Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J.J. Peterka (R) | 21 | RW | 100.00 | 66 | 37 | 86 | 68 | 71 | 92 | 88 | 69 | 64 | 67 | 65 | 66 | 69 | 61 | 62 | 0 | 50 | 71 | 21 | 894,167$/4yrs | |||
Tim Gettinger | 64 | LW | 100.00 | 79 | 63 | 76 | 59 | 96 | 83 | 77 | 60 | 66 | 61 | 59 | 65 | 57 | 64 | 66 | 0 | 50 | 70 | 25 | 1,148,500$/2yrs | |||
Logan Shaw (C) | 71 | RW | 100.00 | 72 | 39 | 83 | 62 | 86 | 82 | 85 | 63 | 71 | 62 | 60 | 66 | 63 | 71 | 75 | 0 | 50 | 70 | 30 | 910,000$/1yrs | |||
Sam Steel | 87 | C | 100.00 | 59 | 34 | 93 | 68 | 70 | 82 | 86 | 67 | 83 | 66 | 64 | 59 | 68 | 64 | 65 | 0 | 50 | 69 | 25 | 959,375$/2yrs | |||
Connor McMichael (A) | 15 | C | 100.00 | 59 | 34 | 91 | 67 | 72 | 75 | 79 | 69 | 76 | 65 | 68 | 61 | 72 | 62 | 64 | 0 | 50 | 69 | 22 | 863,333$/3yrs | |||
Joseph Cramarossa (A) | 97 | C | 100.00 | 80 | 39 | 69 | 64 | 75 | 76 | 74 | 63 | 71 | 65 | 58 | 62 | 64 | 70 | 72 | 0 | 50 | 69 | 30 | 750,000$/1yrs | |||
Cole Smith | 29 | LW | 100.00 | 73 | 39 | 88 | 61 | 82 | 81 | 83 | 59 | 64 | 58 | 60 | 62 | 59 | 67 | 69 | 0 | 50 | 68 | 27 | 762,500$/2yrs | |||
Filip Hallander | 20 | C | 100.00 | 60 | 37 | 88 | 66 | 75 | 84 | 85 | 63 | 64 | 61 | 62 | 58 | 63 | 62 | 64 | 0 | 50 | 68 | 22 | 913,333$/2yrs | |||
Joey Anderson | 18 | RW | 100.00 | 65 | 37 | 81 | 62 | 76 | 86 | 79 | 61 | 53 | 58 | 62 | 59 | 61 | 65 | 67 | 0 | 50 | 67 | 24 | 844,500$/2yrs | |||
Tyler Sikura | 73 | C | 100.00 | 68 | 39 | 83 | 61 | 79 | 82 | 81 | 59 | 67 | 60 | 59 | 60 | 61 | 70 | 72 | 0 | 50 | 67 | 31 | 750,000$/1yrs | |||
Ryan MacInnis | 49 | C | 100.00 | 65 | 39 | 92 | 55 | 87 | 80 | 74 | 57 | 75 | 58 | 59 | 60 | 57 | 66 | 68 | 0 | 50 | 66 | 27 | 964,000$/1yrs | |||
Oskar Back | 80 | C | 100.00 | 73 | 38 | 92 | 59 | 84 | 65 | 83 | 58 | 65 | 57 | 56 | 59 | 55 | 62 | 64 | 0 | 50 | 65 | 23 | 925,000$/3yrs | |||
Dante Fabbro | 44 | D | 100.00 | 64 | 37 | 86 | 72 | 71 | 90 | 87 | 70 | 30 | 76 | 58 | 73 | 52 | 64 | 65 | 0 | 50 | 73 | 24 | 2,130,555$/3yrs | |||
Jamie Drysdale | 2 | D | 100.00 | 56 | 34 | 84 | 73 | 69 | 87 | 86 | 70 | 30 | 77 | 61 | 58 | 53 | 61 | 64 | 0 | 50 | 71 | 21 | 1,775,000$/2yrs | |||
Erik Brannstrom | 55 | D | 100.00 | 59 | 32 | 76 | 71 | 67 | 86 | 87 | 68 | 30 | 73 | 59 | 60 | 51 | 63 | 65 | 0 | 50 | 70 | 23 | 1,325,000$/2yrs | |||
Scott Perunovich | 4 | D | 100.00 | 56 | 36 | 83 | 73 | 65 | 83 | 68 | 72 | 30 | 71 | 58 | 61 | 52 | 64 | 66 | 0 | 50 | 69 | 24 | 1,462,500$/2yrs | |||
