| Full Scoreboard »» |
 | Hartford Wolf Pack 0-0-0, 0pts · 13th in EASTERN CONFERENCE |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Matt Nieto | 0 | LW/RW | 100.00 | 56 | 27 | 95 | 84 | 69 | 72 | 82 | 81 | 25 | 72 | 73 | 73 | 71 | 99 | 99 | 28 | 50 | 72 | 32 | 1,500,000$/1yrs | |||
 Lukas Sedlak | 45 | C/LW | 100.00 | 62 | 47 | 87 | 83 | 77 | 74 | 82 | 79 | 83 | 66 | 67 | 75 | 70 | 99 | 99 | 31 | 50 | 72 | 32 | 950,000$/2yrs | |||
 Matt Lorito | 0 | LW/RW | 100.00 | 51 | 28 | 96 | 76 | 61 | 81 | 73 | 81 | 25 | 75 | 73 | 83 | 66 | 99 | 99 | 12 | 50 | 72 | 34 | 1,500,000$/1yrs | |||
 Noah Gregor | 0 | LW/RW | 100.00 | 94 | 92 | 56 | 92 | 72 | 75 | 84 | 77 | 75 | 69 | 67 | 74 | 35 | 85 | 81 | 61 | 50 | 72 | 26 | 2,000,000$/1yrs | |||
 Matt Savoie (R) | 93 | C/LW/RW | 100.00 | 47 | 40 | 91 | 89 | 65 | 80 | 95 | 79 | 77 | 74 | 73 | 69 | 70 | 56 | 56 | 84 | 50 | 71 | 21 | 1,200,000$/6yrs | |||
 Adam Fantilli (R) | 0 | C | 100.00 | 65 | 60 | 51 | 83 | 77 | 80 | 76 | 77 | 81 | 71 | 71 | 79 | 74 | 52 | 52 | 88 | 50 | 69 | 20 | 925,000$/2yrs | |||
 Brayden Yager (R) | 0 | C | 100.00 | 47 | 40 | 89 | 83 | 63 | 83 | 95 | 78 | 80 | 73 | 68 | 67 | 71 | 50 | 50 | 90 | 50 | 68 | 20 | 925,000$/3yrs | |||
 Brett Hyland (R) | 0 | C/LW | 100.00 | 66 | 62 | 62 | 81 | 86 | 74 | 82 | 69 | 58 | 56 | 69 | 71 | 71 | 55 | 55 | 89 | 50 | 66 | 22 | 925,000$/1yrs | |||
 Jacob Julien (R) | 0 | C | 100.00 | 56 | 52 | 78 | 78 | 73 | 78 | 95 | 67 | 74 | 63 | 59 | 69 | 62 | 54 | 54 | 90 | 50 | 65 | 20 | 925,000$/3yrs | |||
 Jordan Dumais (R) (A) | 69 | RW | 100.00 | 41 | 33 | 98 | 91 | 60 | 78 | 95 | 69 | 63 | 66 | 62 | 69 | 66 | 48 | 48 | 89 | 50 | 65 | 20 | 940,000$/1yrs | |||
 Bryce McConnell-Barker (R) | 0 | C | 100.00 | 50 | 44 | 92 | 83 | 71 | 78 | 95 | 67 | 70 | 62 | 62 | 66 | 63 | 54 | 54 | 86 | 50 | 65 | 20 | 925,000$/1yrs | |||
 Brad Lambert (R) | 0 | C/RW | 100.00 | 47 | 40 | 89 | 84 | 64 | 71 | 66 | 72 | 75 | 66 | 67 | 66 | 71 | 55 | 55 | 89 | 50 | 65 | 21 | 925,000$/2yrs | |||
 Mason Geertsen | 0 | D | 100.00 | 81 | 70 | 64 | 67 | 82 | 69 | 72 | 78 | 25 | 62 | 55 | 82 | 52 | 95 | 95 | 58 | 50 | 72 | 29 | 2,000,000$/1yrs | |||
 Kaiden Guhle (R) | 0 | D | 100.00 | 85 | 62 | 79 | 81 | 79 | 81 | 62 | 78 | 25 | 68 | 55 | 87 | 25 | 62 | 62 | 76 | 50 | 72 | 23 | 863,333$/1yrs | |||
 Connor Clifton | 0 | D | 100.00 | 96 | 77 | 61 | 78 | 71 | 76 | 66 | 67 | 25 | 56 | 53 | 74 | 45 | 91 | 91 | 50 | 50 | 71 | 29 | 700,000$/1yrs | |||
 Arber Xhekaj | 0 | D | 100.00 | 98 | 99 | 48 | 76 | 96 | 67 | 68 | 63 | 25 | 52 | 50 | 80 | 25 | 52 | 52 | 47 | 50 | 68 | 24 | 2,150,000$/4yrs | |||
 Dmitri Samorukov | 0 | D | 100.00 | 51 | 48 | 96 | 89 | 74 | 71 | 95 | 56 | 25 | 56 | 46 | 66 | 42 | 72 | 72 | 73 | 50 | 66 | 25 | 700,000$/1yrs | |||
