|
|
|
|
|
|
|
|
Full Scoreboard »» |
Syracuse Crunch 29-23-3, 61pts · 10th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
David Gustafsson | 0 | C/LW | 98.00 | 67 | 42 | 84 | 73 | 82 | 77 | 75 | 68 | 76 | 64 | 62 | 69 | 68 | 67 | 58 | 1 | 50 | 67 | 24 | 1,200,000$/3yrs | |||
Alexander Edler | 0 | LW/RW | 98.00 | 64 | 44 | 62 | 63 | 71 | 73 | 79 | 64 | 40 | 61 | 56 | 69 | 61 | 92 | 79 | 1 | 50 | 65 | 38 | 3,200,000$/3yrs | |||
Dylan Gambrell | 0 | C | 98.00 | 63 | 45 | 74 | 70 | 67 | 75 | 74 | 66 | 55 | 63 | 60 | 62 | 65 | 63 | 56 | 1 | 50 | 64 | 27 | 1,600,000$/1yrs | |||
Benoit-Olivier Groulx | 0 | C | 100.00 | 69 | 46 | 74 | 70 | 75 | 74 | 70 | 66 | 65 | 61 | 60 | 62 | 65 | 56 | 50 | 1 | 50 | 63 | 24 | 1,000,000$/2yrs | |||
Ben Jones | 0 | C | 100.00 | 62 | 48 | 63 | 71 | 63 | 68 | 66 | 66 | 62 | 63 | 61 | 63 | 66 | 53 | 50 | 1 | 50 | 62 | 25 | 1,250,000$/1yrs | |||
Garrett Pilon | 0 | C | 100.00 | 62 | 42 | 72 | 68 | 64 | 67 | 65 | 64 | 44 | 63 | 59 | 64 | 64 | 54 | 50 | 1 | 50 | 62 | 26 | 1,250,000$/4yrs | |||
Riley Sheahan | 0 | C/LW | 100.00 | 62 | 43 | 77 | 63 | 72 | 72 | 72 | 60 | 57 | 58 | 54 | 64 | 59 | 71 | 61 | 1 | 50 | 62 | 32 | 1,500,000$/3yrs | |||
Liam Foudy | 0 | C/LW | 99.00 | 66 | 42 | 77 | 68 | 69 | 69 | 66 | 64 | 52 | 57 | 59 | 63 | 64 | 56 | 52 | 1 | 50 | 62 | 24 | 1,250,000$/4yrs | |||
Michael Mersch | 0 | RW | 98.00 | 60 | 45 | 70 | 61 | 69 | 71 | 71 | 64 | 44 | 63 | 59 | 57 | 61 | 65 | 61 | 1 | 50 | 61 | 31 | 1,600,000$/4yrs | |||
Xavier Simoneau | 0 | LW/RW | 100.00 | 56 | 58 | 55 | 70 | 57 | 63 | 62 | 62 | 59 | 64 | 54 | 58 | 62 | 51 | 50 | 1 | 50 | 59 | 23 | 975,000$/2yrs | |||
Robert Hagg | 0 | D | 98.00 | 67 | 46 | 67 | 68 | 73 | 76 | 72 | 64 | 40 | 59 | 57 | 69 | 63 | 67 | 57 | 1 | 50 | 65 | 29 | 4,200,000$/2yrs | |||
Ben Harpur | 0 | D | 99.00 | 68 | 47 | 71 | 63 | 81 | 73 | 70 | 61 | 40 | 56 | 56 | 66 | 60 | 68 | 58 | 1 | 50 | 64 | 29 | 1,600,000$/2yrs | |||
Connor Carrick | 0 | D | 100.00 | 60 | 50 | 62 | 71 | 62 | 71 | 71 | 67 | 40 | 64 | 58 | 69 | 65 | 63 | 53 | 1 | 50 | 64 | 30 | 4,500,000$/4yrs | |||
Jordan Gross | 0 | D | 100.00 | 59 | 43 | 69 | 71 | 61 | 69 | 68 | 64 | 40 | 62 | 58 | 69 | 64 | 59 | 50 | 1 | 50 | 63 | 29 | 1,560,000$/4yrs | |||
Christian Wolanin | 0 | D | 100.00 | 58 | 43 | 70 | 67 | 63 | 69 | 67 | 63 | 40 | 64 | 55 | 68 | 62 | 59 | 50 | 1 | 50 | 63 | 29 | 1,600,000$/1yrs | |||
Taylor Fedun | 0 | D | 100.00 | 55 | 44 | 67 | 65 | 62 | 68 | 67 | 60 | 40 | 55 | 53 | 65 | 59 | 75 | 71 | 1 | 50 | 62 | 36 | 2,800,000$/1yrs | |||
Dennis Cholowski | 0 | D | 100.00 | 57 | 42 | 72 | 66 | 66 | 67 | 65 | 65 | 40 | 63 | 55 | 63 | 63 | 54 | 50 | 1 | 50 | 61 | 26 | 2,200,000$/4yrs | |||
Daemon Hunt | 0 | D | 100.00 | 62 | 41 | 70 | 67 | 65 | 62 | 61 | 62 | 40 | 60 | 54 | 66 | 61 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Callahan Burke | 0 | C/RW | 100.00 | 59 | 43 | 72 | 70 | 60 | 68 | 67 | 64 | 43 | 62 | 59 | 62 | 64 | 55 | 50 | 1 | 50 | 61 | 27 | 2,000,000$/1yrs | |||
Jake Leschyshyn | 0 | C | 100.00 | 63 | 43 | 72 | 67 | 70 | 71 | 65 | 63 | 55 | 58 | 57 | 58 | 62 | 54 | 50 | 1 | 50 | 60 | 25 | 1,200,000$/3yrs | |||
Carson Meyer | 0 | RW | 100.00 | 59 | 47 | 62 | 67 | 62 | 66 | 64 | 64 | 43 | 60 | 59 | 57 | 63 | 54 | 50 | 1 | 50 | 60 | 26 | 2,500,000$/1yrs | |||
Tim Schaller | 0 | LW | 100.00 | 56 | 48 | 67 | 60 | 64 | 71 | 71 | 61 | 42 | 58 | 54 | 55 | 59 | 65 | 55 | 1 | 50 | 59 | 33 | 950,000$/1yrs | |||
Alex Whelan | 0 | RW | 100.00 | 63 | 42 | 72 | 63 | 67 | 65 | 63 | 60 | 41 | 53 | 53 | 59 | 59 | 54 | 50 | 1 | 50 | 58 | 26 | 1,750,000$/4yrs | |||
