*** Début pré saison lundi 21 septembre à 16h00 ***
Last update: 2026-10-23 19:33:04
Waivers Alert
Washington Capitals is looking for a new General Manager
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matej Blumel | 0 | LW/RW | 100.00 | 64 | 42 | 71 | 71 | 65 | 68 | 66 | 69 | 45 | 66 | 65 | 66 | 67 | 54 | 50 | 0 | 50 | 65 | 26 | 875,000$/1yrs | |||
Reid Schaefer | 0 | LW | 100.00 | 76 | 50 | 78 | 68 | 85 | 70 | 64 | 65 | 43 | 59 | 62 | 65 | 65 | 53 | 50 | 0 | 50 | 64 | 23 | 886,667$/2yrs | |||
Matthew Poitras | 0 | C | 100.00 | 60 | 42 | 72 | 72 | 69 | 72 | 64 | 66 | 64 | 67 | 59 | 62 | 66 | 53 | 50 | 0 | 50 | 64 | 22 | 950,000$/2yrs | |||
Georgii Merkulov | 0 | C/RW | 100.00 | 59 | 42 | 70 | 71 | 59 | 68 | 66 | 66 | 45 | 65 | 61 | 64 | 66 | 53 | 50 | 0 | 50 | 63 | 26 | 775,000$/2yrs | |||
Ethan Cardwell | 0 | LW/RW | 100.00 | 62 | 42 | 69 | 67 | 64 | 63 | 60 | 62 | 43 | 58 | 55 | 60 | 61 | 51 | 50 | 0 | 50 | 60 | 24 | 925,000$/2yrs | |||
Dans Locmelis (R) | 0 | C | 100.00 | 62 | 40 | 70 | 69 | 62 | 61 | 59 | 60 | 54 | 57 | 56 | 63 | 62 | 50 | 50 | 0 | 50 | 60 | 22 | 860,000$/3yrs | |||
Philippe Daoust | 46 | C | 100.00 | 57 | 42 | 71 | 63 | 63 | 64 | 62 | 62 | 62 | 63 | 55 | 54 | 60 | 52 | 50 | 0 | 50 | 59 | 24 | 775,000$/2yrs | |||
Filip Mesar | 0 | RW | 100.00 | 59 | 42 | 71 | 67 | 60 | 64 | 62 | 61 | 42 | 60 | 54 | 58 | 61 | 50 | 50 | 0 | 50 | 59 | 22 | 886,666$/2yrs | |||
Daylan Kuefler (R) | 0 | LW | 100.00 | 61 | 45 | 65 | 64 | 64 | 64 | 61 | 59 | 41 | 56 | 53 | 57 | 59 | 52 | 50 | 0 | 50 | 58 | 24 | 840,000$/3yrs | |||
Cameron Butler | 0 | RW | 100.00 | 64 | 45 | 64 | 58 | 70 | 62 | 59 | 55 | 41 | 51 | 51 | 53 | 54 | 52 | 50 | 0 | 50 | 56 | 24 | 858,333$/2yrs | |||
Aku Raty | 0 | RW | 100.00 | 54 | 41 | 61 | 57 | 58 | 59 | 57 | 56 | 41 | 56 | 52 | 52 | 54 | 51 | 50 | 0 | 50 | 55 | 25 | 850,000$/1yrs | |||
Tristen Robins | 0 | RW | 100.00 | 52 | 41 | 65 | 58 | 57 | 59 | 57 | 56 | 53 | 54 | 52 | 51 | 55 | 51 | 50 | 0 | 50 | 55 | 24 | 775,000$/1yrs | |||
Jordan Harris | 0 | D | 100.00 | 58 | 41 | 78 | 76 | 78 | 83 | 71 | 68 | 40 | 64 | 63 | 69 | 69 | 68 | 58 | 0 | 50 | 69 | 26 | 825,000$/2yrs | |||
Owen Pickering | 0 | D | 100.00 | 64 | 41 | 73 | 70 | 72 | 70 | 63 | 66 | 40 | 63 | 59 | 68 | 65 | 51 | 50 | 0 | 50 | 65 | 22 | 1,136,667$/2yrs | |||
Ian Mitchell | 28 | D | 100.00 | 63 | 41 | 73 | 70 | 61 | 68 | 66 | 64 | 40 | 63 | 55 | 69 | 63 | 55 | 50 | 0 | 50 | 64 | 27 | 775,000$/1yrs | |||
Nolan Allan | 0 | D | 100.00 | 63 | 45 | 69 | 69 | 70 | 71 | 65 | 65 | 40 | 62 | 57 | 65 | 63 | 52 | 50 | 0 | 50 | 64 | 23 | 880,000$/2yrs | |||
Frederic Brunet | 0 | D | 100.00 | 66 | 43 | 70 | 71 | 65 | 63 | 61 | 65 | 40 | 62 | 60 | 69 | 66 | 50 | 50 | 0 | 50 | 64 | 23 | 860,000$/3yrs | |||
