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Peroria Peroria 36-27-11, 83pts · 9th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dylan Guenther (R) | 0 | RW | 100.00 | 65 | 41 | 90 | 70 | 67 | 65 | 64 | 76 | 44 | 72 | 71 | 65 | 25 | 47 | 47 | 70 | 68 | 0 | 18 | 894,167$/3yrs | |||
David Gustafsson | 0 | C/LW | 100.00 | 65 | 42 | 95 | 78 | 73 | 56 | 65 | 60 | 62 | 61 | 55 | 78 | 25 | 53 | 53 | 64 | 68 | 0 | 22 | 775,000$/2yrs | |||
Logan Brown | 0 | C/LW | 100.00 | 69 | 44 | 91 | 73 | 85 | 57 | 63 | 62 | 60 | 61 | 58 | 58 | 75 | 56 | 56 | 62 | 68 | 0 | 24 | 750,000$/1yrs | |||
Marcus Bjork (R) | 0 | D | 100.00 | 79 | 44 | 66 | 67 | 76 | 75 | 81 | 76 | 25 | 58 | 50 | 75 | 25 | 47 | 47 | 63 | 68 | 0 | 24 | 925,000$/1yrs | |||
Scratches |
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 |
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Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|
David Gustafsson | C/LW | 22 | 775,000$ | 775,000$ | 775,000$ | ||||||
Dylan Guenther | RW | 18 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | |||||
Logan Brown | C/LW | 24 | 750,000$ | 750,000$ | |||||||
Marcus Bjork | D | 24 | 925,000$ | 925,000$ |
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 | |||||||
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Providence | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 8 | 33 | 47 | 10 | 28 | 168 | 305 | 425 | 38 | 28 | 8 | 86 | 10 | 8 | 1 | 12.50% | 3 | 1 | 66.67% | 1 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 50.0% | 10.7% | 89.3% | 100.0 | FUN |
2 | Portland | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 8 | 33 | 47 | 10 | 29 | 168 | 305 | 425 | 38 | 23 | 11 | 56 | 8 | 5 | 1 | 20.00% | 13 | 5 | 61.54% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | nan% | 3.4% | 78.3% | 81.7 | Unlucky |
3 | Hamilton | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 8 | 33 | 47 | 10 | 26 | 168 | 305 | 425 | 38 | 27 | 6 | 101 | 14 | 14 | 2 | 14.29% | 8 | 2 | 75.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 0.0% | 7.7% | 88.9% | 96.6 | Unlucky |
4 | Iowa | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 8 | 33 | 47 | 10 | 34 | 168 | 305 | 425 | 38 | 19 | 4 | 109 | 17 | 14 | 1 | 7.14% | 7 | 3 | 57.14% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 50.0% | 8.8% | 73.7% | 82.5 | Unlucky |
5 | Wilkes Barre | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 8 | 33 | 47 | 10 | 25 | 168 | 305 | 425 | 38 | 17 | 2 | 39 | 9 | 13 | 3 | 23.08% | 7 | 1 | 85.71% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 100.0% | 20.0% | 94.1% | 114.1 | LUCKY |
6 | Milwaukee | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 5 | -4 | 2 | 0.250 | 1 | 2 | 3 | 0 | 1 | 8 | 33 | 47 | 10 | 39 | 168 | 305 | 425 | 38 | 48 | 20 | 190 | 29 | 14 | 0 | 0.00% | 21 | 2 | 90.48% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 25.0% | 2.6% | 89.6% | 92.1 | Unlucky |
7 | Hartford | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | -3 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 8 | 33 | 47 | 10 | 29 | 168 | 305 | 425 | 38 | 23 | 12 | 77 | 9 | 10 | 1 | 10.00% | 11 | 3 | 72.73% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 0.0% | 3.4% | 82.6% | 86.1 | Unlucky |
8 | Grand Rapids | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 6 | 0.750 | 5 | 10 | 15 | 0 | 2 | 8 | 33 | 47 | 10 | 45 | 168 | 305 | 425 | 38 | 63 | 19 | 180 | 23 | 13 | 3 | 23.08% | 16 | 2 | 87.50% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 50.0% | 11.1% | 93.7% | 104.8 | LUCKY |