Cam Dineen | 54 | D | 100.00 | 59 | 36 | 91 | 65 | 70 | 84 | 79 | 63 | 30 | 66 | 58 | 63 | 50 | 64 | 66 | 0 | 50 | 68 | 24 | 843,750$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Will Bitten | 50 | RW | 100.00 | 57 | 37 | 88 | 60 | 66 | 90 | 92 | 59 | 62 | 60 | 58 | 55 | 59 | 64 | 66 | 0 | 50 | 65 | 24 | 858,333$/3yrs | |||
Dominik Bokk | 96 | LW | 100.00 | 68 | 38 | 91 | 60 | 77 | 81 | 67 | 58 | 53 | 57 | 56 | 54 | 61 | 63 | 64 | 0 | 50 | 64 | 23 | 1,075,833$/2yrs | |||
Viktor Lodin (R) | 92 | C | 100.00 | 65 | 37 | 82 | 58 | 77 | 73 | 64 | 60 | 66 | 58 | 61 | 57 | 64 | 63 | 65 | 0 | 50 | 64 | 24 | 765,000$/2yrs | |||
Samuel Houde | 76 | C | 100.00 | 59 | 37 | 91 | 56 | 69 | 67 | 63 | 55 | 64 | 58 | 53 | 54 | 58 | 62 | 64 | 0 | 50 | 61 | 23 | 750,000$/1yrs | |||
Madison Bowey | 6 | D | 100.00 | 79 | 43 | 87 | 66 | 81 | 79 | 80 | 64 | 30 | 68 | 58 | 67 | 50 | 67 | 69 | 0 | 50 | 71 | 28 | 918,500$/2yrs | |||
Olli Juolevi | 38 | D | 100.00 | 67 | 39 | 91 | 65 | 77 | 80 | 71 | 64 | 30 | 63 | 61 | 62 | 55 | 64 | 66 | 0 | 50 | 68 | 25 | 1,317,500$/2yrs | |||
Jacob Bernard-Docker (R) | 91 | D | 100.00 | 62 | 37 | 83 | 65 | 72 | 80 | 88 | 64 | 30 | 63 | 58 | 62 | 50 | 62 | 64 | 0 | 50 | 68 | 22 | 1,208,333$/2yrs | |||
Louie Belpedio | 47 | D | 100.00 | 73 | 34 | 88 | 61 | 72 | 82 | 84 | 59 | 30 | 58 | 57 | 65 | 50 | 66 | 67 | 0 | 50 | 67 | 27 | 830,500$/2yrs | |||
Dennis Gilbert | 41 | D | 100.00 | 73 | 38 | 76 | 59 | 84 | 69 | 75 | 58 | 30 | 60 | 56 | 63 | 51 | 66 | 68 | 0 | 50 | 67 | 26 | 1,152,000$/3yrs | |||
Matthew Robertson | 61 | D | 100.00 | 78 | 41 | 82 | 52 | 87 | 70 | 93 | 51 | 30 | 54 | 52 | 57 | 45 | 61 | 63 | 0 | 50 | 64 | 21 | 896,667$/3yrs | |||
Axel Andersson | 90 | D | 100.00 | 61 | 37 | 89 | 60 | 71 | 67 | 65 | 58 | 30 | 56 | 55 | 54 | 46 | 62 | 64 | 0 | 50 | 62 | 23 | 871,667$/2yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Keith Petruzzelli | 31 | 100.00 | 67 | 66 | 67 | 86 | 66 | 65 | 67 | 66 | 65 | 67 | 66 | 63 | 69 | 0 | 50 | 70 | 24 | 853,333$/3yrs |
Scratches | ||||||||||||||||||||
Spencer Knight | 33 | 100.00 | 83 | 86 | 84 | 85 | 82 | 81 | 83 | 82 | 81 | 83 | 82 | 61 | 65 | 0 | 50 | 82 | 22 | 3,696,667$/5yrs |
Alexei Melnichuk | 1 | 100.00 | 72 | 74 | 73 | 78 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 65 | 71 | 0 | 50 | 73 | 24 | 750,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rod Brind'Amour | 82 | 95 | 89 | 83 | 77 | 72 | 73 | CAN | 52 | 5 | 0$ |
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 |
---|
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexei Melnichuk | G | 24 | 750,000$ | 750,000$ | RFA | ||||||
Axel Andersson | D | 23 | 871,667$ | 871,667$ | 871,667$ | RFA | |||||
Cam Dineen | D | 24 | 843,750$ | 937,500$ | 750,000$ | RFA | |||||
