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---|---|---|---|---|
0 | 0 | 0 | 0 | 0 |
GM: Neil Oliver![]() |
League Rank:23rd | Arena: Grande Prairie Arena |
Conference: Western Conference | Conference Rank:12nd | Capacity:3,000 |
Division: North West Division | Division Rank:4th | Total Player Salaries:3,458,319$ |
Captain: Keaton Kanji | Last 10: 0-0-0 | |
Coach: Mehdi Winberg | Home: 0-0-0 | |
All-Time Record: 168 W - 114 L - 38 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 61 | RW | 100.00 | 87 | 41 | 88 | 97 | 78 | 68 | 92 | 60 | 49 | 82 | 58 | 84 | 89 | 99 | 89 | 33 | 50 | 77 | 28 | 1,700,000$/3yrs | |||
![]() | 71 | RW | 100.00 | 71 | 48 | 73 | 94 | 99 | 64 | 73 | 84 | 56 | 74 | 71 | 74 | 44 | 66 | 53 | 55 | 50 | 77 | 25 | 1,000,000$/1yrs | |||
![]() | 78 | RW | 100.00 | 51 | 55 | 53 | 96 | 83 | 99 | 75 | 61 | 84 | 68 | 59 | 99 | 76 | 37 | 46 | 72 | 50 | 77 | 20 | 800,000$/2yrs | |||
![]() | 24 | C | 100.00 | 67 | 56 | 74 | 60 | 49 | 99 | 68 | 83 | 86 | 99 | 49 | 86 | 96 | 81 | 38 | 15 | 50 | 76 | 32 | 1,400,000$/3yrs | |||
![]() | 88 | LW | 100.00 | 47 | 59 | 73 | 69 | 52 | 96 | 63 | 69 | 48 | 91 | 83 | 96 | 63 | 90 | 47 | 51 | 50 | 75 | 27 | 1,187,000$/1yrs | |||
![]() | 11 | C | 100.00 | 32 | 46 | 75 | 99 | 67 | 87 | 92 | 84 | 72 | 72 | 63 | 62 | 45 | 80 | 63 | 64 | 50 | 75 | 23 | 1,666,000$/3yrs | |||
![]() | 16 | RW | 100.00 | 76 | 41 | 59 | 85 | 55 | 78 | 92 | 83 | 68 | 68 | 68 | 78 | 38 | 55 | 48 | 51 | 50 | 74 | 26 | 700,000$/1yrs | |||
![]() | 13 | C | 100.00 | 70 | 33 | 66 | 93 | 75 | 72 | 86 | 71 | 97 | 57 | 85 | 54 | 36 | 64 | 40 | 51 | 50 | 74 | 25 | 1,170,000$/4yrs | |||
![]() | 25 | LW | 100.00 | 67 | 52 | 31 | 73 | 84 | 67 | 84 | 82 | 57 | 78 | 58 | 99 | 36 | 56 | 48 | 68 | 50 | 74 | 22 | 800,000$/1yrs | |||
![]() | 8 | D | 100.00 | 88 | 44 | 70 | 88 | 86 | 69 | 81 | 60 | 25 | 75 | 73 | 67 | 93 | 59 | 67 | 56 | 50 | 76 | 23 | 1,125,000$/2yrs | |||
![]() | 5 | D | 100.00 | 45 | 59 | 82 | 68 | 77 | 90 | 71 | 79 | 25 | 86 | 51 | 86 | 67 | 93 | 50 | 35 | 50 | 74 | 28 | 1,386,767$/1yrs | |||
![]() | 47 | D | 100.00 | 77 | 45 | 65 | 90 | 81 | 62 | 64 | 77 | 25 | 72 | 67 | 82 | 86 | 36 | 43 | 65 | 50 | 74 | 22 | 1,000,000$/2yrs | |||
![]() | 3 | D | 100.00 | 82 | 60 | 66 | 86 | 84 | 63 | 62 | 75 | 25 | 43 | 70 | 90 | 80 | 91 | 40 | 32 | 50 | 73 | 30 | 1,990,000$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 22 | RW | 100.00 | 98 | 58 | 80 | 90 | 64 | 72 | 89 | 65 | 85 | 65 | 92 | 61 | 75 | 95 | 49 | 62 | 50 | 76 | 22 | 1,600,000$/3yrs | |||
![]() | 92 | LW | 100.00 | 52 | 43 | 68 | 61 | 74 | 65 | 84 | 74 | 75 | 83 | 95 | 64 | 60 | 68 | 42 | 45 | 50 | 74 | 27 | 1,960,100$/3yrs | |||
![]() | 0 | C | 100.00 | 68 | 29 | 75 | 84 | 96 | 65 | 99 | 65 | 58 | 70 | 57 | 71 | 40 | 52 | 42 | 65 | 50 | 74 | 20 | 1,000,000$/3yrs | |||
![]() | 89 | LW | 100.00 | 61 | 57 | 65 | 76 | 68 | 78 | 55 | 65 | 44 | 80 | 90 | 96 | 57 | 90 | 61 | 59 | 50 | 73 | 23 | 1,765,820$/5yrs | |||
![]() | 40 | C | 100.00 | 73 | 62 | 69 | 79 | 53 | 81 | 85 | 71 | 99 | 41 | 74 | 91 | 70 | 82 | 34 | 37 | 50 | 72 | 28 | 1,075,000$/3yrs | |||
![]() | 7 | D | 100.00 | 73 | 36 | 85 | 96 | 97 | 74 | 53 | 58 | 25 | 83 | 62 | 80 | 40 | 69 | 66 | 76 | 50 | 76 | 20 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 47 | 82 | 97 | 98 | 67 | 64 | 63 | 25 | 83 | 53 | 68 | 48 | 61 | 78 | 74 | 50 | 75 | 21 | 800,000$/3yrs | |||
![]() | 0 | D | 100.00 | 70 | 70 | 57 | 72 | 89 | 86 | 91 | 70 | 74 | 42 | 47 | 80 | 78 | 65 | 64 | 86 | 50 | 74 | 18 | 800,000$/3yrs | |||
![]() | 0 | D | 100.00 | 84 | 44 | 75 | 89 | 76 | 93 | 75 | 74 | 25 | 59 | 35 | 64 | 35 | 83 | 74 | 73 | 50 | 72 | 21 | 800,000$/3yrs | |||
![]() | 54 | D | 100.00 | 64 | 56 | 77 | 82 | 49 | 57 | 73 | 73 | 25 | 80 | 73 | 70 | 57 | 91 | 29 | 54 | 50 | 71 | 24 | 1,150,000$/2yrs | |||
