ondrej Becher | C | 21 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | RFA | ||||
Oskar Steen | C/RW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Otto Stenberg | C/LW/RW | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Owen Allard | C/LW | 21 | 869,167$ | 869,167$ | 869,167$ | 869,167$ | RFA | ||||
Ruslan Khazheyev | G | 20 | 845,000$ | 845,000$ | 845,000$ | RFA | |||||
Ryan Chesley | D | 21 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
Samuel Fagemo | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
Stian Solberg | D | 19 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Tarmo Reunanen | D | 27 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Taylor Gauthier | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
Tobie Bisson | D | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
Topi Niemela | D | 23 | 975,000$ | 975,000$ | 975,000$ | ||||||
Tyler Madden | C | 25 | 950,000$ | 950,000$ | 950,000$ | ||||||
Wyatte Wylie | D | 25 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | UFA | ||||
Xavier Bernard | D | 25 | 850,000$ | 850,000$ | 850,000$ | 850,000$ | UFA | ||||
Xavier Simoneau | C/LW/RW | 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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 1 | 2 | 0 | 40 | 28 | 17 | 29 | 0 | 41 | 9 | 8 | 31 | 2 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 27 | 81 | 33.33% | 35 | 72 | 48.61% | 13 | 32 | 40.63% | 46 | 30 | 46 | 14 | 26 | 13 | 100.0% | 5.0% | 92.7% | 97.7 | DULL | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 2 | 1 | 2 | 0 | 34 | 28 | 17 | 29 | 0 | 32 | 7 | 6 | 28 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 27 | 81 | 33.33% | 35 | 72 | 48.61% | 13 | 32 | 40.63% | 46 | 30 | 46 | 14 | 26 | 13 | 66.7% | 8.8% | 93.8% | 102.6 | DULL | |
_Vs Division | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 74 | 28 | 17 | 29 | 0 | 73 | 16 | 14 | 59 | 5 | 1 | 20.00% | 7 | 4 | 42.86% | 0 | 27 | 81 | 33.33% | 35 | 72 | 48.61% | 13 | 32 | 40.63% | 46 | 30 | 46 | 14 | 26 | 13 | 80.0% | 6.8% | 93.2% | 99.9 | DULL | |
_Vs Conference | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 74 | 28 | 17 | 29 | 0 | 73 | 16 | 14 | 59 | 5 | 1 | 20.00% | 7 | 4 | 42.86% | 0 | 27 | 81 | 33.33% | 35 | 72 | 48.61% | 13 | 32 | 40.63% | 46 | 30 | 46 | 14 | 26 | 13 | 80.0% | 6.8% | 93.2% | 99.9 | DULL | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 74 | 28 | 17 | 29 | 0 | 73 | 16 | 14 | 59 | 5 | 1 | 20.00% | 7 | 4 | 42.86% | 0 | 27 | 81 | 33.33% | 35 | 72 | 48.61% | 13 | 32 | 40.63% | 46 | 30 | 46 | 14 | 26 | 13 | 80.0% | 6.8% | 93.2% | 99.9 | DULL | |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 74 | 28 | 17 | 29 | 0 | 73 | 16 | 14 | 59 | 5 | 1 | 20.00% | 7 | 4 | 42.86% | 0 | 27 | 81 | 33.33% | 35 | 72 | 48.61% | 13 | 32 | 40.63% | 46 | 30 | 46 | 14 | 26 | 13 | 80.0% | 6.8% | 93.2% | 99.9 | DULL |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
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Offensive Zone Start | 81 |
Neutral Zone Start | 32 |
Defensive Zone Start | 72 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 75 |
Faceoffs Lost | 110 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 14.0 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 37.0 | 30.68 |
Overtime | 37.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.5 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.5 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 1 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 1 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 5 |
---|---|
PP Goal | 1 |
PK Attempt | 7 |
PK Goal Against | 4 |
Home | |
---|---|
Shots For | 37.0 |
Shots Against | 36.5 |
Goals For | 2.5 |
Goals Against | 2.5 |
Hits | 29.5 |
Shots Blocked | 8.0 |
Pim | 7.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,244,667$ | 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 | 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 |
2,244,667$ | 2,244,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
85,455$ | 12,470$ | 74,343$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 186 | 15,248$ | 2,653,152$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,653,152$ | 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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