Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Newhook (A) | 18 | C/LW | 100.00 | 59 | 36 | 94 | 76 | 68 | 85 | 86 | 73 | 75 | 72 | 67 | 63 | 74 | 62 | 65 | 0 | 50 | 72 | 22 | 1,491,667$/2yrs | |||
Phillip Di Giuseppe (C) | 77 | LW/RW | 100.00 | 82 | 39 | 84 | 65 | 73 | 91 | 72 | 66 | 56 | 67 | 59 | 63 | 65 | 70 | 71 | 0 | 50 | 70 | 29 | 843,750$/2yrs | |||
Austin Rueschhoff | 26 | RW | 100.00 | 90 | 85 | 65 | 55 | 99 | 78 | 84 | 57 | 53 | 55 | 58 | 64 | 56 | 65 | 67 | 0 | 50 | 69 | 25 | 750,000$/2yrs | |||
Lukas Vejdemo | 41 | C | 100.00 | 67 | 38 | 93 | 64 | 77 | 76 | 75 | 63 | 79 | 62 | 64 | 65 | 62 | 67 | 68 | 0 | 50 | 69 | 27 | 895,000$/1yrs | |||
Mathieu Olivier | 25 | RW | 100.00 | 81 | 84 | 56 | 60 | 82 | 76 | 82 | 61 | 62 | 60 | 61 | 66 | 58 | 65 | 67 | 0 | 50 | 69 | 26 | 865,000$/2yrs | |||
Kyle Clifford | 13 | LW | 100.00 | 79 | 86 | 73 | 60 | 83 | 74 | 76 | 61 | 53 | 60 | 62 | 58 | 56 | 78 | 73 | 0 | 50 | 68 | 32 | 800,000$/3yrs | |||
T.J. Tynan | 36 | C | 100.00 | 59 | 34 | 91 | 64 | 60 | 81 | 84 | 63 | 79 | 64 | 58 | 63 | 66 | 70 | 72 | 0 | 50 | 67 | 31 | 828,333$/3yrs | |||
Anthony Richard (A) | 93 | C/LW | 100.00 | 60 | 38 | 82 | 63 | 65 | 89 | 91 | 63 | 57 | 61 | 62 | 56 | 63 | 66 | 68 | 0 | 50 | 67 | 26 | 908,500$/2yrs | |||
Calvin Thurkauf | 82 | C/LW | 100.00 | 67 | 35 | 93 | 62 | 81 | 77 | 78 | 59 | 66 | 61 | 58 | 56 | 59 | 67 | 63 | 0 | 50 | 66 | 25 | 750,000$/1yrs | |||
Jonathon Martin | 86 | RW | 100.00 | 75 | 42 | 64 | 56 | 83 | 77 | 78 | 55 | 58 | 56 | 54 | 57 | 53 | 67 | 69 | 0 | 50 | 65 | 27 | 750,000$/1yrs | |||
Kevin Bahl | 88 | D | 100.00 | 87 | 74 | 83 | 59 | 98 | 82 | 87 | 58 | 30 | 70 | 59 | 69 | 51 | 62 | 64 | 0 | 50 | 72 | 22 | 902,500$/2yrs | |||
Dean Kukan | 46 | D | 100.00 | 66 | 36 | 89 | 65 | 78 | 86 | 81 | 62 | 30 | 71 | 59 | 63 | 52 | 69 | 71 | 0 | 50 | 70 | 29 | 1,261,000$/1yrs | |||
Sami Niku | 8 | D | 100.00 | 62 | 37 | 87 | 68 | 73 | 81 | 75 | 66 | 30 | 73 | 58 | 59 | 50 | 66 | 68 | 0 | 50 | 69 | 26 | 1,003,000$/1yrs | |||
Paul LaDue | 4 | D | 100.00 | 79 | 40 | 92 | 59 | 83 | 81 | 79 | 58 | 30 | 59 | 57 | 66 | 50 | 69 | 72 | 0 | 50 | 68 | 30 | 764,333$/3yrs | |||
Michael Vukojevic | 81 | D | 100.00 | 76 | 42 | 78 | 57 | 85 | 63 | 81 | 56 | 30 | 59 | 53 | 58 | 45 | 62 | 64 | 0 | 50 | 65 | 21 | 925,000$/3yrs | |||
Joseph Cecconi | 35 | D | 100.00 | 73 | 35 | 74 | 56 | 81 | 68 | 82 | 54 | 30 | 56 | 53 | 58 | 46 | 65 | 67 | 0 | 50 | 64 | 26 | 840,500$/2yrs | |||
Ian McCoshen | 79 | D | 100.00 | 78 | 43 | 70 | 54 | 87 | 64 | 81 | 53 | 30 | 56 | 51 | 57 | 45 | 67 | 69 | 0 | 50 | 64 | 27 | 901,000$/1yrs | |||
Noel Hoefenmayer | 92 | D | 100.00 | 64 | 35 | 91 | 59 | 73 | 74 | 80 | 58 | 30 | 57 | 55 | 60 | 47 | 63 | 62 | 0 | 50 | 64 | 24 | 815,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Jakub Lauko | 94 | C/LW | 100.00 | 59 | 34 | 71 | 59 | 68 | 84 | 80 | 59 | 63 | 61 | 56 | 55 | 60 | 62 | 64 | 0 | 50 | 64 | 23 | 1,078,834$/2yrs | |||
Jansen Harkins | 12 | C | 100.00 | 58 | 38 | 84 | 60 | 74 | 72 | 86 | 58 | 69 | 57 | 59 | 56 | 61 | 65 | 67 | 0 | 50 | 64 | 26 | 804,000$/1yrs | |||
Cole Fonstad | 16 | C/LW | 100.00 | 63 | 35 | 92 | 56 | 63 | 81 | 73 | 57 | 61 | 58 | 59 | 53 | 56 | 62 | 64 | 0 | 50 | 63 | 23 | 800,000$/1yrs | |||
Justin Almeida | 61 | C/LW | 100.00 | 56 | 35 | 93 | 55 | 65 | 71 | 74 | 55 | 56 | 55 | 57 | 53 | 56 | 63 | 62 | 0 | 50 | 61 | 24 | 925,000$/1yrs | |||
