| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 |
| GM: Mike Bell | League Rank:21st | Arena: Scranton Arena |
| Conference: Eastern Conference | Conference Rank:10th | Capacity:3,000 |
| Division: Atlantic | Division Rank:4th | Total Player Salaries:1,774,134$ |
| Captain: Loughlin Dowe | Last 10: 0-0-0 | |
| Coach: Chuck Miller | Home: 0-0-0 | |
| All-Time Record: 222 W - 139 L - 39 OTL | Away: 0-0-0 | |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Loughlin Dowe (C) | 0 | RW | 100.00 | 55 | 62 | 71 | 80 | 94 | 98 | 64 | 62 | 93 | 72 | 88 | 57 | 78 | 89 | 98 | 58 | 50 | 76 | 24 | 1,750,000$/4yrs | |||
Anthony Heintze | 4 | C | 100.00 | 88 | 63 | 75 | 61 | 82 | 82 | 85 | 88 | 79 | 88 | 47 | 54 | 46 | 54 | 73 | 0 | 50 | 75 | 34 | ||||
Forester OCorley | 9 | RW | 100.00 | 61 | 58 | 84 | 94 | 79 | 80 | 83 | 52 | 91 | 56 | 92 | 66 | 61 | 42 | 57 | 13 | 50 | 75 | 32 | ||||
Horst Kolar (R) | 0 | LW | 100.00 | 82 | 70 | 69 | 63 | 76 | 83 | 89 | 91 | 75 | 51 | 89 | 72 | 86 | 63 | 71 | 57 | 50 | 75 | 18 | 900,000$/2yrs | |||
Anton Alekhin (A) | 48 | LW | 100.00 | 37 | 58 | 91 | 83 | 92 | 75 | 82 | 64 | 92 | 64 | 76 | 55 | 34 | 83 | 52 | 15 | 50 | 73 | 32 | 1,300,000$/1yrs | |||
Maitland Mcclerey | 90 | C | 100.00 | 47 | 53 | 95 | 88 | 44 | 69 | 91 | 68 | 90 | 80 | 97 | 34 | 58 | 41 | 53 | 0 | 50 | 73 | 36 | ||||
Maxx Wilcox (R) | 55 | RW | 100.00 | 92 | 60 | 68 | 63 | 92 | 76 | 58 | 82 | 50 | 77 | 89 | 46 | 52 | 51 | 29 | 66 | 50 | 73 | 22 | 800,000$/1yrs | |||
Aleksandr Krutikov | 13 | RW | 100.00 | 51 | 63 | 69 | 75 | 52 | 55 | 88 | 96 | 86 | 94 | 41 | 66 | 33 | 40 | 69 | 0 | 50 | 72 | 36 | ||||
Patrick Ehn | 33 | C | 100.00 | 32 | 38 | 98 | 92 | 88 | 66 | 66 | 62 | 72 | 88 | 75 | 33 | 40 | 65 | 72 | 12 | 50 | 72 | 32 | 852,697$/2yrs | |||
Sawyer Sagert (R) (A) | 59 | RW | 100.00 | 83 | 62 | 63 | 63 | 77 | 69 | 68 | 73 | 65 | 52 | 92 | 96 | 62 | 74 | 89 | 61 | 50 | 72 | 22 | 800,000$/1yrs | |||
Motoichi Marugo | 56 | LW | 100.00 | 44 | 42 | 93 | 94 | 61 | 83 | 63 | 68 | 87 | 57 | 79 | 52 | 91 | 49 | 61 | 26 | 50 | 70 | 30 | ||||
Ruslan Pohe (R) | 58 | C | 100.00 | 35 | 60 | 73 | 63 | 86 | 70 | 78 | 77 | 76 | 50 | 47 | 73 | 57 | 79 | 87 | 68 | 50 | 66 | 22 | 900,000$/2yrs | |||
Grayson Jambrosich | 47 | D | 100.00 | 74 | 66 | 73 | 92 | 90 | 66 | 67 | 67 | 25 | 69 | 50 | 76 | 34 | 64 | 64 | 2 | 50 | 74 | 34 | ||||
Steve Taschuk (R) | 61 | D | 100.00 | 98 | 44 | 73 | 60 | 53 | 83 | 66 | 80 | 25 | 87 | 47 | 98 | 37 | 57 | 43 | 62 | 50 | 74 | 22 | 800,000$/1yrs | |||
Christian Cannan | 5 | D | 100.00 | 51 | 35 | 95 | 83 | 77 | 62 | 74 | 87 | 25 | 71 | 52 | 76 | 74 | 36 | 84 | 10 | 50 | 70 | 33 | ||||
Kirill Lysenko (R) | 0 | D | 100.00 | 61 | 27 | 59 | 60 | 68 | 88 | 94 | 57 | 25 | 45 | 43 | 99 | 90 | 52 | 81 | 71 | 50 | 69 | 21 | 985,000$/3yrs | |||
Burke Shively | 4 | D | 100.00 | 39 | 49 | 62 | 86 | 92 | 54 | 48 | 89 | 25 | 65 | 46 | 77 | 85 | 59 | 80 | 16 | 50 | 67 | 31 | ||||
Helge Welin | 35 | D | 100.00 | 59 | 55 | 65 | 83 | 65 | 54 | 50 | 68 | 25 | 69 | 70 | 80 | 58 | 85 | 76 | 17 | 50 | 66 | 30 | 733,388$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Keven Spittel | 0 | RW | 100.00 | 47 | 49 | 68 | 77 | 82 | 55 | 90 | 76 | 97 | 47 | 94 | 46 | 78 | 67 | 69 | 1 | 50 | 70 | 35 | 740,000$/1yrs | |||
Tomas Lauckner | 63 | LW | 100.00 | 84 | 39 | 62 | 55 | 55 | 67 | 49 | 60 | 89 | 73 | 85 | 90 | 71 | 80 | 46 | 42 | 50 | 69 | 27 | ||||
Vili-Antti Nevakivi | 34 | LW | 100.00 | 71 | 61 | 81 | 80 | 88 | 62 | 76 | 75 | 59 | 44 | 73 | 67 | 44 | 67 | 56 | 54 | 50 | 69 | 25 | 1,500,000$/2yrs | |||
Konrad Sadri | 0 | C | 100.00 | 37 | 58 | 93 | 71 | 54 | 80 | 49 | 59 | 98 | 74 | 85 | 51 | 50 | 46 | 52 | 17 | 50 | 67 | 32 | ||||
