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Farm Team 32 20-17-3, 43pts · 10th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 76 | 52 | 73 | 66 | 83 | 76 | 77 | 64 | 58 | 63 | 61 | 62 | 65 | 61 | 66 | 72 | 56 | 62 | 20 | 820,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 61 | 38 | 89 | 65 | 72 | 68 | 72 | 63 | 59 | 66 | 64 | 62 | 65 | 67 | 64 | 58 | 60 | 61 | 23 | 925,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 68 | 47 | 87 | 61 | 90 | 79 | 78 | 60 | 63 | 59 | 59 | 62 | 60 | 63 | 62 | 59 | 60 | 61 | 21 | 786,666$/1yrs | |||
![]() | 0 | C | 100.00 | 55 | 41 | 89 | 67 | 66 | 78 | 70 | 64 | 74 | 63 | 61 | 58 | 69 | 61 | 63 | 80 | 60 | 60 | 20 | 863,333$/3yrs | |||
![]() | 0 | C | 100.00 | 68 | 41 | 88 | 64 | 71 | 73 | 66 | 62 | 70 | 61 | 59 | 63 | 64 | 63 | 62 | 65 | 60 | 60 | 21 | 786,666$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 60 | 77 | 63 | 81 | 73 | 75 | 62 | 67 | 61 | 58 | 59 | 62 | 63 | 65 | 79 | 60 | 60 | 21 | 925,000$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 41 | 83 | 60 | 69 | 72 | 72 | 59 | 67 | 61 | 59 | 58 | 59 | 71 | 66 | 51 | 60 | 58 | 25 | 700,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 61 | 42 | 88 | 60 | 76 | 75 | 71 | 59 | 57 | 61 | 58 | 59 | 60 | 65 | 63 | 72 | 60 | 58 | 22 | 864,167$/1yrs | |||
![]() | 0 | LW | 100.00 | 58 | 43 | 89 | 61 | 70 | 73 | 75 | 60 | 54 | 58 | 59 | 57 | 60 | 71 | 66 | 54 | 60 | 58 | 25 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 73 | 42 | 89 | 68 | 85 | 75 | 64 | 66 | 30 | 74 | 65 | 69 | 54 | 67 | 64 | 85 | 60 | 65 | 23 | 850,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 39 | 78 | 65 | 73 | 83 | 77 | 64 | 30 | 63 | 57 | 69 | 52 | 63 | 65 | 73 | 60 | 64 | 21 | 925,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 49 | 83 | 62 | 80 | 82 | 77 | 60 | 30 | 58 | 59 | 61 | 52 | 71 | 66 | 58 | 60 | 62 | 25 | 700,000$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 43 | 85 | 59 | 87 | 74 | 65 | 58 | 30 | 57 | 57 | 60 | 46 | 77 | 69 | 51 | 60 | 61 | 28 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 42 | 88 | 59 | 66 | 83 | 74 | 58 | 30 | 57 | 57 | 56 | 45 | 61 | 62 | 80 | 60 | 57 | 19 | 894,167$/3yrs | |||
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Johnson | C | 25 | 700,000$ | 700,000$ | |||||||
Alexander Volkov | RW | 22 | 864,167$ | 864,167$ | |||||||
Anders Bjork | LW | 23 | 925,000$ | 925,000$ | |||||||
CJ Suess | LW | 25 | 700,000$ | 700,000$ | |||||||
Christian Folin | D | 28 | 800,000$ | 800,000$ | |||||||
Haydn Fleury | D | 23 | 850,000$ | 850,000$ | |||||||
Max Comtois | LW | 20 | 820,000$ | 820,000$ | |||||||
Morgan Frost | C | 20 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | |||||
Nicolas Beaudin | D | 19 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | |||||
Noah Gregor | C | 21 | 786,666$ | 786,666$ | |||||||
Otto Koivula | LW | 21 | 786,666$ | 786,666$ | |||||||
Ryan Lindgren | D | 21 | 925,000$ | 925,000$ | 925,000$ | ||||||
Trent Frederic | C | 21 | 925,000$ | 925,000$ | |||||||
Trevor Carrick | D | 25 | 700,000$ | 700,000$ | 700,000$ |
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 | |||||||
---|---|---|---|---|---|---|---|
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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 6 | 23 | 25 | 9 | 8 | 101 | 176 | 215 | 35 | 14 | 8 | 10 | 7 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 33.3% | 12.5% | 85.7% | 98.2 | FUN | |
