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Syracuse Syracuse 40-26-8, 88pts · 6th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi | 0 | C/LW | 100.00 | 66 | 55 | 93 | 72 | 55 | 79 | 84 | 62 | 78 | 62 | 58 | 60 | 55 | 46 | 46 | 64 | 68 | 0 | 23 | 925,000$/1yrs | |||
Tyson Foerster (R) | 0 | C/RW | 100.00 | 73 | 72 | 76 | 63 | 72 | 63 | 64 | 63 | 79 | 60 | 62 | 64 | 59 | 45 | 45 | 63 | 68 | 0 | 20 | 863,333$/2yrs | |||
Joshua Dunne (R) | 0 | C | 100.00 | 77 | 80 | 70 | 66 | 80 | 65 | 67 | 60 | 75 | 54 | 62 | 65 | 59 | 45 | 45 | 63 | 68 | 0 | 24 | 874,125$/1yrs | |||
Kaapo Kakko | 0 | RW | 100.00 | 61 | 42 | 96 | 84 | 74 | 70 | 80 | 68 | 31 | 72 | 73 | 69 | 63 | 64 | 65 | 72 | 53 | 0 | 21 | 2,100,000$/2yrs | |||
Conor Timmins | 0 | D | 100.00 | 73 | 43 | 90 | 77 | 70 | 67 | 46 | 68 | 25 | 70 | 49 | 64 | 25 | 55 | 56 | 62 | 68 | 0 | 24 | 850,000$/1yrs | |||
Jake Bean | 0 | D | 100.00 | 73 | 43 | 87 | 80 | 69 | 69 | 60 | 65 | 25 | 67 | 49 | 77 | 75 | 58 | 59 | 65 | 68 | 0 | 24 | 2,333,333$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Patrick Maroon | 0 | LW/RW | 100.00 | 87 | 99 | 50 | 72 | 89 | 56 | 98 | 61 | 30 | 60 | 57 | 60 | 25 | 78 | 86 | 62 | 20 | 0 | 34 | 1,000,000$/2yrs | |||
Carson Meyer (R) | 0 | RW | 100.00 | 84 | 44 | 87 | 64 | 66 | 55 | 75 | 62 | 25 | 57 | 55 | 67 | 25 | 45 | 45 | 62 | 20 | 0 | 25 | 750,000$/1yrs | |||
Joey Anderson | 0 | RW | 100.00 | 73 | 43 | 99 | 76 | 69 | 61 | 82 | 63 | 25 | 58 | 70 | 77 | 25 | 56 | 56 | 70 | 20 | 0 | 24 | 750,000$/1yrs | |||
Vinni Lettieri | 0 | C/RW | 100.00 | 73 | 69 | 82 | 67 | 69 | 68 | 68 | 68 | 80 | 63 | 68 | 67 | 65 | 53 | 53 | 68 | 20 | 0 | 27 | 750,000$/1yrs | |||
Jeremy Davies | 0 | D | 100.00 | 65 | 66 | 62 | 68 | 66 | 73 | 79 | 53 | 25 | 39 | 51 | 57 | 48 | 46 | 46 | 56 | 20 | 0 | 25 | 750,000$/1yrs | |||
Matt Irwin | 0 | D | 100.00 | 84 | 88 | 83 | 73 | 77 | 61 | 59 | 57 | 25 | 44 | 48 | 80 | 25 | 69 | 69 | 60 | 56 | 0 | 34 | 750,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Yaroslav Askarov | 0 | 100.00 | 56 | 44 | 55 | 71 | 61 | 59 | 54 | 60 | 60 | 59 | 30 | 44 | 44 | 57 | 68 | 0 | 20 | 925,000$/3yrs |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi | C/LW | 23 | 925,000$ | 925,000$ | |||||||
Carson Meyer | RW | 25 | 750,000$ | 750,000$ | |||||||
Conor Timmins | D | 24 | 850,000$ | 850,000$ | |||||||
Jake Bean | D | 24 | 2,333,333$ | 2,333,333$ | 2,333,333$ | ||||||
Jeremy Davies | D | 25 | 750,000$ | 750,000$ | |||||||
Joey Anderson | RW | 24 | 750,000$ | 750,000$ | |||||||
Joshua Dunne | C | 24 | 874,125$ | 874,125$ | |||||||
Kaapo Kakko | RW | 21 | 2,100,000$ | 2,100,000$ | 2,100,000$ | ||||||
Matt Irwin | D | 34 | 750,000$ | 750,000$ | |||||||
Patrick Maroon | LW/RW | 34 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Tyson Foerster | C/RW | 20 | 863,333$ | 863,333$ | 863,333$ | ||||||
Vinni Lettieri | C/RW | 27 | 750,000$ | 750,000$ | |||||||
Yaroslav Askarov | G | 20 | 925,000$ | 925,000$ | 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 | 6 | 9 | 0 | 0 | 18 | 43 | 60 | 8 | 32 | 165 | 331 | 431 | 28 | 16 | 3 | 23 | 12 | 13 | 1 | 7.69% | 4 | 2 | 50.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 66.7% | 9.4% | 81.3% | 90.6 | FUN |