 Michael Buchinger (R) | 0 | D | 100.00 | 54 | 49 | 76 | 79 | 86 | 73 | 95 | 58 | 25 | 63 | 43 | 70 | 45 | 52 | 52 | 88 | 50 | 65 | 20 | 925,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
 Danila Yurov (R) | 0 | C/RW | 100.00 | 47 | 41 | 91 | 80 | 64 | 78 | 95 | 68 | 63 | 63 | 60 | 64 | 63 | 58 | 58 | 80 | 50 | 64 | 21 | 925,000$/3yrs | |||
 Sam Hentges | 0 | C | 100.00 | 54 | 48 | 77 | 86 | 66 | 57 | 79 | 62 | 59 | 52 | 62 | 64 | 68 | 71 | 71 | 69 | 50 | 62 | 25 | 850,000$/1yrs | |||
 David Jiricek (R) | 55 | D | 100.00 | 65 | 63 | 67 | 81 | 82 | 58 | 81 | 51 | 25 | 49 | 43 | 79 | 45 | 52 | 52 | 87 | 50 | 64 | 21 | 1,000,000$/5yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Scott Wedgewood | 36 | 100.00 | 73 | 70 | 74 | 78 | 75 | 92 | 91 | 90 | 92 | 73 | 69 | 95 | 99 | 34 | 50 | 82 | 32 | 1,500,000$/2yrs |
 Luke Opilka | 0 | 100.00 | 70 | 73 | 66 | 73 | 70 | 95 | 94 | 95 | 95 | 72 | 74 | 90 | 93 | 42 | 50 | 82 | 28 | 2,999,999$/5yrs |
| Scratches | ||||||||||||||||||||
 Jonathan Bernier | 45 | 100.00 | 81 | 86 | 82 | 70 | 77 | 84 | 86 | 84 | 84 | 82 | 86 | 95 | 99 | 1 | 50 | 82 | 36 | 700,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| 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 | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|
| 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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Player Name | POS | Age | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|
Adam Fantilli  | C | 20 | $925,000 | $925,000 | ||||||
| Arber Xhekaj | D | 24 | $2,150,000 | $2,150,000 | $2,150,000 | $2,150,000 | ||||
| Brad Lambert | C/RW | 21 | $925,000 | $925,000 | ||||||
| Brayden Yager | C | 20 | $925,000 | $925,000 | $925,000 | |||||
| Brett Hyland | C/LW | 22 | $925,000 | |||||||
| Bryce McConnell-Barker | C | 20 | $925,000 | |||||||
| Connor Clifton | D | 29 | $700,000 | |||||||
| Danila Yurov | C/RW | 21 | $925,000 | $925,000 | $925,000 | |||||
| David Jiricek | D | 21 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | |||
| Dmitri Samorukov | D | 25 | $700,000 | |||||||
| Jacob Julien | C | 20 | $925,000 | $925,000 | $925,000 | |||||
| Jonathan Bernier | G | 36 | $700,000 | |||||||
| Jordan Dumais | RW | 20 | $940,000 | |||||||
| Kaiden Guhle | D | 23 | $863,333 | |||||||
| Lukas Sedlak | C/LW | 32 | $950,000 | $950,000 | ||||||
| Luke Opilka | G | 28 | $2,999,999 | $2,999,999 | $2,999,999 | $2,999,999 | $2,999,999 | |||
| Mason Geertsen | D | 29 | $2,000,000 | |||||||
| Matt Lorito | LW/RW | 34 | $1,500,000 | |||||||
| Matt Nieto | LW/RW | 32 | $1,500,000 | |||||||