Tyce Thompson | 0 | RW | 100.00 | 55 | 49 | 62 | 65 | 61 | 65 | 63 | 61 | 42 | 60 | 52 | 51 | 59 | 52 | 50 | 1 | 50 | 57 | 24 | 1,650,000$/1yrs | |||
Nick Swaney | 0 | RW | 100.00 | 56 | 41 | 71 | 68 | 59 | 64 | 62 | 58 | 41 | 54 | 55 | 56 | 60 | 54 | 50 | 1 | 50 | 57 | 26 | 2,500,000$/1yrs | |||
Antti Saarela (R) | 0 | C | 100.00 | 58 | 41 | 68 | 63 | 62 | 62 | 59 | 57 | 41 | 55 | 55 | 55 | 58 | 51 | 50 | 1 | 50 | 56 | 23 | 975,000$/3yrs | |||
Stelio Mattheos | 0 | C | 100.00 | 57 | 49 | 66 | 60 | 64 | 61 | 60 | 57 | 40 | 52 | 51 | 51 | 56 | 52 | 50 | 1 | 50 | 55 | 25 | 1,200,000$/4yrs | |||
Tyrell Goulbourne | 0 | LW | 100.00 | 54 | 43 | 61 | 54 | 58 | 57 | 57 | 53 | 40 | 51 | 51 | 53 | 53 | 59 | 50 | 1 | 50 | 53 | 30 | 1,000,000$/3yrs | |||
Yan Kuznetsov | 0 | D | 100.00 | 67 | 43 | 68 | 64 | 72 | 62 | 61 | 61 | 40 | 55 | 55 | 64 | 60 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/1yrs | |||
Gavin White (R) | 0 | D | 100.00 | 62 | 41 | 68 | 66 | 62 | 62 | 60 | 59 | 40 | 58 | 54 | 65 | 59 | 50 | 50 | 1 | 50 | 60 | 21 | 975,000$/3yrs | |||
Nicolas Beaudin | 0 | D | 100.00 | 59 | 44 | 67 | 67 | 60 | 62 | 60 | 58 | 40 | 56 | 51 | 65 | 59 | 52 | 50 | 1 | 50 | 59 | 24 | 1,200,000$/3yrs | |||
Mattias Norlinder | 0 | D | 100.00 | 56 | 41 | 70 | 66 | 61 | 64 | 63 | 60 | 40 | 56 | 53 | 57 | 60 | 52 | 50 | 1 | 50 | 58 | 24 | 975,000$/1yrs | |||
Jerad Rosburg | 0 | D | 100.00 | 54 | 44 | 60 | 55 | 56 | 56 | 55 | 52 | 40 | 51 | 50 | 55 | 53 | 55 | 50 | 1 | 50 | 54 | 28 | 1,200,000$/4yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Erik Kallgren | 0 | 100.00 | 75 | 66 | 63 | 73 | 68 | 67 | 67 | 65 | 68 | 68 | 66 | 56 | 50 | 1 | 50 | 62 | 27 | 2,000,000$/3yrs |
Garret Sparks | 0 | 95.00 | 62 | 62 | 55 | 65 | 60 | 56 | 56 | 54 | 56 | 59 | 60 | 65 | 58 | 1 | 50 | 54 | 31 | 3,300,000$/2yrs |
Scratches | ||||||||||||||||||||
Mike Robinson | 0 | 100.00 | 60 | 58 | 57 | 65 | 59 | 57 | 55 | 53 | 57 | 59 | 53 | 53 | 50 | 1 | 50 | 53 | 27 | 975,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Pascal Vincent | 81 | 72 | 75 | 82 | 71 | 68 | 1 | CAN | 52 | 2 | 350,000$ |
General Manager |
---|
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 | Crunch (TAM) | C/LW | 55 | 23 | 41 | 64 | 7 | 6 | 0 | 77 | 188 | 53 | 116 | 12.23% | 32 | 23.79 | 5 | 11 | 16 | 2 | 0 | 2 | 105 | 6 | 0 | 60.49% | 0 | 1 | 1.16 | 2 | 4 | 1.20 | |||
2 | Alexander Edler | Crunch (TAM) | LW/RW | 33 | 19 | 11 | 30 | 12 | 46 | 10 | 54 | 70 | 21 | 38 | 27.14% | 15 | 22.19 | 5 | 2 | 7 | 0 | 1 | 1 | 46 | 2 | 0 | 45.71% | 1 | 1 | 0.91 | 1 | 1 | 0.77 | |||
3 | Dylan Gambrell | Crunch (TAM) | C | 55 | 10 | 17 | 27 | -15 | 24 | 10 | 87 | 100 | 38 | 63 | 10.00% | 20 | 20.26 | 1 | 4 | 5 | 0 | 2 | 2 | 63 | 1 | 2 | 46.81% | 0 | 0 | 0.49 | 1 | 2 | 0.36 | |||
4 | Ben Jones | Crunch (TAM) | C | 51 | 11 | 8 | 19 | 10 | 10 | 0 | 25 | 42 | 10 | 22 | 26.19% | 6 | 9.33 | 1 | 2 | 3 | 1 | 0 | 1 | 35 | 7 | 0 | 50.77% | 0 | 0 | 0.37 | 0 | 0 | 0.38 | |||
5 | Ben Harpur | Crunch (TAM) | D | 55 | 2 | 16 | 18 | -6 | 39 | 15 | 75 | 53 | 26 | 22 | 3.77% | 55 | 24.54 | 1 | 2 | 3 | 0 | 2 | 2 | 101 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.20 | |||
6 | Callahan Burke | Crunch (TAM) | C/RW | 50 | 6 | 10 | 16 | 2 | 33 | 5 | 58 | 86 | 16 | 58 | 6.98% | 8 | 17.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 47.95% | 0 | 0 | 0.32 | 0 | 0 | 0.29 | |||
7 | Garrett Pilon | Crunch (TAM) | C | 55 | 7 | 8 | 15 | -3 | 8 | 0 | 59 | 61 | 18 | 23 | 11.48% | 7 | 14.90 | 0 | 0 | 0 | 2 | 0 | 2 | 31 | 3 | 1 | 44.49% | 0 | 0 | 0.27 | 0 | 0 | 0.25 | |||