2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 6 | 23 | 25 | 9 | 11 | 101 | 176 | 215 | 35 | 13 | 4 | 77 | 5 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 0.0% | 0.0% | 76.9% | 76.9 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 23 | 25 | 9 | 9 | 101 | 176 | 215 | 35 | 10 | 0 | 20 | 10 | 6 | 1 | 16.67% | 5 | 3 | 40.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | nan% | 11.1% | 70.0% | 81.1 | FUN | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 23 | 25 | 9 | 12 | 101 | 176 | 215 | 35 | 13 | 2 | 9 | 5 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 0.0% | 8.3% | 84.6% | 92.9 | Unlucky | |
5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 6 | 23 | 25 | 9 | 24 | 101 | 176 | 215 | 35 | 21 | 8 | 50 | 9 | 16 | 2 | 12.50% | 5 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 0.0% | 8.3% | 95.2% | 103.6 | DULL | |
6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 6 | 23 | 25 | 9 | 18 | 101 | 176 | 215 | 35 | 16 | 5 | 20 | 5 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 50.0% | 16.7% | 75.0% | 91.7 | FUN | |
7 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 6 | 23 | 25 | 9 | 28 | 101 | 176 | 215 | 35 | 18 | 6 | 54 | 19 | 11 | 2 | 18.18% | 7 | 1 | 85.71% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 33.3% | 10.7% | 83.3% | 94.0 | FUN | |
8 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 6 | 23 | 25 | 9 | 17 | 101 | 176 | 215 | 35 | 15 | 7 | 40 | 7 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 17.6% | 86.7% | 104.3 | FUN | |
9 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 2 | 0.500 | 1 | 0 | 1 | 0 | 1 | 6 | 23 | 25 | 9 | 18 | 101 | 176 | 215 | 35 | 33 | 7 | 72 | 7 | 9 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 5.6% | 97.0% | 102.5 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 6 | 23 | 25 | 9 | 11 | 101 | 176 | 215 | 35 | 8 | 6 | 20 | 10 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | nan% | 0.0% | 87.5% | 87.5 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 6 | 23 | 25 | 9 | 13 | 101 | 176 | 215 | 35 | 9 | 4 | 22 | 3 | 5 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 0.0% | 0.0% | 55.6% | 55.6 | Unlucky | |
12 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 0 | 1 | 0 | 1 | 6 | 23 | 25 | 9 | 15 | 101 | 176 | 215 | 35 | 10 | 5 | 15 | 6 | 0 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 6.7% | 100.0% | 106.7 | DULL | |
13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 6 | 23 | 25 | 9 | 14 | 101 | 176 | 215 | 35 | 11 | 2 | 13 | 7 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 14.3% | 90.9% | 105.2 | FUN | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 6 | 23 | 25 | 9 | 16 | 101 | 176 | 215 | 35 | 8 | 7 | 86 | 2 | 7 | 2 | 28.57% | 3 | 2 | 33.33% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 25.0% | 75.0% | 100.0 | FUN | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 6 | 23 | 25 | 9 | 22 | 101 | 176 | 215 | 35 | 29 | 7 | 144 | 10 | 8 | 3 | 37.50% | 6 | 3 | 50.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 50.0% | 18.2% | 86.2% | 104.4 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 8 | 12 | 0 | 1 | 6 | 23 | 25 | 9 | 16 | 101 | 176 | 215 | 35 | 10 | 3 | 93 | 8 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 25.0% | 100.0% | 125.0 | LUCKY | |
17 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 6 | 23 | 25 | 9 | 22 | 101 | 176 | 215 | 35 | 21 | 8 | 68 | 11 | 11 | 4 | 36.36% | 4 | 2 | 50.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 50.0% | 27.3% | 81.0% | 108.2 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 23 | 25 | 9 | 11 | 101 | 176 | 215 | 35 | 25 | 13 | 23 | 5 | 2 | 1 | 50.00% | 4 | 3 | 25.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | nan% | 9.1% | 88.0% | 97.1 | FUN | |
19 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 6 | 23 | 25 | 9 | 15 | 101 | 176 | 215 | 35 | 7 | 3 | 2 | 6 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 13.3% | 85.7% | 99.0 | FUN | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 6 | 23 | 25 | 9 | 11 | 101 | 176 | 215 | 35 | 12 | 4 | 53 | 9 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 50.0% | 27.3% | 91.7% | 118.9 | LUCKY | |