Tobie Bisson | 0 | D | 100.00 | 63 | 42 | 72 | 66 | 66 | 70 | 68 | 61 | 40 | 55 | 54 | 68 | 60 | 59 | 52 | 0 | 50 | 63 | 29 | 775,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Matt Copponi (R) | 0 | C | 100.00 | 52 | 41 | 67 | 61 | 57 | 58 | 55 | 53 | 49 | 51 | 51 | 51 | 54 | 51 | 50 | 0 | 50 | 54 | 23 | 775,000$/1yrs | |||
Justin Gill | 0 | C/LW/RW | 100.00 | 51 | 41 | 63 | 54 | 57 | 55 | 52 | 52 | 40 | 51 | 50 | 50 | 52 | 50 | 50 | 0 | 50 | 52 | 23 | 775,000$/1yrs | |||
Kale Clague (A) | 0 | D | 100.00 | 54 | 43 | 67 | 69 | 61 | 69 | 67 | 66 | 40 | 62 | 60 | 63 | 65 | 57 | 50 | 0 | 50 | 62 | 28 | 775,000$/1yrs | |||
Konnor Smith (R) | 0 | D | 100.00 | 64 | 42 | 66 | 60 | 71 | 60 | 60 | 60 | 40 | 60 | 60 | 60 | 60 | 50 | 50 | 0 | 50 | 60 | 21 | 855,000$/3yrs | |||
Sawyer Mynio (R) | 0 | D | 100.00 | 60 | 43 | 65 | 64 | 63 | 62 | 61 | 62 | 40 | 61 | 60 | 60 | 60 | 50 | 50 | 0 | 50 | 60 | 21 | 886,666$/3yrs | |||
Calle Odelius | 0 | D | 100.00 | 58 | 41 | 70 | 64 | 63 | 60 | 58 | 56 | 40 | 54 | 53 | 57 | 58 | 50 | 50 | 0 | 50 | 58 | 22 | 895,000$/2yrs | |||
Dyllan Gill | 0 | D | 100.00 | 54 | 40 | 64 | 58 | 56 | 54 | 52 | 52 | 40 | 50 | 51 | 54 | 52 | 50 | 50 | 0 | 50 | 54 | 22 | 950,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jakub Skarek | 44 | 100.00 | 67 | 63 | 64 | 68 | 66 | 65 | 67 | 64 | 66 | 66 | 57 | 54 | 50 | 0 | 50 | 61 | 26 | 775,000$/1yrs |
Talyn Boyko | 0 | 100.00 | 59 | 55 | 55 | 69 | 60 | 57 | 56 | 53 | 57 | 58 | 50 | 51 | 50 | 0 | 50 | 54 | 24 | 775,000$/1yrs |
| Scratches | ||||||||||||||||||||
Arno Tiefensee | 0 | 100.00 | 61 | 57 | 58 | 66 | 62 | 62 | 64 | 61 | 62 | 60 | 54 | 52 | 50 | 0 | 50 | 57 | 24 | 850,000$/2yrs |
Vyacheslav Buteyets | 0 | 100.00 | 61 | 55 | 55 | 65 | 59 | 55 | 54 | 50 | 56 | 58 | 50 | 52 | 50 | 0 | 50 | 53 | 24 | 852,500$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ryan Mougenel | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 50 | 5 | 0$ |
| General Manager |
|---|
| 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 | Matej Blumel | islanders (NYI) | LW/RW | 5 | 5 | 6 | 11 | 3 | 0 | 0 | 5 | 30 | 5 | 9 | 16.67% | 2 | 21.04 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 1 | 0 | 33.33% | 0 | 0 | 2.20 | 0 | 0 | 2.24 | |||
| 2 | Matthew Poitras | islanders (NYI) | C | 5 | 2 | 5 | 7 | 3 | 4 | 0 | 8 | 13 | 5 | 10 | 15.38% | 0 | 20.75 | 0 | 2 | 2 | 0 | 0 | 0 | 13 | 0 | 0 | 56.16% | 0 | 0 | 1.40 | 0 | 0 | 1.28 | |||
| 3 | Owen Pickering | islanders (NYI) | D | 5 | 1 | 6 | 7 | -2 | 6 | 0 | 8 | 12 | 1 | 5 | 8.33% | 11 | 23.31 | 0 | 1 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 1.40 | 0 | 0 | 0.90 | |||
| 4 | Reid Schaefer | islanders (NYI) | LW | 5 | 1 | 5 | 6 | 5 | 2 | 0 | 12 | 15 | 3 | 13 | 6.67% | 0 | 20.98 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 40.00% | 0 | 0 | 1.20 | 0 | 0 | 1.42 | |||
