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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 58 | 58 | 62 | 66 | 57 | 66 | 64 | 65 | 55 | 63 | 65 | 61 | 56 | 63 | 58 | 0 | 50 | 66 | 27 | 750,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 68 | 48 | 76 | 62 | 71 | 59 | 63 | 58 | 58 | 64 | 60 | 67 | 54 | 58 | 56 | 0 | 50 | 65 | 25 | 750,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 52 | 75 | 59 | 62 | 63 | 62 | 61 | 68 | 63 | 59 | 63 | 54 | 70 | 62 | 0 | 50 | 64 | 33 | 750,000$/2yrs | |||
![]() | 41 | C | 100.00 | 69 | 38 | 89 | 55 | 53 | 62 | 66 | 57 | 65 | 64 | 59 | 65 | 57 | 67 | 64 | 0 | 50 | 64 | 34 | 750,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 55 | 60 | 66 | 62 | 59 | 67 | 65 | 60 | 55 | 58 | 61 | 61 | 59 | 60 | 56 | 0 | 50 | 63 | 25 | 858,333$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 55 | 65 | 60 | 72 | 63 | 61 | 57 | 69 | 59 | 56 | 63 | 54 | 74 | 64 | 0 | 50 | 63 | 34 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 63 | 75 | 59 | 68 | 65 | 60 | 56 | 40 | 64 | 56 | 74 | 54 | 59 | 58 | 0 | 50 | 65 | 27 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 55 | 54 | 66 | 60 | 58 | 66 | 64 | 59 | 40 | 59 | 56 | 61 | 54 | 62 | 57 | 0 | 50 | 62 | 26 | 750,000$/3yrs | |||
![]() | 0 | D | 100.00 | 55 | 54 | 67 | 59 | 63 | 65 | 63 | 56 | 40 | 56 | 55 | 63 | 54 | 63 | 58 | 0 | 50 | 62 | 27 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW/RW | 100.00 | 58 | 54 | 72 | 62 | 64 | 67 | 68 | 63 | 54 | 64 | 61 | 64 | 58 | 62 | 58 | 0 | 50 | 66 | 27 | 750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 55 | 57 | 65 | 60 | 74 | 67 | 65 | 61 | 55 | 58 | 61 | 60 | 54 | 60 | 56 | 0 | 50 | 64 | 25 | 762,500$/2yrs | |||
![]() | 0 | RW | 100.00 | 56 | 57 | 69 | 59 | 60 | 62 | 61 | 60 | 54 | 61 | 60 | 64 | 55 | 65 | 59 | 0 | 50 | 63 | 29 | 750,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 55 | 56 | 64 | 60 | 67 | 66 | 65 | 58 | 55 | 56 | 59 | 62 | 54 | 51 | 51 | 0 | 50 | 62 | 20 | 894,167$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 57 | 53 | 68 | 59 | 68 | 64 | 62 | 57 | 55 | 57 | 57 | 59 | 54 | 58 | 55 | 0 | 50 | 62 | 24 | 800,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 52 | 55 | 65 | 57 | 58 | 64 | 61 | 58 | 52 | 55 | 59 | 58 | 51 | 51 | 49 | 0 | 50 | 60 | 21 | 854,167$/2yrs | |||
![]() | 0 | C | 100.00 | 52 | 52 | 62 | 54 | 53 | 62 | 60 | 53 | 67 | 52 | 53 | 57 | 51 | 51 | 49 | 0 | 50 | 57 | 20 | 850,000$/2yrs | |||
![]() | 0 | D | 99.08 | 61 | 47 | 77 | 65 | 69 | 70 | 69 | 56 | 40 | 62 | 56 | 71 | 54 | 83 | 67 | 0 | 50 | 67 | 37 | 1,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 54 | 65 | 59 | 64 | 67 | 65 | 56 | 40 | 56 | 55 | 59 | 54 | 77 | 66 | 0 | 50 | 62 | 35 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 56 | 65 | 57 | 66 | 62 | 61 | 57 | 40 | 56 | 56 | 62 | 54 | 65 | 59 | 0 | 50 | 62 | 28 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 54 | 64 | 58 | 67 | 67 | 65 | 57 | 40 | 57 | 54 | 63 | 54 | 74 | 64 | 0 | 50 | 62 | 33 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 54 | 50 | 60 | 56 | 69 | 63 | 59 | 55 | 38 | 56 | 55 | 58 | 51 | 49 | 49 | 0 | 50 | 60 | 20 | 1,744,167$/3yrs | |||