21 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 0.667 | 5 | 10 | 15 | 0 | 1 | 6 | 23 | 25 | 9 | 45 | 101 | 176 | 215 | 35 | 39 | 8 | 46 | 20 | 12 | 3 | 25.00% | 8 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 33.3% | 11.1% | 89.7% | 100.9 | FUN | |
22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 6 | 23 | 25 | 9 | 11 | 101 | 176 | 215 | 35 | 8 | 3 | 66 | 10 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 50.0% | 18.2% | 87.5% | 105.7 | FUN | |
23 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 0 | 1 | 0 | 1 | 6 | 23 | 25 | 9 | 12 | 101 | 176 | 215 | 35 | 12 | 3 | 92 | 10 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 8.3% | 100.0% | 108.3 | DULL | |
24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 23 | 25 | 9 | 6 | 101 | 176 | 215 | 35 | 13 | 4 | 36 | 6 | 2 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 16.7% | 69.2% | 85.9 | FUN | |
25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 6 | 23 | 25 | 9 | 16 | 101 | 176 | 215 | 35 | 11 | 4 | 9 | 4 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 0.0% | 6.3% | 81.8% | 88.1 | Unlucky | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 6 | 23 | 25 | 9 | 31 | 101 | 176 | 215 | 35 | 20 | 11 | 88 | 3 | 11 | 3 | 27.27% | 9 | 2 | 77.78% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 0.0% | 9.7% | 85.0% | 94.7 | FUN | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 23 | 25 | 9 | 15 | 101 | 176 | 215 | 35 | 13 | 2 | 8 | 5 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 50.0% | 6.7% | 84.6% | 91.3 | Unlucky | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 23 | 25 | 9 | 21 | 101 | 176 | 215 | 35 | 26 | 6 | 10 | 1 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 0.0% | 4.8% | 88.5% | 93.2 | Unlucky | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 6 | 23 | 25 | 9 | 13 | 101 | 176 | 215 | 35 | 14 | 1 | 35 | 12 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 100.0% | 15.4% | 100.0% | 115.4 | LUCKY | |
30 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0.333 | 2 | 3 | 5 | 0 | 1 | 6 | 23 | 25 | 9 | 27 | 101 | 176 | 215 | 35 | 42 | 7 | 51 | 13 | 13 | 2 | 15.38% | 13 | 3 | 76.92% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 0.0% | 7.4% | 88.1% | 95.5 | Unlucky | |
_Vs Division | 8 | 4 | 5 | 0 | 2 | 0 | 0 | 0 | 13 | 17 | -4 | 12 | 0.750 | 13 | 22 | 35 | 0 | 0 | 6 | 23 | 25 | 9 | 101 | 101 | 176 | 215 | 35 | 104 | 33 | 197 | 54 | 37 | 4 | 10.81% | 31 | 12 | 61.29% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 64.3% | 12.9% | 83.7% | 96.5 | FUN | |
_Vs Conference | 23 | 8 | 10 | 0 | 3 | 1 | 1 | 0 | 34 | 39 | -5 | 25 | 0.543 | 34 | 64 | 98 | 0 | 3 | 6 | 23 | 25 | 9 | 287 | 101 | 176 | 215 | 35 | 279 | 85 | 701 | 129 | 116 | 21 | 18.10% | 82 | 22 | 73.17% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 43.3% | 11.8% | 86.0% | 97.9 | FUN | |
_Since Last GM Reset | 40 | 13 | 17 | 0 | 3 | 1 | 4 | 2 | 61 | 66 | -5 | 43 | 0.538 | 61 | 108 | 169 | 0 | 8 | 6 | 23 | 25 | 9 | 508 | 101 | 176 | 215 | 35 | 501 | 158 | 1332 | 235 | 177 | 32 | 18.08% | 155 | 38 | 75.48% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 50.9% | 12.0% | 86.8% | 98.8 | FUN | |
Total | 40 | 13 | 17 | 0 | 3 | 1 | 4 | 2 | 61 | 66 | -5 | 43 | 0.538 | 61 | 108 | 169 | 0 | 8 | 6 | 23 | 25 | 9 | 508 | 101 | 176 | 215 | 35 | 501 | 158 | 1332 | 235 | 177 | 32 | 18.08% | 155 | 38 | 75.48% | 0 | 265 | 536 | 49.44% | 252 | 497 | 50.70% | 286 | 549 | 52.09% | 1039 | 769 | 933 | 263 | 463 | 233 | 50.9% | 12.0% | 86.8% | 98.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 25 |
