Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Logan Brown (R) | 32 | C | 100.00 | 84 | 75 | 80 | 64 | 96 | 78 | 79 | 67 | 75 | 68 | 64 | 65 | 63 | 66 | 68 | 0 | 50 | 73 | 25 | 1,585,500$/2yrs | |||
MacKenzie Entwistle | 33 | RW | 100.00 | 77 | 45 | 82 | 64 | 80 | 76 | 81 | 62 | 57 | 64 | 61 | 66 | 62 | 64 | 67 | 0 | 50 | 70 | 23 | 831,389$/3yrs | |||
Michael Dal Colle | 35 | LW | 100.00 | 72 | 38 | 88 | 62 | 82 | 81 | 70 | 63 | 58 | 62 | 59 | 61 | 65 | 66 | 68 | 0 | 50 | 68 | 26 | 814,000$/1yrs | |||
Serron Noel | 38 | RW | 100.00 | 84 | 45 | 67 | 57 | 93 | 71 | 92 | 58 | 56 | 57 | 54 | 59 | 55 | 62 | 64 | 0 | 50 | 67 | 22 | 894,167$/2yrs | |||
Jimmy Huntington | 30 | C | 100.00 | 66 | 39 | 82 | 60 | 75 | 72 | 87 | 59 | 68 | 61 | 58 | 60 | 59 | 64 | 66 | 0 | 50 | 66 | 24 | 1,259,000$/2yrs | |||
William Lockwood | 39 | RW | 100.00 | 82 | 38 | 76 | 59 | 67 | 79 | 81 | 57 | 63 | 58 | 59 | 62 | 59 | 64 | 66 | 0 | 50 | 66 | 24 | 953,125$/2yrs | |||
Gabriel Fortier | 25 | LW | 100.00 | 73 | 35 | 85 | 56 | 66 | 76 | 85 | 57 | 64 | 58 | 59 | 60 | 63 | 62 | 64 | 0 | 50 | 65 | 23 | 880,000$/2yrs | |||
Arnaud Durandeau | 20 | LW | 100.00 | 58 | 37 | 84 | 59 | 67 | 84 | 85 | 58 | 62 | 61 | 59 | 56 | 57 | 63 | 65 | 0 | 50 | 65 | 24 | 873,000$/3yrs | |||
Evan Barratt | 23 | C | 100.00 | 63 | 33 | 72 | 56 | 74 | 78 | 85 | 57 | 66 | 58 | 59 | 56 | 58 | 63 | 65 | 0 | 50 | 64 | 24 | 925,000$/2yrs | |||
Linus Weissbach | 45 | LW | 100.00 | 56 | 37 | 84 | 59 | 67 | 73 | 85 | 62 | 57 | 60 | 58 | 53 | 59 | 64 | 66 | 0 | 50 | 64 | 25 | 925,000$/2yrs | |||
Ivan Lodnia | 43 | RW | 100.00 | 64 | 37 | 86 | 57 | 73 | 77 | 66 | 56 | 52 | 54 | 55 | 53 | 58 | 63 | 65 | 0 | 50 | 62 | 23 | 871,667$/1yrs | |||
Philippe Daoust (R) | 46 | C | 100.00 | 56 | 36 | 92 | 56 | 65 | 69 | 62 | 55 | 68 | 59 | 51 | 53 | 57 | 61 | 63 | 0 | 50 | 60 | 22 | 791,250$/4yrs | |||
Ian Mitchell | 28 | D | 100.00 | 63 | 35 | 92 | 68 | 69 | 81 | 89 | 66 | 30 | 67 | 62 | 64 | 52 | 63 | 65 | 0 | 50 | 69 | 24 | 1,775,000$/2yrs | |||
Gavin Bayreuther | 26 | D | 100.00 | 68 | 51 | 76 | 61 | 77 | 81 | 76 | 62 | 30 | 71 | 59 | 64 | 51 | 68 | 70 | 0 | 50 | 69 | 29 | 750,000$/2yrs | |||
Kevin Gravel | 31 | D | 100.00 | 78 | 39 | 82 | 54 | 87 | 70 | 88 | 55 | 30 | 56 | 53 | 59 | 46 | 70 | 72 | 0 | 50 | 66 | 31 | 758,333$/3yrs | |||
David Farrance (A) | 21 | D | 100.00 | 58 | 36 | 94 | 62 | 70 | 83 | 75 | 61 | 30 | 60 | 56 | 63 | 48 | 62 | 65 | 0 | 50 | 66 | 23 | 1,350,000$/1yrs | |||
Mattias Norlinder (C) | 34 | D | 100.00 | 61 | 36 | 87 | 66 | 71 | 77 | 65 | 63 | 30 | 64 | 58 | 61 | 50 | 62 | 64 | 0 | 50 | 66 | 23 | 925,000$/3yrs | |||
Samuel Bolduc | 37 | D | 100.00 | 77 | 39 | 82 | 54 | 89 | 68 | 83 | 54 | 30 | 57 | 55 | 59 | 47 | 62 | 64 | 0 | 50 | 65 | 22 | 1,445,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Alex Beaucage | 40 | RW | 100.00 | 67 | 39 | 82 | 58 | 76 | 81 | 68 | 55 | 54 | 56 | 55 | 58 | 59 | 61 | 63 | 0 | 50 | 64 | 21 | 925,000$/3yrs | |||
Reece Newkirk | 47 | C | 100.00 | 61 | 39 | 75 | 53 | 70 | 69 | 61 | 52 | 62 | 54 | 50 | 55 | 53 | 61 | 63 | 0 | 50 | 60 | 22 | 823,333$/3yrs | |||
Tyler Tucker | 49 | D | 100.00 | 69 | 34 | 66 | 55 | 78 | 75 | 81 | 53 | 30 | 56 | 53 | 51 | 46 | 62 | 64 | 0 | 50 | 63 | 23 | 803,333$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Eetu Makiniemi | 22 | 100.00 | 74 | 69 | 70 | 77 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 63 | 69 | 0 | 50 | 74 | 24 | 925,000$/2yrs |
