| GP | W | L | OT | Pts |
|---|---|---|---|---|
| 0 | 0 | 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Yannick Berard | 96 | RW | 100.00 | 34 | 41 | 98 | 58 | 99 | 99 | 64 | 99 | 76 | 99 | 42 | 56 | 74 | 35 | 90 | 33 | 50 | 77 | 30 | 1,310,000$/1yrs | |||
Joel Quintal | 22 | RW | 100.00 | 98 | 58 | 80 | 89 | 63 | 72 | 89 | 64 | 85 | 65 | 91 | 59 | 75 | 95 | 49 | 57 | 50 | 76 | 23 | 1,600,000$/2yrs | |||
Lennox Henry | 40 | RW | 100.00 | 73 | 59 | 61 | 90 | 76 | 99 | 52 | 80 | 83 | 93 | 51 | 53 | 45 | 82 | 75 | 26 | 50 | 75 | 30 | 1,750,000$/5yrs | |||
Jonah Lakovic | 47 | LW | 100.00 | 99 | 64 | 86 | 65 | 47 | 74 | 76 | 99 | 78 | 76 | 45 | 99 | 76 | 87 | 71 | 31 | 50 | 75 | 28 | ||||
Nicke Hautajoki | 43 | LW | 100.00 | 88 | 43 | 87 | 85 | 71 | 83 | 61 | 94 | 67 | 68 | 54 | 52 | 97 | 40 | 85 | 19 | 50 | 72 | 32 | ||||
Klemen Napotnik (R) | 25 | C | 100.00 | 65 | 58 | 79 | 88 | 84 | 92 | 57 | 86 | 76 | 53 | 93 | 27 | 93 | 46 | 32 | 62 | 50 | 72 | 24 | ||||
Jean-Rene Deeg (A) | 21 | C | 100.00 | 36 | 47 | 64 | 58 | 89 | 60 | 63 | 96 | 98 | 78 | 59 | 72 | 35 | 38 | 62 | 21 | 50 | 71 | 32 | 890,000$/5yrs | |||
Shayne Reinhart (R) | 22 | C | 100.00 | 83 | 45 | 54 | 76 | 40 | 73 | 93 | 81 | 88 | 68 | 94 | 40 | 49 | 32 | 27 | 65 | 50 | 71 | 22 | 800,000$/2yrs | |||
Algot Liikkanen (R) | 91 | C | 100.00 | 40 | 55 | 58 | 54 | 82 | 79 | 82 | 83 | 65 | 64 | 94 | 53 | 85 | 43 | 37 | 60 | 50 | 70 | 24 | 1,500,000$/1yrs | |||
Grayson Waldrep (R) | 92 | LW | 100.00 | 56 | 54 | 87 | 69 | 61 | 56 | 70 | 79 | 77 | 48 | 62 | 65 | 67 | 68 | 40 | 56 | 50 | 64 | 23 | 750,000$/4yrs | |||
Jaedon Crummy (R) | 15 | RW | 100.00 | 80 | 51 | 54 | 57 | 45 | 84 | 62 | 66 | 56 | 49 | 63 | 86 | 34 | 88 | 42 | 60 | 50 | 63 | 23 | ||||
Roland Deichmann | 44 | D | 100.00 | 91 | 41 | 68 | 89 | 77 | 85 | 63 | 68 | 25 | 91 | 52 | 77 | 57 | 65 | 59 | 24 | 50 | 76 | 30 | 1,200,000$/1yrs | |||
Philip Salenius | 18 | D | 100.00 | 61 | 65 | 71 | 78 | 92 | 57 | 79 | 74 | 25 | 80 | 47 | 82 | 78 | 70 | 86 | 7 | 50 | 74 | 34 | 999,999$/5yrs | |||
Lazlo Sergent | 38 | D | 100.00 | 88 | 62 | 61 | 73 | 93 | 84 | 84 | 85 | 25 | 34 | 72 | 60 | 34 | 95 | 52 | 56 | 50 | 71 | 25 | ||||
Visa-Veikko Gripenberg (R) | 54 | D | 100.00 | 64 | 56 | 76 | 82 | 50 | 59 | 74 | 72 | 25 | 81 | 74 | 71 | 57 | 91 | 29 | 48 | 50 | 71 | 25 | 1,150,000$/1yrs | |||
Chris Touhey | 71 | D | 100.00 | 37 | 56 | 85 | 83 | 26 | 99 | 62 | 87 | 25 | 74 | 54 | 98 | 67 | 46 | 34 | 8 | 50 | 68 | 34 | ||||
Forester Oglesby (R) | 72 | D | 100.00 | 81 | 56 | 56 | 93 | 59 | 51 | 60 | 56 | 25 | 80 | 40 | 83 | 85 | 49 | 38 | 65 | 50 | 68 | 23 | 1,999,999$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Nicolas Adcock | 49 | LW | 100.00 | 97 | 58 | 58 | 66 | 69 | 74 | 52 | 85 | 87 | 53 | 73 | 99 | 79 | 79 | 39 | 46 | 50 | 72 | 26 | ||||
Arttu-Petteri Malmikankare (R) | 74 | LW | 100.00 | 33 | 36 | 91 | 74 | 49 | 99 | 57 | 89 | 49 | 74 | 53 | 30 | 58 | 46 | 87 | 74 | 50 | 65 | 22 | 845,000$/2yrs | |||
Felix Westberg | 79 | LW | 100.00 | 37 | 35 | 80 | 55 | 45 | 53 | 68 | 79 | 75 | 81 | 54 | 64 | 68 | 77 | 81 | 68 | 50 | 64 | 23 | 720,000$/1yrs | |||
Angus Nilsson | 95 | RW | 100.00 | 28 | 39 | 73 | 52 | 56 | 47 | 58 | 82 | 51 | 34 | 82 | 53 | 41 | 58 | 52 | 54 | 50 | 56 | 25 | ||||
Ben Moes | 0 | D | 100.00 | 75 | 51 | 71 | 68 | 90 | 86 | 50 | 99 | 25 | 58 | 66 | 74 | 42 | 63 | 44 | 28 | 50 | 73 | 30 | 1,399,500$/1yrs | |||
Trace Micklem | 3 | D | 100.00 | 81 | 37 | 95 | 71 | 82 | 94 | 55 | 88 | 25 | 45 | 35 | 55 | 95 | 58 | 54 | 43 | 50 | 68 | 26 | 1,089,000$/1yrs | |||
Pyotr Pakholkov | 60 | D | 100.00 | 74 | 49 | 87 | 53 | 43 | 72 | 54 | 85 | 25 | 47 | 39 | 94 | 80 | 64 | 98 | 2 | 50 | 64 | 35 | 1,900,000$/3yrs | |||
