GP | W | L | OT | Pts |
---|---|---|---|---|
0 | 0 | 0 | 0 | 0 |
GM: Kieran Green | League Rank:12nd | Arena: Kansas City Arena |
Conference: Western Conference | Conference Rank:7th | Capacity:3,000 |
Division: Central Division | Division Rank:3rd | Total Player Salaries:2,459,951$ |
Captain: Adalbert Berlin | Last 10: 0-0-0 | |
Coach: Christer Bjorkman | Home: 0-0-0 | |
All-Time Record: 79 W - 66 L - 15 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adalbert Berlin (C) | 0 | C | 100.00 | 40 | 54 | 91 | 62 | 99 | 61 | 69 | 68 | 97 | 97 | 45 | 76 | 92 | 59 | 69 | 39 | 50 | 74 | 28 | 1,100,000$/4yrs | |||
Gennady Oginsky | 0 | RW | 100.00 | 79 | 50 | 83 | 93 | 61 | 75 | 89 | 83 | 58 | 69 | 46 | 81 | 89 | 76 | 82 | 9 | 50 | 74 | 34 | 1,700,000$/1yrs | |||
Francois Walrod (R) | 0 | LW | 100.00 | 80 | 46 | 86 | 82 | 48 | 96 | 61 | 66 | 50 | 93 | 81 | 44 | 87 | 85 | 48 | 65 | 50 | 73 | 22 | 1,500,000$/3yrs | |||
Kirill Karpyuk | 29 | RW | 100.00 | 51 | 61 | 84 | 62 | 68 | 90 | 66 | 63 | 86 | 78 | 93 | 51 | 42 | 47 | 82 | 71 | 50 | 72 | 20 | 1,960,000$/2yrs | |||
Oskar Carlsson (A) | 0 | C | 100.00 | 54 | 34 | 95 | 85 | 93 | 61 | 58 | 87 | 92 | 73 | 43 | 56 | 75 | 92 | 44 | 50 | 50 | 71 | 24 | 1,600,000$/4yrs | |||
Rylan Meunier | 0 | LW | 100.00 | 62 | 40 | 86 | 70 | 81 | 86 | 53 | 68 | 56 | 61 | 67 | 92 | 35 | 98 | 92 | 62 | 50 | 71 | 23 | 1,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Vsevolod Kaiturov | 27 | LW | 100.00 | 75 | 62 | 68 | 80 | 60 | 67 | 93 | 68 | 74 | 97 | 45 | 81 | 51 | 91 | 59 | 8 | 50 | 75 | 34 | 1,400,000$/2yrs | |||
Emilio Mabry (R) | 0 | RW | 100.00 | 33 | 45 | 82 | 71 | 86 | 72 | 50 | 83 | 91 | 84 | 88 | 67 | 60 | 90 | 30 | 67 | 50 | 75 | 21 | 800,000$/2yrs | |||
Thor Souchotte | 18 | C | 100.00 | 94 | 62 | 76 | 65 | 94 | 75 | 50 | 89 | 74 | 79 | 39 | 82 | 56 | 70 | 55 | 6 | 50 | 73 | 36 | 1,800,000$/2yrs | |||
Thornton Upchurch (R) | 0 | RW | 100.00 | 43 | 64 | 86 | 53 | 38 | 87 | 50 | 88 | 54 | 93 | 89 | 89 | 85 | 30 | 89 | 69 | 50 | 72 | 21 | 900,000$/2yrs | |||
Easton Jamieson (A) | 0 | C | 100.00 | 59 | 49 | 87 | 71 | 75 | 99 | 93 | 66 | 63 | 71 | 61 | 37 | 33 | 77 | 87 | 52 | 50 | 71 | 24 | 205,500$/1yrs | |||
Deimantas Dainys | 0 | LW | 100.00 | 86 | 51 | 71 | 57 | 82 | 70 | 50 | 61 | 75 | 45 | 98 | 99 | 35 | 99 | 78 | 47 | 50 | 70 | 27 | 1,330,000$/3yrs | |||
York Kiki | 0 | RW | 100.00 | 72 | 64 | 89 | 58 | 61 | 64 | 50 | 80 | 88 | 57 | 86 | 87 | 64 | 98 | 44 | 60 | 50 | 70 | 24 | 408,500$/3yrs | |||
Bruce Jomphe | 0 | LW | 100.00 | 52 | 60 | 72 | 76 | 52 | 58 | 71 | 70 | 89 | 74 | 61 | 44 | 49 | 89 | 60 | 68 | 50 | 65 | 22 | ||||
Adel Ferrantino (R) | 0 | C | 100.00 | 46 | 46 | 55 | 65 | 58 | 70 | 75 | 69 | 63 | 60 | 62 | 55 | 50 | 55 | 75 | 74 | 50 | 63 | 20 | 844,507$/5yrs | |||
Tony Delaurentis (R) | 0 | RW | 100.00 | 41 | 60 | 59 | 74 | 25 | 59 | 85 | 63 | 50 | 46 | 77 | 86 | 80 | 78 | 35 | 81 | 50 | 61 | 20 | 256,000$/3yrs | |||
Marv Plaisance | 0 | D | 100.00 | 97 | 57 | 68 | 64 | 98 | 75 | 86 | 63 | 25 | 64 | 36 | 60 | 44 | 43 | 83 | 23 | 50 | 74 | 31 | 644,000$/1yrs | |||
Ivan Nekhrist | 0 | D | 100.00 | 50 | 59 | 83 | 90 | 55 | 99 | 75 | 85 | 25 | 56 | 65 | 60 | 98 | 80 | 64 | 27 | 50 | 72 | 31 | 739,000$/2yrs | |||
Christian Cannan | 0 | D | 100.00 | 52 | 35 | 91 | 84 | 76 | 59 | 73 | 88 | 25 | 69 | 51 | 77 | 74 | 36 | 84 | 25 | 50 | 70 | 31 | 359,000$/1yrs | |||
Connie Leather (R) | 0 | D | 100.00 | 94 | 40 | 80 | 70 | 55 | 59 | 56 | 90 | 25 | 62 | 59 | 69 | 63 | 59 | 97 | 75 | 50 | 66 | 20 | 466,000$/3yrs | |||