8 | Benoit-Olivier Groulx | Crunch (TAM) | C | 55 | 5 | 9 | 14 | -8 | 4 | 0 | 64 | 68 | 25 | 45 | 7.35% | 10 | 16.29 | 0 | 0 | 0 | 1 | 0 | 1 | 18 | 1 | 2 | 52.76% | 0 | 0 | 0.25 | 0 | 1 | 0.24 | |||
9 | Robert Hagg | Crunch (TAM) | D | 39 | 1 | 12 | 13 | 11 | 27 | 15 | 42 | 38 | 21 | 19 | 2.63% | 21 | 21.57 | 0 | 0 | 0 | 0 | 1 | 1 | 67 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.32 | |||
10 | Riley Sheahan | Crunch (TAM) | C/LW | 55 | 6 | 4 | 10 | 3 | 6 | 0 | 61 | 42 | 17 | 25 | 14.29% | 4 | 18.67 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 1 | 2 | 48.39% | 0 | 0 | 0.18 | 0 | 1 | 0.20 | |||
11 | Michael Mersch | Crunch (TAM) | RW | 9 | 2 | 6 | 8 | 7 | 16 | 10 | 15 | 22 | 9 | 15 | 9.09% | 1 | 18.83 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 0 | 0 | 0.89 | 0 | 0 | 0.83 | |||
12 | Connor Carrick | Crunch (TAM) | D | 55 | 0 | 8 | 8 | -8 | 64 | 30 | 55 | 32 | 12 | 16 | 0.00% | 32 | 19.48 | 0 | 1 | 1 | 0 | 0 | 0 | 74 | 0 | 0 | 0.00% | 0 | 0 | 0.15 | 0 | 0 | -0.07 | |||
13 | Christian Wolanin | Crunch (TAM) | D | 55 | 0 | 6 | 6 | -1 | 6 | 0 | 27 | 14 | 8 | 6 | 0.00% | 22 | 16.91 | 0 | 1 | 1 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.08 | |||
14 | Liam Foudy | Crunch (TAM) | C/LW | 51 | 3 | 3 | 6 | -8 | 0 | 0 | 54 | 36 | 10 | 14 | 8.33% | 6 | 14.08 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 46.15% | 0 | 0 | 0.12 | 0 | 0 | 0.10 | |||
15 | Taylor Fedun | Crunch (TAM) | D | 55 | 1 | 3 | 4 | -3 | 21 | 5 | 16 | 12 | 5 | 8 | 8.33% | 23 | 15.67 | 1 | 0 | 1 | 0 | 1 | 1 | 44 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | -0.02 | |||
16 | Dennis Cholowski | Crunch (TAM) | D | 28 | 0 | 3 | 3 | 2 | 6 | 0 | 7 | 8 | 4 | 2 | 0.00% | 2 | 13.08 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0.11 | 0 | 0 | 0.08 | |||
17 | Xavier Simoneau | Crunch (TAM) | LW/RW | 9 | 2 | 1 | 3 | -2 | 4 | 0 | 12 | 14 | 1 | 14 | 14.29% | 2 | 15.07 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 0 | 0.33 | 0 | 0 | 0.28 | |||
18 | Jordan Gross | Crunch (TAM) | D | 51 | 1 | 1 | 2 | 4 | 16 | 10 | 14 | 10 | 6 | 2 | 10.00% | 14 | 11.77 | 0 | 1 | 1 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0.04 | 0 | 0 | 0.02 | |||
19 | Jake Leschyshyn | Crunch (TAM) | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.01 | |||
20 | Carson Meyer | Crunch (TAM) | RW | 23 | 0 | 0 | 0 | -5 | 2 | 0 | 21 | 6 | 2 | 7 | 0.00% | 5 | 12.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
21 | Nick Swaney | Crunch (TAM) | RW | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 7 | 1 | 2 | 0.00% | 0 | 15.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | 0.25 | |||
22 | Yan Kuznetsov | Crunch (TAM) | D | 31 | 0 | 0 | 0 | -2 | 2 | 0 | 9 | 2 | 0 | 2 | 0.00% | 1 | 7.35 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
23 | Daemon Hunt | Crunch (TAM) | D | 55 | 0 | 0 | 0 | -2 | 6 | 0 | 7 | 0 | 0 | 1 | 0.00% | 3 | 5.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
Team Total or Average | 933 | 99 | 167 | 266 | -4 | 346 | 110 | 843 | 911 | 303 | 520 | 10.87% | 289 | 16.29 | 15 | 24 | 39 | 762 | 6 | 7 | 13 | 758 | 21 | 9 | 51.94% | 2160 | 240 | 246 | 1 | 2 | 0.35 | 4 | 9 |
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 | Erik Kallgren | Crunch (TAM) | 37 | 19 | 13 | 2 | 0.904 | 1.79 | 2142 | 0 | 9 | 64 | 664 | 359 | 0 | 1 | 0.600 | 5 | 34 | 20 | 3 | 2 | 1 |
2 | Garret Sparks | Crunch (TAM) | 20 | 10 | 9 | 1 | 0.851 | 2.80 | 1115 | 0 | 0 | 52 | 349 | 185 | 2 | 1 | 0.714 | 7 | 20 | 35 | 0 | 0 | 0 |
3 | Mike Robinson | Crunch (TAM) | 1 | 0 | 1 | 0 | 0.929 | 1.00 | 60 | 0 | 0 | 1 | 14 | 9 | 0 | 0 | 0.000 | 0 | 1 | 0 | 0 | 0 | 0 |