Neutral Zone | 11 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 536 |
Neutral Zone Start | 549 |
Defensive Zone Start | 497 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 803 |
Faceoffs Lost | 779 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 2.5 | 9.57 |
2nd Period | 6.9 | 20.31 |
3rd Period | 12.3 | 30.68 |
Overtime | 13.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.2 | 0.64 |
2nd Period | 0.7 | 1.65 |
3rd Period | 1.4 | 2.67 |
Overtime | 1.6 | 2.83 |
Even Strenght Goal | 29 |
---|---|
PP Goal | 32 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 10 | 10 |
Lost | 8 | 9 |
Overtime Lost | 2 | 1 |
PP Attempt | 177 |
---|---|
PP Goal | 32 |
PK Attempt | 155 |
PK Goal Against | 38 |
Home | |
---|---|
Shots For | 12.7 |
Shots Against | 12.5 |
Goals For | 1.5 |
Goals Against | 1.7 |
Hits | 5.9 |
Shots Blocked | 4.0 |
Pim | 33.3 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2020-10-25 | @ | Philadelphie0,Farm Team 321 (OT) | RECAP | ||
2020-10-26 | @ | Farm Team 322,Norfolk1 | RECAP | ||
2020-10-28 | @ | Farm Team 322,Albany1 | RECAP | ||
2020-10-30 | @ | Peroria4,Farm Team 321 | RECAP | ||
2020-10-31 | @ | Farm Team 321,Quad City3 | RECAP | ||
2020-11-01 | @ | Manchester1,Farm Team 323 | RECAP | ||
2020-11-04 | @ | Providence2,Farm Team 321 (OT) | RECAP | ||
2020-11-06 | @ | Farm Team 321,Bridgeport2 | RECAP | ||
2020-11-07 | @ | Grand Rapids2,Farm Team 323 (SO) | RECAP | ||
2020-11-09 | @ | Binghamton4,Farm Team 321 | RECAP | ||
2020-11-12 | @ | Farm Team 321,Chicago0 (SO) | RECAP | ||
2020-11-13 | @ | Rochester1,Farm Team 322 (OT) | RECAP | ||
2020-11-15 | @ | Farm Team 321,Philadelphie2 | RECAP | ||
2020-11-16 | @ | Philadelphie2,Farm Team 323 | RECAP | ||
2020-11-18 | @ | Farm Team 324,Rockford Icehogs0 | RECAP | ||
2020-11-20 | @ | Bridgeport1,Farm Team 322 | RECAP | ||
2020-11-22 | @ | Farm Team 324,Hersey2 | RECAP | ||
2020-11-24 | @ | Wilkes Barre0,Farm Team 322 | RECAP | ||
2020-11-26 | @ | Farm Team 320,Hershey4 | RECAP | ||
2020-11-27 | @ | Toronto1,Farm Team 322 | RECAP | ||
2020-11-30 | @ | Farm Team 322,Lowell3 | RECAP | ||
2020-12-02 | @ | Lowell1,Farm Team 322 | RECAP | ||
2020-12-04 | @ | Farm Team 321,Hartford2 | RECAP | ||
2020-12-06 | @ | Hamilton3,Farm Team 321 | RECAP | ||
2020-12-08 | @ | Farm Team 320,Wilkes Barre1 | RECAP | ||
2020-12-09 | @ | Syracuse2,Farm Team 321 | RECAP | ||
2020-12-11 | @ | Farm Team 321,Manitoba0 (SO) | RECAP | ||
2020-12-12 | @ | Farm Team 321,Peroria0 | RECAP | ||
2020-12-13 | @ | Chicago1,Farm Team 320 | RECAP | ||
2020-12-15 | @ | Farm Team 321,Springfield0 (SO) | RECAP | ||
2020-12-16 | @ | Milwaukee4,Farm Team 323 (SO) | RECAP | ||
2020-12-19 | @ | Farm Team 321,Rochester3 | RECAP | ||
2020-12-20 | @ | Portland3,Farm Team 320 | RECAP | ||
2020-12-21 | @ | Farm Team 322,Houston0 | RECAP | ||
2020-12-22 | @ | Farm Team 321,Worchester2 (SO) | RECAP | ||
2020-12-24 | @ | Peroria1,Farm Team 320 | RECAP | ||
2020-12-27 | @ | Hartford1,Farm Team 322 (OT) | RECAP | ||
2020-12-29 | @ | Farm Team 324,Albany3 | RECAP | ||
2020-12-31 | @ | Lake Erie1,Farm Team 320 | RECAP | ||
2021-01-01 | @ | Farm Team 321,Iowa2 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
11,539,999$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | ||
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
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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 |
11,539,999$ | 11,539,999$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
11,427,656$ | 0$ | 11,427,656$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 69 | 158,082$ | 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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