Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cole Schneider | 25 | C/LW | 99.00 | 54 | 58 | 67 | 62 | 65 | 68 | 65 | 62 | 55 | 59 | 63 | 62 | 56 | 74 | 64 | 0 | 50 | 65 | 33 | 750,000$/1yrs | |||
Marian Studenic | 43 | LW/RW | 100.00 | 60 | 52 | 74 | 63 | 62 | 66 | 64 | 60 | 54 | 61 | 61 | 66 | 54 | 59 | 57 | 0 | 50 | 65 | 25 | 750,000$/2yrs | |||
Laurent Dauphin | 26 | C | 99.00 | 60 | 56 | 73 | 64 | 66 | 64 | 62 | 59 | 63 | 64 | 60 | 63 | 54 | 61 | 59 | 0 | 50 | 65 | 29 | 750,000$/1yrs | |||
Alex Limoges | 92 | C/LW | 100.00 | 54 | 57 | 67 | 61 | 65 | 66 | 64 | 62 | 55 | 60 | 62 | 61 | 54 | 62 | 57 | 0 | 50 | 64 | 26 | 780,000$/2yrs | |||
Raphael Lavoie | 50 | RW | 99.00 | 55 | 57 | 66 | 63 | 70 | 65 | 63 | 60 | 55 | 57 | 61 | 62 | 55 | 56 | 54 | 0 | 50 | 63 | 23 | 925,000$/2yrs | |||
Garrett Pilon | 40 | RW | 100.00 | 55 | 55 | 66 | 60 | 61 | 64 | 63 | 59 | 60 | 57 | 58 | 62 | 54 | 60 | 56 | 0 | 50 | 62 | 26 | 750,000$/2yrs | |||
Jack Dugan | 70 | C/LW | 100.00 | 55 | 58 | 65 | 58 | 67 | 64 | 63 | 58 | 55 | 57 | 57 | 61 | 54 | 60 | 56 | 0 | 50 | 62 | 26 | 750,000$/1yrs | |||
Tyler Angle | 59 | C | 100.00 | 55 | 55 | 66 | 60 | 57 | 67 | 64 | 58 | 65 | 57 | 58 | 59 | 55 | 56 | 54 | 0 | 50 | 62 | 23 | 925,000$/2yrs | |||
Bokondji Imama | 16 | LW | 100.00 | 59 | 55 | 60 | 56 | 71 | 64 | 64 | 56 | 55 | 56 | 56 | 60 | 54 | 63 | 58 | 0 | 50 | 61 | 27 | 750,000$/2yrs | |||
Matej Blumel (R) | 76 | RW | 100.00 | 52 | 52 | 66 | 60 | 62 | 62 | 60 | 57 | 52 | 57 | 58 | 58 | 51 | 54 | 51 | 0 | 50 | 61 | 23 | 925,000$/1yrs | |||
Nathan Legare (R) | 34 | RW | 99.00 | 56 | 55 | 64 | 61 | 65 | 66 | 65 | 57 | 55 | 56 | 57 | 58 | 54 | 55 | 53 | 0 | 50 | 61 | 23 | 905,000$/2yrs | |||
Pierre-Olivier Joseph | 73 | D | 100.00 | 63 | 45 | 73 | 70 | 68 | 70 | 72 | 60 | 40 | 69 | 60 | 72 | 54 | 57 | 57 | 0 | 50 | 69 | 24 | 825,000$/2yrs | |||
Isaak Phillips | 41 | D | 100.00 | 59 | 59 | 68 | 63 | 67 | 66 | 63 | 58 | 40 | 61 | 57 | 65 | 54 | 55 | 53 | 0 | 50 | 64 | 22 | 925,000$/2yrs | |||
Jimmy Schuldt | 3 | D | 100.00 | 55 | 56 | 65 | 60 | 66 | 67 | 65 | 58 | 40 | 58 | 56 | 64 | 54 | 65 | 59 | 0 | 50 | 63 | 28 | 750,000$/2yrs | |||
Ole Bjorgvik-Holm | 94 | D | 100.00 | 69 | 34 | 83 | 57 | 78 | 72 | 77 | 59 | 30 | 58 | 53 | 56 | 46 | 59 | 61 | 0 | 50 | 63 | 21 | 896,667$/3yrs | |||
Aaron Ness | 42 | D | 100.00 | 55 | 55 | 66 | 58 | 59 | 66 | 64 | 57 | 40 | 57 | 56 | 63 | 54 | 74 | 64 | 0 | 50 | 62 | 33 | 775,000$/1yrs | |||
Xavier Bouchard (R) | 82 | D | 100.00 | 55 | 54 | 67 | 55 | 66 | 57 | 57 | 54 | 40 | 55 | 54 | 61 | 54 | 56 | 54 | 0 | 50 | 59 | 24 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Adam Cracknell | 14 | C | 100.00 | 55 | 57 | 66 | 62 | 70 | 66 | 64 | 62 | 60 | 59 | 61 | 63 | 60 | 83 | 69 | 0 | 50 | 65 | 38 | 750,000$/1yrs | |||
Shawn Boudrias (R) | 78 | RW | 100.00 | 54 | 54 | 64 | 54 | 67 | 54 | 54 | 54 | 55 | 54 | 54 | 58 | 54 | 58 | 55 | 0 | 50 | 58 | 24 | 750,000$/1yrs | |||
Alex Laferriere (R) | 56 | C | 100.00 | 51 | 51 | 65 | 52 | 55 | 52 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 52 | 50 | 0 | 50 | 55 | 22 | 875,000$/2yrs | |||
Ville Koivunen (R) | 63 | C | 100.00 | 52 | 51 | 65 | 52 | 55 | 53 | 53 | 51 | 67 | 51 | 51 | 57 | 51 | 49 | 48 | 0 | 50 | 55 | 20 | 880,000$/3yrs | |||
Brett Berard (R) | 52 | C | 100.00 | 51 | 51 | 65 | 51 | 52 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 51 | 49 | 0 | 50 | 55 | 21 | 925,000$/4yrs | |||