Team Total or Average | 58 | 29 | 23 | 3 | 0.886 | 2.12 | 3317 | 0 | 9 | 117 | 1027 | 553 | 2 | 2 | 0.667 | 12 | 55 | 55 | 3 | 2 | 1 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Whelan | RW | 26 | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA | |||
Alexander Edler | LW/RW | 38 | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | UFA | ||||
Antti Saarela | C | 23 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Ben Harpur | D | 29 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Ben Jones | C | 25 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Benoit-Olivier Groulx | C | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Callahan Burke | C/RW | 27 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Carson Meyer | RW | 26 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Christian Wolanin | D | 29 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Connor Carrick | D | 30 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | |||
Daemon Hunt | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
David Gustafsson | C/LW | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | RFA | ||||
Dennis Cholowski | D | 26 | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | 2,200,000$ | UFA | |||
Dylan Gambrell | C | 27 | 1,600,000$ | 1,600,000$ | UFA | ||||||
Erik Kallgren | G | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Garret Sparks | G | 31 | 3,300,000$ | 3,300,000$ | 3,300,000$ | UFA | |||||
Garrett Pilon | C | 26 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Gavin White | D | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Jake Leschyshyn | C | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Jerad Rosburg | D | 28 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Jordan Gross | D | 29 | 1,560,000$ | 1,560,000$ | 1,560,000$ | 1,560,000$ | 1,560,000$ | UFA | |||
Liam Foudy | C/LW | 24 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||
Mattias Norlinder | D | 24 | 975,000$ | 975,000$ | RFA | ||||||
Michael Mersch | RW | 31 | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||
Mike Robinson | G | 27 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Nick Swaney | RW | 26 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Nicolas Beaudin | D | 24 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | ||||
Riley Sheahan | C/LW | 32 | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | ||||
Robert Hagg | D | 29 | 4,200,000$ | 4,200,000$ | 4,200,000$ | UFA | |||||
Stelio Mattheos | C | 25 | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||
Taylor Fedun | D | 36 | 2,800,000$ | 2,800,000$ | UFA | ||||||
Tim Schaller | LW | 33 | 950,000$ | 975,000$ | UFA | ||||||
Tyce Thompson | RW | 24 | 1,650,000$ | 1,650,000$ | RFA | ||||||
Tyrell Goulbourne | LW | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Xavier Simoneau | LW/RW | 23 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Yan Kuznetsov | D | 22 | 975,000$ | 975,000$ | RFA |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
|
|
| |||||
|
|
|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
2nd Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
|
| ||||||
|
|
Goalies | |||||||
---|---|---|---|---|---|---|---|
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Gulls | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 19 | 42 | 46 | 13 | 6 | 264 | 402 | 375 | 27 | 10 | 3 | 6 | 11 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky |
2 | Moose | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 19 | 42 | 46 | 13 | 12 | 264 | 402 | 375 | 27 | 15 | 3 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 100.0% | 16.7% | 100.0% | 116.7 | LUCKY |
3 | Bruins | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 12 | 19 | 0 | 0 | 19 | 42 | 46 | 13 | 43 | 264 | 402 | 375 | 27 | 49 | 14 | 19 | 33 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 1 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 70.0% | 16.3% | 91.8% | 108.1 | LUCKY |
4 | Americans | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 0.667 | 3 | 5 | 8 | 0 | 1 | 19 | 42 | 46 | 13 | 49 | 264 | 402 | 375 | 27 | 37 | 10 | 31 | 41 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 66.7% | 6.1% | 94.6% | 100.7 | DULL |
5 | Heat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 8 | 4 | 1.000 | 8 | 15 | 23 | 0 | 2 | 19 | 42 | 46 | 13 | 39 | 264 | 402 | 375 | 27 | 13 | 8 | 23 | 41 | 4 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 100.0% | 20.5% | 100.0% | 120.5 | LUCKY |
6 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 19 | 42 | 46 | 13 | 20 | 264 | 402 | 375 | 27 | 42 | 6 | 23 | 16 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 25.0% | 5.0% | 90.5% | 95.5 | Unlucky |
7 | IceHogs | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 4 | 4 | 1.000 | 4 | 5 | 9 | 0 | 2 | 19 | 42 | 46 | 13 | 37 | 264 | 402 | 375 | 27 | 13 | 3 | 18 | 36 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 100.0% | 10.8% | 100.0% | 110.8 | LUCKY |
8 | Eagles | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 19 | 42 | 46 | 13 | 47 | 264 | 402 | 375 | 27 | 40 | 10 | 21 | 37 | 6 | 3 | 50.00% | 8 | 4 | 50.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 25.0% | 8.5% | 82.5% | 91.0 | Unlucky |
9 | Monsters | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 4 | 0.667 | 6 | 9 | 15 | 0 | 0 | 19 | 42 | 46 | 13 | 39 | 264 | 402 | 375 | 27 | 48 | 14 | 10 | 47 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 50.0% | 15.4% | 87.5% | 102.9 | FUN |
10 | Stars | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 19 | 42 | 46 | 13 | 24 | 264 | 402 | 375 | 27 | 30 | 8 | 4 | 37 | 0 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 80.0% | 16.7% | 93.3% | 110.0 | LUCKY |
11 | Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 19 | 42 | 46 | 13 | 30 | 264 | 402 | 375 | 27 | 11 | 5 | 19 | 19 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 80.0% | 20.0% | 90.9% | 110.9 | FUN |
12 | Checkers 1 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 5 | 0 | 3 | 0.750 | 5 | 8 | 13 | 0 | 0 | 19 | 42 | 46 | 13 | 38 | 264 | 402 | 375 | 27 | 33 | 11 | 4 | 29 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 50.0% | 13.2% | 84.8% | 98.0 | FUN |
13 | Reign | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 19 | 42 | 46 | 13 | 9 | 264 | 402 | 375 | 27 | 4 | 5 | 2 | 14 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 66.7% | 22.2% | 75.0% | 97.2 | FUN |
14 | Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 19 | 42 | 46 | 13 | 49 | 264 | 402 | 375 | 27 | 16 | 5 | 2 | 36 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 80.0% | 10.2% | 93.8% | 104.0 | LUCKY |
15 | Rocket | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 0.333 | 8 | 14 | 22 | 0 | 0 | 19 | 42 | 46 | 13 | 65 | 264 | 402 | 375 | 27 | 48 | 18 | 29 | 58 | 11 | 1 | 9.09% | 12 | 4 | 66.67% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 77.8% | 12.3% | 87.5% | 99.8 | FUN |
16 | Admirals | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 19 | 42 | 46 | 13 | 47 | 264 | 402 | 375 | 27 | 42 | 19 | 26 | 32 | 6 | 1 | 16.67% | 8 | 1 | 87.50% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 33.3% | 6.4% | 88.1% | 94.5 | Unlucky |