Ethan Keppen | 12 | LW | 100.00 | 64 | 39 | 79 | 51 | 83 | 71 | 64 | 53 | 56 | 51 | 50 | 54 | 52 | 61 | 63 | 0 | 50 | 60 | 22 | 800,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ukko-Pekka Luukkonen | 1 | 100.00 | 74 | 83 | 82 | 93 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 63 | 69 | 0 | 50 | 76 | 24 | 861,944$/3yrs |
Magnus Hellberg | 30 | 100.00 | 72 | 71 | 72 | 94 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 70 | 85 | 0 | 50 | 76 | 32 | 772,500$/2yrs |
Scratches | ||||||||||||||||||||
Evan Fitzpatrick | 34 | 100.00 | 74 | 64 | 65 | 85 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 64 | 71 | 0 | 50 | 74 | 25 | 921,875$/2yrs |
Matthew Murray | 41 | 100.00 | 75 | 66 | 67 | 76 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 64 | 71 | 0 | 50 | 74 | 25 | 1,375,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Benoit Groulx | 64 | 68 | 73 | 72 | 83 | 78 | 68 | CAN | 54 | 4 | 0$ |
General Manager |
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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 | MP | 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 | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Newhook | C/LW | 22 | 1,491,667$ | 1,491,667$ | 1,491,667$ | RFA | |||||
Anthony Richard | C/LW | 26 | 908,500$ | 1,067,000$ | 750,000$ | UFA | |||||
Austin Rueschhoff | RW | 25 | 750,000$ | 700,000$ | 750,000$ | UFA | |||||
Calvin Thurkauf | C/LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Cole Fonstad | C/LW | 23 | 800,000$ | 800,000$ | RFA | ||||||
Dean Kukan | D | 29 | 1,261,000$ | 1,261,000$ | UFA | ||||||
Ethan Keppen | LW | 22 | 800,000$ | 800,000$ | RFA | ||||||
Evan Fitzpatrick | G | 25 | 921,875$ | 1,093,750$ | 750,000$ | UFA | |||||
Ian McCoshen | D | 27 | 901,000$ | 901,000$ | UFA | ||||||
Jakub Lauko | C/LW | 23 | 1,078,834$ | 1,286,000$ | 871,667$ | RFA | |||||
Jansen Harkins | C | 26 | 804,000$ | 804,000$ | RFA | ||||||
Jonathon Martin | RW | 27 | 750,000$ | 750,000$ | UFA | ||||||
Joseph Cecconi | D | 26 | 840,500$ | 931,000$ | 750,000$ | UFA | |||||
Justin Almeida | C/LW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Kevin Bahl | D | 22 | 902,500$ | 902,500$ | 902,500$ | RFA | |||||
Kyle Clifford | LW | 32 | 800,000$ | 875,000$ | 762,500$ | 762,500$ | UFA | ||||
Lukas Vejdemo | C | 27 | 895,000$ | 895,000$ | UFA | ||||||
Magnus Hellberg | G | 32 | 772,500$ | 795,000$ | 750,000$ | UFA | |||||
Mathieu Olivier | RW | 26 | 865,000$ | 980,000$ | 750,000$ | UFA | |||||
Matthew Murray | G | 25 | 1,375,000$ | 1,375,000$ | RFA | ||||||
Michael Vukojevic | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Noel Hoefenmayer | D | 24 | 815,000$ | 815,000$ | RFA | ||||||
Paul LaDue | D | 30 | 764,333$ | 768,000$ | 762,500$ | 762,500$ | UFA | ||||
Phillip Di Giuseppe | LW/RW | 29 | 843,750$ | 937,500$ | 750,000$ | UFA | |||||
Sami Niku | D | 26 | 1,003,000$ | 1,003,000$ | UFA | ||||||
T.J. Tynan | C | 31 | 828,333$ | 910,000$ | 787,500$ | 787,500$ | UFA | ||||
Ukko-Pekka Luukkonen | G | 24 | 861,944$ | 910,833$ | 837,500$ | 837,500$ | UFA |
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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 |
# | 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 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 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 | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,565,225$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Manitoba | |
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 |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,565,225$ | 2,463,374$ | 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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