![]() | 0 | D | 100.00 | 55 | 54 | 67 | 55 | 60 | 60 | 59 | 55 | 40 | 55 | 54 | 61 | 54 | 56 | 54 | 0 | 50 | 59 | 23 | 871,667$/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 | 69 | 64 | 66 | 75 | 78 | 69 | 78 | 66 | 77 | 68 | 82 | 58 | 56 | 0 | 50 | 72 | 28 | 1,800,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 57 | 61 | 61 | 76 | 70 | 67 | 69 | 61 | 69 | 64 | 59 | 70 | 61 | 0 | 50 | 67 | 33 | 750,000$/1yrs |
![]() | 0 | 100.00 | 57 | 60 | 60 | 72 | 65 | 55 | 65 | 60 | 59 | 58 | 59 | 62 | 56 | 0 | 50 | 62 | 26 | 750,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Wayne Gretzky | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 62 | 5 | 0$ |
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 | Justin Dowling | ![]() | C/RW | 24 | 8 | 14 | 22 | 5 | 10 | 0 | 29 | 76 | 22 | 53 | 10.53% | 5 | 17.82 | 2 | 4 | 6 | 1 | 1 | 2 | 20 | 1 | 0 | 50.00% | 0 | 0 | 0.92 | 0 | 0 | 0.94 | |||
2 | Michael Carcone | ![]() | C/LW | 24 | 10 | 12 | 22 | 1 | 16 | 0 | 42 | 70 | 27 | 68 | 14.29% | 9 | 20.80 | 1 | 4 | 5 | 1 | 0 | 1 | 75 | 1 | 0 | 46.23% | 0 | 0 | 0.92 | 2 | 3 | 0.83 | |||
3 | Matthew Highmore | ![]() | C/LW/RW | 24 | 9 | 12 | 21 | 5 | 6 | 0 | 29 | 99 | 23 | 66 | 9.09% | 7 | 19.82 | 4 | 4 | 8 | 0 | 0 | 0 | 58 | 3 | 1 | 46.77% | 0 | 0 | 0.88 | 0 | 3 | 1.03 | |||
4 | Mark Friedman | ![]() | D | 24 | 3 | 18 | 21 | 6 | 23 | 5 | 58 | 39 | 18 | 27 | 7.69% | 42 | 23.14 | 1 | 4 | 5 | 0 | 1 | 1 | 75 | 0 | 1 | 0.00% | 0 | 0 | 0.88 | 0 | 0 | 0.78 | |||
5 | Drew O'Connor | ![]() | LW | 24 | 7 | 9 | 16 | 2 | 16 | 0 | 58 | 77 | 15 | 54 | 9.09% | 10 | 20.24 | 4 | 3 | 7 | 0 | 0 | 0 | 71 | 0 | 0 | 49.03% | 0 | 0 | 0.67 | 0 | 2 | 0.70 | |||
6 | Brett Murray | ![]() | C/LW | 24 | 4 | 12 | 16 | 4 | 23 | 5 | 37 | 48 | 30 | 44 | 8.33% | 3 | 18.47 | 2 | 4 | 6 | 0 | 0 | 0 | 55 | 0 | 0 | 49.36% | 0 | 0 | 0.67 | 0 | 0 | 0.55 | |||
7 | Jesper Froden | ![]() | RW | 24 | 9 | 6 | 15 | 4 | 8 | 0 | 34 | 70 | 18 | 61 | 12.86% | 7 | 16.49 | 3 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 44.83% | 0 | 0 | 0.63 | 0 | 0 | 0.76 | |||
8 | Jack Ahcan | ![]() | D | 24 | 4 | 10 | 14 | 1 | 18 | 0 | 26 | 24 | 9 | 9 | 16.67% | 27 | 17.48 | 0 | 1 | 1 | 0 | 0 | 0 | 24 | 1 | 0 | 0.00% | 0 | 0 | 0.58 | 0 | 0 | 0.43 | |||
9 | Matt Tennyson | ![]() | D | 24 | 1 | 13 | 14 | 2 | 12 | 0 | 45 | 43 | 15 | 26 | 2.33% | 33 | 21.15 | 1 | 7 | 8 | 0 | 0 | 0 | 68 | 0 | 0 | 0.00% | 0 | 0 | 0.58 | 0 | 0 | 0.59 | |||
10 | Brad Malone | ![]() | C/RW | 24 | 5 | 9 | 14 | 3 | 11 | 5 | 19 | 46 | 15 | 26 | 10.87% | 2 | 13.16 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 58.82% | 0 | 0 | 0.58 | 0 | 0 | 0.54 | |||
11 | Zach Giuttari | ![]() | D | 19 | 5 | 9 | 14 | 0 | 8 | 0 | 27 | 33 | 14 | 27 | 15.15% | 27 | 19.63 | 3 | 5 | 8 | 0 | 0 | 0 | 40 | 1 | 1 | 0.00% | 0 | 0 | 0.74 | 0 | 0 | 0.71 | |||
12 | Paul Byron | ![]() | C | 24 | 6 | 8 | 14 | 3 | 14 | 0 | 22 | 48 | 12 | 39 | 12.50% | 4 | 14.14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 1 | 47.61% | 0 | 0 | 0.58 | 0 | 0 | 0.52 | |||
