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Full Scoreboard »» |
![]() | Syracuse Crunch 3-0-0, 6pts · 3rd in Conference 1 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW/RW | 100.00 | 63 | 43 | 83 | 74 | 83 | 78 | 76 | 68 | 76 | 64 | 63 | 69 | 68 | 73 | 63 | 1 | 50 | 68 | 25 | 1,200,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 78 | 46 | 78 | 72 | 82 | 80 | 79 | 69 | 47 | 64 | 63 | 67 | 68 | 76 | 66 | 1 | 50 | 68 | 29 | 2,500,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 65 | 44 | 70 | 67 | 70 | 70 | 67 | 64 | 64 | 62 | 59 | 62 | 64 | 59 | 50 | 1 | 50 | 62 | 25 | 1,000,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 61 | 41 | 78 | 70 | 66 | 73 | 67 | 63 | 44 | 62 | 57 | 63 | 64 | 60 | 50 | 1 | 50 | 62 | 26 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 45 | 67 | 66 | 63 | 68 | 66 | 64 | 56 | 65 | 57 | 60 | 63 | 55 | 51 | 1 | 50 | 61 | 27 | 1,250,000$/3yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 58 | 42 | 75 | 65 | 65 | 69 | 66 | 65 | 48 | 60 | 60 | 55 | 63 | 65 | 51 | 1 | 50 | 61 | 25 | 1,250,000$/3yrs | |||
![]() | 0 | C | 100.00 | 56 | 43 | 69 | 65 | 63 | 70 | 69 | 63 | 56 | 59 | 58 | 55 | 62 | 75 | 52 | 1 | 50 | 60 | 28 | 1,700,000$/4yrs | |||
![]() | 0 | C | 100.00 | 62 | 41 | 67 | 67 | 61 | 62 | 61 | 62 | 55 | 62 | 57 | 64 | 62 | 50 | 50 | 1 | 50 | 60 | 22 | 870,000$/2yrs | |||
![]() | 0 | C | 100.00 | 58 | 57 | 56 | 67 | 57 | 65 | 63 | 61 | 60 | 62 | 53 | 60 | 60 | 52 | 50 | 1 | 50 | 59 | 24 | 975,000$/1yrs | |||
![]() | 0 | C | 100.00 | 56 | 43 | 69 | 64 | 64 | 68 | 66 | 61 | 46 | 56 | 56 | 52 | 60 | 58 | 50 | 1 | 50 | 58 | 26 | 1,200,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 59 | 44 | 68 | 61 | 65 | 67 | 66 | 61 | 42 | 55 | 55 | 55 | 59 | 54 | 50 | 1 | 50 | 58 | 26 | 975,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 53 | 55 | 58 | 64 | 60 | 66 | 65 | 61 | 43 | 59 | 53 | 50 | 59 | 53 | 50 | 1 | 50 | 57 | 25 | 1,700,000$/4yrs | |||
![]() | 0 | D | 100.00 | 56 | 40 | 78 | 70 | 76 | 76 | 73 | 68 | 40 | 66 | 62 | 65 | 67 | 68 | 61 | 1 | 50 | 66 | 27 | 2,200,000$/3yrs | |||
![]() | 0 | D | 100.00 | 58 | 43 | 68 | 66 | 63 | 71 | 69 | 65 | 40 | 65 | 55 | 69 | 62 | 63 | 53 | 1 | 50 | 63 | 30 | 1,700,000$/4yrs | |||
![]() | 0 | D | 100.00 | 65 | 42 | 70 | 68 | 64 | 61 | 59 | 62 | 40 | 60 | 55 | 68 | 62 | 50 | 50 | 1 | 50 | 62 | 21 | 975,000$/2yrs | |||
![]() | 0 | D | 100.00 | 66 | 44 | 67 | 59 | 76 | 69 | 67 | 58 | 40 | 52 | 53 | 64 | 56 | 80 | 55 | 1 | 50 | 62 | 30 | 1,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 42 | 71 | 66 | 65 | 64 | 62 | 62 | 40 | 60 | 53 | 63 | 60 | 51 | 50 | 1 | 50 | 61 | 23 | 975,000$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 40 | 72 | 66 | 63 | 63 | 61 | 59 | 40 | 55 | 53 | 65 | 59 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 57 | 41 | 68 | 62 | 59 | 58 | 57 | 59 | 41 | 58 | 54 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 20 | 860,000$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 41 | 65 | 58 | 67 | 58 | 56 | 57 | 40 | 54 | 53 | 59 | 56 | 50 | 50 | 1 | 50 | 57 | 20 | 870,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 72 | 66 | 68 | 71 | 70 | 71 | 72 | 71 | 71 | 70 | 67 | 59 | 52 | 1 | 50 | 64 | 29 | 1,200,000$/4yrs |
![]() | 0 | 100.00 | 67 | 56 | 56 | 62 | 62 | 62 | 64 | 60 | 64 | 61 | 55 | 50 | 50 | 1 | 50 | 57 | 22 | 1,200,000$/4yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 73 | 65 | 69 | 66 | 70 | 70 | 72 | 70 | 71 | 71 | 58 | 54 | 50 | 1 | 50 | 64 | 26 | 975,000$/1yrs |