| Matt Savoie | C/LW/RW | 21 | $1,200,000 | $1,200,000 | $1,200,000 | $1,200,000 | $1,200,000 | $1,200,000 | ||
| Michael Buchinger | D | 20 | $925,000 | |||||||
| Noah Gregor | LW/RW | 26 | $2,000,000 | |||||||
| Sam Hentges | C | 25 | $850,000 | |||||||
| Scott Wedgewood | G | 32 | $1,500,000 | $1,500,000 |
| Forward Lines | |||||||
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| Goalies | |||||||
|---|---|---|---|---|---|---|---|
| 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 | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Fri, Mar 21 |  HFD | @ |  UTA | |||||||||||
| Sun, Mar 23 | UTA | @ | HFD | |||||||||||
| Tue, Mar 25 |  RCK | @ | HFD | |||||||||||
| Fri, Mar 28 |  SYR | @ | HFD | |||||||||||
| Sat, Mar 29 | HFD | @ | UTA | |||||||||||
| Tue, Apr 1 |  QUE | @ | HFD | |||||||||||
| Fri, Apr 4 | HFD | @ | UTA | |||||||||||
| Sat, Apr 5 |  PRO | @ | HFD | |||||||||||
| Mon, Apr 7 | HFD | @ | RCK | |||||||||||
| Wed, Apr 9 | HFD | @ |  MAN | |||||||||||
| Fri, Apr 11 |  GRP | @ | HFD | |||||||||||
| Mon, Apr 14 |  SDG | @ | HFD | |||||||||||
| Wed, Apr 16 | HFD | @ |  CLE | |||||||||||
| Thu, Apr 17 | HFD | @ |  IOW | |||||||||||
| Sun, Apr 20 |  CVF | @ | HFD | |||||||||||
| Wed, Apr 23 | HFD | @ |  TEX | |||||||||||
| Fri, Apr 25 |  UTI | @ | HFD | |||||||||||
| Sun, Apr 27 | HFD | @ | GRP | |||||||||||
| Mon, Apr 28 |  BRP | @ | HFD | |||||||||||
| Thu, May 1 | HFD | @ | CVF | |||||||||||
| Sat, May 3 | MAN | @ | HFD | |||||||||||
| Mon, May 5 | HFD | @ |  LAV | |||||||||||
| Wed, May 7 | QUE | @ | HFD | |||||||||||
| Fri, May 9 | HFD | @ |  LVP | |||||||||||
| Sun, May 11 | HFD | @ |  RCH | |||||||||||
| Tue, May 13 | SYR | @ | HFD | |||||||||||
| Thu, May 15 | HFD | @ |  SJB | |||||||||||
| Sat, May 17 | PRO | @ | HFD | |||||||||||
| Mon, May 19 | HFD | @ |  MIL | |||||||||||
| Wed, May 21 | SJB | @ | HFD | |||||||||||
| Sat, May 24 | HFD | @ | MIL | |||||||||||
| Mon, May 26 |  CGY | @ | HFD | |||||||||||
| Wed, May 28 | HFD | @ | TEX | |||||||||||
| Fri, May 30 | CVF | @ | HFD | |||||||||||
| Sun, Jun 1 | HFD | @ | SJB | |||||||||||
| Mon, Jun 2 | HFD | @ |  BEL | |||||||||||
| Wed, Jun 4 |  HER | @ | HFD | |||||||||||
| Sat, Jun 7 | HFD | @ | QUE | |||||||||||
| Sun, Jun 8 | LVP | @ | HFD | |||||||||||
| Wed, Jun 11 | HFD | @ |  HEN | |||||||||||
| Thu, Jun 12 |  COL | @ | HFD | |||||||||||
| Sun, Jun 15 | GRP | @ | HFD | |||||||||||
| Tue, Jun 17 | HFD | @ |  SPR | |||||||||||
| Thu, Jun 19 | HFD | @ |  WBS | |||||||||||
| Sat, Jun 21 | WBS | @ | HFD | |||||||||||
| Mon, Jun 23 | HFD | @ | HER | |||||||||||
| Wed, Jun 25 | HFD | @ | RCK | |||||||||||
| Thu, Jun 26 | SPR | @ | HFD | |||||||||||
| Sat, Jun 28 | CLE | @ | HFD | |||||||||||