13 | Anton Stralman | ![]() | D | 23 | 5 | 7 | 12 | 5 | 24 | 0 | 26 | 51 | 12 | 23 | 9.80% | 34 | 22.52 | 1 | 4 | 5 | 1 | 0 | 1 | 65 | 0 | 1 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.52 | |||
14 | Mike Hardman | ![]() | LW/RW | 24 | 5 | 6 | 11 | 2 | 4 | 0 | 17 | 23 | 5 | 21 | 21.74% | 2 | 9.07 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | 1 | 0 | 88.24% | 0 | 0 | 0.46 | 0 | 0 | 0.43 | |||
15 | Matt Bartkowski | ![]() | D | 24 | 0 | 8 | 8 | 0 | 8 | 0 | 47 | 14 | 6 | 5 | 0.00% | 18 | 17.20 | 0 | 0 | 0 | 0 | 2 | 2 | 45 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.28 | |||
16 | William Bitten | ![]() | C/RW | 24 | 2 | 5 | 7 | -5 | 15 | 5 | 26 | 42 | 11 | 35 | 4.76% | 1 | 12.32 | 0 | 1 | 1 | 0 | 0 | 0 | 28 | 1 | 0 | 44.25% | 0 | 0 | 0.29 | 0 | 0 | 0.18 | |||
17 | Elliot Desnoyers | ![]() | C/LW | 24 | 3 | 2 | 5 | -1 | 4 | 0 | 9 | 22 | 1 | 9 | 13.64% | 2 | 5.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 75.00% | 0 | 0 | 0.21 | 0 | 0 | 0.20 | |||
18 | Madison Bowey | ![]() | D | 6 | 1 | 3 | 4 | 0 | 4 | 0 | 12 | 7 | 3 | 1 | 14.29% | 8 | 19.77 | 0 | 2 | 2 | 0 | 0 | 0 | 17 | 1 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.53 | |||
19 | Danila Klimovich | ![]() | RW | 24 | 1 | 3 | 4 | 0 | 0 | 0 | 17 | 25 | 3 | 17 | 4.00% | 2 | 5.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 0 | 0 | 0.17 | 0 | 0 | 0.22 | |||
20 | Simon Edvinsson | ![]() | D | 6 | 1 | 0 | 1 | 2 | 4 | 0 | 9 | 8 | 1 | 2 | 12.50% | 11 | 17.06 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.34 | |||
Team Total or Average | 438 | 89 | 166 | 255 | 39 | 228 | 20 | 589 | 865 | 260 | 613 | 10.29% | 254 | 16.41 | 23 | 44 | 67 | 709 | 3 | 5 | 8 | 674 | 14 | 6 | 48.16% | 2226 | 0 | 0 | 0 | 0 | 0.71 | 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 | Eric Comrie | ![]() | 23 | 13 | 6 | 3 | 0.904 | 3.13 | 1321 | 0 | 2 | 69 | 720 | 0 | 2 | 0 | 0.400 | 5 | 23 | 1 | 1 | 3 | 0 |
2 | Michael Hutchinson | ![]() | 4 | 1 | 1 | 0 | 0.915 | 3.13 | 134 | 2 | 0 | 7 | 82 | 0 | 0 | 0 | 1.000 | 3 | 1 | 20 | 0 | 0 | 0 |
Team Total or Average | 27 | 14 | 7 | 3 | 0.905 | 3.13 | 1456 | 2 | 2 | 76 | 802 | 0 | 2 | 0 | 0.625 | 8 | 24 | 21 | 1 | 3 | 0 |
Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anton Stralman ![]() | D | 37 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Axel Andersson ![]() | D | 23 | 871,667$ | 871,667$ | RFA | ||||||
Brad Malone ![]() | C/RW | 34 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Brett Murray ![]() | C/LW | 25 | 762,500$ | 762,500$ | 775,000$ | ![]() | |||||
Danila Klimovich ![]() | RW | 20 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | ||||
Drew O'Connor ![]() | LW | 25 | 750,000$ | 750,000$ | 925,000$ | 925,000$ | UFA | ||||
Elliot Desnoyers ![]() | C/LW | 21 | 854,167$ | 854,167$ | 854,167$ | RFA | |||||
Eric Comrie ![]() | G | 28 | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA | |||||
Jack Ahcan ![]() | D | 26 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Jesper Froden ![]() | RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Justin Dowling ![]() | C/RW | 33 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Madison Bowey ![]() | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Mark Friedman ![]() | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Matt Bartkowski ![]() | D | 35 | 750,000$ | 775,000$ | UFA | ||||||