9 | Chicago | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 8 | 33 | 47 | 10 | 24 | 168 | 305 | 425 | 38 | 33 | 11 | 111 | 13 | 9 | 4 | 44.44% | 8 | 2 | 75.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 100.0% | 20.8% | 93.9% | 114.8 | LUCKY |
10 | Lake Erie | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | -2 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 8 | 33 | 47 | 10 | 25 | 168 | 305 | 425 | 38 | 31 | 16 | 25 | 10 | 6 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 33.3% | 4.0% | 90.3% | 94.3 | Unlucky |
11 | Hershey | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 8 | 33 | 47 | 10 | 20 | 168 | 305 | 425 | 38 | 34 | 14 | 34 | 7 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 60.0% | 25.0% | 91.2% | 116.2 | LUCKY |
12 | Manitoba | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 2 | 4 | 0 | 1 | 8 | 33 | 47 | 10 | 33 | 168 | 305 | 425 | 38 | 26 | 5 | 57 | 13 | 8 | 1 | 12.50% | 1 | 1 | 0.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 33.3% | 6.1% | 88.5% | 94.5 | Unlucky |
13 | Toronto | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 2 | 4 | 6 | 0 | 2 | 8 | 33 | 47 | 10 | 28 | 168 | 305 | 425 | 38 | 21 | 8 | 21 | 15 | 5 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 100.0% | 7.1% | 100.0% | 107.1 | DULL |
14 | Hersey | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 3 | 6 | 9 | 0 | 1 | 8 | 33 | 47 | 10 | 19 | 168 | 305 | 425 | 38 | 19 | 5 | 12 | 8 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 66.7% | 15.8% | 94.7% | 110.5 | LUCKY |
15 | Lowell | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 8 | 33 | 47 | 10 | 18 | 168 | 305 | 425 | 38 | 25 | 12 | 145 | 10 | 6 | 3 | 50.00% | 10 | 1 | 90.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 100.0% | 22.2% | 96.0% | 118.2 | LUCKY |
16 | Rockford Icehogs | 4 | 1 | 0 | 0 | 2 | 1 | 0 | 0 | 8 | 5 | 3 | 7 | 0.875 | 8 | 16 | 24 | 0 | 1 | 8 | 33 | 47 | 10 | 49 | 168 | 305 | 425 | 38 | 57 | 21 | 62 | 21 | 18 | 3 | 16.67% | 16 | 2 | 87.50% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 62.5% | 16.3% | 91.2% | 107.6 | LUCKY |
17 | Albany | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 3 | 8 | -5 | 2 | 0.333 | 3 | 6 | 9 | 0 | 0 | 8 | 33 | 47 | 10 | 35 | 168 | 305 | 425 | 38 | 40 | 14 | 164 | 19 | 14 | 2 | 14.29% | 17 | 4 | 76.47% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 20.0% | 8.6% | 80.0% | 88.6 | Unlucky |
18 | Quad City | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 8 | 33 | 47 | 10 | 22 | 168 | 305 | 425 | 38 | 24 | 16 | 50 | 10 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 0.0% | 4.5% | 91.7% | 96.2 | DULL |
19 | Rochester | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 8 | 33 | 47 | 10 | 25 | 168 | 305 | 425 | 38 | 27 | 10 | 79 | 13 | 7 | 3 | 42.86% | 7 | 4 | 42.86% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 0.0% | 12.0% | 77.8% | 89.8 | FUN |
20 | Manchester | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | -2 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 8 | 33 | 47 | 10 | 22 | 168 | 305 | 425 | 38 | 25 | 8 | 80 | 15 | 12 | 3 | 25.00% | 10 | 1 | 90.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 0.0% | 13.6% | 80.0% | 93.6 | FUN |
21 | Philadelphie | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 3 | 0.750 | 1 | 1 | 2 | 0 | 1 | 8 | 33 | 47 | 10 | 30 | 168 | 305 | 425 | 38 | 30 | 7 | 38 | 11 | 6 | 1 | 16.67% | 14 | 0 | 100.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 0.0% | 3.3% | 96.7% | 100.0 | DULL |
22 | Charlotte Checkers | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 8 | 1 | 5 | 0.625 | 9 | 18 | 27 | 0 | 0 | 8 | 33 | 47 | 10 | 51 | 168 | 305 | 425 | 38 | 50 | 11 | 318 | 18 | 15 | 5 | 33.33% | 19 | 3 | 84.21% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 44.4% | 17.6% | 84.0% | 101.6 | FUN |
