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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 68 | 40 | 91 | 75 | 75 | 73 | 81 | 70 | 71 | 80 | 66 | 69 | 68 | 62 | 59 | 0 | 50 | 74 | 24 | 2,500,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 40 | 82 | 70 | 82 | 76 | 83 | 67 | 80 | 74 | 68 | 75 | 54 | 59 | 58 | 0 | 50 | 74 | 23 | 1,775,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 69 | 40 | 85 | 80 | 80 | 69 | 86 | 68 | 64 | 75 | 70 | 66 | 54 | 64 | 59 | 0 | 50 | 74 | 24 | 2,300,000$/5yrs | |||
![]() | 0 | C | 100.00 | 71 | 40 | 86 | 69 | 65 | 73 | 80 | 67 | 73 | 75 | 68 | 69 | 63 | 58 | 58 | 0 | 50 | 72 | 24 | 800,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 67 | 45 | 84 | 63 | 77 | 61 | 67 | 60 | 67 | 67 | 64 | 66 | 55 | 57 | 57 | 0 | 50 | 67 | 24 | 750,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 69 | 45 | 78 | 67 | 70 | 60 | 66 | 58 | 70 | 66 | 60 | 64 | 56 | 57 | 57 | 0 | 50 | 66 | 24 | 762,500$/2yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 59 | 50 | 73 | 60 | 68 | 64 | 67 | 61 | 71 | 64 | 61 | 62 | 67 | 71 | 60 | 0 | 50 | 65 | 29 | 750,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 61 | 50 | 76 | 61 | 67 | 61 | 60 | 58 | 54 | 62 | 60 | 64 | 55 | 57 | 56 | 0 | 50 | 64 | 24 | 1,288,333$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 55 | 57 | 64 | 60 | 65 | 68 | 66 | 57 | 55 | 56 | 59 | 63 | 54 | 62 | 57 | 0 | 50 | 63 | 25 | 750,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 52 | 52 | 63 | 57 | 48 | 62 | 60 | 59 | 52 | 55 | 61 | 61 | 54 | 56 | 52 | 0 | 50 | 61 | 24 | 750,000$/2yrs | |||
![]() | 0 | C | 100.00 | 55 | 54 | 67 | 57 | 62 | 63 | 61 | 58 | 70 | 57 | 58 | 59 | 54 | 55 | 53 | 0 | 50 | 61 | 22 | 863,333$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 54 | 38 | 84 | 52 | 67 | 67 | 53 | 50 | 48 | 64 | 60 | 58 | 51 | 51 | 55 | 0 | 50 | 61 | 21 | 1,258,333$/2yrs | |||
![]() | 0 | D | 100.00 | 75 | 40 | 83 | 67 | 90 | 88 | 72 | 59 | 40 | 72 | 58 | 87 | 54 | 57 | 58 | 0 | 50 | 74 | 23 | 925,000$/8yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 91 | 59 | 76 | 76 | 60 | 56 | 40 | 70 | 55 | 78 | 54 | 56 | 58 | 0 | 50 | 68 | 24 | 850,000$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 51 | 67 | 60 | 66 | 65 | 60 | 58 | 40 | 63 | 55 | 64 | 54 | 55 | 54 | 0 | 50 | 63 | 22 | 1,523,833$/2yrs | |||
![]() | 0 | D | 100.00 | 55 | 56 | 66 | 58 | 64 | 66 | 64 | 57 | 40 | 57 | 56 | 62 | 54 | 56 | 54 | 0 | 50 | 62 | 23 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 55 | 54 | 68 | 57 | 62 | 63 | 61 | 56 | 40 | 56 | 55 | 61 | 54 | 62 | 57 | 0 | 50 | 61 | 25 | 762,500$/2yrs | |||
![]() | 0 | D | 100.00 | 52 | 51 | 65 | 52 | 60 | 53 | 52 | 51 | 38 | 51 | 51 | 58 | 51 | 52 | 50 | 0 | 50 | 56 | 22 | 925,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 55 | 55 | 66 | 60 | 54 | 67 | 65 | 58 | 55 | 57 | 58 | 59 | 54 | 56 | 54 | 0 | 50 | 61 | 23 | 791,667$/1yrs | |||
![]() | 0 | C | 100.00 | 55 | 56 | 67 | 57 | 63 | 62 | 60 | 56 | 70 | 55 | 58 | 59 | 54 | 58 | 55 | 0 | 50 | 61 | 24 | 802,500$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 55 | 54 | 66 | 57 | 68 | 63 | 61 | 55 | 55 | 55 | 54 | 61 | 54 | 58 | 55 | 0 | 50 | 60 | 24 | 750,000$/1yrs | |||
![]() | 0 | C | 100.00 | 55 | 55 | 65 | 55 | 64 | 62 | 61 | 56 | 55 | 55 | 55 | 58 | 54 | 56 | 54 | 0 | 50 | 60 | 23 | 1,562,500$/1yrs | |||
![]() | 0 | RW | 100.00 | 55 | 55 | 62 | 55 | 58 | 60 | 59 | 55 | 55 | 55 | 55 | 60 | 54 | 54 | 53 | 0 | 50 | 59 | 21 | 863,333$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 55 | 54 | 67 | 55 | 57 | 58 | 57 | 54 | 55 | 54 | 54 | 59 | 54 | 56 | 54 | 0 | 50 | 58 | 23 | 925,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 53 | 52 | 59 | 54 | 54 | 63 | 62 | 57 | 67 | 57 | 53 | 56 | 51 | 52 | 50 | 0 | 50 | 58 | 22 | 855,000$/2yrs | |||
