![]() | Hartford Wolf Pack 0-0-0, 0pts · 2nd in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dalibor Dvorsky | 0 | C/RW | 100.00 | 69 | 41 | 79 | 71 | 79 | 77 | 70 | 71 | 62 | 66 | 68 | 63 | 70 | 55 | 50 | 1 | 50 | 66 | 21 | 975,000$/2yrs | |||
Noah Laba | 0 | C | 100.00 | 72 | 50 | 75 | 70 | 80 | 76 | 68 | 68 | 64 | 67 | 64 | 67 | 67 | 53 | 50 | 1 | 50 | 66 | 22 | ||||
Reid Schaefer | 0 | LW | 100.00 | 76 | 50 | 78 | 68 | 85 | 70 | 64 | 65 | 43 | 59 | 62 | 65 | 65 | 53 | 50 | 1 | 50 | 64 | 22 | 975,000$/1yrs | |||
Taylor Ward | 0 | RW | 100.00 | 65 | 52 | 74 | 67 | 77 | 75 | 67 | 67 | 43 | 63 | 61 | 63 | 65 | 57 | 50 | 1 | 50 | 63 | 28 | 1,100,000$/1yrs | |||
Brian Pinho | 0 | C/LW/RW | 100.00 | 57 | 41 | 74 | 66 | 61 | 73 | 72 | 65 | 43 | 62 | 59 | 58 | 63 | 65 | 55 | 1 | 50 | 62 | 31 | ||||
Joshua Roy | 0 | LW/RW | 100.00 | 60 | 42 | 72 | 69 | 65 | 65 | 62 | 66 | 44 | 62 | 62 | 58 | 66 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/1yrs | |||
Michael Pezzetta | 0 | LW | 100.00 | 72 | 54 | 66 | 63 | 75 | 69 | 68 | 62 | 42 | 56 | 56 | 58 | 60 | 60 | 52 | 1 | 50 | 60 | 28 | ||||
William Stromgren | 0 | LW/RW | 100.00 | 59 | 43 | 68 | 66 | 65 | 65 | 63 | 64 | 44 | 65 | 56 | 58 | 62 | 51 | 50 | 1 | 50 | 60 | 23 | 975,000$/2yrs | |||
Oskar Olausson | 0 | RW | 100.00 | 58 | 42 | 72 | 66 | 63 | 64 | 62 | 63 | 42 | 60 | 56 | 55 | 62 | 51 | 50 | 1 | 50 | 59 | 23 | ||||
Devin Kaplan | 0 | RW | 100.00 | 59 | 44 | 65 | 63 | 72 | 69 | 61 | 61 | 41 | 56 | 55 | 55 | 60 | 50 | 50 | 1 | 50 | 58 | 22 | 921,667$/1yrs | |||
Logan Brown | 0 | C | 100.00 | 64 | 40 | 71 | 57 | 71 | 65 | 63 | 59 | 47 | 59 | 52 | 59 | 56 | 56 | 50 | 1 | 50 | 58 | 28 | 1,280,000$/1yrs | |||
Niko Huuhtanen | 0 | RW | 100.00 | 60 | 41 | 57 | 58 | 60 | 56 | 55 | 55 | 41 | 52 | 51 | 57 | 54 | 50 | 50 | 1 | 50 | 54 | 23 | 867,500$/1yrs | |||
Donovan Sebrango | 0 | D | 100.00 | 68 | 65 | 59 | 70 | 79 | 76 | 68 | 66 | 40 | 63 | 59 | 69 | 65 | 55 | 50 | 1 | 50 | 66 | 24 | ||||
Gustav Lindström | 0 | D | 100.00 | 66 | 43 | 72 | 70 | 70 | 74 | 70 | 63 | 40 | 59 | 59 | 69 | 64 | 70 | 54 | 1 | 50 | 65 | 27 | 1,000,000$/2yrs | |||
Tobie Bisson | 0 | D | 100.00 | 63 | 42 | 72 | 66 | 66 | 70 | 68 | 61 | 40 | 55 | 54 | 68 | 60 | 59 | 52 | 1 | 50 | 62 | 29 | 1,000,000$/2yrs | |||
Luke Rowe | 0 | D | 100.00 | 63 | 51 | 60 | 66 | 64 | 68 | 66 | 60 | 40 | 55 | 53 | 68 | 60 | 55 | 50 | 1 | 50 | 61 | 27 | 1,000,000$/2yrs | |||
Jack Millar | 0 | D | 100.00 | 68 | 41 | 71 | 62 | 71 | 64 | 61 | 58 | 40 | 54 | 51 | 68 | 57 | 52 | 50 | 1 | 50 | 61 | 25 | 1,000,000$/2yrs | |||
Mark Friedman | 0 | D | 100.00 | 55 | 41 | 63 | 61 | 57 | 63 | 60 | 56 | 40 | 55 | 52 | 62 | 55 | 62 | 52 | 1 | 50 | 58 | 30 | 1,425,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Beckett Sennecke (R) | 0 | RW | 100.00 | 72 | 42 | 66 | 77 | 84 | 86 | 73 | 86 | 44 | 80 | 79 | 66 | 81 | 54 | 50 | 1 | 50 | 74 | 20 | ||||