Terrance Fanelli (R) | 62 | LW | 100.00 | 28 | 54 | 93 | 95 | 56 | 65 | 82 | 67 | 44 | 58 | 75 | 58 | 69 | 68 | 67 | 59 | 50 | 67 | 23 | 900,000$/3yrs | |||
Reece Driedger (R) | 0 | D | 100.00 | 79 | 45 | 65 | 90 | 81 | 62 | 64 | 77 | 25 | 72 | 66 | 81 | 86 | 36 | 43 | 61 | 50 | 74 | 22 | 1,000,000$/1yrs | |||
Brayden Calkins (R) | 41 | D | 100.00 | 82 | 60 | 62 | 79 | 69 | 76 | 50 | 85 | 25 | 51 | 66 | 56 | 58 | 65 | 95 | 61 | 50 | 67 | 22 | ||||
Barys Kupava (R) | 0 | D | 100.00 | 60 | 49 | 63 | 80 | 63 | 85 | 59 | 53 | 25 | 58 | 34 | 83 | 41 | 53 | 66 | 62 | 50 | 66 | 21 | 747,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tobias Westman | 32 | 100.00 | 98 | 60 | 66 | 71 | 56 | 55 | 99 | 72 | 89 | 83 | 82 | 96 | 90 | 23 | 50 | 75 | 30 | 1,433,250$/1yrs |
Irving Nickens | 33 | 100.00 | 60 | 85 | 76 | 81 | 99 | 99 | 62 | 77 | 53 | 59 | 51 | 81 | 30 | 41 | 50 | 75 | 25 | 1,600,000$/4yrs |
| Scratches | ||||||||||||||||||||
Albert Brkljaca | 30 | 100.00 | 67 | 69 | 88 | 70 | 62 | 54 | 94 | 55 | 63 | 70 | 87 | 97 | 84 | 42 | 50 | 69 | 27 | |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Chuck Miller | 94 | 78 | 81 | 71 | 51 | 41 | 82 | USA | 47 | 3 | 600,000$ | |||||||||||||||||||||||||||||||||||||||||||||||
| General Manager | Mike Bell |
|---|
| 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 | MPG | 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 | 6-7 | 7 | 8 | 9 | 10 | 11 | 12 | 13 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Albert Brkljaca ![]() | G | 27 | 0$ | 0$ | |||||||
Aleksandr Krutikov ![]() | RW | 36 | 0$ | 0$ | |||||||
Anthony Heintze ![]() | C | 34 | 0$ | 0$ | |||||||
Anton Alekhin ![]() | LW | 32 | 1,300,000$ | 1,300,000$ | |||||||
Barys Kupava | D | 21 | 747,000$ | 747,000$ | 747,000$ | ||||||
Brayden Calkins | D | 22 | 0$ | 0$ | |||||||
Burke Shively ![]() | D | 31 | 0$ | 0$ | |||||||
Christian Cannan ![]() | D | 33 | 0$ | 0$ | |||||||
Forester OCorley ![]() | RW | 32 | 0$ | 0$ | |||||||
Grayson Jambrosich ![]() | D | 34 | 0$ | 0$ | |||||||
Helge Welin ![]() | D | 30 | 733,388$ | 733,388$ | |||||||
Horst Kolar | LW | 18 | 900,000$ | 900,000$ | 900,000$ | ||||||
Irving Nickens ![]() | G | 25 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||
Keven Spittel ![]() | RW | 35 | 740,000$ | 740,000$ | |||||||
Kirill Lysenko | D | 21 | 985,000$ | 985,000$ | 985,000$ | 985,000$ | |||||
Konrad Sadri ![]() | C | 32 | 0$ | 0$ | |||||||
Loughlin Dowe | RW | 24 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | ||||
Maitland Mcclerey ![]() | C | 36 | 0$ | 0$ | |||||||
Maxx Wilcox | RW | 22 | 800,000$ | 800,000$ | |||||||
Motoichi Marugo ![]() | LW | 30 | 0$ | 0$ | |||||||
Patrick Ehn ![]() | C | 32 | 852,697$ | 852,697$ | 852,697$ | ||||||
Reece Driedger | D | 22 | 1,000,000$ | 1,000,000$ | |||||||
Ruslan Pohe | C | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Sawyer Sagert | RW | 22 | 800,000$ | 800,000$ | |||||||
Steve Taschuk | D | 22 | 800,000$ | 800,000$ | |||||||
Terrance Fanelli | LW | 23 | 900,000$ | 900,000$ | 900,000$ | 900,000$ | |||||
Tobias Westman ![]() | G | 30 | 1,433,250$ | 1,433,250$ | |||||||
Tomas Lauckner ![]() | LW | 27 | 0$ | 0$ | |||||||
Vili-Antti Nevakivi ![]() | LW | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ |
| 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 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 1,774,134$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Scranton | |
| 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 |
| 40 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 1,774,134$ | 1,774,134$ | 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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