![]() | 72 | D | 100.00 | 82 | 56 | 56 | 93 | 61 | 53 | 61 | 57 | 25 | 81 | 41 | 85 | 85 | 49 | 38 | 69 | 50 | 69 | 22 | 1,999,999$/4yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 31 | 100.00 | 92 | 79 | 90 | 85 | 59 | 70 | 80 | 54 | 65 | 95 | 86 | 55 | 61 | 34 | 50 | 77 | 28 | 1,807,500$/1yrs |
![]() | 35 | 100.00 | 58 | 92 | 84 | 98 | 49 | 69 | 83 | 70 | 85 | 63 | 64 | 46 | 82 | 82 | 50 | 75 | 20 | 1,000,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 68 | 76 | 73 | 68 | 81 | 77 | 75 | 69 | 73 | 82 | 63 | 79 | 80 | 61 | 50 | 74 | 18 | 800,000$/3yrs |
![]() | 60 | 100.00 | 90 | 94 | 88 | 81 | 65 | 74 | 67 | 52 | 60 | 60 | 58 | 32 | 41 | 60 | 50 | 73 | 24 | 1,200,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary | ||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | Mehdi Winberg | 60 | 62 | 90 | 35 | 96 | 89 | 59 | SWE | 67 | 1 | 650,000$ |
General Manager | Neil Oliver |
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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 |
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Player Name | POS | Age | Cap Hit | 5-6 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aatami Kevari ![]() | LW | 27 | 1,960,100$ | 1,960,100$ | 1,960,100$ | 1,960,100$ | |||||
Afanasy Kunayev ![]() | D | 20 | 900,000$ | 900,000$ | |||||||
Burke Hensel ![]() | LW | 23 | 1,765,820$ | 1,765,820$ | 1,765,820$ | 1,765,820$ | 1,765,820$ | 1,765,820$ | |||
Dauren Abdykarimov ![]() | RW | 26 | 700,000$ | 700,000$ | |||||||
Dempsey Roos ![]() | LW | 27 | 1,187,000$ | 1,187,000$ | |||||||
Derek Hemmerling ![]() | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Forester Oglesby ![]() | D | 22 | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | 1,999,999$ | ||||
Fredrik Becken ![]() | G | 18 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Helgert Finke ![]() | G | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Jameson Thibeault ![]() | G | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Jami-Petri Saukko ![]() | RW | 20 | 800,000$ | 800,000$ | 800,000$ | ||||||
Joel Quintal ![]() | RW | 22 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | |||||
Jonatan Klingvall ![]() | D | 28 | 1,386,767$ | 1,386,767$ | |||||||
Keaton Kanji ![]() | C | 32 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | |||||
Leyman Shaeffer ![]() | C | 23 | 1,666,000$ | 1,666,000$ | 1,666,000$ | 1,666,000$ | |||||
Louis Heide ![]() | G | 28 | 1,807,500$ | 1,807,500$ | |||||||
Marten Samways ![]() | C | 20 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Mikhail Radeyev ![]() | C | 28 | 1,075,000$ | 1,075,000$ | 1,075,000$ | 1,075,000$ | |||||
Nerijus Fomenka ![]() | D | 23 | 1,125,000$ | 1,125,000$ | 1,125,000$ | ||||||
Oscar Mavrogiannakis ![]() | LW | 22 | 800,000$ | 800,000$ | |||||||
Reece Driedger ![]() | D | 22 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Rietrikki Ulrich ![]() | D | 18 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Vaidas Indrisiunas ![]() | RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Visa-Veikko Gripenberg ![]() | D | 24 | 1,150,000$ | 1,150,000$ | 1,150,000$ | ||||||
Vladislav Ralin ![]() | D | 21 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
Vyacheslav Burdelyov ![]() | C | 25 | 1,170,000$ | 1,170,000$ | 1,170,000$ | 1,170,000$ | 1,170,000$ | ||||
Wade OCuirneen ![]() | RW | 28 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | |||||
Zack Blanch ![]() | D | 30 | 1,990,000$ | 1,990,000$ | 1,990,000$ | 1,990,000$ | 1,990,000$ |
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 |
3,458,319$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Grande Prairie | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 40$ | 20$ | $ | $ | $ |
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 |
3,458,319$ | 3,458,319$ | 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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