2 | Portland | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 1 | 18 | 43 | 60 | 8 | 22 | 165 | 331 | 431 | 28 | 24 | 6 | 96 | 15 | 10 | 3 | 30.00% | 8 | 1 | 87.50% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 0.0% | 13.6% | 91.7% | 105.3 | LUCKY |
3 | Hamilton | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 18 | 43 | 60 | 8 | 29 | 165 | 331 | 431 | 28 | 20 | 3 | 79 | 16 | 10 | 2 | 20.00% | 12 | 3 | 75.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 66.7% | 13.8% | 80.0% | 93.8 | FUN |
4 | Iowa | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 18 | 43 | 60 | 8 | 31 | 165 | 331 | 431 | 28 | 26 | 5 | 112 | 13 | 10 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 75.0% | 9.7% | 92.3% | 102.0 | LUCKY |
5 | Wilkes Barre | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 18 | 43 | 60 | 8 | 24 | 165 | 331 | 431 | 28 | 26 | 10 | 40 | 14 | 14 | 5 | 35.71% | 5 | 1 | 80.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | nan% | 20.8% | 96.2% | 117.0 | LUCKY |
6 | Milwaukee | 4 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 9 | 6 | 3 | 6 | 0.750 | 9 | 18 | 27 | 0 | 1 | 18 | 43 | 60 | 8 | 37 | 165 | 331 | 431 | 28 | 58 | 16 | 180 | 19 | 20 | 6 | 30.00% | 15 | 2 | 86.67% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 42.9% | 24.3% | 89.7% | 114.0 | FUN |
7 | Hartford | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 18 | 43 | 60 | 8 | 24 | 165 | 331 | 431 | 28 | 35 | 11 | 137 | 11 | 8 | 2 | 25.00% | 11 | 1 | 90.91% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 40.0% | 16.7% | 88.6% | 105.2 | FUN |
8 | Grand Rapids | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 6 | 6 | 0 | 5 | 0.625 | 6 | 12 | 18 | 0 | 0 | 18 | 43 | 60 | 8 | 45 | 165 | 331 | 431 | 28 | 58 | 21 | 165 | 14 | 16 | 4 | 25.00% | 16 | 4 | 75.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 13.3% | 89.7% | 103.0 | FUN |
9 | Chicago | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 10 | 15 | 0 | 0 | 18 | 43 | 60 | 8 | 26 | 165 | 331 | 431 | 28 | 20 | 6 | 34 | 7 | 8 | 3 | 37.50% | 6 | 0 | 100.00% | 1 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 40.0% | 19.2% | 85.0% | 104.2 | FUN |
10 | Lake Erie | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 18 | 43 | 60 | 8 | 23 | 165 | 331 | 431 | 28 | 27 | 8 | 56 | 13 | 7 | 1 | 14.29% | 8 | 2 | 75.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 100.0% | 13.0% | 92.6% | 105.6 | LUCKY |
11 | Hershey | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 18 | 43 | 60 | 8 | 22 | 165 | 331 | 431 | 28 | 23 | 6 | 104 | 15 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 0.0% | 9.1% | 87.0% | 96.0 | FUN |
12 | Manitoba | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 18 | 43 | 60 | 8 | 29 | 165 | 331 | 431 | 28 | 27 | 6 | 83 | 10 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 66.7% | 10.3% | 96.3% | 106.6 | LUCKY |
13 | Toronto | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 18 | 43 | 60 | 8 | 17 | 165 | 331 | 431 | 28 | 22 | 10 | 77 | 10 | 6 | 1 | 16.67% | 12 | 3 | 75.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 0.0% | 5.9% | 72.7% | 78.6 | Unlucky |