Bohdan Palamarchuk | 0 | D | 100.00 | 85 | 35 | 57 | 70 | 36 | 92 | 52 | 67 | 25 | 79 | 46 | 73 | 39 | 52 | 61 | 66 | 50 | 64 | 22 | 335,500$/3yrs | |||
Akke Pyoriainen | 0 | D | 100.00 | 54 | 39 | 76 | 86 | 61 | 77 | 61 | 75 | 25 | 60 | 49 | 51 | 90 | 52 | 57 | 23 | 50 | 63 | 31 | 449,000$/1yrs | |||
Yevheniy Yakovenko (R) | 0 | D | 100.00 | 45 | 32 | 84 | 52 | 41 | 67 | 68 | 75 | 25 | 62 | 63 | 55 | 91 | 66 | 88 | 81 | 50 | 60 | 20 | 320,000$/3yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tylor Rebelo | 0 | 100.00 | 75 | 55 | 79 | 69 | 75 | 99 | 67 | 89 | 62 | 68 | 91 | 66 | 71 | 39 | 50 | 74 | 28 | 1,510,000$/4yrs |
Scratches | ||||||||||||||||||||
Linus Smeds | 0 | 100.00 | 60 | 72 | 72 | 68 | 88 | 55 | 58 | 86 | 90 | 75 | 54 | 76 | 96 | 17 | 50 | 72 | 31 | 1,365,000$/1yrs |
Graeme Bourdeau | 0 | 100.00 | 54 | 54 | 68 | 79 | 55 | 84 | 60 | 64 | 83 | 76 | 71 | 96 | 36 | 48 | 50 | 68 | 25 | 1,050,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Christer Bjorkman | 75 | 49 | 61 | 60 | 95 | 98 | 25 | FIN | 61 | 2 | 200,000$ |
General Manager | Kieran Green |
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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 |
# | 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 |
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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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adalbert Berlin | C | 28 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||
Adel Ferrantino | C | 20 | 844,507$ | 844,507$ | 844,507$ | 844,507$ | 844,507$ | 844,507$ | |||
Akke Pyoriainen | D | 31 | 449,000$ | 449,000$ | |||||||
Bohdan Palamarchuk | D | 22 | 335,500$ | 353,000$ | 318,000$ | 282,000$ | |||||
Bruce Jomphe | LW | 22 | 0$ | 0$ | |||||||
Christian Cannan | D | 31 | 359,000$ | 359,000$ | |||||||
Connie Leather | D | 20 | 466,000$ | 490,000$ | 442,000$ | 392,000$ | |||||
Deimantas Dainys | LW | 27 | 1,330,000$ | 1,330,000$ | 1,330,000$ | 1,330,000$ | |||||
Easton Jamieson | C | 24 | 205,500$ | 200,000$ | |||||||
Emilio Mabry | RW | 21 | 800,000$ | 800,000$ | 800,000$ | ||||||
Francois Walrod | LW | 22 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||||
Gennady Oginsky | RW | 34 | 1,700,000$ | 1,700,000$ | |||||||
Graeme Bourdeau | G | 25 | 1,050,000$ | 1,050,000$ | 1,050,000$ | ||||||
Ivan Nekhrist | D | 31 | 739,000$ | 739,000$ | 739,000$ | ||||||
Kirill Karpyuk | RW | 20 | 1,960,000$ | 1,960,000$ | 1,960,000$ | ||||||
Linus Smeds | G | 31 | 1,365,000$ | 1,365,000$ | |||||||
Marv Plaisance | D | 31 | 644,000$ | 644,000$ | |||||||
Oskar Carlsson | C | 24 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | ||||
Rylan Meunier | LW | 23 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Thor Souchotte | C | 36 | 1,800,000$ | 1,800,000$ | 1,800,000$ | ||||||
Thornton Upchurch | RW | 21 | 900,000$ | 900,000$ | 900,000$ | ||||||
Tony Delaurentis | RW | 20 | 256,000$ | 256,000$ | 256,000$ | 256,000$ | |||||
Tylor Rebelo | G | 28 | 1,510,000$ | 1,510,000$ | 1,510,000$ | 1,510,000$ | 1,510,000$ | ||||
Vsevolod Kaiturov | LW | 34 | 1,400,000$ | 1,400,000$ | 1,400,000$ | ||||||
Yevheniy Yakovenko | D | 20 | 320,000$ | 320,000$ | 320,000$ | 320,000$ | |||||
York Kiki | RW | 24 | 408,500$ | 430,000$ | 387,000$ | 344,000$ |
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 |
2,459,951$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Kansas City | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 40$ | 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 |
2,459,951$ | 2,454,201$ | 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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