![]() | 0 | 100.00 | 52 | 54 | 48 | 57 | 51 | 47 | 47 | 45 | 47 | 51 | 53 | 65 | 55 | 1 | 50 | 47 | 32 | 3,300,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Pascal Vincent | 78 | 74 | 74 | 79 | 76 | 60 | 1 | CAN | 53 | 1 | 350,000$ |
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 | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | David Gustafsson | ![]() | C/LW/RW | 3 | 2 | 2 | 4 | 1 | 0 | 0 | 6 | 12 | 0 | 9 | 16.67% | 1 | 23.60 | 1 | 0 | 1 | 0 | 1 | 1 | 7 | 0 | 0 | 75.00% | 0 | 0 | 1.33 | 0 | 0 | 1.49 | |||
2 | Garrett Pilon | ![]() | C | 3 | 2 | 1 | 3 | 2 | 2 | 0 | 6 | 8 | 3 | 8 | 25.00% | 0 | 18.18 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 61.11% | 0 | 0 | 1.00 | 0 | 0 | 1.16 | |||
3 | Benoit-Olivier Groulx | ![]() | C/LW/RW | 3 | 2 | 1 | 3 | 1 | 0 | 0 | 4 | 5 | 2 | 2 | 40.00% | 4 | 23.51 | 0 | 0 | 0 | 1 | 0 | 1 | 7 | 1 | 0 | 46.43% | 0 | 0 | 1.00 | 0 | 0 | 1.05 | |||
4 | Liam Foudy | ![]() | C/LW/RW | 3 | 1 | 1 | 2 | 0 | 2 | 0 | 2 | 4 | 2 | 0 | 25.00% | 0 | 17.39 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 1 | 66.67% | 0 | 0 | 0.67 | 0 | 0 | 0.47 | |||
5 | Daemon Hunt | ![]() | D | 3 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 0.00% | 2 | 19.14 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.56 | |||
6 | Xavier Simoneau | ![]() | C | 3 | 0 | 2 | 2 | 1 | 2 | 0 | 4 | 1 | 0 | 0 | 0.00% | 0 | 14.92 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.67 | 0 | 0 | 0.47 | |||
7 | Frederic Brunet | ![]() | D | 3 | 0 | 1 | 1 | 2 | 0 | 0 | 4 | 4 | 2 | 1 | 0.00% | 2 | 24.68 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.63 | |||
8 | Gavin White | ![]() | D | 3 | 0 | 1 | 1 | 2 | 0 | 0 | 1 | 1 | 2 | 0 | 0.00% | 0 | 15.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.48 | |||
9 | Nicolas Aube-Kubel | ![]() | RW | 3 | 0 | 1 | 1 | -1 | 0 | 0 | 4 | 3 | 2 | 3 | 0.00% | 1 | 15.86 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.33 | 0 | 0 | 0.26 | |||
10 | Dylan Gambrell | ![]() | C | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 3 | 2 | 1 | 0.00% | 0 | 13.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 76.92% | 0 | 0 | 0.33 | 0 | 0 | 0.33 | |||
11 | Dennis Cholowski | ![]() | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 3 | 0 | 0.00% | 1 | 21.09 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.12 | |||
12 | Ben Harpur | ![]() | D | 3 | 0 | 0 | 0 | -2 | 4 | 0 | 7 | 3 | 1 | 0 | 0.00% | 0 | 20.43 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.34 | |||
13 | Jake Leschyshyn | ![]() | C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 2.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
14 | Christian Wolanin | ![]() | D | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 1 | 4 | 0.00% | 0 | 19.78 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | |||
15 | Joel Teasdale | ![]() | LW | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 0 | 0.00% | 0 | 15.17 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.21 | |||
16 | Ty Mueller | ![]() | C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
17 | Tyce Thompson | ![]() | RW | 3 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 5 | 0 | 4 | 0.00% | 0 | 15.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | -0.09 | |||