Arturs Silovs | 41 | 100.00 | 68 | 66 | 67 | 86 | 67 | 66 | 68 | 67 | 66 | 68 | 67 | 61 | 65 | 0 | 50 | 70 | 22 | 796,111$/3yrs |
Scratches | ||||||||||||||||||||
Jakub Skarek | 44 | 100.00 | 69 | 74 | 75 | 83 | 68 | 67 | 69 | 68 | 67 | 69 | 68 | 63 | 69 | 0 | 50 | 72 | 23 | 1,031,666$/2yrs |
Trent Miner | 48 | 100.00 | 69 | 67 | 66 | 74 | 68 | 67 | 69 | 68 | 67 | 69 | 68 | 61 | 65 | 0 | 50 | 70 | 22 | 828,333$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Daniel Sedin | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Sue | 42 | 5 | 0$ |
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 |
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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 |
# | 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 |
---|
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Beaucage | RW | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Arnaud Durandeau | LW | 24 | 873,000$ | 1,094,000$ | 762,500$ | 762,500$ | UFA | ||||
Arturs Silovs | G | 22 | 796,111$ | 796,111$ | 796,111$ | 796,111$ | RFA | ||||
David Farrance | D | 23 | 1,350,000$ | 1,350,000$ | RFA | ||||||
Eetu Makiniemi | G | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Evan Barratt | C | 24 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Gabriel Fortier | LW | 23 | 880,000$ | 880,000$ | 880,000$ | RFA | |||||
Gavin Bayreuther | D | 29 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Ian Mitchell | D | 24 | 1,775,000$ | 1,775,000$ | 1,775,000$ | RFA | |||||
Ivan Lodnia | RW | 23 | 871,667$ | 871,667$ | RFA | ||||||
Jakub Skarek | G | 23 | 1,031,666$ | 1,150,000$ | 913,333$ | RFA | |||||
Jimmy Huntington | C | 24 | 1,259,000$ | 1,768,000$ | 750,000$ | RFA | |||||
Kevin Gravel | D | 31 | 758,333$ | 750,000$ | 762,500$ | 762,500$ | UFA | ||||
Linus Weissbach | LW | 25 | 925,000$ | 925,000$ | 925,000$ | UFA | |||||
Logan Brown | C | 25 | 1,585,500$ | 2,421,000$ | 750,000$ | UFA | |||||
MacKenzie Entwistle | RW | 23 | 831,389$ | 894,167$ | 800,000$ | 800,000$ | RFA | ||||
Mattias Norlinder | D | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Michael Dal Colle | LW | 26 | 814,000$ | 814,000$ | UFA | ||||||
Philippe Daoust | C | 22 | 791,250$ | 700,000$ | 821,667$ | 821,667$ | 821,667$ | RFA | |||
Reece Newkirk | C | 22 | 823,333$ | 823,333$ | 823,333$ | 823,333$ | RFA | ||||
Samuel Bolduc | D | 22 | 1,445,000$ | 1,965,000$ | 925,000$ | RFA | |||||
Serron Noel | RW | 22 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Trent Miner | G | 22 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | RFA | ||||
Tyler Tucker | D | 23 | 803,333$ | 803,333$ | 803,333$ | RFA | |||||
William Lockwood | RW | 24 | 953,125$ | 1,156,250$ | 750,000$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,710,936$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Bridgeport | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 25$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,710,936$ | 2,473,921$ | 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$ | 0 | 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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