17 | Comets | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0.333 | 3 | 5 | 8 | 0 | 1 | 19 | 42 | 46 | 13 | 55 | 264 | 402 | 375 | 27 | 58 | 13 | 19 | 50 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 30.0% | 5.5% | 87.9% | 93.4 | Unlucky |
18 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 19 | 42 | 46 | 13 | 24 | 264 | 402 | 375 | 27 | 12 | 2 | 2 | 20 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 66.7% | 16.7% | 83.3% | 100.0 | FUN |
19 | Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 19 | 42 | 46 | 13 | 27 | 264 | 402 | 375 | 27 | 30 | 7 | 17 | 16 | 1 | 1 | 100.00% | 6 | 0 | 100.00% | 1 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 50.0% | 14.8% | 90.0% | 104.8 | FUN |
20 | Belleville Senators | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 0.250 | 7 | 13 | 20 | 1 | 0 | 19 | 42 | 46 | 13 | 82 | 264 | 402 | 375 | 27 | 101 | 21 | 33 | 66 | 10 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 43.8% | 8.5% | 89.1% | 97.6 | Unlucky |
21 | Roadrunners | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 19 | 42 | 46 | 13 | 23 | 264 | 402 | 375 | 27 | 22 | 6 | 10 | 17 | 0 | 0 | 0.00% | 5 | 2 | 60.00% | 1 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 66.7% | 8.7% | 86.4% | 95.1 | Unlucky |
22 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 19 | 42 | 46 | 13 | 39 | 264 | 402 | 375 | 27 | 40 | 12 | 7 | 32 | 8 | 3 | 37.50% | 1 | 1 | 0.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 20.0% | 12.8% | 77.5% | 90.3 | FUN |
23 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 19 | 42 | 46 | 13 | 16 | 264 | 402 | 375 | 27 | 12 | 3 | 2 | 16 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 66.7% | 18.8% | 91.7% | 110.4 | LUCKY |
24 | Thunderbirds | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 19 | 42 | 46 | 13 | 27 | 264 | 402 | 375 | 27 | 45 | 22 | 6 | 16 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 60.0% | 22.2% | 88.9% | 111.1 | FUN |
25 | Marlies | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.333 | 4 | 5 | 9 | 0 | 0 | 19 | 42 | 46 | 13 | 64 | 264 | 402 | 375 | 27 | 109 | 36 | 12 | 44 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 33.3% | 6.3% | 92.7% | 98.9 | DULL |
26 | Canucks | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 6 | 14 | -8 | 2 | 0.250 | 6 | 6 | 12 | 1 | 0 | 19 | 42 | 46 | 13 | 67 | 264 | 402 | 375 | 27 | 86 | 29 | 42 | 64 | 11 | 3 | 27.27% | 6 | 2 | 66.67% | 1 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 20.0% | 9.0% | 83.7% | 92.7 | FUN |
27 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 3 | 6 | 0 | 0 | 19 | 42 | 46 | 13 | 35 | 264 | 402 | 375 | 27 | 29 | 8 | 23 | 20 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 14.3% | 8.6% | 75.9% | 84.4 | Unlucky |
28 | Silver Knights | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 3 | 0 | 3 | 0.750 | 3 | 4 | 7 | 0 | 0 | 19 | 42 | 46 | 13 | 36 | 264 | 402 | 375 | 27 | 14 | 3 | 6 | 44 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 1 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 60.0% | 8.3% | 78.6% | 86.9 | Unlucky |
29 | Checkers 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 19 | 42 | 46 | 13 | 6 | 264 | 402 | 375 | 27 | 20 | 14 | 7 | 19 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 0.0% | 0.0% | 85.0% | 85.0 | Unlucky |
_Vs Division | 12 | 6 | 14 | 0 | 3 | 0 | 0 | 0 | 26 | 38 | -12 | 18 | 0.750 | 26 | 41 | 67 | 0 | 1 | 19 | 42 | 46 | 13 | 239 | 264 | 402 | 375 | 27 | 259 | 62 | 101 | 201 | 20 | 7 | 35.00% | 29 | 4 | 86.21% | 1 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 35.8% | 10.9% | 85.3% | 96.2 | FUN | |