18 | Rafaël Harvey-Pinard | ![]() | C/LW/RW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 4 | 5 | 0.00% | 0 | 15.71 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.25 | |||
Team Total or Average | 54 | 7 | 13 | 20 | 7 | 16 | 0 | 55 | 67 | 24 | 39 | 10.45% | 11 | 16.48 | 2 | 4 | 6 | 50 | 1 | 1 | 2 | 49 | 3 | 1 | 52.38% | 126 | 13 | 11 | 0 | 0 | 0.45 | 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 | Clay Stevenson | ![]() | 3 | 3 | 0 | 0 | 0.929 | 1.33 | 181 | 0 | 0 | 4 | 56 | 29 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 1 |
Team Total or Average | 3 | 3 | 0 | 0 | 0.929 | 1.33 | 181 | 0 | 0 | 4 | 56 | 29 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 1 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ben Harpur | D | 30 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Benoit-Olivier Groulx | C/LW/RW | 25 | 1,000,000$ | 1,000,000$ | |||||||
Brandon Halverson | G | 29 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Christian Wolanin | D | 30 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||
Clay Stevenson | G | 26 | 975,000$ | 975,000$ | |||||||
Coulson Pitre | RW | 20 | 860,000$ | 975,000$ | 975,000$ | RFA | |||||
Daemon Hunt | D | 23 | 975,000$ | 975,000$ | RFA | ||||||
David Gustafsson | C/LW/RW | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||||
Dennis Cholowski | D | 27 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | ||||
Dylan Gambrell | C | 28 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||
Frederic Brunet | D | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Garret Sparks | G | 32 | 3,300,000$ | 3,300,000$ | UFA | ||||||
Garrett Pilon | C | 27 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Gavin White | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jake Leschyshyn | C | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Jakub Dvorak | D | 20 | 870,000$ | 975,000$ | 975,000$ | RFA | |||||
Joel Teasdale | LW | 26 | 975,000$ | 975,000$ | |||||||
Liam Foudy | C/LW/RW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | ||||
Nicolas Aube-Kubel | RW | 29 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | |||
Pavel Cajan | G | 22 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | ||||
Rafaël Harvey-Pinard | C/LW/RW | 26 | 975,000$ | 975,000$ | |||||||
Ty Mueller | C | 22 | 870,000$ | 975,000$ | 975,000$ | RFA | |||||
Tyce Thompson | RW | 25 | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||
Xavier Simoneau | C | 24 | 975,000$ | 975,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 1 | 3 | 1 | 2 | 20 | 21 | 15 | 27 | 4 | 21 | 3 | 6 | 18 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 1 | 26 | 56 | 46.43% | 19 | 39 | 48.72% | 21 | 27 | 77.78% | 55 | 22 | 53 | 32 | 72 | 35 | 100.0% | 10.0% | 95.2% | 105.2 | LUCKY |
2 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 3 | 1 | 2 | 29 | 21 | 15 | 27 | 4 | 23 | 6 | 6 | 11 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 26 | 56 | 46.43% | 19 | 39 | 48.72% | 21 | 27 | 77.78% | 55 | 22 | 53 | 32 | 72 | 35 | 50.0% | 10.3% | 91.3% | 101.6 | LUCKY |
3 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 3 | 1 | 2 | 18 | 21 | 15 | 27 | 4 | 12 | 2 | 4 | 26 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 26 | 56 | 46.43% | 19 | 39 | 48.72% | 21 | 27 | 77.78% | 55 | 22 | 53 | 32 | 72 | 35 | 66.7% | 11.1% | 91.7% | 102.8 | LUCKY |