Matt Tennyson ![]() | D | 33 | 750,000$ | 750,000$ | UFA | ||||||
Matthew Highmore ![]() | C/LW/RW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Michael Carcone ![]() | C/LW | 27 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Michael Hutchinson ![]() | G | 33 | 750,000$ | 750,000$ | UFA | ||||||
Mike Hardman ![]() | LW/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Paul Byron ![]() | C | 34 | 750,000$ | 3,400,000$ | UFA | ||||||
Simon Edvinsson ![]() | D | 20 | 1,744,167$ | 1,744,167$ | 1,744,167$ | 1,744,167$ | RFA | ||||
Tyson Kozak ![]() | C | 20 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Victor Brattstrom ![]() | G | 26 | 750,000$ | 750,000$ | ![]() | ||||||
William Bitten ![]() | C/RW | 25 | 858,333$ | 762,500$ | 762,500$ | ![]() | |||||
Zach Giuttari ![]() | D | 27 | 750,000$ | 775,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 34 | 28 | 25 | 3 | 38 | 264 | 277 | 302 | 23 | 28 | 16 | 11 | 30 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 66.7% | 7.9% | 92.9% | 100.8 | DULL |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 34 | 28 | 25 | 3 | 36 | 264 | 277 | 302 | 23 | 34 | 11 | 4 | 19 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 28.6% | 5.6% | 82.4% | 87.9 | Unlucky |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 34 | 28 | 25 | 3 | 30 | 264 | 277 | 302 | 23 | 29 | 11 | 8 | 13 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 57.1% | 16.7% | 89.7% | 106.3 | FUN |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 34 | 28 | 25 | 3 | 27 | 264 | 277 | 302 | 23 | 35 | 14 | 10 | 27 | 4 | 2 | 50.00% | 5 | 2 | 60.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 75.0% | 18.5% | 91.4% | 109.9 | LUCKY |
5 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 34 | 28 | 25 | 3 | 43 | 264 | 277 | 302 | 23 | 35 | 7 | 15 | 29 | 3 | 3 | 100.00% | 5 | 1 | 80.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 60.0% | 14.0% | 91.4% | 105.4 | LUCKY |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 34 | 28 | 25 | 3 | 40 | 264 | 277 | 302 | 23 | 29 | 11 | 8 | 28 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 80.0% | 15.0% | 93.1% | 108.1 | LUCKY |
7 | ![]() | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 34 | 28 | 25 | 3 | 29 | 264 | 277 | 302 | 23 | 39 | 10 | 12 | 21 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 40.0% | 10.3% | 89.7% | 100.1 | FUN |
8 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 34 | 28 | 25 | 3 | 33 | 264 | 277 | 302 | 23 | 38 | 7 | 2 | 23 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 50.0% | 15.2% | 89.5% | 104.6 | FUN |
9 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 34 | 28 | 25 | 3 | 60 | 264 | 277 | 302 | 23 | 57 | 19 | 10 | 36 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 55.6% | 8.3% | 91.2% | 99.6 | DULL |
10 | ![]() | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 7 | 15 | -8 | 1 | 0.167 | 7 | 12 | 19 | 0 | 0 | 34 | 28 | 25 | 3 | 99 | 264 | 277 | 302 | 23 | 124 | 33 | 36 | 72 | 8 | 2 | 25.00% | 17 | 4 | 76.47% | 1 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 31.3% | 7.1% | 87.9% | 95.0 | Unlucky |