14 | Hersey | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 18 | 43 | 60 | 8 | 26 | 165 | 331 | 431 | 28 | 26 | 9 | 79 | 5 | 8 | 3 | 37.50% | 12 | 5 | 58.33% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 15.4% | 76.9% | 92.3 | FUN |
15 | Lowell | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 7 | 11 | 0 | 0 | 18 | 43 | 60 | 8 | 33 | 165 | 331 | 431 | 28 | 20 | 4 | 31 | 15 | 10 | 3 | 30.00% | 8 | 1 | 87.50% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 12.1% | 90.0% | 102.1 | FUN |
16 | Rockford Icehogs | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.500 | 7 | 13 | 20 | 0 | 0 | 18 | 43 | 60 | 8 | 39 | 165 | 331 | 431 | 28 | 56 | 18 | 120 | 27 | 17 | 1 | 5.88% | 17 | 2 | 88.24% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 54.5% | 17.9% | 87.5% | 105.4 | FUN |
17 | Albany | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 43 | 60 | 8 | 24 | 165 | 331 | 431 | 28 | 18 | 9 | 230 | 10 | 8 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 8.3% | 72.2% | 80.6 | Unlucky |
18 | Quad City | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 18 | 43 | 60 | 8 | 27 | 165 | 331 | 431 | 28 | 31 | 9 | 135 | 8 | 10 | 2 | 20.00% | 15 | 2 | 86.67% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 25.0% | 11.1% | 83.9% | 95.0 | FUN |
19 | Rochester | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 18 | 43 | 60 | 8 | 31 | 165 | 331 | 431 | 28 | 25 | 8 | 117 | 15 | 12 | 2 | 16.67% | 11 | 1 | 90.91% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 83.3% | 22.6% | 92.0% | 114.6 | LUCKY |
20 | Manchester | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 18 | 43 | 60 | 8 | 29 | 165 | 331 | 431 | 28 | 33 | 6 | 28 | 13 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | nan% | 0.0% | 90.9% | 90.9 | Unlucky |
21 | Philadelphie | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 5 | 8 | 0 | 1 | 18 | 43 | 60 | 8 | 32 | 165 | 331 | 431 | 28 | 32 | 10 | 37 | 10 | 8 | 2 | 25.00% | 11 | 2 | 81.82% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 9.4% | 90.6% | 100.0 | FUN |
22 | Charlotte Checkers | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.250 | 4 | 7 | 11 | 0 | 0 | 18 | 43 | 60 | 8 | 39 | 165 | 331 | 431 | 28 | 61 | 24 | 58 | 29 | 20 | 4 | 20.00% | 19 | 5 | 73.68% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 0.0% | 10.3% | 90.2% | 100.4 | FUN |
23 | Norfolk | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 18 | 43 | 60 | 8 | 27 | 165 | 331 | 431 | 28 | 27 | 10 | 105 | 9 | 11 | 2 | 18.18% | 5 | 2 | 60.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 18.5% | 81.5% | 100.0 | FUN |
24 | Springfield | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 18 | 43 | 60 | 8 | 39 | 165 | 331 | 431 | 28 | 22 | 8 | 35 | 13 | 11 | 6 | 54.55% | 5 | 1 | 80.00% | 1 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 17.9% | 90.9% | 108.9 | FUN |
25 | Binghamton | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 18 | 43 | 60 | 8 | 36 | 165 | 331 | 431 | 28 | 17 | 1 | 18 | 12 | 10 | 3 | 30.00% | 4 | 0 | 100.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 11.1% | 94.1% | 105.2 | LUCKY |
26 | Worchester | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 3 | 0.750 | 2 | 4 | 6 | 0 | 1 | 18 | 43 | 60 | 8 | 26 | 165 | 331 | 431 | 28 | 26 | 6 | 113 | 11 | 9 | 1 | 11.11% | 4 | 1 | 75.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 7.7% | 92.3% | 100.0 | DULL |