Cole Smith | LW | 27 | 762,500$ | 750,000$ | 775,000$ | UFA | |||||
Connor McMichael | C | 22 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Dante Fabbro | D | 24 | 2,130,555$ | 1,491,666$ | 2,400,000$ | 2,500,000$ | UFA | ||||
Dennis Gilbert | D | 26 | 1,152,000$ | 1,931,000$ | 762,500$ | 762,500$ | UFA | ||||
Dominik Bokk | LW | 23 | 1,075,833$ | 1,075,833$ | 1,075,833$ | RFA | |||||
Erik Brannstrom | D | 23 | 1,325,000$ | 1,750,000$ | 900,000$ | RFA | |||||
Filip Hallander | C | 22 | 913,333$ | 913,333$ | 913,333$ | RFA | |||||
J.J. Peterka | RW | 21 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | 894,167$ | RFA | |||
Jacob Bernard-Docker | D | 22 | 1,208,333$ | 1,208,333$ | 1,208,333$ | RFA | |||||
Jamie Drysdale | D | 21 | 1,775,000$ | 1,775,000$ | 1,775,000$ | RFA | |||||
Joey Anderson | RW | 24 | 844,500$ | 939,000$ | 750,000$ | RFA | |||||
Joseph Cramarossa | C | 30 | 750,000$ | 750,000$ | UFA | ||||||
Keith Petruzzelli | G | 24 | 853,333$ | 925,000$ | 817,500$ | 817,500$ | UFA | ||||
Logan Shaw | RW | 30 | 910,000$ | 910,000$ | UFA | ||||||
Louie Belpedio | D | 27 | 830,500$ | 911,000$ | 750,000$ | UFA | |||||
Madison Bowey | D | 28 | 918,500$ | 1,087,000$ | 750,000$ | UFA | |||||
Matthew Robertson | D | 21 | 896,667$ | 896,667$ | 896,667$ | 896,667$ | RFA | ||||
Olli Juolevi | D | 25 | 1,317,500$ | 1,885,000$ | 750,000$ | UFA | |||||
Oskar Back | C | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Ryan MacInnis | C | 27 | 964,000$ | 964,000$ | UFA | ||||||
Sam Steel | C | 25 | 959,375$ | 1,093,750$ | 825,000$ | UFA | |||||
Samuel Houde | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Scott Perunovich | D | 24 | 1,462,500$ | 2,175,000$ | 750,000$ | RFA | |||||
Spencer Knight | G | 22 | 3,696,667$ | 2,491,667$ | 2,491,667$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
Tim Gettinger | LW | 25 | 1,148,500$ | 1,547,000$ | 750,000$ | UFA | |||||
Tyler Sikura | C | 31 | 750,000$ | 750,000$ | UFA | ||||||
Viktor Lodin | C | 24 | 765,000$ | 700,000$ | 830,000$ | RFA | |||||
Will Bitten | RW | 24 | 858,333$ | 1,050,000$ | 762,500$ | 762,500$ | UFA |
Forward Lines | |||||||
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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 |
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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 |
3,596,192$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Iowa | |
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 |
3,596,192$ | 3,416,584$ | 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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