| 5 | Ethan Cardwell | islanders (NYI) | LW/RW | 5 | 3 | 0 | 3 | 2 | 2 | 0 | 8 | 7 | 1 | 2 | 42.86% | 0 | 15.48 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 0 | 44.44% | 0 | 0 | 0.60 | 0 | 0 | 0.65 | |||
| 6 | Jordan Harris | islanders (NYI) | D | 5 | 1 | 2 | 3 | 1 | 2 | 0 | 3 | 8 | 6 | 8 | 12.50% | 6 | 18.60 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.60 | 0 | 0 | 0.64 | |||
| 7 | Ian Mitchell | islanders (NYI) | D | 5 | 0 | 2 | 2 | -1 | 4 | 0 | 9 | 4 | 1 | 5 | 0.00% | 7 | 21.32 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.22 | |||
| 8 | Nolan Allan | islanders (NYI) | D | 5 | 1 | 1 | 2 | 1 | 2 | 0 | 9 | 3 | 1 | 5 | 33.33% | 5 | 21.94 | 1 | 0 | 1 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.44 | |||
| 9 | Dans Locmelis | islanders (NYI) | C | 5 | 1 | 1 | 2 | 1 | 2 | 0 | 4 | 6 | 2 | 1 | 16.67% | 3 | 12.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 54.10% | 0 | 0 | 0.40 | 0 | 0 | 0.42 | |||
| 10 | Aku Raty | islanders (NYI) | RW | 5 | 1 | 1 | 2 | -1 | 0 | 0 | 2 | 4 | 1 | 1 | 25.00% | 0 | 7.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.28 | |||
| 11 | Philippe Daoust | islanders (NYI) | C | 5 | 1 | 1 | 2 | 1 | 2 | 0 | 3 | 8 | 1 | 1 | 12.50% | 0 | 16.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 58.44% | 0 | 0 | 0.40 | 0 | 0 | 0.41 | |||
| 12 | Georgii Merkulov | islanders (NYI) | C/RW | 5 | 0 | 2 | 2 | -2 | 0 | 0 | 5 | 11 | 0 | 6 | 0.00% | 2 | 15.00 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 42.86% | 0 | 0 | 0.40 | 0 | 0 | 0.31 | |||
| 13 | Frederic Brunet | islanders (NYI) | D | 5 | 0 | 2 | 2 | 0 | 0 | 0 | 12 | 3 | 0 | 1 | 0.00% | 5 | 18.18 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.40 | |||
| 14 | Filip Mesar | islanders (NYI) | RW | 5 | 1 | 1 | 2 | 0 | 0 | 0 | 4 | 8 | 1 | 5 | 12.50% | 0 | 15.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.40 | 0 | 0 | 0.42 | |||
| 15 | Tobie Bisson | islanders (NYI) | D | 5 | 0 | 1 | 1 | 4 | 2 | 0 | 5 | 1 | 0 | 2 | 0.00% | 2 | 13.31 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.38 | |||
| 16 | Daylan Kuefler | islanders (NYI) | LW | 5 | 1 | 0 | 1 | -2 | 2 | 0 | 5 | 5 | 4 | 3 | 20.00% | 0 | 12.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 0 | 0 | 0.20 | 0 | 0 | 0.06 | |||
| 17 | Tristen Robins | islanders (NYI) | RW | 4 | 1 | 0 | 1 | -1 | 2 | 0 | 1 | 1 | 0 | 2 | 100.00% | 2 | 8.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.06 | |||
| 18 | Kale Clague | islanders (NYI) | D | 1 | 0 | 0 | 0 | 1 | 6 | 0 | 2 | 1 | 0 | 0 | 0.00% | 0 | 15.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.60 | |||
| 19 | Cameron Butler | islanders (NYI) | RW | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 2 | 1 | 2 | 0.00% | 0 | 9.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