_Vs Division | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 1 | 3 | 1 | 2 | 18 | 21 | 15 | 27 | 4 | 12 | 2 | 4 | 26 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 26 | 56 | 46.43% | 19 | 39 | 48.72% | 21 | 27 | 77.78% | 55 | 22 | 53 | 32 | 72 | 35 | 66.7% | 11.1% | 91.7% | 102.8 | LUCKY | |
_Vs Conference | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 3 | 1 | 2 | 38 | 21 | 15 | 27 | 4 | 33 | 5 | 10 | 44 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 1 | 26 | 56 | 46.43% | 19 | 39 | 48.72% | 21 | 27 | 77.78% | 55 | 22 | 53 | 32 | 72 | 35 | 75.0% | 10.5% | 93.9% | 104.5 | LUCKY | |
_Since Last GM Reset | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 4 | 3 | 6 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 1 | 2 | 67 | 21 | 15 | 27 | 4 | 56 | 11 | 16 | 55 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 1 | 26 | 56 | 46.43% | 19 | 39 | 48.72% | 21 | 27 | 77.78% | 55 | 22 | 53 | 32 | 72 | 35 | 62.5% | 10.4% | 92.9% | 103.3 | LUCKY | |
Total | 3 | 1 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 4 | 3 | 6 | 1.000 | 7 | 13 | 20 | 0 | 0 | 1 | 3 | 1 | 2 | 67 | 21 | 15 | 27 | 4 | 56 | 11 | 16 | 55 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 1 | 26 | 56 | 46.43% | 19 | 39 | 48.72% | 21 | 27 | 77.78% | 55 | 22 | 53 | 32 | 72 | 35 | 62.5% | 10.4% | 92.9% | 103.3 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 18 |
Neutral Zone | 24 |
Defensive Zone | 17 |
Puck Time | |
---|---|
Offensive Zone Start | 56 |
Neutral Zone Start | 27 |
Defensive Zone Start | 39 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 66 |
Faceoffs Lost | 56 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 7.0 | 9.57 |
2nd Period | 12.0 | 20.31 |
3rd Period | 21.0 | 30.68 |
Overtime | 22.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.3 | 1.65 |
3rd Period | 1.7 | 2.67 |
Overtime | 2.3 | 2.83 |
Even Strenght Goal | 4 |
---|---|
PP Goal | 2 |
PK Goal | 1 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 7 |
---|---|
PP Goal | 2 |
PK Attempt | 8 |
PK Goal Against | 1 |
Home | |
---|---|
Shots For | 22.3 |
Shots Against | 18.7 |
Goals For | 2.3 |
Goals Against | 1.3 |
Hits | 18.3 |
Shots Blocked | 3.7 |
Pim | 5.3 |
Date | Matchup | Result | Detail | |||||||||||
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Thu, Oct 9 | ![]() | @ | ![]() | FLO1,TAM2 | RECAP | |||||||||
Sat, Oct 11 | ![]() | @ | ![]() | NJD1,TAM2 (OT) | RECAP | |||||||||
Tue, Oct 14 | ![]() | @ | ![]() | TAM3,NAS2 (OT) | RECAP | |||||||||
Thu, Oct 16 | ![]() | @ | ![]() | |||||||||||
Sun, Oct 19 | ![]() | @ | ![]() | |||||||||||
Tue, Oct 21 | ![]() | @ | ![]() | |||||||||||
Thu, Oct 23 | ![]() | @ | ![]() | |||||||||||
Fri, Oct 24 | ![]() | @ | ![]() | |||||||||||
Sun, Oct 26 | ![]() | @ | ![]() | |||||||||||
Mon, Oct 27 | ![]() | @ | ![]() | |||||||||||
Thu, Oct 30 | ![]() | @ | ![]() | |||||||||||
Sat, Nov 1 | ![]() | @ | ![]() | |||||||||||
Sun, Nov 2 | ![]() | @ | ![]() | |||||||||||
Tue, Nov 4 | ![]() | @ | ![]() | |||||||||||
Wed, Nov 5 | ![]() | @ | ![]() | |||||||||||
Sat, Nov 8 | ![]() | @ | ![]() | |||||||||||
Mon, Nov 10 | ![]() | @ | ![]() | |||||||||||
Wed, Nov 12 | ![]() | @ | ![]() | |||||||||||
Fri, Nov 14 | ![]() | @ | ![]() | |||||||||||
Sat, Nov 15 | ![]() | @ | ![]() | |||||||||||
Mon, Nov 17 | ![]() | @ | ![]() | |||||||||||
Wed, Nov 19 | ![]() | @ | ![]() | |||||||||||
Fri, Nov 21 | ![]() | @ | ![]() | |||||||||||
Sun, Nov 23 | ![]() | @ | ![]() | |||||||||||
Wed, Nov 26 | ![]() | @ | ![]() | |||||||||||