23 | Norfolk | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 2 | 1 | 3 | 0.750 | 3 | 6 | 9 | 0 | 0 | 8 | 33 | 47 | 10 | 19 | 168 | 305 | 425 | 38 | 23 | 14 | 12 | 15 | 13 | 3 | 23.08% | 6 | 0 | 100.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 0.0% | 15.8% | 91.3% | 107.1 | LUCKY |
24 | Springfield | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 8 | 33 | 47 | 10 | 24 | 168 | 305 | 425 | 38 | 24 | 13 | 118 | 12 | 10 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 33.3% | 4.2% | 75.0% | 79.2 | Unlucky |
25 | Binghamton | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 6 | 1.000 | 6 | 10 | 16 | 0 | 1 | 8 | 33 | 47 | 10 | 45 | 168 | 305 | 425 | 38 | 32 | 18 | 82 | 15 | 15 | 2 | 13.33% | 12 | 1 | 91.67% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 80.0% | 13.3% | 93.8% | 107.1 | LUCKY |
26 | Worchester | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 8 | 33 | 47 | 10 | 28 | 168 | 305 | 425 | 38 | 27 | 5 | 103 | 7 | 11 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 66.7% | 7.1% | 85.2% | 92.3 | Unlucky |
27 | Bridgeport | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 4 | -2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 8 | 33 | 47 | 10 | 35 | 168 | 305 | 425 | 38 | 30 | 5 | 59 | 9 | 10 | 1 | 10.00% | 7 | 2 | 71.43% | 1 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 33.3% | 5.7% | 86.7% | 92.4 | Unlucky |
28 | Syracuse | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 0.500 | 5 | 10 | 15 | 0 | 2 | 8 | 33 | 47 | 10 | 44 | 168 | 305 | 425 | 38 | 45 | 15 | 157 | 17 | 13 | 3 | 23.08% | 16 | 3 | 81.25% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 66.7% | 11.4% | 91.1% | 102.5 | Unlucky |
29 | Rochester | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 8 | 33 | 47 | 10 | 24 | 168 | 305 | 425 | 38 | 29 | 7 | 110 | 9 | 7 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 0.0% | 0.0% | 86.2% | 86.2 | Unlucky |
30 | Houston | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 8 | 33 | 47 | 10 | 21 | 168 | 305 | 425 | 38 | 31 | 5 | 35 | 16 | 6 | 2 | 33.33% | 10 | 0 | 100.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 33.3% | 19.0% | 87.1% | 106.1 | FUN |
31 | Chicago Wolf | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 8 | 33 | 47 | 10 | 28 | 168 | 305 | 425 | 38 | 22 | 6 | 8 | 11 | 9 | 2 | 22.22% | 4 | 1 | 75.00% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 0.0% | 7.1% | 90.9% | 98.1 | Unlucky |
_Vs Division | 18 | 6 | 7 | 0 | 5 | 2 | 0 | 0 | 25 | 25 | 0 | 24 | 0.667 | 25 | 50 | 75 | 0 | 3 | 8 | 33 | 47 | 10 | 211 | 168 | 305 | 425 | 38 | 238 | 82 | 544 | 114 | 71 | 11 | 15.49% | 73 | 10 | 86.30% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 48.3% | 11.8% | 89.5% | 101.3 | FUN | |
_Vs Conference | 40 | 13 | 17 | 0 | 5 | 3 | 0 | 2 | 49 | 64 | -15 | 41 | 0.513 | 49 | 95 | 144 | 0 | 10 | 8 | 33 | 47 | 10 | 485 | 168 | 305 | 425 | 38 | 512 | 174 | 1552 | 224 | 157 | 24 | 15.29% | 164 | 30 | 81.71% | 0 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 42.4% | 10.1% | 87.5% | 97.6 | FUN | |
_Since Last GM Reset | 74 | 28 | 27 | 0 | 8 | 8 | 0 | 3 | 96 | 110 | -14 | 83 | 0.561 | 96 | 183 | 279 | 0 | 19 | 8 | 33 | 47 | 10 | 924 | 168 | 305 | 425 | 38 | 953 | 328 | 2718 | 413 | 309 | 54 | 17.48% | 303 | 55 | 81.85% | 2 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 43.3% | 10.4% | 88.5% | 98.8 | FUN | |