Nick Lardis (R) | 0 | LW/RW | 100.00 | 66 | 40 | 79 | 77 | 71 | 81 | 64 | 70 | 42 | 64 | 69 | 60 | 72 | 54 | 50 | 1 | 50 | 66 | 20 | ||||
Isaac Howard (R) | 0 | LW | 100.00 | 60 | 40 | 79 | 73 | 74 | 78 | 64 | 66 | 40 | 62 | 62 | 60 | 67 | 54 | 50 | 1 | 50 | 63 | 22 | ||||
Noel Nordh (R) | 0 | LW | 100.00 | 61 | 41 | 72 | 61 | 65 | 62 | 61 | 60 | 42 | 60 | 60 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 21 | ||||
Jackson Hallum (R) | 0 | LW | 100.00 | 58 | 42 | 61 | 64 | 60 | 61 | 59 | 58 | 41 | 56 | 53 | 57 | 58 | 51 | 50 | 1 | 50 | 57 | 23 | ||||
Michael Milne | 0 | LW | 100.00 | 55 | 43 | 65 | 65 | 63 | 62 | 60 | 59 | 42 | 53 | 53 | 51 | 59 | 51 | 50 | 1 | 50 | 56 | 23 | ||||
Raivis Ansons | 0 | LW | 100.00 | 61 | 41 | 68 | 63 | 64 | 62 | 59 | 55 | 41 | 51 | 51 | 55 | 56 | 52 | 50 | 1 | 50 | 56 | 24 | ||||
Matt Filipe | 0 | LW | 100.00 | 54 | 41 | 59 | 54 | 57 | 58 | 57 | 53 | 40 | 51 | 52 | 52 | 53 | 54 | 50 | 1 | 50 | 53 | 28 | 975,000$/1yrs | |||
Lucas Edmonds | 0 | RW | 100.00 | 52 | 40 | 65 | 60 | 53 | 57 | 55 | 53 | 41 | 51 | 51 | 52 | 54 | 52 | 50 | 1 | 50 | 53 | 25 | ||||
Ryder Korczak | 0 | C | 100.00 | 53 | 41 | 65 | 59 | 54 | 57 | 56 | 54 | 41 | 52 | 51 | 52 | 54 | 50 | 50 | 1 | 50 | 53 | 23 | ||||
Caden Price (R) | 0 | D | 100.00 | 62 | 41 | 70 | 66 | 64 | 60 | 60 | 60 | 40 | 60 | 60 | 65 | 60 | 50 | 50 | 1 | 50 | 61 | 20 | ||||
Mattias Havelid (R) | 0 | D | 100.00 | 60 | 41 | 70 | 70 | 60 | 62 | 61 | 61 | 40 | 60 | 60 | 62 | 62 | 50 | 50 | 1 | 50 | 61 | 22 | ||||
Artem Guryev (R) | 0 | D | 100.00 | 60 | 40 | 66 | 58 | 66 | 56 | 54 | 51 | 40 | 50 | 50 | 58 | 53 | 51 | 50 | 1 | 50 | 56 | 23 | ||||
Daniil Chayka | 0 | D | 100.00 | 54 | 40 | 60 | 58 | 59 | 54 | 53 | 52 | 40 | 51 | 50 | 54 | 52 | 50 | 50 | 1 | 50 | 54 | 23 | ||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Isaac Poulter | 0 | 100.00 | 68 | 58 | 60 | 61 | 63 | 63 | 65 | 62 | 65 | 64 | 55 | 52 | 50 | 1 | 50 | 58 | 24 | 1,435,000$/1yrs |
Nick Grabko | 0 | 100.00 | 61 | 58 | 57 | 62 | 59 | 56 | 56 | 54 | 56 | 59 | 54 | 52 | 50 | 1 | 50 | 53 | 26 | |
| Scratches | ||||||||||||||||||||
Carson Bjarnason | 0 | 100.00 | 63 | 59 | 64 | 66 | 65 | 65 | 67 | 63 | 66 | 64 | 62 | 50 | 50 | 1 | 50 | 59 | 21 | |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dan Lambert | 75 | 73 | 68 | 74 | 61 | 57 | 1 | CAN | 56 | 3 | 500,000$ |
| 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 |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Artem Guryev | D | 23 | 0$ | RFA | |||||||
| Beckett Sennecke | RW | 20 | 942,500$ | RFA | |||||||
| Brian Pinho | C/LW/RW | 31 | 0$ | UFA | |||||||
| Caden Price | D | 20 | 885,833$ | RFA | |||||||
| Carson Bjarnason | G | 21 | 975,000$ | RFA | |||||||
