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IOWA Wild 36-26-4, 76pts · 4th in Conference Ouest |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
Lias Andersson | 0 | C/LW | 100.00 | 54 | 50 | 67 | 68 | 63 | 63 | 64 | 67 | 62 | 64 | 65 | 51 | 67 | 52 | 50 | 1 | 67 | 0 | 25 | 750,000$/1yrs | |||
Robert Bortuzzo | 0 | D | 100.00 | 73 | 55 | 70 | 71 | 84 | 82 | 87 | 69 | 40 | 63 | 63 | 76 | 68 | 87 | 77 | 1 | 49 | 0 | 35 | 1,370,000$/1yrs | |||
Ben Hutton | 0 | D | 100.00 | 62 | 40 | 82 | 73 | 82 | 84 | 78 | 72 | 40 | 65 | 65 | 69 | 70 | 80 | 70 | 1 | 55 | 0 | 30 | 750,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
David Rittich | 0 | 100.00 | 83 | 81 | 80 | 86 | 81 | 80 | 77 | 80 | 80 | 81 | 78 | 78 | 71 | 1 | 69 | 0 | 31 | 750,000$/1yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Colin Chaulk | 69 | 71 | 66 | 66 | 59 | 55 | 1 | CAN | 46 | 2 | 1,000,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Lias Andersson | Wild (MIN) | C/LW | 31 | 26 | 35 | 61 | 14 | 20 | 0 | 21 | 236 | 78 | 131 | 11.02% | 7 | 21.91 | 11 | 9 | 20 | 23 | 0 | 1 | 1 | 33 | 7 | 0 | 69.70% | 33 | 39 | 16 | 0 | 0 | 1.80 | 0 | 0 | ||
Team Total or Average | 31 | 26 | 35 | 61 | 14 | 20 | 0 | 21 | 236 | 78 | 131 | 11.02% | 7 | 21.91 | 11 | 9 | 20 | 23 | 0 | 1 | 1 | 33 | 7 | 0 | 69.70% | 33 | 39 | 16 | 0 | 0 | 1.80 | 0 | 0 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | David Rittich | Wild (MIN) | 16 | 14 | 1 | 0 | 0.910 | 1.91 | 912 | 0 | 2 | 29 | 322 | 153 | 0 | 0 | 0.000 | 0 | 16 | 0 | 1 | 2 | 9 |
Team Total or Average | 16 | 14 | 1 | 0 | 0.910 | 1.91 | 912 | 0 | 2 | 29 | 322 | 153 | 0 | 0 | 0.000 | 0 | 16 | 0 | 1 | 2 | 9 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ben Hutton | D | 30 | 750,000$ | 750,000$ | UFA | ||||||
David Rittich | G | 31 | 750,000$ | 750,000$ | UFA | ||||||
Lias Andersson | C/LW | 25 | 750,000$ | 750,000$ | RFA | ||||||
Robert Bortuzzo | D | 35 | 1,370,000$ | 1,370,000$ | UFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Gulls | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 23 | 90 | 106 | 4 | 55 | 358 | 550 | 611 | 15 | 35 | 16 | 16 | 18 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 58.3% | 12.7% | 80.0% | 92.7 | FUN |
2 | Eagles | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 23 | 90 | 106 | 4 | 74 | 358 | 550 | 611 | 15 | 61 | 23 | 6 | 39 | 6 | 5 | 83.33% | 3 | 1 | 66.67% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 42.9% | 14.9% | 85.2% | 100.1 | FUN |
3 | Marlies | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 13 | 21 | 0 | 0 | 23 | 90 | 106 | 4 | 62 | 358 | 550 | 611 | 15 | 34 | 13 | 8 | 24 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 77.8% | 12.9% | 94.1% | 107.0 | LUCKY |
4 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 2 | 1.000 | 10 | 18 | 28 | 0 | 0 | 23 | 90 | 106 | 4 | 36 | 358 | 550 | 611 | 15 | 19 | 3 | 2 | 16 | 3 | 3 | 100.00% | 1 | 0 | 100.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 77.8% | 27.8% | 89.5% | 117.3 | FUN |
5 | Admirals | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 8 | 12 | 0 | 0 | 23 | 90 | 106 | 4 | 29 | 358 | 550 | 611 | 15 | 36 | 24 | 8 | 32 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 60.0% | 13.8% | 94.4% | 108.2 | LUCKY |
6 | Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 23 | 90 | 106 | 4 | 27 | 358 | 550 | 611 | 15 | 12 | 3 | 2 | 11 | 2 | 2 | 100.00% | 1 | 0 | 100.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 75.0% | 18.5% | 91.7% | 110.2 | LUCKY |
