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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bruno-Carl Young (R) | 0 | RW | 100.00 | 33 | 49 | 65 | 64 | 55 | 83 | 90 | 91 | 49 | 82 | 93 | 91 | 54 | 86 | 33 | 70 | 50 | 76 | 22 | 900,000$/2yrs | |||
Jerry Malmkvist (R) | 0 | LW | 100.00 | 52 | 39 | 81 | 76 | 95 | 66 | 75 | 66 | 64 | 69 | 80 | 89 | 48 | 67 | 48 | 72 | 50 | 75 | 21 | 1,255,000$/1yrs | |||
Gino Genua | 0 | LW | 100.00 | 58 | 51 | 58 | 56 | 73 | 65 | 76 | 72 | 79 | 81 | 97 | 77 | 92 | 47 | 58 | 62 | 50 | 74 | 24 | 1,770,000$/2yrs | |||
Dunmore Heckman | 0 | RW | 100.00 | 79 | 61 | 69 | 98 | 39 | 86 | 82 | 96 | 59 | 96 | 60 | 34 | 90 | 89 | 78 | 46 | 50 | 74 | 27 | 953,000$/1yrs | |||
Billy Fonteyne | 27 | LW | 100.00 | 75 | 56 | 91 | 63 | 70 | 62 | 69 | 68 | 98 | 93 | 52 | 73 | 34 | 86 | 90 | 48 | 50 | 73 | 26 | 998,354$/4yrs | |||
Dennis Wilks | 17 | RW | 100.00 | 75 | 34 | 88 | 50 | 75 | 62 | 80 | 88 | 90 | 72 | 89 | 34 | 75 | 83 | 61 | 67 | 50 | 71 | 21 | 1,865,000$/1yrs | |||
Mack Macdiarmid | 0 | LW | 100.00 | 97 | 53 | 59 | 95 | 41 | 62 | 73 | 66 | 60 | 69 | 67 | 95 | 73 | 83 | 77 | 3 | 50 | 71 | 36 | 1,414,000$/1yrs | |||
Reece Leinweber (R) | 0 | D | 100.00 | 88 | 62 | 59 | 82 | 87 | 78 | 76 | 67 | 25 | 49 | 67 | 82 | 36 | 79 | 87 | 65 | 50 | 75 | 22 | 1,500,000$/4yrs | |||
Timothee Braun | 0 | D | 100.00 | 69 | 39 | 67 | 89 | 89 | 64 | 89 | 61 | 25 | 76 | 52 | 60 | 96 | 84 | 58 | 41 | 50 | 72 | 27 | 800,000$/2yrs | |||
Gregory Wieman | 5 | D | 100.00 | 66 | 64 | 56 | 54 | 87 | 59 | 81 | 72 | 25 | 94 | 65 | 55 | 46 | 92 | 72 | 56 | 50 | 70 | 23 | 860,587$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Leo Panas | 0 | C | 100.00 | 54 | 39 | 98 | 84 | 57 | 99 | 69 | 77 | 71 | 47 | 97 | 72 | 78 | 85 | 69 | 21 | 50 | 74 | 30 | 1,654,865$/3yrs | |||
Torsten Orsa | 66 | C | 100.00 | 82 | 43 | 60 | 71 | 95 | 63 | 82 | 85 | 64 | 74 | 61 | 62 | 63 | 60 | 62 | 29 | 50 | 73 | 30 | 1,200,000$/1yrs | |||
Geordie Mcgee | 0 | LW | 100.00 | 61 | 45 | 98 | 74 | 67 | 74 | 93 | 76 | 84 | 54 | 85 | 61 | 59 | 49 | 75 | 44 | 50 | 73 | 27 | 493,000$/2yrs | |||
Duncan Dorowicz (R) | 0 | RW | 100.00 | 74 | 59 | 77 | 91 | 80 | 84 | 65 | 62 | 90 | 44 | 54 | 66 | 59 | 69 | 79 | 67 | 50 | 69 | 22 | 800,000$/2yrs | |||
Gennady Plyakin | 0 | RW | 100.00 | 92 | 63 | 82 | 91 | 50 | 85 | 70 | 69 | 94 | 78 | 38 | 30 | 82 | 62 | 77 | 22 | 50 | 68 | 32 | 674,000$/2yrs | |||
Yakov Shukayev | 0 | C | 100.00 | 60 | 41 | 81 | 57 | 56 | 53 | 58 | 80 | 65 | 80 | 95 | 39 | 35 | 77 | 46 | 63 | 50 | 66 | 23 | 314,000$/3yrs | |||
Mace Purpur (R) | 0 | RW | 100.00 | 81 | 57 | 71 | 51 | 40 | 81 | 66 | 86 | 75 | 55 | 35 | 89 | 41 | 45 | 97 | 72 | 50 | 64 | 21 | 304,000$/1yrs | |||
Brendyn Ellis (R) | 0 | C | 100.00 | 40 | 51 | 81 | 81 | 49 | 60 | 61 | 89 | 79 | 62 | 83 | 26 | 92 | 68 | 50 | 76 | 50 | 64 | 20 | 512,000$/3yrs | |||
Kory Ellis | 0 | D | 100.00 | 75 | 53 | 61 | 78 | 93 | 57 | 70 | 66 | 25 | 63 | 58 | 76 | 80 | 91 | 68 | 71 | 50 | 72 | 22 | 1,300,000$/5yrs | |||
Anatoliy Potochnyak | 63 | D | 100.00 | 86 | 67 | 96 | 75 | 71 | 54 | 70 | 63 | 25 | 45 | 62 | 70 | 36 | 85 | 72 | 36 | 50 | 69 | 27 | 664,000$/2yrs | |||