| Tue, Jul 1 | HFD | @ | COL | |||||||||||
| Thu, Jul 3 | HFD | @ | SDG | |||||||||||
| Sat, Jul 5 | TEX | @ | HFD | |||||||||||
| Mon, Jul 7 | HFD | @ |  ONT | |||||||||||
| Tue, Jul 8 | HEN | @ | HFD | |||||||||||
| Thu, Jul 10 | HFD | @ | UTA | |||||||||||
| Sun, Jul 13 |  TOR | @ | HFD | |||||||||||
| Tue, Jul 15 | HFD | @ | SDG | |||||||||||
| Wed, Jul 16 |  CHA | @ | HFD | |||||||||||
| Sat, Jul 19 | HFD | @ |  ABB | |||||||||||
| Sun, Jul 20 | IOW | @ | HFD | |||||||||||
| Tue, Jul 22 | HFD | @ | PRO | |||||||||||
| Thu, Jul 24 |  BAK | @ | HFD | |||||||||||
| Sat, Jul 26 | HFD | @ | BAK | |||||||||||
| Sun, Jul 27 | HFD | @ | CLE | |||||||||||
| Tue, Jul 29 | RCH | @ | HFD | |||||||||||
| Sat, Aug 2 | MIL | @ | HFD | |||||||||||
| Mon, Aug 4 | HFD | @ | MAN | |||||||||||
| Wed, Aug 6 | HFD | @ | IOW | |||||||||||
| Thu, Aug 7 | COL | @ | HFD | |||||||||||
| Sat, Aug 9 | HFD | @ | PRO | |||||||||||
| Mon, Aug 11 | HFD | @ | BRP | |||||||||||
| Tue, Aug 12 | SDG | @ | HFD | |||||||||||
| Sat, Aug 16 | UTA | @ | HFD | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Wed, Aug 20 | SPR | @ | HFD | |||||||||||
| Thu, Aug 21 | HFD | @ | CGY | |||||||||||
| Mon, Aug 25 | RCK | @ | HFD | |||||||||||
| Fri, Aug 29 | ONT | @ | HFD | |||||||||||
| Tue, Sep 2 | HFD | @ | BAK | |||||||||||
| Thu, Sep 4 | ONT | @ | HFD | |||||||||||
| Tue, Sep 9 | RCH | @ | HFD | |||||||||||
| Thu, Sep 11 | HFD | @ | CGY | |||||||||||
| Sun, Sep 14 | UTA | @ | HFD | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| $2,895,333 | $0 | $0 | $75,000,000 |
| Arena | About us | |
|---|---|---|
| Name | Madison Square Garden |
| City | Hartford | |
| Capacity | 9000 | |
| Season Ticket Holders | 30% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
 |
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 |
 |
 |
 |
| Arena Capacity | 6000 | 3000 | |||
| Ticket Price | $25 | $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 | 9000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| $2,895,333 | $2,895,333 | $0 | $0 |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| $15,996 | $0 | $15,996 | $0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| $0 | 188 | $15,996 | $2,879,280 |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| $2,879,280 | $0 | $0 | $0 |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
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Rookie
Injured 
Cold Streak 
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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Website created by the SimonT Hockey Simulator (STHS) for Russ Walsh - The database was created : 3/22/2025 9:44:24 AM | ||||||||||||||||||||||||||||||||