_Vs Conference | 33 | 9 | 18 | 0 | 4 | 1 | 1 | 0 | 66 | 88 | -22 | 29 | 0.439 | 66 | 104 | 170 | 2 | 2 | 19 | 42 | 46 | 13 | 647 | 264 | 402 | 375 | 27 | 722 | 201 | 271 | 536 | 64 | 13 | 20.31% | 79 | 15 | 81.01% | 3 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 42.1% | 10.2% | 87.8% | 98.0 | FUN | |
_Since Last GM Reset | 55 | 18 | 23 | 0 | 9 | 1 | 2 | 2 | 118 | 121 | -3 | 61 | 0.555 | 118 | 189 | 307 | 2 | 9 | 19 | 42 | 46 | 13 | 1055 | 264 | 402 | 375 | 27 | 1029 | 318 | 423 | 923 | 103 | 21 | 20.39% | 125 | 26 | 79.20% | 6 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 50.5% | 11.2% | 88.2% | 99.4 | FUN | |
Total | 55 | 18 | 23 | 0 | 9 | 1 | 2 | 2 | 118 | 121 | -3 | 61 | 0.555 | 118 | 189 | 307 | 2 | 9 | 19 | 42 | 46 | 13 | 1055 | 264 | 402 | 375 | 27 | 1029 | 318 | 423 | 923 | 103 | 21 | 20.39% | 125 | 26 | 79.20% | 6 | 445 | 840 | 52.98% | 434 | 827 | 52.48% | 297 | 570 | 52.11% | 987 | 396 | 1004 | 595 | 1331 | 664 | 50.5% | 11.2% | 88.2% | 99.4 | FUN |
Puck Time | |
---|---|
Offensive Zone | 17 |
Neutral Zone | 24 |
Defensive Zone | 18 |
Puck Time | |
---|---|
Offensive Zone Start | 840 |
Neutral Zone Start | 570 |
Defensive Zone Start | 827 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1176 |
Faceoffs Lost | 1061 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.8 | 9.57 |
2nd Period | 12.1 | 20.31 |
3rd Period | 18.9 | 30.68 |
Overtime | 19.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.3 | 0.64 |
2nd Period | 1.1 | 1.65 |
3rd Period | 1.9 | 2.67 |
Overtime | 2.2 | 2.83 |
Even Strenght Goal | 89 |
---|---|
PP Goal | 21 |
PK Goal | 6 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 14 | 15 |
Lost | 12 | 11 |
Overtime Lost | 2 | 1 |
PP Attempt | 103 |
---|---|
PP Goal | 21 |
PK Attempt | 125 |
PK Goal Against | 26 |
Home | |
---|---|
Shots For | 19.2 |
Shots Against | 18.7 |
Goals For | 2.1 |
Goals Against | 2.2 |
Hits | 16.8 |
Shots Blocked | 5.8 |
Pim | 7.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mon, Oct 14 | MTL | @ | TAM | MTL3,TAM2 | RECAP | |||||||||
Wed, Oct 16 | MIN | @ | TAM | MIN1,TAM2 | RECAP | |||||||||
Thu, Oct 17 | TAM | @ | NJD | TAM2,NJD0 | RECAP | |||||||||
Sat, Oct 19 | TAM | @ | TOR | TAM0,TOR3 | RECAP | |||||||||
Mon, Oct 21 | VAN | @ | TAM | VAN3,TAM1 | RECAP | |||||||||
Wed, Oct 23 | TAM | @ | VAN | TAM2,VAN1 (OT) | RECAP | |||||||||
Thu, Oct 24 | OTT | @ | TAM | OTT2,TAM0 | RECAP | |||||||||
Sat, Oct 26 | TAM | @ | OTT | TAM2,OTT3 | RECAP | |||||||||
Tue, Oct 29 | CLB | @ | TAM | CLB4,TAM1 | RECAP | |||||||||
Thu, Oct 31 | MTL | @ | TAM | MTL2,TAM1 | RECAP | |||||||||
Fri, Nov 1 | TAM | @ | BUF | TAM2,BUF1 | RECAP | |||||||||
Sun, Nov 3 | TAM | @ | LOS | TAM2,LOS1 (OT) | RECAP | |||||||||
Tue, Nov 5 | CHI | @ | TAM | CHI2,TAM1 (SO) | RECAP | |||||||||
Fri, Nov 8 | TAM | @ | CLB | TAM2,CLB1 (OT) | RECAP | |||||||||
Sat, Nov 9 | TAM | @ | ANA | TAM0,ANA1 | RECAP | |||||||||
Mon, Nov 11 | NJD | @ | TAM | NJD4,TAM0 | RECAP | |||||||||
Wed, Nov 13 | SEA | @ | TAM | SEA3,TAM0 | RECAP | |||||||||
Fri, Nov 15 | TAM | @ | CHI | TAM2,CHI1 (SO) | RECAP | |||||||||
Sun, Nov 17 | PIT | @ | TAM | PIT4,TAM1 | RECAP | |||||||||
Tue, Nov 19 | VAN | @ | TAM | VAN4,TAM2 | RECAP | |||||||||
Fri, Nov 22 | TAM | @ | S J | TAM3,S J1 | RECAP | |||||||||
Sat, Nov 23 | TAM | @ | VAN | TAM1,VAN6 | RECAP | |||||||||
Tue, Nov 26 | OTT | @ | TAM | OTT5,TAM3 | RECAP | |||||||||
Wed, Nov 27 | TAM | @ | OTT | TAM2,OTT1 | RECAP | |||||||||