David Goyette (R) | 88 | C | 100.00 | 51 | 51 | 65 | 51 | 55 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 48 | 48 | 0 | 50 | 55 | 20 | 950,000$/4yrs | |||
Danny Dekeyser | 65 | D | 95.20 | 57 | 50 | 72 | 59 | 63 | 62 | 62 | 56 | 40 | 59 | 55 | 67 | 54 | 74 | 64 | 0 | 50 | 63 | 34 | 750,000$/1yrs | |||
Tyler Wotherspoon | 24 | D | 100.00 | 55 | 55 | 66 | 59 | 67 | 66 | 63 | 57 | 40 | 57 | 56 | 63 | 54 | 69 | 61 | 0 | 50 | 63 | 31 | 762,500$/2yrs | |||
Brady Keeper | 25 | D | 100.00 | 55 | 54 | 62 | 55 | 62 | 59 | 58 | 55 | 44 | 55 | 54 | 58 | 54 | 61 | 57 | 0 | 50 | 59 | 27 | 762,500$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Erik Kallgren | 31 | 96.00 | 63 | 61 | 61 | 72 | 66 | 59 | 69 | 63 | 62 | 61 | 68 | 63 | 57 | 0 | 50 | 65 | 27 | 750,000$/2yrs |
Maxime Lagace | 33 | 100.00 | 72 | 52 | 53 | 77 | 57 | 79 | 57 | 64 | 60 | 58 | 52 | 53 | 52 | 0 | 50 | 64 | 31 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
Dylan Ferguson | 60 | 100.00 | 58 | 57 | 57 | 68 | 64 | 56 | 66 | 58 | 59 | 57 | 65 | 60 | 55 | 0 | 50 | 61 | 25 | 750,000$/1yrs |
Strauss Mann | 37 | 100.00 | 54 | 56 | 56 | 59 | 63 | 54 | 64 | 56 | 54 | 54 | 55 | 57 | 52 | 0 | 50 | 58 | 25 | 750,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Stéphane Richer | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 57 | 5 | 0$ |
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 | Cole Schneider | Monsters (CLB) | C/LW | 3 | 3 | 1 | 4 | 2 | 0 | 0 | 6 | 13 | 4 | 9 | 23.08% | 1 | 19.48 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 40.28% | 0 | 0 | 1.33 | 0 | 0 | 1.60 | |||
2 | Isaak Phillips | Monsters (CLB) | D | 3 | 0 | 4 | 4 | -1 | 4 | 0 | 4 | 3 | 2 | 4 | 0.00% | 6 | 21.29 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 1.33 | 0 | 0 | 0.75 | |||
3 | Garrett Pilon | Monsters (CLB) | RW | 3 | 2 | 1 | 3 | -4 | 4 | 0 | 5 | 12 | 0 | 4 | 16.67% | 0 | 18.08 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 40.63% | 0 | 0 | 1.00 | 0 | 0 | 0.32 | |||
4 | Alex Limoges | Monsters (CLB) | C/LW | 3 | 0 | 2 | 2 | 2 | 2 | 0 | 3 | 8 | 2 | 2 | 0.00% | 0 | 17.03 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 28.57% | 0 | 0 | 0.67 | 0 | 0 | 0.77 | |||
5 | Danny Dekeyser | Monsters (CLB) | D | 3 | 1 | 1 | 2 | 0 | 2 | 0 | 6 | 3 | 2 | 4 | 33.33% | 2 | 18.22 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 1 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.53 | |||
6 | Pierre-Olivier Joseph | Monsters (CLB) | D | 3 | 0 | 2 | 2 | 2 | 0 | 0 | 4 | 3 | 1 | 3 | 0.00% | 9 | 19.16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.91 | |||
7 | Laurent Dauphin | Monsters (CLB) | C | 3 | 2 | 0 | 2 | 0 | 2 | 0 | 7 | 12 | 3 | 9 | 16.67% | 0 | 20.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 59.09% | 0 | 0 | 0.67 | 0 | 0 | 0.80 | |||
8 | Tyler Angle | Monsters (CLB) | C | 3 | 0 | 2 | 2 | -4 | 2 | 0 | 6 | 5 | 3 | 5 | 0.00% | 0 | 19.85 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 33.33% | 0 | 0 | 0.67 | 0 | 0 | 0.06 | |||
9 | Nathan Legare | Monsters (CLB) | RW | 3 | 1 | 1 | 2 | 2 | 0 | 0 | 7 | 7 | 2 | 3 | 14.29% | 1 | 21.89 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 28.57% | 0 | 0 | 0.67 | 0 | 0 | 0.95 | |||
10 | Marian Studenic | Monsters (CLB) | LW/RW | 3 | 0 | 1 | 1 | -1 | 0 | 0 | 5 | 7 | 0 | 10 | 0.00% | 1 | 17.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.33 | 0 | 0 | 0.38 | |||