27 | Bridgeport | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 18 | 43 | 60 | 8 | 25 | 165 | 331 | 431 | 28 | 27 | 8 | 30 | 12 | 8 | 4 | 50.00% | 10 | 2 | 80.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 100.0% | 24.0% | 92.6% | 116.6 | LUCKY |
28 | Rochester | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 6 | 6 | 0 | 3 | 0.750 | 6 | 9 | 15 | 0 | 0 | 18 | 43 | 60 | 8 | 28 | 165 | 331 | 431 | 28 | 30 | 13 | 105 | 8 | 13 | 3 | 23.08% | 10 | 1 | 90.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 37.5% | 21.4% | 80.0% | 101.4 | FUN |
29 | Houston | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 18 | 43 | 60 | 8 | 30 | 165 | 331 | 431 | 28 | 25 | 9 | 161 | 8 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 100.0% | 6.7% | 92.0% | 98.7 | DULL |
30 | Peroria | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 5 | 0.625 | 4 | 8 | 12 | 0 | 0 | 18 | 43 | 60 | 8 | 45 | 165 | 331 | 431 | 28 | 44 | 14 | 141 | 25 | 16 | 3 | 18.75% | 13 | 3 | 76.92% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 33.3% | 8.9% | 88.6% | 97.5 | Unlucky |
31 | Chicago Wolf | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 6 | 0.750 | 8 | 16 | 24 | 0 | 2 | 18 | 43 | 60 | 8 | 49 | 165 | 331 | 431 | 28 | 39 | 20 | 179 | 21 | 17 | 6 | 35.29% | 12 | 3 | 75.00% | 0 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.0% | 16.3% | 87.2% | 103.5 | FUN |
_Vs Division | 22 | 6 | 8 | 0 | 4 | 2 | 0 | 0 | 37 | 33 | 4 | 22 | 0.500 | 37 | 72 | 109 | 0 | 4 | 18 | 43 | 60 | 8 | 257 | 165 | 331 | 431 | 28 | 282 | 85 | 883 | 117 | 94 | 18 | 19.15% | 90 | 17 | 81.11% | 1 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 54.3% | 14.4% | 88.3% | 102.7 | FUN | |
_Vs Conference | 40 | 14 | 18 | 0 | 4 | 4 | 0 | 0 | 60 | 57 | 3 | 40 | 0.500 | 60 | 115 | 175 | 0 | 7 | 18 | 43 | 60 | 8 | 487 | 165 | 331 | 431 | 28 | 544 | 165 | 1562 | 223 | 173 | 36 | 20.81% | 164 | 34 | 79.27% | 1 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 51.1% | 12.3% | 89.5% | 101.8 | FUN | |
_Since Last GM Reset | 74 | 32 | 26 | 0 | 7 | 6 | 1 | 2 | 129 | 112 | 17 | 88 | 0.595 | 129 | 247 | 376 | 0 | 15 | 18 | 43 | 60 | 8 | 946 | 165 | 331 | 431 | 28 | 941 | 297 | 2908 | 420 | 338 | 77 | 22.78% | 302 | 61 | 79.80% | 2 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.5% | 13.6% | 88.1% | 101.7 | FUN | |
Total | 74 | 32 | 26 | 0 | 7 | 6 | 1 | 2 | 129 | 112 | 17 | 88 | 0.595 | 129 | 247 | 376 | 0 | 15 | 18 | 43 | 60 | 8 | 946 | 165 | 331 | 431 | 28 | 941 | 297 | 2908 | 420 | 338 | 77 | 22.78% | 302 | 61 | 79.80% | 2 | 492 | 918 | 53.59% | 498 | 953 | 52.26% | 506 | 1009 | 50.15% | 1895 | 1394 | 1698 | 496 | 887 | 448 | 50.5% | 13.6% | 88.1% | 101.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 11 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 918 |
Neutral Zone Start | 1009 |
Defensive Zone Start | 953 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 28 |
Faceoffs | |
---|---|
Faceoffs Won | 1496 |
Faceoffs Lost | 1384 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 2.2 | 9.57 |
2nd Period | 6.7 | 20.31 |
3rd Period | 12.5 | 30.68 |
Overtime | 12.9 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.2 | 0.64 |