| Team Total or Average | 90 | 20 | 36 | 56 | 13 | 40 | 0 | 109 | 142 | 33 | 81 | 14.08% | 45 | 16.30 | 2 | 3 | 5 | 95 | 0 | 0 | 0 | 131 | 4 | 0 | 52.48% | 404 | 0 | 0 | 0 | 0 | 0.76 | 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 | Jakub Skarek | islanders (NYI) | 5 | 4 | 1 | 0 | 0.894 | 3.19 | 301 | 0 | 0 | 16 | 151 | 0 | 1 | 0 | 0.000 | 0 | 5 | 0 | 0 | 1 | 0 |
| Team Total or Average | 5 | 4 | 1 | 0 | 0.894 | 3.19 | 301 | 0 | 0 | 16 | 151 | 0 | 1 | 0 | 0.000 | 0 | 5 | 0 | 0 | 1 | 0 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Aku Raty ![]() | RW | 25 | 850,000$ | 850,000$ | RFA | ||||||
Arno Tiefensee | G | 24 | 850,000$ | 850,000$ | 925,000$ | RFA | |||||
Calle Odelius | D | 22 | 895,000$ | 895,000$ | 895,000$ | RFA | |||||
Cameron Butler | RW | 24 | 858,333$ | 858,333$ | 850,000$ | RFA | |||||
Dans Locmelis | C | 22 | 860,000$ | 860,000$ | 960,000$ | 960,000$ | RFA | ||||
Daylan Kuefler | LW | 24 | 840,000$ | 840,000$ | 875,000$ | 875,000$ | RFA | ||||
Dyllan Gill | D | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Ethan Cardwell | LW/RW | 24 | 925,000$ | 925,000$ | 850,000$ | RFA | |||||
Filip Mesar | RW | 22 | 886,666$ | 886,666$ | 886,666$ | RFA | |||||
Frederic Brunet | D | 23 | 860,000$ | 860,000$ | 875,000$ | 875,000$ | RFA | ||||
Georgii Merkulov ![]() | C/RW | 26 | 775,000$ | 775,000$ | 850,000$ | UFA | |||||
Ian Mitchell ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Jakub Skarek ![]() | G | 26 | 775,000$ | 775,000$ | RFA | ||||||
Jordan Harris ![]() | D | 26 | 825,000$ | 825,000$ | 850,000$ | UFA | |||||
Justin Gill | C/LW/RW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Kale Clague ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Konnor Smith | D | 21 | 855,000$ | 855,000$ | 955,000$ | 955,000$ | RFA | ||||
Matej Blumel ![]() | LW/RW | 26 | 875,000$ | 875,000$ | RFA | ||||||
Matt Copponi | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Matthew Poitras | C | 22 | 950,000$ | 950,000$ | 850,000$ | RFA | |||||
Nolan Allan | D | 23 | 880,000$ | 880,000$ | 875,000$ | RFA | |||||
Owen Pickering | D | 22 | 1,136,667$ | 1,136,667$ | 1,136,667$ | RFA | |||||
Philippe Daoust | C | 24 | 775,000$ | 775,000$ | 850,000$ | RFA | |||||
Reid Schaefer | LW | 23 | 886,667$ | 886,667$ | 886,667$ | RFA | |||||
Sawyer Mynio | D | 21 | 886,666$ | 886,666$ | 986,666$ | 986,666$ | RFA | ||||
Talyn Boyko | G | 24 | 775,000$ | 775,000$ | RFA | ||||||
Tobie Bisson ![]() | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Tristen Robins | RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Vyacheslav Buteyets | G | 24 | 852,500$ | 852,500$ | RFA |
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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 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 5 | 10 | 4 | 1 | 26 | 44 | 54 | 41 | 3 | 36 | 13 | 14 | 24 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 82 | 150 | 54.67% | 96 | 173 | 55.49% | 34 | 80 | 42.50% | 112 | 75 | 124 | 37 | 64 | 31 | 28.6% | 7.7% | 86.1% | 93.8 | Unlucky |