Total | 74 | 28 | 27 | 0 | 8 | 8 | 0 | 3 | 96 | 110 | -14 | 83 | 0.561 | 96 | 183 | 279 | 0 | 19 | 8 | 33 | 47 | 10 | 924 | 168 | 305 | 425 | 38 | 953 | 328 | 2718 | 413 | 309 | 54 | 17.48% | 303 | 55 | 81.85% | 2 | 471 | 941 | 50.05% | 459 | 892 | 51.46% | 474 | 960 | 49.38% | 1759 | 1250 | 1840 | 510 | 896 | 442 | 43.3% | 10.4% | 88.5% | 98.8 | FUN |
Puck Time | |
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Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
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Offensive Zone Start | 941 |
Neutral Zone Start | 960 |
Defensive Zone Start | 892 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1404 |
Faceoffs Lost | 1389 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 2.3 | 9.57 |
2nd Period | 6.4 | 20.31 |
3rd Period | 12.1 | 30.68 |
Overtime | 12.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.1 | 0.64 |
2nd Period | 0.6 | 1.65 |
3rd Period | 1.2 | 2.67 |
Overtime | 1.3 | 2.83 |
Even Strenght Goal | 40 |
---|---|
PP Goal | 54 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 21 | 15 |
Lost | 10 | 17 |
Overtime Lost | 6 | 5 |
PP Attempt | 309 |
---|---|
PP Goal | 54 |
PK Attempt | 303 |
PK Goal Against | 55 |
Home | |
---|---|
Shots For | 12.5 |
Shots Against | 12.9 |
Goals For | 1.3 |
Goals Against | 1.5 |
Hits | 5.6 |
Shots Blocked | 4.4 |
Pim | 36.7 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-06 | Peroria | @ | Rockford Icehogs | Peroria3,Rockford Icehogs2 (OT) | RECAP |
2023-10-08 | Rockford Icehogs | @ | Peroria | Rockford Icehogs2,Peroria1 (OT) | RECAP |
2023-10-09 | Peroria | @ | Syracuse | Peroria1,Syracuse0 (OT) | RECAP |
2023-10-11 | Milwaukee | @ | Peroria | Milwaukee1,Peroria0 | RECAP |
2023-10-13 | Grand Rapids | @ | Peroria | Grand Rapids0,Peroria1 | RECAP |
2023-10-16 | Peroria | @ | Albany | Peroria1,Albany4 | RECAP |
2023-10-17 | Peroria | @ | Grand Rapids | Peroria0,Grand Rapids2 | RECAP |
2023-10-19 | Syracuse | @ | Peroria | Syracuse2,Peroria1 | RECAP |
2023-10-22 | Chicago Wolf | @ | Peroria | Chicago Wolf0,Peroria1 | RECAP |
2023-10-23 | Peroria | @ | Milwaukee | Peroria0,Milwaukee2 | RECAP |
2023-10-25 | Charlotte Checkers | @ | Peroria | Charlotte Checkers1,Peroria2 | RECAP |
2023-10-28 | Binghamton | @ | Peroria | Binghamton0,Peroria1 | RECAP |
2023-10-29 | Peroria | @ | Charlotte Checkers | Peroria2,Charlotte Checkers3 (OT) | RECAP |
2023-11-01 | Peroria | @ | Providence | Peroria1,Providence2 (OT) | RECAP |
2023-11-03 | Rochester | @ | Peroria | Rochester2,Peroria0 | RECAP |
2023-11-04 | Peroria | @ | Charlotte Checkers | Peroria1,Charlotte Checkers2 | RECAP |
2023-11-06 | Syracuse | @ | Peroria | Syracuse0,Peroria2 | RECAP |
2023-11-09 | Milwaukee | @ | Peroria | Milwaukee0,Peroria1 (OT) | RECAP |
2023-11-11 | Peroria | @ | Syracuse | Peroria1,Syracuse2 | RECAP |
2023-11-12 | Peroria | @ | Rockford Icehogs | Peroria1,Rockford Icehogs0 (OT) | RECAP |
2023-11-14 | Peroria | @ | Hersey | Peroria1,Hersey0 | RECAP |
2023-11-17 | Peroria | @ | Manchester | Peroria2,Manchester3 (SO) | RECAP |
2023-11-18 | Hershey | @ | Peroria | Hershey0,Peroria1 (OT) | RECAP |
2023-11-20 | Manchester | @ | Peroria | Manchester2,Peroria1 | RECAP |
2023-11-22 | Peroria | @ | Milwaukee | Peroria0,Milwaukee2 | RECAP |
2023-11-24 | Peroria | @ | Bridgeport | Peroria2,Bridgeport3 (OT) | RECAP |
2023-11-26 | Bridgeport | @ | Peroria | Bridgeport1,Peroria0 (SO) | RECAP |
2023-11-28 | Rochester | @ | Peroria | Rochester3,Peroria2 | RECAP |
2023-11-30 | Peroria | @ | Philadelphie | Peroria1,Philadelphie0 | RECAP |
2023-12-03 | Iowa | @ | Peroria | Iowa4,Peroria0 | RECAP |