7 | Islanders | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 0.667 | 13 | 24 | 37 | 0 | 0 | 23 | 90 | 106 | 4 | 63 | 358 | 550 | 611 | 15 | 76 | 27 | 16 | 34 | 6 | 1 | 16.67% | 8 | 4 | 50.00% | 1 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 63.2% | 20.6% | 85.5% | 106.2 | FUN |
8 | Bears | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 23 | 90 | 106 | 4 | 48 | 358 | 550 | 611 | 15 | 36 | 9 | 0 | 24 | 5 | 3 | 60.00% | 0 | 0 | 0.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 28.6% | 10.4% | 86.1% | 96.5 | FUN |
9 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 23 | 90 | 106 | 4 | 43 | 358 | 550 | 611 | 15 | 29 | 15 | 12 | 32 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 62.5% | 14.0% | 82.8% | 96.7 | FUN |
10 | Rocket | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 23 | 90 | 106 | 4 | 38 | 358 | 550 | 611 | 15 | 45 | 11 | 10 | 23 | 7 | 4 | 57.14% | 5 | 2 | 60.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 44.4% | 21.1% | 84.4% | 105.5 | FUN |
11 | Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 23 | 90 | 106 | 4 | 54 | 358 | 550 | 611 | 15 | 45 | 16 | 12 | 20 | 2 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 57.1% | 7.4% | 86.7% | 94.1 | Unlucky |
12 | Wolfes | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 5 | 13 | -8 | 1 | 0.167 | 5 | 10 | 15 | 0 | 0 | 23 | 90 | 106 | 4 | 60 | 358 | 550 | 611 | 15 | 64 | 20 | 10 | 43 | 9 | 1 | 11.11% | 4 | 2 | 50.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 26.7% | 8.3% | 79.7% | 88.0 | Unlucky |
13 | Heat | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 14 | 12 | 2 | 4 | 0.500 | 14 | 25 | 39 | 0 | 0 | 23 | 90 | 106 | 4 | 81 | 358 | 550 | 611 | 15 | 72 | 21 | 18 | 56 | 8 | 3 | 37.50% | 9 | 5 | 44.44% | 1 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 61.1% | 17.3% | 83.3% | 100.6 | FUN |
14 | Devils | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 14 | -8 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 23 | 90 | 106 | 4 | 40 | 358 | 550 | 611 | 15 | 80 | 27 | 33 | 23 | 2 | 2 | 100.00% | 9 | 4 | 55.56% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 28.6% | 15.0% | 82.5% | 97.5 | FUN |
15 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 23 | 90 | 106 | 4 | 45 | 358 | 550 | 611 | 15 | 35 | 15 | 10 | 31 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 44.4% | 11.1% | 82.9% | 94.0 | FUN |
16 | Checkers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 23 | 90 | 106 | 4 | 34 | 358 | 550 | 611 | 15 | 40 | 9 | 18 | 32 | 4 | 1 | 25.00% | 9 | 5 | 44.44% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 28.6% | 8.8% | 75.0% | 83.8 | Unlucky |
17 | Reign | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 14 | 12 | 2 | 5 | 0.625 | 14 | 24 | 38 | 0 | 0 | 23 | 90 | 106 | 4 | 93 | 358 | 550 | 611 | 15 | 81 | 27 | 18 | 39 | 5 | 2 | 40.00% | 9 | 1 | 88.89% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 52.2% | 15.1% | 85.2% | 100.2 | FUN |
18 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 23 | 90 | 106 | 4 | 46 | 358 | 550 | 611 | 15 | 36 | 8 | 10 | 24 | 5 | 4 | 80.00% | 5 | 1 | 80.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 55.6% | 19.6% | 86.1% | 105.7 | FUN |
19 | Monsters | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 23 | 90 | 106 | 4 | 65 | 358 | 550 | 611 | 15 | 79 | 26 | 4 | 26 | 4 | 2 | 50.00% | 2 | 2 | 0.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 63.6% | 13.8% | 92.4% | 106.3 | LUCKY |