11 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 34 | 28 | 25 | 3 | 35 | 264 | 277 | 302 | 23 | 35 | 6 | 10 | 25 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 75.0% | 11.4% | 94.3% | 105.7 | LUCKY |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 14 | 21 | 0 | 0 | 34 | 28 | 25 | 3 | 37 | 264 | 277 | 302 | 23 | 33 | 4 | 10 | 29 | 6 | 3 | 50.00% | 4 | 2 | 50.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 66.7% | 18.9% | 87.9% | 106.8 | FUN |
13 | ![]() | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 34 | 28 | 25 | 3 | 63 | 264 | 277 | 302 | 23 | 77 | 30 | 18 | 48 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 37.5% | 6.3% | 92.2% | 98.6 | DULL |
14 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 34 | 28 | 25 | 3 | 42 | 264 | 277 | 302 | 23 | 40 | 5 | 6 | 21 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 71.4% | 11.9% | 95.0% | 106.9 | LUCKY |
15 | ![]() | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 34 | 28 | 25 | 3 | 84 | 264 | 277 | 302 | 23 | 63 | 24 | 34 | 43 | 11 | 1 | 9.09% | 10 | 1 | 90.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 42.9% | 8.3% | 85.7% | 94.0 | Unlucky |
16 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 34 | 28 | 25 | 3 | 27 | 264 | 277 | 302 | 23 | 30 | 11 | 6 | 37 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 50.0% | 7.4% | 96.7% | 104.1 | DULL |
17 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 34 | 28 | 25 | 3 | 49 | 264 | 277 | 302 | 23 | 30 | 13 | 10 | 23 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 60.0% | 8.2% | 90.0% | 98.2 | Unlucky |
18 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 16 | 25 | 0 | 1 | 34 | 28 | 25 | 3 | 86 | 264 | 277 | 302 | 23 | 46 | 14 | 16 | 53 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 1 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 70.0% | 10.5% | 91.3% | 101.8 | LUCKY |
_Vs Division | 10 | 3 | 3 | 0 | 1 | 1 | 1 | 1 | 37 | 35 | 2 | 12 | 0.600 | 37 | 69 | 106 | 0 | 1 | 34 | 28 | 25 | 3 | 360 | 264 | 277 | 302 | 23 | 358 | 93 | 88 | 246 | 33 | 9 | 27.27% | 40 | 8 | 80.00% | 3 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 50.9% | 10.3% | 90.2% | 100.5 | FUN | |
_Vs Conference | 17 | 8 | 4 | 0 | 1 | 1 | 1 | 2 | 61 | 53 | 8 | 23 | 0.676 | 61 | 113 | 174 | 0 | 1 | 34 | 28 | 25 | 3 | 603 | 264 | 277 | 302 | 23 | 584 | 159 | 151 | 417 | 62 | 16 | 25.81% | 68 | 13 | 80.88% | 3 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 52.9% | 10.1% | 90.9% | 101.0 | FUN | |
_Since Last GM Reset | 24 | 12 | 7 | 0 | 1 | 1 | 1 | 2 | 89 | 78 | 11 | 31 | 0.646 | 89 | 163 | 252 | 0 | 1 | 34 | 28 | 25 | 3 | 858 | 264 | 277 | 302 | 23 | 802 | 246 | 226 | 577 | 91 | 23 | 25.27% | 95 | 19 | 80.00% | 3 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 52.8% | 10.4% | 90.3% | 100.6 | FUN | |