2nd Period | 0.8 | 1.65 |
3rd Period | 1.6 | 2.67 |
Overtime | 1.7 | 2.83 |
Even Strenght Goal | 50 |
---|---|
PP Goal | 77 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 16 | 24 |
Lost | 17 | 9 |
Overtime Lost | 4 | 4 |
PP Attempt | 338 |
---|---|
PP Goal | 77 |
PK Attempt | 302 |
PK Goal Against | 61 |
Home | |
---|---|
Shots For | 12.8 |
Shots Against | 12.7 |
Goals For | 1.7 |
Goals Against | 1.5 |
Hits | 5.7 |
Shots Blocked | 4.0 |
Pim | 39.3 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-06 | Grand Rapids | @ | Syracuse | Grand Rapids2,Syracuse3 | RECAP |
2023-10-08 | Syracuse | @ | Rochester | Syracuse2,Rochester1 (OT) | RECAP |
2023-10-09 | Peroria | @ | Syracuse | Peroria1,Syracuse0 (OT) | RECAP |
2023-10-11 | Syracuse | @ | Charlotte Checkers | Syracuse3,Charlotte Checkers2 | RECAP |
2023-10-13 | Charlotte Checkers | @ | Syracuse | Charlotte Checkers1,Syracuse0 | RECAP |
2023-10-15 | Syracuse | @ | Chicago Wolf | Syracuse1,Chicago Wolf0 | RECAP |
2023-10-17 | Rockford Icehogs | @ | Syracuse | Rockford Icehogs2,Syracuse1 | RECAP |
2023-10-19 | Syracuse | @ | Peroria | Syracuse2,Peroria1 | RECAP |
2023-10-21 | Syracuse | @ | Milwaukee | Syracuse2,Milwaukee1 (OT) | RECAP |
2023-10-23 | Syracuse | @ | Grand Rapids | Syracuse2,Grand Rapids1 (OT) | RECAP |
2023-10-25 | Chicago Wolf | @ | Syracuse | Chicago Wolf3,Syracuse1 | RECAP |
2023-10-27 | Milwaukee | @ | Syracuse | Milwaukee3,Syracuse2 | RECAP |
2023-10-29 | Syracuse | @ | Rockford Icehogs | Syracuse1,Rockford Icehogs2 | RECAP |
2023-10-31 | Albany | @ | Syracuse | Albany2,Syracuse0 | RECAP |
2023-11-02 | Manchester | @ | Syracuse | Manchester1,Syracuse0 | RECAP |
2023-11-05 | Syracuse | @ | Binghamton | Syracuse2,Binghamton1 | RECAP |
2023-11-06 | Syracuse | @ | Peroria | Syracuse0,Peroria2 | RECAP |
2023-11-09 | Philadelphie | @ | Syracuse | Philadelphie0,Syracuse1 (OT) | RECAP |
2023-11-11 | Peroria | @ | Syracuse | Peroria1,Syracuse2 | RECAP |
2023-11-12 | Syracuse | @ | Quad City | Syracuse1,Quad City2 (OT) | RECAP |
2023-11-14 | Quad City | @ | Syracuse | Quad City3,Syracuse2 | RECAP |
2023-11-16 | Syracuse | @ | Iowa | Syracuse2,Iowa0 | RECAP |
2023-11-18 | Syracuse | @ | Toronto | Syracuse1,Toronto3 | RECAP |
2023-11-20 | Hartford | @ | Syracuse | Hartford2,Syracuse1 (SO) | RECAP |
2023-11-22 | Hamilton | @ | Syracuse | Hamilton4,Syracuse3 | RECAP |
2023-11-24 | Syracuse | @ | Albany | Syracuse2,Albany3 | RECAP |
2023-11-26 | Syracuse | @ | Rockford Icehogs | Syracuse3,Rockford Icehogs2 | RECAP |
2023-11-28 | Norfolk | @ | Syracuse | Norfolk4,Syracuse2 | RECAP |
2023-11-30 | Syracuse | @ | Worchester | Syracuse1,Worchester0 | RECAP |
2023-12-03 | Rockford Icehogs | @ | Syracuse | Rockford Icehogs1,Syracuse2 (OT) | RECAP |
2023-12-04 | Syracuse | @ | Hartford | Syracuse3,Hartford2 | RECAP |
2023-12-07 | Binghamton | @ | Syracuse | Binghamton0,Syracuse2 | RECAP |
2023-12-08 | Lowell | @ | Syracuse | Lowell1,Syracuse2 | RECAP |
2023-12-10 | Syracuse | @ | Lowell | Syracuse2,Lowell1 | RECAP |
2023-12-12 | Springfield | @ | Syracuse | Springfield1,Syracuse3 | RECAP |
2023-12-14 | Syracuse | @ | Hershey | Syracuse2,Hershey0 | RECAP |