Vladimir Aleksandrov (R) | 4 | D | 100.00 | 85 | 58 | 55 | 69 | 56 | 88 | 50 | 81 | 25 | 68 | 64 | 57 | 34 | 92 | 39 | 84 | 50 | 67 | 20 | 234,000$/3yrs | |||
Beauregard Pantall | 0 | D | 100.00 | 52 | 64 | 57 | 75 | 91 | 60 | 55 | 68 | 25 | 62 | 71 | 62 | 66 | 34 | 65 | 54 | 50 | 67 | 24 | 537,000$/3yrs | |||
Mark Uglov (A) | 0 | D | 100.00 | 63 | 39 | 77 | 90 | 29 | 57 | 87 | 61 | 25 | 59 | 36 | 86 | 51 | 59 | 86 | 46 | 50 | 64 | 26 | 288,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nigel Hagen | 35 | 100.00 | 58 | 66 | 80 | 83 | 56 | 87 | 94 | 65 | 62 | 60 | 49 | 95 | 94 | 43 | 50 | 71 | 26 | 1,365,000$/1yrs |
Scratches | ||||||||||||||||||||
Feliks Pirttijarvi | 0 | 100.00 | 72 | 84 | 78 | 70 | 81 | 73 | 66 | 61 | 50 | 61 | 62 | 64 | 98 | 46 | 50 | 70 | 26 | 1,267,500$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Casey Schuhmacher |
---|
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 | 3-4 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anatoliy Potochnyak | D | 27 | 664,000$ | 664,000$ | 664,000$ | ||||||
Beauregard Pantall | D | 24 | 537,000$ | 537,000$ | 537,000$ | 537,000$ | |||||
Billy Fonteyne | LW | 26 | 998,354$ | 998,354$ | 998,354$ | 998,354$ | 998,354$ | ||||
Brendyn Ellis | C | 20 | 512,000$ | 512,000$ | 512,000$ | 512,000$ | |||||
Bruno-Carl Young | RW | 22 | 900,000$ | 900,000$ | 900,000$ | ||||||
Dennis Wilks | RW | 21 | 1,865,000$ | 1,865,000$ | |||||||
Duncan Dorowicz | RW | 22 | 800,000$ | 800,000$ | 800,000$ | ||||||
Dunmore Heckman | RW | 27 | 953,000$ | 953,000$ | |||||||
Feliks Pirttijarvi | G | 26 | 1,267,500$ | 1,267,500$ | 1,267,500$ | 1,267,500$ | |||||
Gennady Plyakin | RW | 32 | 674,000$ | 674,000$ | 674,000$ | ||||||
Geordie Mcgee | LW | 27 | 493,000$ | 493,000$ | 493,000$ | ||||||
Gino Genua | LW | 24 | 1,770,000$ | 1,770,000$ | 1,770,000$ | ||||||
Gregory Wieman | D | 23 | 860,587$ | 860,587$ | 860,587$ | ||||||
Jerry Malmkvist | LW | 21 | 1,255,000$ | 1,255,000$ | |||||||
Kory Ellis | D | 22 | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | 1,300,000$ | |||
Leo Panas | C | 30 | 1,654,865$ | 1,654,865$ | 1,654,865$ | 1,654,865$ | |||||
Mace Purpur | RW | 21 | 304,000$ | 304,000$ | |||||||
Mack Macdiarmid | LW | 36 | 1,414,000$ | 1,414,000$ | |||||||
Mark Uglov | D | 26 | 288,000$ | 288,000$ | |||||||
Nigel Hagen | G | 26 | 1,365,000$ | 1,365,000$ | |||||||
Reece Leinweber | D | 22 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||
Timothee Braun | D | 27 | 800,000$ | 800,000$ | 800,000$ | ||||||
Torsten Orsa | C | 30 | 1,200,000$ | 1,200,000$ | |||||||
Vladimir Aleksandrov | D | 20 | 234,000$ | 234,000$ | 234,000$ | 234,000$ | |||||
Yakov Shukayev | C | 23 | 314,000$ | 314,000$ | 314,000$ | 314,000$ |
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 |
Date | Matchup | Result | Detail |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,392,330$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Baltimore | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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 | |||||
---|---|---|---|---|---|
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 |
2,392,330$ | 2,392,330$ | 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 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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