Total | 24 | 12 | 7 | 0 | 1 | 1 | 1 | 2 | 89 | 78 | 11 | 31 | 0.646 | 89 | 163 | 252 | 0 | 1 | 34 | 28 | 25 | 3 | 858 | 264 | 277 | 302 | 23 | 802 | 246 | 226 | 577 | 91 | 23 | 25.27% | 95 | 19 | 80.00% | 3 | 436 | 881 | 49.49% | 428 | 900 | 47.56% | 208 | 417 | 49.88% | 570 | 382 | 560 | 186 | 326 | 163 | 52.8% | 10.4% | 90.3% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 881 |
Neutral Zone Start | 417 |
Defensive Zone Start | 900 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1072 |
Faceoffs Lost | 1126 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 22.5 | 20.31 |
3rd Period | 35.1 | 30.68 |
Overtime | 36.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.6 | 2.67 |
Overtime | 3.8 | 2.83 |
Even Strenght Goal | 63 |
---|---|
PP Goal | 23 |
PK Goal | 3 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 4 |
Lost | 3 | 4 |
Overtime Lost | 1 | 2 |
PP Attempt | 91 |
---|---|
PP Goal | 23 |
PK Attempt | 95 |
PK Goal Against | 19 |
Home | |
---|---|
Shots For | 35.8 |
Shots Against | 33.4 |
Goals For | 3.7 |
Goals Against | 3.3 |
Hits | 24.0 |
Shots Blocked | 10.3 |
Pim | 9.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wed, Oct 18 | ![]() | @ | ![]() | FCV4,SDG5 | RECAP | |||||||||
Thu, Oct 19 | ![]() | @ | ![]() | FCV1,ONT5 | RECAP | |||||||||
Sat, Oct 21 | ![]() | @ | ![]() | HEN4,FCV5 (SO) | RECAP | |||||||||
Mon, Oct 23 | ![]() | @ | ![]() | CHW3,FCV5 | RECAP | |||||||||
Wed, Oct 25 | ![]() | @ | ![]() | SPR2,FCV4 | RECAP | |||||||||
Fri, Oct 27 | ![]() | @ | ![]() | FCV6,EAG3 | RECAP | |||||||||
Sun, Oct 29 | ![]() | @ | ![]() | FCV3,RFD4 (SO) | RECAP | |||||||||
Tue, Oct 31 | ![]() | @ | ![]() | ROC6,FCV2 | RECAP | |||||||||
Thu, Nov 2 | ![]() | @ | ![]() | ABB2,FCV5 | RECAP | |||||||||
Sat, Nov 4 | ![]() | @ | ![]() | WBS5,FCV4 | RECAP | |||||||||
Tue, Nov 7 | ![]() | @ | ![]() | FCV7,WRA4 | RECAP | |||||||||
Thu, Nov 9 | ![]() | @ | ![]() | FCV3,IOW2 | RECAP | |||||||||
Sat, Nov 11 | ![]() | @ | ![]() | FCV3,WBS4 | RECAP | |||||||||
Tue, Nov 14 | ![]() | @ | ![]() | MIL1,FCV2 | RECAP | |||||||||
Fri, Nov 17 | ![]() | @ | ![]() | IOW3,FCV2 | RECAP | |||||||||
Sun, Nov 19 | ![]() | @ | ![]() | MAN3,FCV4 | RECAP | |||||||||
Thu, Nov 23 | ![]() | @ | ![]() | HAR2,FCV6 | RECAP | |||||||||
Sat, Nov 25 | ![]() | @ | ![]() | ONT4,FCV3 (OT) | RECAP | |||||||||
Wed, Nov 29 | ![]() | @ | ![]() | SJB4,FCV5 (OT) | RECAP | |||||||||
Fri, Dec 1 | ![]() | @ | ![]() | FCV4,HEN0 | RECAP | |||||||||
Sun, Dec 3 | ![]() | @ | ![]() | FCV0,SDG1 (SO) | RECAP | |||||||||
Tue, Dec 5 | ![]() | @ | ![]() | FCV3,ONT6 | RECAP | |||||||||
Thu, Dec 7 | ![]() | @ | ![]() | HER3,FCV5 | RECAP | |||||||||
Sat, Dec 9 | ![]() | @ | ![]() | CHA2,FCV3 | RECAP | |||||||||
Tue, Dec 12 | ![]() | @ | ![]() | |||||||||||
Fri, Dec 15 | ![]() | @ | ![]() | |||||||||||
Sun, Dec 17 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 19 | ![]() | @ | ![]() | |||||||||||