| 2 | Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 5 | 10 | 4 | 1 | 25 | 44 | 54 | 41 | 3 | 42 | 10 | 8 | 23 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 82 | 150 | 54.67% | 96 | 173 | 55.49% | 34 | 80 | 42.50% | 112 | 75 | 124 | 37 | 64 | 31 | 66.7% | 20.0% | 95.2% | 115.2 | LUCKY |
| 3 | IceHogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 5 | 10 | 4 | 1 | 25 | 44 | 54 | 41 | 3 | 36 | 9 | 6 | 25 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 82 | 150 | 54.67% | 96 | 173 | 55.49% | 34 | 80 | 42.50% | 112 | 75 | 124 | 37 | 64 | 31 | 54.5% | 28.0% | 86.1% | 114.1 | FUN |
| 4 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 5 | 10 | 4 | 1 | 31 | 44 | 54 | 41 | 3 | 16 | 9 | 4 | 16 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 82 | 150 | 54.67% | 96 | 173 | 55.49% | 34 | 80 | 42.50% | 112 | 75 | 124 | 37 | 64 | 31 | 66.7% | 6.5% | 93.8% | 100.2 | DULL |
| 5 | Crunch | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 5 | 10 | 4 | 1 | 35 | 44 | 54 | 41 | 3 | 21 | 4 | 8 | 21 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 82 | 150 | 54.67% | 96 | 173 | 55.49% | 34 | 80 | 42.50% | 112 | 75 | 124 | 37 | 64 | 31 | 66.7% | 11.4% | 85.7% | 97.1 | FUN |
| _Vs Division | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 5 | 10 | 4 | 1 | 56 | 44 | 54 | 41 | 3 | 58 | 19 | 12 | 39 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 82 | 150 | 54.67% | 96 | 173 | 55.49% | 34 | 80 | 42.50% | 112 | 75 | 124 | 37 | 64 | 31 | 66.7% | 12.5% | 94.8% | 107.3 | LUCKY | |
| _Vs Conference | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 11 | 2 | 6 | 0.750 | 13 | 23 | 36 | 0 | 0 | 5 | 10 | 4 | 1 | 117 | 44 | 54 | 41 | 3 | 115 | 36 | 34 | 84 | 9 | 1 | 11.11% | 14 | 1 | 92.86% | 0 | 82 | 150 | 54.67% | 96 | 173 | 55.49% | 34 | 80 | 42.50% | 112 | 75 | 124 | 37 | 64 | 31 | 54.5% | 11.1% | 90.4% | 101.5 | FUN | |
| _Since Last GM Reset | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 20 | 16 | 4 | 8 | 0.800 | 20 | 36 | 56 | 0 | 0 | 5 | 10 | 4 | 1 | 142 | 44 | 54 | 41 | 3 | 151 | 45 | 40 | 109 | 11 | 2 | 18.18% | 17 | 1 | 94.12% | 0 | 82 | 150 | 54.67% | 96 | 173 | 55.49% | 34 | 80 | 42.50% | 112 | 75 | 124 | 37 | 64 | 31 | 54.5% | 14.1% | 89.4% | 103.5 | FUN | |
| Total | 5 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 20 | 16 | 4 | 8 | 0.800 | 20 | 36 | 56 | 0 | 0 | 5 | 10 | 4 | 1 | 142 | 44 | 54 | 41 | 3 | 151 | 45 | 40 | 109 | 11 | 2 | 18.18% | 17 | 1 | 94.12% | 0 | 82 | 150 | 54.67% | 96 | 173 | 55.49% | 34 | 80 | 42.50% | 112 | 75 | 124 | 37 | 64 | 31 | 54.5% | 14.1% | 89.4% | 103.5 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 12 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 150 |