Fri, Nov 29 | TOR | @ | TAM | TOR1,TAM3 | RECAP | |||||||||
Sun, Dec 1 | TAM | @ | CAR | TAM1,CAR4 | RECAP | |||||||||
Tue, Dec 3 | TAM | @ | DAL | TAM1,DAL0 (OT) | RECAP | |||||||||
Thu, Dec 5 | EDM | @ | TAM | EDM1,TAM6 | RECAP | |||||||||
Sun, Dec 8 | TAM | @ | PIT | TAM4,PIT5 | RECAP | |||||||||
Mon, Dec 9 | NAS | @ | TAM | NAS1,TAM2 (OT) | RECAP | |||||||||
Thu, Dec 12 | TAM | @ | COL | TAM2,COL3 | RECAP | |||||||||
Fri, Dec 13 | COL | @ | TAM | COL4,TAM2 | RECAP | |||||||||
Mon, Dec 16 | PHO | @ | TAM | PHO3,TAM2 (SO) | RECAP | |||||||||
Wed, Dec 18 | CLB | @ | TAM | CLB1,TAM3 | RECAP | |||||||||
Fri, Dec 20 | TAM | @ | WPG | TAM2,WPG0 | RECAP | |||||||||
Mon, Dec 23 | FLO | @ | TAM | FLO1,TAM2 (SO) | RECAP | |||||||||
Wed, Dec 25 | TAM | @ | CHI | TAM1,CHI0 (OT) | RECAP | |||||||||
Fri, Dec 27 | TAM | @ | CAL | TAM3,CAL0 | RECAP | |||||||||
Sun, Dec 29 | TAM | @ | NYR | TAM4,NYR3 | RECAP | |||||||||
Mon, Dec 30 | BUF | @ | TAM | BUF0,TAM1 (OT) | RECAP | |||||||||
Wed, Jan 1 | TAM | @ | NJD | TAM1,NJD3 | RECAP | |||||||||
Fri, Jan 3 | TOR | @ | TAM | TOR4,TAM1 | RECAP | |||||||||
Sun, Jan 5 | CHI | @ | TAM | CHI0,TAM3 | RECAP | |||||||||
Tue, Jan 7 | TAM | @ | FLO | TAM3,FLO4 (OT) | RECAP | |||||||||
Thu, Jan 9 | MIN | @ | TAM | MIN0,TAM3 | RECAP | |||||||||
Sun, Jan 12 | CAL | @ | TAM | CAL0,TAM5 | RECAP | |||||||||
Tue, Jan 14 | TAM | @ | NYI | TAM4,NYI2 | RECAP | |||||||||
Thu, Jan 16 | DAL | @ | TAM | DAL2,TAM3 | RECAP | |||||||||
Sat, Jan 18 | TAM | @ | WAS | TAM3,WAS7 | RECAP | |||||||||
Sun, Jan 19 | MTL | @ | TAM | MTL1,TAM5 | RECAP | |||||||||
Tue, Jan 21 | TAM | @ | BOS | TAM3,BOS1 | RECAP | |||||||||
Thu, Jan 23 | BOS | @ | TAM | BOS3,TAM4 (OT) | RECAP | |||||||||
Sat, Jan 25 | TAM | @ | NAS | TAM1,NAS4 | RECAP | |||||||||
Sun, Jan 26 | TAM | @ | BUF | TAM0,BUF1 | RECAP | |||||||||
Tue, Jan 28 | STL | @ | TAM | STL5,TAM6 (OT) | RECAP | |||||||||
Thu, Jan 30 | TAM | @ | EDM | |||||||||||
Sat, Feb 1 | ANA | @ | TAM | |||||||||||
Mon, Feb 3 | TAM | @ | MIN | |||||||||||
Wed, Feb 5 | TAM | @ | PHI | |||||||||||
Fri, Feb 7 | WPG | @ | TAM | |||||||||||
Sun, Feb 9 | DET | @ | TAM | |||||||||||
Wed, Feb 12 | TAM | @ | DET | |||||||||||
Thu, Feb 13 | PHI | @ | TAM | |||||||||||
Sat, Feb 15 | TAM | @ | SEA | |||||||||||
Mon, Feb 17 | BUF | @ | TAM | |||||||||||
Wed, Feb 19 | TAM | @ | LOS | |||||||||||
Fri, Feb 21 | LOS | @ | TAM | |||||||||||
Sun, Feb 23 | TAM | @ | ANA | |||||||||||
Tue, Feb 25 | S J | @ | TAM | |||||||||||
Sat, Mar 1 | CAR | @ | TAM | |||||||||||
Tue, Mar 4 | TAM | @ | TOR | |||||||||||
Wed, Mar 5 | WAS | @ | TAM | |||||||||||
Sun, Mar 9 | NYI | @ | TAM | |||||||||||
Wed, Mar 12 | TAM | @ | CAL | |||||||||||
Thu, Mar 13 | LOS | @ | TAM | |||||||||||
Sat, Mar 15 | TAM | @ | MTL | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Mar 17 | TAM | @ | CLB | |||||||||||
Wed, Mar 19 | TAM | @ | PHO | |||||||||||
Thu, Mar 20 | NYR | @ | TAM | |||||||||||
Sun, Mar 23 | NJD | @ | TAM | |||||||||||
Mon, Mar 24 | TAM | @ | MTL | |||||||||||
Tue, Mar 25 | TAM | @ | STL |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
6,161,000$ | 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 |
13 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
6,161,000$ | 6,158,500$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
4,023,181$ | 0$ | 3,797,442$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 87 | 38,527$ | 2,311,620$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,311,620$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie |
---|---|---|
|
|
|