![]() | 0 | C | 100.00 | 53 | 51 | 64 | 52 | 60 | 55 | 54 | 52 | 52 | 52 | 51 | 58 | 51 | 52 | 50 | 0 | 50 | 56 | 23 | 894,167$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 55 | 62 | 58 | 65 | 66 | 65 | 56 | 40 | 56 | 56 | 62 | 56 | 56 | 54 | 0 | 50 | 61 | 23 | 1,044,167$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 55 | 63 | 58 | 68 | 65 | 64 | 55 | 40 | 55 | 55 | 60 | 54 | 62 | 57 | 0 | 50 | 61 | 25 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 55 | 54 | 67 | 56 | 65 | 60 | 59 | 55 | 40 | 55 | 55 | 60 | 54 | 58 | 55 | 0 | 50 | 60 | 24 | 832,500$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 64 | 66 | 66 | 72 | 67 | 59 | 66 | 66 | 59 | 61 | 61 | 56 | 53 | 0 | 50 | 65 | 23 | 1,050,000$/2yrs |
![]() | 0 | 100.00 | 54 | 54 | 54 | 69 | 64 | 54 | 66 | 54 | 58 | 55 | 65 | 60 | 55 | 0 | 50 | 59 | 25 | 750,000$/1yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Scott Stevens | 75 | 75 | 75 | 75 | 75 | 75 | 75 | USA | 59 | 5 | 0$ |
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 |
---|
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 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Dudas ![]() | C/LW | 23 | 791,667$ | 791,667$ | RFA | ||||||
Alex Galchenyuk ![]() | C/LW/RW | 29 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Alexander Khovanov ![]() | C | 23 | 894,167$ | 894,167$ | RFA | ||||||
Barrett Hayton ![]() | C/LW | 23 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ![]() | |||||
Blake McLaughlin ![]() | C/LW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Carsen Twarynski ![]() | C/LW | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Casey Mittelstadt ![]() | C/LW | 24 | 2,500,000$ | 2,500,000$ | 2,500,000$ | ![]() | |||||
Evan Fitzpatrick ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Filip Chytil ![]() | C/LW | 24 | 2,300,000$ | 2,300,000$ | 4,437,500$ | 4,437,500$ | 4,437,500$ | 4,437,500$ | UFA | ||
Ivan Morozov ![]() | C | 23 | 1,562,500$ | 1,562,500$ | RFA | ||||||
Jack Studnicka ![]() | C/RW | 24 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Jaret Anderson-Dolan ![]() | C/LW/RW | 24 | 750,000$ | 750,000$ | 775,000$ | ![]() | |||||
Jayden Struble ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Jett Woo ![]() | D | 23 | 1,044,167$ | 1,044,167$ | RFA | ||||||
Justus Annunen ![]() | G | 23 | 1,050,000$ | 1,050,000$ | 775,000$ | ![]() | |||||
Lucas Johansen ![]() | D | 25 | 762,500$ | 762,500$ | 762,500$ | ![]() | |||||
Martin Kaut ![]() | RW | 24 | 1,288,333$ | 1,288,333$ | ![]() | ||||||
Matthew Strome ![]() | C/LW | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Mattias Samuelsson ![]() | D | 23 | 925,000$ | 925,000$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ | 4,285,714$ |
Morgan Frost ![]() | C | 24 | 800,000$ | 800,000$ | 2,100,000$ | 2,100,000$ | ![]() | ||||
Ozzy Wiesblatt ![]() | RW | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Ryan Suzuki ![]() | C | 22 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Sammy Walker ![]() | C/LW/RW | 24 | 750,000$ | 925,000$ | 925,000$ | ![]() | |||||
Sean Farrell ![]() | C/LW | 21 | 1,258,333$ | 1,258,333$ | 1,258,333$ | RFA | |||||
Seth Barton ![]() | D | 24 | 832,500$ | 832,500$ | ![]() | ||||||
Ty Emberson ![]() | D | 23 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Urho Vaakanainen ![]() | D | 24 | 850,000$ | 850,000$ | 850,000$ | ![]() | |||||
Victor Soderstrom ![]() | D | 22 | 1,523,833$ | 1,523,833$ | 1,523,833$ | RFA | |||||
Wyatt Bongiovanni ![]() | C | 24 | 802,500$ | 802,500$ | 802,500$ | ![]() | |||||
Wyatt Newpower ![]() | D | 25 | 800,000$ | 800,000$ | 775,000$ | ![]() | |||||
Xavier Simoneau ![]() | C/LW/RW | 22 | 855,000$ | 855,000$ | 855,000$ | RFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 |
0$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Springfield | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 20$ | 12$ | $ | $ | $ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 0$ | 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$ | 189 | 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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