| Neutral Zone Start | 80 |
| Defensive Zone Start | 173 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 31 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 212 |
| Faceoffs Lost | 191 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 8.8 | 9.57 |
| 2nd Period | 19.6 | 20.31 |
| 3rd Period | 27.8 | 30.68 |
| Overtime | 28.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 3.0 | 1.65 |
| 3rd Period | 3.8 | 2.67 |
| Overtime | 4.0 | 2.83 |
| Even Strenght Goal | 18 |
|---|---|
| PP Goal | 2 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 3 | 1 |
| Lost | 0 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 11 |
|---|---|
| PP Goal | 2 |
| PK Attempt | 17 |
| PK Goal Against | 1 |
| Home | |
|---|---|
| Shots For | 28.4 |
| Shots Against | 30.2 |
| Goals For | 4.0 |
| Goals Against | 3.2 |
| Hits | 21.8 |
| Shots Blocked | 9.0 |
| Pim | 8.0 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sun, Oct 11 | BRI | @ | MAR | BRI2,MAR5 | RECAP | |||||||||
| Wed, Oct 14 | UTI | @ | BRI | UTI1,BRI2 | RECAP | |||||||||
| Sat, Oct 17 | BRI | @ | HAR | BRI5,HAR2 | RECAP | |||||||||
| Mon, Oct 19 | RFD | @ | BRI | RFD5,BRI7 | RECAP | |||||||||
| Wed, Oct 21 | SYR | @ | BRI | SYR3,BRI4 (OT) | RECAP | |||||||||
| Sat, Oct 24 | ABB | @ | BRI | |||||||||||
| Mon, Oct 26 | BRI | @ | BNG | |||||||||||
| Wed, Oct 28 | BRI | @ | MAR | |||||||||||
| Sat, Oct 31 | SDG | @ | BRI | |||||||||||
| Mon, Nov 2 | ONT | @ | BRI | |||||||||||
| Thu, Nov 5 | BRI | @ | TEX | |||||||||||
| Sat, Nov 7 | BRI | @ | MIL | |||||||||||
| Mon, Nov 9 | BRI | @ | IOW | |||||||||||
| Wed, Nov 11 | BAK | @ | BRI | |||||||||||
| Mon, Nov 16 | CHW | @ | BRI | |||||||||||
| Wed, Nov 18 | UTI | @ | BRI | |||||||||||
| Fri, Nov 20 | BRI | @ | SJB | |||||||||||
| Mon, Nov 23 | BRI | @ | ONT | |||||||||||
| Wed, Nov 25 | BRI | @ | SDG | |||||||||||
| Sat, Nov 28 | CLE | @ | BRI | |||||||||||
| Mon, Nov 30 | BRI | @ | MAN | |||||||||||
| Tue, Dec 1 | BRI | @ | GRG | |||||||||||
| Thu, Dec 3 | MAR | @ | BRI | |||||||||||
| Sat, Dec 5 | SPR | @ | BRI | |||||||||||
| Sun, Dec 6 | MAN | @ | BRI | |||||||||||
| Mon, Dec 7 | BRI | @ | LEV | |||||||||||
| Thu, Dec 10 | CHA | @ | BRI | |||||||||||
| Sat, Dec 12 | BRI | @ | LEV | |||||||||||
| Sun, Dec 13 | SJB | @ | BRI | |||||||||||
| Wed, Dec 16 | EAG | @ | BRI | |||||||||||
| Sat, Dec 19 | WRA | @ | BRI | |||||||||||
| Sun, Dec 20 | BRI | @ | CHW | |||||||||||
| Thu, Dec 24 | BRI | @ | TUC | |||||||||||
| Fri, Dec 25 | BRI | @ | EAG | |||||||||||
| Sun, Dec 27 | BRI | @ | HEN | |||||||||||
| Tue, Dec 29 | HAR | @ | BRI | |||||||||||
| Thu, Dec 31 | PRO | @ | BRI | |||||||||||
| Fri, Jan 1 | BRI | @ | PRO | |||||||||||
| Sat, Jan 2 | BNG | @ | BRI | |||||||||||
| Tue, Jan 5 | HER | @ | BRI | |||||||||||