2023-12-05 | Peroria | @ | Chicago | Peroria5,Chicago1 | RECAP |
2023-12-06 | Worchester | @ | Peroria | Worchester2,Peroria1 | RECAP |
2023-12-08 | Peroria | @ | Lake Erie | Peroria0,Lake Erie1 | RECAP |
2023-12-10 | Quad City | @ | Peroria | Quad City0,Peroria1 | RECAP |
2023-12-12 | Peroria | @ | Norfolk | Peroria3,Norfolk1 | RECAP |
2023-12-14 | Peroria | @ | Worchester | Peroria1,Worchester2 | RECAP |
2023-12-16 | Rockford Icehogs | @ | Peroria | Rockford Icehogs1,Peroria3 | RECAP |
2023-12-18 | Toronto | @ | Peroria | Toronto0,Peroria1 | RECAP |
2023-12-19 | Peroria | @ | Iowa | Peroria3,Iowa1 | RECAP |
2023-12-21 | Albany | @ | Peroria | Albany1,Peroria2 (OT) | RECAP |
2023-12-23 | Peroria | @ | Portland | Peroria0,Portland2 | RECAP |
2023-12-25 | Grand Rapids | @ | Peroria | Grand Rapids0,Peroria1 | RECAP |
2023-12-27 | Portland | @ | Peroria | Portland3,Peroria1 | RECAP |
2023-12-28 | Charlotte Checkers | @ | Peroria | Charlotte Checkers2,Peroria4 | RECAP |
2023-12-30 | Peroria | @ | Rochester | Peroria1,Rochester3 | RECAP |
2023-12-31 | Peroria | @ | Grand Rapids | Peroria3,Grand Rapids2 (OT) | RECAP |
2024-01-02 | Peroria | @ | Binghamton | Peroria3,Binghamton1 | RECAP |
2024-01-03 | Hartford | @ | Peroria | Hartford2,Peroria1 (OT) | RECAP |
2024-01-05 | Peroria | @ | Houston | Peroria1,Houston2 (SO) | RECAP |
2024-01-06 | Peroria | @ | Toronto | Peroria1,Toronto0 | RECAP |
2024-01-08 | Philadelphie | @ | Peroria | Philadelphie1,Peroria0 (OT) | RECAP |
2024-01-10 | Hersey | @ | Peroria | Hersey1,Peroria2 | RECAP |
2024-01-11 | Peroria | @ | Hershey | Peroria4,Hershey3 (OT) | RECAP |
2024-01-12 | Peroria | @ | Wilkes Barre | Peroria2,Wilkes Barre1 | RECAP |
2024-01-14 | Springfield | @ | Peroria | Springfield6,Peroria0 | RECAP |
2024-01-17 | Lake Erie | @ | Peroria | Lake Erie2,Peroria1 (OT) | RECAP |
2024-01-19 | Providence | @ | Peroria | Providence1,Peroria2 | RECAP |
2024-01-20 | Peroria | @ | Hartford | Peroria0,Hartford2 | RECAP |
2024-01-21 | Peroria | @ | Springfield | Peroria1,Springfield0 | RECAP |
2024-01-23 | Hamilton | @ | Peroria | Hamilton0,Peroria2 | RECAP |
2024-01-25 | Lowell | @ | Peroria | Lowell1,Peroria2 | RECAP |
2024-01-26 | Peroria | @ | Hamilton | Peroria0,Hamilton3 | RECAP |
2024-01-27 | Peroria | @ | Rochester | Peroria0,Rochester2 | RECAP |
2024-01-29 | Peroria | @ | Manitoba | Peroria0,Manitoba3 | RECAP |
2024-01-30 | Norfolk | @ | Peroria | Norfolk1,Peroria0 (OT) | RECAP |
2024-02-02 | Wilkes Barre | @ | Peroria | Wilkes Barre0,Peroria3 | RECAP |
2024-02-03 | Peroria | @ | Albany | Peroria0,Albany3 | RECAP |
2024-02-04 | Houston | @ | Peroria | Houston2,Peroria3 | RECAP |
2024-02-06 | Peroria | @ | Quad City | Peroria0,Quad City2 | RECAP |
2024-02-07 | Peroria | @ | Chicago Wolf | Peroria1,Chicago Wolf2 | RECAP |
2024-02-09 | Chicago | @ | Peroria | Chicago1,Peroria0 | RECAP |
2024-02-12 | Manitoba | @ | Peroria | Manitoba0,Peroria2 | RECAP |
2024-02-14 | Binghamton | @ | Peroria | Binghamton1,Peroria2 | RECAP |
2024-02-16 | Peroria | @ | Lowell | Peroria2,Lowell0 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,344,167$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Peroria | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
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 |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,344,167$ | 3,344,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
3,344,104$ | 0$ | 3,344,104$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 31 | 24,589$ | 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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