20 | Thunderbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 1 | 23 | 90 | 106 | 4 | 61 | 358 | 550 | 611 | 15 | 47 | 9 | 14 | 27 | 2 | 1 | 50.00% | 7 | 2 | 71.43% | 1 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 46.2% | 11.5% | 80.9% | 92.3 | FUN |
21 | Roadrunners | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 12 | 2 | 4 | 0.667 | 14 | 26 | 40 | 0 | 0 | 23 | 90 | 106 | 4 | 64 | 358 | 550 | 611 | 15 | 66 | 15 | 20 | 42 | 6 | 1 | 16.67% | 10 | 5 | 50.00% | 3 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 65.0% | 21.9% | 81.8% | 103.7 | FUN |
22 | Senators | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 8 | 0 | 3 | 0.750 | 8 | 16 | 24 | 0 | 0 | 23 | 90 | 106 | 4 | 55 | 358 | 550 | 611 | 15 | 53 | 25 | 12 | 29 | 3 | 3 | 100.00% | 6 | 1 | 83.33% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 41.7% | 14.5% | 84.9% | 99.5 | FUN |
23 | Condors | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 23 | 90 | 106 | 4 | 45 | 358 | 550 | 611 | 15 | 31 | 14 | 8 | 29 | 4 | 3 | 75.00% | 4 | 0 | 100.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 70.0% | 22.2% | 90.3% | 112.5 | FUN |
24 | Bruins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 1 | 23 | 90 | 106 | 4 | 49 | 358 | 550 | 611 | 15 | 44 | 7 | 8 | 26 | 5 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 85.7% | 12.2% | 90.9% | 103.2 | FUN |
25 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 23 | 90 | 106 | 4 | 12 | 358 | 550 | 611 | 15 | 40 | 15 | 10 | 10 | 1 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 0.0% | 0.0% | 87.5% | 87.5 | Unlucky |
26 | Crunch | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 23 | 90 | 106 | 4 | 37 | 358 | 550 | 611 | 15 | 38 | 11 | 6 | 37 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 33.3% | 8.1% | 89.5% | 97.6 | Unlucky |
27 | Barracuda | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 14 | 30 | -16 | 2 | 0.167 | 14 | 27 | 41 | 0 | 0 | 23 | 90 | 106 | 4 | 144 | 358 | 550 | 611 | 15 | 192 | 63 | 37 | 69 | 12 | 2 | 16.67% | 16 | 10 | 37.50% | 0 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 37.5% | 9.7% | 84.4% | 94.1 | FUN |
28 | Wolf Pack | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 9 | 6 | 1.000 | 15 | 28 | 43 | 0 | 0 | 23 | 90 | 106 | 4 | 71 | 358 | 550 | 611 | 15 | 47 | 15 | 8 | 41 | 11 | 8 | 72.73% | 4 | 2 | 50.00% | 1 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 63.6% | 21.1% | 87.2% | 108.4 | FUN |
_Vs Division | 22 | 9 | 12 | 0 | 2 | 2 | 1 | 0 | 74 | 79 | -5 | 26 | 0.591 | 74 | 137 | 211 | 0 | 0 | 23 | 90 | 106 | 4 | 514 | 358 | 550 | 611 | 15 | 494 | 164 | 109 | 270 | 43 | 14 | 32.56% | 51 | 20 | 60.78% | 1 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 50.4% | 14.4% | 84.0% | 98.4 | FUN | |
_Vs Conference | 40 | 18 | 17 | 0 | 2 | 2 | 1 | 0 | 131 | 134 | -3 | 44 | 0.550 | 131 | 241 | 372 | 0 | 0 | 23 | 90 | 106 | 4 | 873 | 358 | 550 | 611 | 15 | 891 | 306 | 191 | 508 | 81 | 32 | 39.51% | 87 | 36 | 58.62% | 6 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 50.3% | 15.0% | 85.0% | 100.0 | FUN | |
_Since Last GM Reset | 66 | 32 | 26 | 0 | 3 | 4 | 1 | 0 | 223 | 216 | 7 | 76 | 0.576 | 223 | 409 | 632 | 0 | 2 | 23 | 90 | 106 | 4 | 1531 | 358 | 550 | 611 | 15 | 1473 | 487 | 336 | 857 | 130 | 56 | 43.08% | 152 | 58 | 61.84% | 7 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 51.4% | 14.6% | 85.3% | 99.9 | FUN | |