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Sun, Dec 24 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 26 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 28 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 3 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 5 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 7 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 9 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 11 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 13 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 15 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 16 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 18 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 20 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 22 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 23 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 25 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 27 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 31 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 2 | ![]() | @ | ![]() | |||||||||||
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Sun, Feb 18 | ![]() | @ | ![]() | |||||||||||
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Thu, Feb 22 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 24 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 26 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 29 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Sun, Mar 3 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 5 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 7 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 8 | ![]() | @ | ![]() | |||||||||||
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Mon, Mar 18 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 21 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 23 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 26 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 28 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 30 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 1 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 4 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 6 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 8 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 9 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 11 | ![]() | @ | ![]() | |||||||||||
Sat, Apr 13 | ![]() | @ | ![]() | |||||||||||
Mon, Apr 15 | ![]() | @ | ![]() | |||||||||||
Tue, Apr 16 | ![]() | @ | ![]() | |||||||||||
Thu, Apr 18 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,432,668$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Coachella Valley | |
Capacity | 4000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
![]() |
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![]() |
Arena Capacity | 2000 | 2000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 20289 | 26624 | |||
Attendance PCT | 72.46% | 95.09% | 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 |
27 | 3351 - 83.77% | 118,080$ | 1,653,120$ | 4000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,432,668$ | 2,172,251$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
714,312$ | 0$ | 714,312$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
3,188,160$ | 130 | 12,871$ | 1,673,230$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,673,230$ | 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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