Genadz Bubnow | 55 | D | 100.00 | 66 | 42 | 73 | 57 | 46 | 81 | 50 | 94 | 25 | 51 | 61 | 83 | 72 | 35 | 75 | 55 | 50 | 63 | 24 | 999,000$/3yrs | |||
Sixten Lesch (R) | 7 | D | 100.00 | 73 | 42 | 81 | 54 | 56 | 60 | 58 | 94 | 25 | 43 | 38 | 75 | 86 | 67 | 65 | 73 | 50 | 61 | 22 | ||||
Dayton Schwindt (R) | 30 | D | 100.00 | 27 | 50 | 70 | 74 | 28 | 76 | 57 | 61 | 25 | 58 | 67 | 94 | 81 | 92 | 59 | 62 | 50 | 60 | 23 | 720,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Magnus Pimm | 34 | 100.00 | 65 | 94 | 83 | 83 | 96 | 57 | 81 | 54 | 91 | 73 | 87 | 50 | 47 | 26 | 50 | 78 | 31 | 1,400,000$/2yrs |
Keevin Fostvelt | 35 | 100.00 | 84 | 65 | 94 | 68 | 58 | 92 | 94 | 50 | 60 | 73 | 86 | 78 | 83 | 61 | 50 | 74 | 24 | 1,055,000$/1yrs |
| Scratches | ||||||||||||||||||||
Ivan Peshekhonov | 33 | 100.00 | 82 | 51 | 50 | 82 | 82 | 73 | 92 | 99 | 74 | 66 | 50 | 78 | 30 | 57 | 50 | 75 | 25 | 1,999,999$/3yrs |
Shaun Dorais | 36 | 100.00 | 60 | 97 | 55 | 81 | 85 | 80 | 83 | 54 | 81 | 63 | 51 | 74 | 80 | 67 | 50 | 74 | 22 | 900,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| General Manager | Keith Evans |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Algot Liikkanen | C | 24 | 1,500,000$ | 1,500,000$ | |||||||
Angus Nilsson ![]() | RW | 25 | 0$ | 0$ | |||||||
Arttu-Petteri Malmikankare | LW | 22 | 845,000$ | 845,000$ | 845,000$ | ||||||
Ben Moes ![]() | D | 30 | 1,399,500$ | 1,399,500$ | |||||||
Chris Touhey ![]() | D | 34 | 0$ | 0$ | |||||||
Dayton Schwindt | D | 23 | 720,000$ | 720,000$ | |||||||
Felix Westberg | LW | 23 | 720,000$ | 720,000$ | |||||||
Forester Oglesby | D | 23 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||||
Genadz Bubnow | D | 24 | 999,000$ | 999,000$ | 999,000$ | 999,000$ | |||||
Grayson Waldrep | LW | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | 750,000$ | ||||
Ivan Peshekhonov ![]() | G | 25 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | |||||
Jaedon Crummy | RW | 23 | 0$ | 0$ | |||||||
Jean-Rene Deeg ![]() | C | 32 | 890,000$ | 890,000$ | 890,000$ | 890,000$ | 890,000$ | 890,000$ | |||
Joel Quintal | RW | 23 | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||||
Jonah Lakovic ![]() | LW | 28 | 0$ | 0$ | |||||||
Keevin Fostvelt | G | 24 | 1,055,000$ | 1,055,000$ | |||||||
Klemen Napotnik | C | 24 | 0$ | 0$ | |||||||
Lazlo Sergent ![]() | D | 25 | 0$ | 0$ | |||||||
Lennox Henry ![]() | RW | 30 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | |||
Magnus Pimm ![]() | G | 31 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Nicke Hautajoki ![]() | LW | 32 | 0$ | 0$ | |||||||
Nicolas Adcock ![]() | LW | 26 | 0$ | 0$ | |||||||
Philip Salenius ![]() | D | 34 | 999,999$ | 999,999$ | 999,999$ | 999,999$ | 999,999$ | 999,999$ | |||
Pyotr Pakholkov ![]() | D | 35 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||||
Roland Deichmann ![]() | D | 30 | 1,200,000$ | 1,200,000$ | |||||||
Shaun Dorais | G | 22 | 900,000$ | 900,000$ | |||||||
Shayne Reinhart | C | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Sixten Lesch | D | 22 | 0$ | 0$ | |||||||
Trace Micklem ![]() | D | 26 | 1,089,000$ | 1,089,000$ | |||||||
Visa-Veikko Gripenberg ![]() | D | 25 | 1,150,000$ | 1,150,000$ | |||||||
Yannick Berard ![]() | RW | 30 | 1,310,000$ | 1,310,000$ |
| 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 |
| 2,697,750$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Vermont | |
| 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 |
| 2,697,750$ | 2,697,750$ | 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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