2023-12-16 | Syracuse | @ | Wilkes Barre | Syracuse2,Wilkes Barre0 | RECAP |
2023-12-19 | Providence | @ | Syracuse | Providence1,Syracuse0 (OT) | RECAP |
2023-12-20 | Syracuse | @ | Manitoba | Syracuse3,Manitoba0 | RECAP |
2023-12-22 | Chicago | @ | Syracuse | Chicago2,Syracuse3 | RECAP |
2023-12-24 | Syracuse | @ | Philadelphie | Syracuse2,Philadelphie3 (SO) | RECAP |
2023-12-26 | Hershey | @ | Syracuse | Hershey3,Syracuse0 | RECAP |
2023-12-28 | Lake Erie | @ | Syracuse | Lake Erie2,Syracuse1 | RECAP |
2023-12-30 | Rochester | @ | Syracuse | Rochester4,Syracuse5 (SO) | RECAP |
2024-01-01 | Syracuse | @ | Lake Erie | Syracuse2,Lake Erie0 | RECAP |
2024-01-02 | Syracuse | @ | Portland | Syracuse1,Portland2 | RECAP |
2024-01-03 | Portland | @ | Syracuse | Portland0,Syracuse2 | RECAP |
2024-01-04 | Charlotte Checkers | @ | Syracuse | Charlotte Checkers2,Syracuse1 | RECAP |
2024-01-06 | Syracuse | @ | Grand Rapids | Syracuse1,Grand Rapids2 (OT) | RECAP |
2024-01-08 | Worchester | @ | Syracuse | Worchester2,Syracuse1 (OT) | RECAP |
2024-01-10 | Syracuse | @ | Milwaukee | Syracuse2,Milwaukee0 | RECAP |
2024-01-11 | Syracuse | @ | Charlotte Checkers | Syracuse0,Charlotte Checkers1 | RECAP |
2024-01-13 | Houston | @ | Syracuse | Houston0,Syracuse2 | RECAP |
2024-01-14 | Syracuse | @ | Manchester | Syracuse0,Manchester2 | RECAP |
2024-01-17 | Rochester | @ | Syracuse | Rochester1,Syracuse5 | RECAP |
2024-01-18 | Toronto | @ | Syracuse | Toronto3,Syracuse0 | RECAP |
2024-01-21 | Wilkes Barre | @ | Syracuse | Wilkes Barre1,Syracuse3 | RECAP |
2024-01-22 | Syracuse | @ | Chicago Wolf | Syracuse3,Chicago Wolf2 | RECAP |
2024-01-24 | Chicago Wolf | @ | Syracuse | Chicago Wolf0,Syracuse3 | RECAP |
2024-01-25 | Syracuse | @ | Hersey | Syracuse2,Hersey3 | RECAP |
2024-01-27 | Milwaukee | @ | Syracuse | Milwaukee2,Syracuse3 (OT) | RECAP |
2024-01-28 | Syracuse | @ | Providence | Syracuse3,Providence2 | RECAP |
2024-01-30 | Manitoba | @ | Syracuse | Manitoba1,Syracuse0 | RECAP |
2024-02-01 | Syracuse | @ | Bridgeport | Syracuse1,Bridgeport0 (OT) | RECAP |
2024-02-02 | Bridgeport | @ | Syracuse | Bridgeport2,Syracuse5 | RECAP |
2024-02-05 | Grand Rapids | @ | Syracuse | Grand Rapids1,Syracuse0 | RECAP |
2024-02-06 | Syracuse | @ | Houston | Syracuse0,Houston2 | RECAP |
2024-02-08 | Syracuse | @ | Rochester | Syracuse1,Rochester2 (OT) | RECAP |
2024-02-10 | Hersey | @ | Syracuse | Hersey3,Syracuse2 | RECAP |
2024-02-12 | Syracuse | @ | Chicago | Syracuse2,Chicago1 | RECAP |
2024-02-13 | Syracuse | @ | Springfield | Syracuse4,Springfield1 | RECAP |
2024-02-14 | Syracuse | @ | Norfolk | Syracuse3,Norfolk1 | RECAP |
2024-02-16 | Iowa | @ | Syracuse | Iowa2,Syracuse1 | RECAP |
2024-02-17 | Syracuse | @ | Hamilton | Syracuse1,Hamilton0 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
13,620,791$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Syracuse | |
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 |
13,620,791$ | 13,620,791$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
18,770,856$ | 0$ | 18,770,856$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 21 | 100,153$ | 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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