| Dalibor Dvorsky | C/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Daniil Chayka | D | 23 | 0$ | RFA | |||||||
| Devin Kaplan | RW | 22 | 921,667$ | 975,000$ | RFA | ||||||
| Donovan Sebrango | D | 24 | 0$ | ||||||||
| Gustav Lindström | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Isaac Howard | LW | 22 | 950,000$ | RFA | |||||||
| Isaac Poulter | G | 24 | 1,435,000$ | 1,435,000$ | |||||||
| Jack Millar | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Jackson Hallum | LW | 23 | 933,750$ | RFA | |||||||
| Joshua Roy | LW/RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Logan Brown | C | 28 | 1,280,000$ | 1,280,000$ | UFA | ||||||
| Lucas Edmonds | RW | 25 | 0$ | ||||||||
| Luke Rowe | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Mark Friedman | D | 30 | 1,425,000$ | 1,425,000$ | UFA | ||||||
| Matt Filipe | LW | 28 | 975,000$ | 975,000$ | UFA | ||||||
| Mattias Havelid | D | 22 | 921,667$ | RFA | |||||||
| Michael Milne | LW | 23 | 0$ | RFA | |||||||
| Michael Pezzetta | LW | 28 | 0$ | UFA | |||||||
| Nick Grabko | G | 26 | 0$ | ||||||||
| Nick Lardis | LW/RW | 20 | 890,000$ | RFA | |||||||
| Niko Huuhtanen | RW | 23 | 867,500$ | 975,000$ | RFA | ||||||
| Noah Laba | C | 22 | 0$ | RFA | |||||||
| Noel Nordh | LW | 21 | 885,000$ | RFA | |||||||
| Oskar Olausson | RW | 23 | 0$ | RFA | |||||||
| Raivis Ansons | LW | 24 | 0$ | ||||||||
| Reid Schaefer | LW | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Ryder Korczak | C | 23 | 0$ | RFA | |||||||
| Taylor Ward | RW | 28 | 1,100,000$ | 1,100,000$ | UFA | ||||||
| Tobie Bisson | D | 29 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| William Stromgren | LW/RW | 23 | 975,000$ | 975,000$ | 975,000$ |
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 0 |
| Neutral Zone | 0 |
| Defensive Zone | 0 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | 0 |
| Without Puck | 0 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 0.0 | 9.57 |
| 2nd Period | 0.0 | 20.31 |
| 3rd Period | 0.0 | 30.68 |
| Overtime | 0.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.0 | 0.64 |
| 2nd Period | 0.0 | 1.65 |
| 3rd Period | 0.0 | 2.67 |
| Overtime | 0.0 | 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 | 0.0 |
| Shots Against | 0.0 |
| Goals For | 0.0 |
| Goals Against | 0.0 |
| Hits | 0.0 |
| Shots Blocked | 0.0 |
| Pim | 0.0 |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,606,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Hartford | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| 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 |
| 1,606,500$ | 1,606,500$ | 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 |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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