Total | 66 | 32 | 26 | 0 | 3 | 4 | 1 | 0 | 223 | 216 | 7 | 76 | 0.576 | 223 | 409 | 632 | 0 | 2 | 23 | 90 | 106 | 4 | 1531 | 358 | 550 | 611 | 15 | 1473 | 487 | 336 | 857 | 130 | 56 | 43.08% | 152 | 58 | 61.84% | 7 | 431 | 858 | 50.23% | 458 | 915 | 50.05% | 655 | 1267 | 51.70% | 1443 | 877 | 1450 | 565 | 1081 | 537 | 51.4% | 14.6% | 85.3% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 858 |
Neutral Zone Start | 1267 |
Defensive Zone Start | 915 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1544 |
Faceoffs Lost | 1496 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 5.4 | 9.57 |
2nd Period | 13.8 | 20.31 |
3rd Period | 23.0 | 30.68 |
Overtime | 23.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 160 |
---|---|
PP Goal | 56 |
PK Goal | 7 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 17 | 19 |
Lost | 14 | 12 |
Overtime Lost | 1 | 3 |
PP Attempt | 130 |
---|---|
PP Goal | 56 |
PK Attempt | 152 |
PK Goal Against | 58 |
Home | |
---|---|
Shots For | 23.2 |
Shots Against | 22.3 |
Goals For | 3.4 |
Goals Against | 3.3 |
Hits | 13.0 |
Shots Blocked | 7.4 |
Pim | 5.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2023-10-09 | IOW | VS | SJB | IOW2,SJB5 | RECAP | |||||||||
2023-10-11 | IOW | VS | EAG | IOW4,EAG2 | RECAP | |||||||||
2023-10-13 | SJB | VS | IOW | SJB6,IOW1 | RECAP | |||||||||
2023-10-17 | GRG | VS | IOW | GRG5,IOW0 | RECAP | |||||||||
2023-10-20 | IOW | VS | TUC | IOW4,TUC5 | RECAP | |||||||||
2023-10-22 | IOW | VS | WFS | IOW1,WFS5 | RECAP | |||||||||
2023-10-25 | WFS | VS | IOW | WFS3,IOW0 | RECAP | |||||||||
2023-10-27 | IOW | VS | MIL | IOW2,MIL1 | RECAP | |||||||||
2023-10-28 | IOW | VS | SJB | IOW2,SJB9 | RECAP | |||||||||
2023-10-31 | IOW | VS | TEX | IOW1,TEX5 | RECAP | |||||||||
2023-11-01 | TUC | VS | IOW | TUC2,IOW4 | RECAP | |||||||||
2023-11-06 | STC | VS | IOW | STC3,IOW2 | RECAP | |||||||||
2023-11-08 | IOW | VS | STC | IOW5,STC4 (SO) | RECAP | |||||||||
2023-11-12 | BGP | VS | IOW | BGP2,IOW4 | RECAP | |||||||||
2023-11-17 | SJB | VS | IOW | SJB4,IOW2 | RECAP | |||||||||
2023-11-19 | IOW | VS | HAR | IOW6,HAR2 | RECAP | |||||||||
2023-11-23 | HAR | VS | IOW | HAR1,IOW3 | RECAP | |||||||||
2023-11-26 | IOW | VS | ONT | IOW4,ONT1 | RECAP | |||||||||
2023-11-28 | IOW | VS | SYR | IOW0,SYR2 | RECAP | |||||||||
2023-11-30 | RFD | VS | IOW | RFD2,IOW4 | RECAP | |||||||||
2023-12-03 | IOW | VS | WFS | IOW4,WFS5 (OT) | RECAP | |||||||||
2023-12-06 | BKS | VS | IOW | BKS2,IOW5 | RECAP | |||||||||
2023-12-11 | IOW | VS | MIL | IOW2,MIL1 | RECAP | |||||||||
2023-12-12 | Ame | VS | IOW | Ame3,IOW1 | RECAP | |||||||||
2023-12-17 | IOW | VS | MAN | IOW4,MAN2 | RECAP | |||||||||
2023-12-19 | MAR | VS | IOW | MAR1,IOW5 | RECAP | |||||||||
2023-12-22 | LAV | VS | IOW | LAV3,IOW5 | RECAP | |||||||||
2023-12-25 | IOW | VS | SJB | IOW6,SJB2 | RECAP | |||||||||
2023-12-28 | IOW | VS | PRO | IOW5,PRO0 | RECAP | |||||||||
2023-12-29 | TEX | VS | IOW | TEX1,IOW3 | RECAP | |||||||||
2024-01-02 | IOW | VS | EAG | IOW1,EAG3 | RECAP | |||||||||
2024-01-03 | UTI | VS | IOW | UTI2,IOW10 | RECAP | |||||||||
2024-01-08 | MAN | VS | IOW | MAN3,IOW5 | RECAP | |||||||||
2024-01-11 | IOW | VS | ONT | IOW4,ONT3 (OT) | RECAP | |||||||||
2024-01-13 | IOW | VS | SPR | IOW5,SPR0 | RECAP | |||||||||