Fri, Nov 28 | ![]() | @ | ![]() | |||||||||||
Sun, Nov 30 | ![]() | @ | ![]() | |||||||||||
Mon, Dec 1 | ![]() | @ | ![]() | |||||||||||
Wed, Dec 3 | ![]() | @ | ![]() | |||||||||||
Sat, Dec 6 | ![]() | @ | ![]() | |||||||||||
Mon, Dec 8 | ![]() | @ | ![]() | |||||||||||
Thu, Dec 11 | ![]() | @ | ![]() | |||||||||||
Sat, Dec 13 | ![]() | @ | ![]() | |||||||||||
Mon, Dec 15 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 16 | ![]() | @ | ![]() | |||||||||||
Fri, Dec 19 | ![]() | @ | ![]() | |||||||||||
Sat, Dec 20 | ![]() | @ | ![]() | |||||||||||
Wed, Dec 24 | ![]() | @ | ![]() | |||||||||||
Sun, Dec 28 | ![]() | @ | ![]() | |||||||||||
Tue, Dec 30 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 1 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 3 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 5 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 6 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 9 | ![]() | @ | ![]() | |||||||||||
Sat, Jan 10 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 13 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 14 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 16 | ![]() | @ | ![]() | |||||||||||
Sun, Jan 18 | ![]() | @ | ![]() | |||||||||||
Tue, Jan 20 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 22 | ![]() | @ | ![]() | |||||||||||
Fri, Jan 23 | ![]() | @ | ![]() | |||||||||||
Mon, Jan 26 | ![]() | @ | ![]() | |||||||||||
Wed, Jan 28 | ![]() | @ | ![]() | |||||||||||
Thu, Jan 29 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 1 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 2 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 3 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 6 | ![]() | @ | ![]() | |||||||||||
Mon, Feb 9 | ![]() | @ | ![]() | |||||||||||
Wed, Feb 11 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 14 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 15 | ![]() | @ | ![]() | |||||||||||
Tue, Feb 17 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 19 | ![]() | @ | ![]() | |||||||||||
Sat, Feb 21 | ![]() | @ | ![]() | |||||||||||
Sun, Feb 22 | ![]() | @ | ![]() | |||||||||||
Wed, Feb 25 | ![]() | @ | ![]() | |||||||||||
Thu, Feb 26 | ![]() | @ | ![]() | |||||||||||
Fri, Feb 27 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 2 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 3 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 6 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 7 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 9 | ![]() | @ | ![]() | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Tue, Mar 10 | ![]() | @ | ![]() | |||||||||||
Fri, Mar 13 | ![]() | @ | ![]() | |||||||||||
Sat, Mar 14 | ![]() | @ | ![]() | |||||||||||
Tue, Mar 17 | ![]() | @ | ![]() | |||||||||||
Thu, Mar 19 | ![]() | @ | ![]() | |||||||||||
Mon, Mar 23 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,275,000$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Syracuse | |
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 |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,275,000$ | 3,275,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
171,600$ | 0$ | 155,032$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 21,450$ | 3,453,450$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,453,450$ | 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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