| Fri, Jan 8 | BRI | @ | FCV | |||||||||||
| Mon, Jan 11 | BRI | @ | ABB | |||||||||||
| Wed, Jan 13 | BRI | @ | WRA | |||||||||||
| Fri, Jan 15 | BRI | @ | BAK | |||||||||||
| Tue, Jan 19 | WBS | @ | BRI | |||||||||||
| Thu, Jan 21 | TEX | @ | BRI | |||||||||||
| Fri, Jan 22 | BRI | @ | UTI | |||||||||||
| Sun, Jan 24 | MIL | @ | BRI | |||||||||||
| Tue, Jan 26 | ROC | @ | BRI | |||||||||||
| Thu, Jan 28 | BRI | @ | HER | |||||||||||
| Fri, Jan 29 | FCV | @ | BRI | |||||||||||
| Mon, Feb 1 | BRI | @ | WBS | |||||||||||
| Wed, Feb 3 | BRI | @ | CHW | |||||||||||
| Fri, Feb 5 | BRI | @ | SYR | |||||||||||
| Sun, Feb 7 | BRI | @ | CHA | |||||||||||
| Tue, Feb 9 | BRI | @ | ROC | |||||||||||
| Sun, Feb 14 | BRI | @ | HAR | |||||||||||
| Mon, Feb 15 | IOW | @ | BRI | |||||||||||
| Wed, Feb 17 | TUC | @ | BRI | |||||||||||
| Sat, Feb 20 | HAR | @ | BRI | |||||||||||
| Mon, Feb 22 | BRI | @ | LVL | |||||||||||
| Wed, Feb 24 | BRI | @ | CLE | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Thu, Feb 25 | BRI | @ | RFD | |||||||||||
| Sun, Feb 28 | LEV | @ | BRI | |||||||||||
| Mon, Mar 1 | BRI | @ | CLE | |||||||||||
| Wed, Mar 3 | HER | @ | BRI | |||||||||||
| Sat, Mar 6 | HEN | @ | BRI | |||||||||||
| Tue, Mar 9 | WBS | @ | BRI | |||||||||||
| Thu, Mar 11 | LVL | @ | BRI | |||||||||||
| Sun, Mar 14 | BRI | @ | CHA | |||||||||||
| Mon, Mar 15 | BRI | @ | SYR | |||||||||||
| Wed, Mar 17 | BRI | @ | PRO | |||||||||||
| Fri, Mar 19 | BRI | @ | HER | |||||||||||
| Mon, Mar 22 | LEV | @ | BRI | |||||||||||
| Tue, Mar 23 | ROC | @ | BRI | |||||||||||
| Sat, Mar 27 | BRI | @ | SPR | |||||||||||
| Mon, Mar 29 | GRG | @ | BRI | |||||||||||
| Thu, Apr 1 | CHW | @ | BRI | |||||||||||
| Sat, Apr 3 | BRI | @ | WBS | |||||||||||
| Sun, Apr 4 | BNG | @ | BRI | |||||||||||
| Tue, Apr 6 | LVL | @ | BRI | |||||||||||
| Thu, Apr 8 | GRG | @ | BRI | |||||||||||
| Sat, Apr 10 | BRI | @ | UTI | |||||||||||
| Mon, Apr 12 | CLE | @ | BRI | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,467,250$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Bridgeport | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 25$ | $ | $ | $ |
| Attendance | 4212 | 1580 | |||
| Attendance PCT | 70.20% | 52.67% | 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 |
| 39 | 1931 - 64.36% | 92,837$ | 278,511$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,467,250$ | 2,467,250$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 184,406$ | 0$ | 184,406$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 3,620,643$ | 171 | 13,265$ | 2,281,580$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,281,580$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
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| Defense #1 | Defense #2 | Goalie |
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