2024-01-14 | SYR | VS | IOW | SYR2,IOW3 | RECAP | |||||||||
2024-01-19 | CLE | VS | IOW | CLE3,IOW5 | RECAP | |||||||||
2024-01-24 | IOW | VS | BGP | IOW3,BGP1 | RECAP | |||||||||
2024-01-26 | HAR | VS | IOW | HAR3,IOW6 | RECAP | |||||||||
2024-01-28 | IOW | VS | STC | IOW2,STC3 | RECAP | |||||||||
2024-01-31 | ONT | VS | IOW | ONT4,IOW3 (OT) | RECAP | |||||||||
2024-02-02 | IOW | VS | EAG | IOW6,EAG4 | RECAP | |||||||||
2024-02-04 | IOW | VS | WBS | IOW5,WBS1 | RECAP | |||||||||
2024-02-07 | IOW | VS | CHA | IOW2,CHA5 | RECAP | |||||||||
2024-02-08 | SPR | VS | IOW | SPR9,IOW2 | RECAP | |||||||||
2024-02-12 | SDG | VS | IOW | SDG4,IOW3 | RECAP | |||||||||
2024-02-16 | IOW | VS | BNG | IOW2,BNG9 | RECAP | |||||||||
2024-02-19 | HER | VS | IOW | HER1,IOW2 | RECAP | |||||||||
2024-02-22 | IOW | VS | BEL | IOW2,BEL3 (OT) | RECAP | |||||||||
2024-02-23 | STC | VS | IOW | STC2,IOW5 | RECAP | |||||||||
2024-02-28 | ONT | VS | IOW | ONT4,IOW3 | RECAP | |||||||||
2024-03-01 | IOW | VS | RFD | IOW1,RFD4 | RECAP | |||||||||
2024-03-04 | BGP | VS | IOW | BGP8,IOW6 | RECAP | |||||||||
2024-03-08 | IOW | VS | SDG | IOW4,SDG3 (OT) | RECAP | |||||||||
2024-03-09 | BEL | VS | IOW | BEL5,IOW6 | RECAP | |||||||||
2024-03-12 | IOW | VS | BKS | IOW5,BKS1 | RECAP | |||||||||
2024-03-14 | BNG | VS | IOW | BNG5,IOW4 | RECAP | |||||||||
2024-03-17 | IOW | VS | MAR | IOW3,MAR1 | RECAP | |||||||||
2024-03-19 | CHA | VS | IOW | CHA5,IOW1 | RECAP | |||||||||
2024-03-21 | IOW | VS | LAV | IOW3,LAV4 | RECAP | |||||||||
2024-03-23 | IOW | VS | CLE | IOW4,CLE3 | RECAP | |||||||||
2024-03-25 | SJB | VS | IOW | SJB4,IOW1 | RECAP | |||||||||
2024-03-29 | PRO | VS | IOW | PRO4,IOW1 | RECAP | |||||||||
2024-04-02 | TUC | VS | IOW | TUC5,IOW6 (OT) | RECAP | |||||||||
2024-04-04 | IOW | VS | HER | IOW3,HER4 (OT) | RECAP | |||||||||
2024-04-06 | IOW | VS | Ame | IOW5,Ame2 | RECAP | |||||||||
2024-04-09 | EAG | VS | IOW | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2024-04-12 | IOW | VS | TUC | |||||||||||
2024-04-14 | IOW | VS | GRG | |||||||||||
2024-04-16 | WFS | VS | IOW | |||||||||||
2024-04-18 | IOW | VS | LEV | |||||||||||
2024-04-20 | IOW | VS | UTI | |||||||||||
2024-04-22 | MIL | VS | IOW | |||||||||||
2024-04-27 | EAG | VS | IOW | |||||||||||
2024-05-02 | WBS | VS | IOW | |||||||||||
2024-05-03 | IOW | VS | TEX | |||||||||||
2024-05-05 | IOW | VS | SJB | |||||||||||
2024-05-08 | GRG | VS | IOW | |||||||||||
2024-05-09 | IOW | VS | HAR | |||||||||||
2024-05-14 | LEV | VS | IOW | |||||||||||
2024-05-20 | LEV | VS | IOW | |||||||||||
2024-05-26 | WBS | VS | IOW |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
150,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | IOWA | |
Capacity | 8000 | |
Season Ticket Holders | 20% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 3000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 130176 | 77115 | |||
Attendance PCT | 81.36% | 80.33% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
9 | 6478 - 80.97% | 160,675$ | 5,141,597$ | 8000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
150,000$ | 150,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
872,717$ | 0$ | 89,752$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,446,074$ | 57 | 4,894$ | 249,594$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
249,594$ | 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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