11 | Jimmy Schuldt | Monsters (CLB) | D | 3 | 0 | 1 | 1 | -4 | 0 | 0 | 3 | 6 | 0 | 4 | 0.00% | 5 | 20.49 | 0 | 1 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.01 | |||
12 | Ole Bjorgvik-Holm | Monsters (CLB) | D | 3 | 1 | 0 | 1 | 0 | 2 | 0 | 7 | 3 | 0 | 1 | 33.33% | 3 | 22.96 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.31 | |||
13 | Raphael Lavoie | Monsters (CLB) | RW | 3 | 0 | 1 | 1 | -4 | 0 | 0 | 3 | 6 | 4 | 3 | 0.00% | 2 | 21.68 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 25.00% | 0 | 0 | 0.33 | 0 | 0 | -0.02 | |||
14 | Aaron Ness | Monsters (CLB) | D | 3 | 0 | 0 | 0 | -3 | 0 | 0 | 5 | 1 | 0 | 1 | 0.00% | 4 | 16.85 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.22 | |||
15 | Bokondji Imama | Monsters (CLB) | LW | 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 | |||
16 | Xavier Bouchard | Monsters (CLB) | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
17 | Jack Dugan | Monsters (CLB) | C/LW | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
18 | Matej Blumel | Monsters (CLB) | RW | 3 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 5 | 0 | 2 | 0.00% | 0 | 16.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.03 | |||
Team Total or Average | 54 | 10 | 17 | 27 | -14 | 18 | 0 | 75 | 94 | 23 | 64 | 10.64% | 34 | 16.33 | 2 | 4 | 6 | 69 | 0 | 0 | 0 | 55 | 1 | 1 | 44.21% | 242 | 0 | 0 | 0 | 0 | 0.61 | 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 | Erik Kallgren | Monsters (CLB) | 3 | 1 | 2 | 0 | 0.900 | 3.67 | 180 | 0 | 0 | 11 | 110 | 0 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 |
Team Total or Average | 3 | 1 | 2 | 0 | 0.900 | 3.67 | 180 | 0 | 0 | 11 | 110 | 0 | 0 | 0 | 0.000 | 0 | 3 | 0 | 0 | 0 | 0 |
Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aaron Ness | D | 33 | 775,000$ | 775,000$ | UFA | ||||||
Adam Cracknell | C | 38 | 750,000$ | 750,000$ | UFA | ||||||
Alex Laferriere | C | 22 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Alex Limoges | C/LW | 26 | 780,000$ | 780,000$ | 775,000$ | UFA | |||||
Bokondji Imama | LW | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Brady Keeper | D | 27 | 762,500$ | 762,500$ | 775,000$ | UFA | |||||
Brett Berard | C | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | |||
Cole Schneider | C/LW | 33 | 750,000$ | 750,000$ | UFA | ||||||
Danny Dekeyser | D | 34 | 750,000$ | 750,000$ | UFA | ||||||
David Goyette | C | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | |||
Dylan Ferguson | G | 25 | 750,000$ | 750,000$ | RFA | ||||||
Erik Kallgren | G | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Garrett Pilon | RW | 26 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Isaak Phillips | D | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Jack Dugan | C/LW | 26 | 750,000$ | 750,000$ | RFA | ||||||
Jimmy Schuldt | D | 28 | 750,000$ | 775,000$ | 775,000$ | UFA | |||||
Laurent Dauphin | C | 29 | 750,000$ | 750,000$ | UFA | ||||||
Marian Studenic | LW/RW | 25 | 750,000$ | 750,000$ | 775,000$ | RFA | |||||
Matej Blumel | RW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Maxime Lagace | G | 31 | 750,000$ | 750,000$ | UFA | ||||||
Nathan Legare | RW | 23 | 905,000$ | 905,000$ | 905,000$ | RFA | |||||
Ole Bjorgvik-Holm | D | 21 | 896,667$ | 896,667$ | 896,667$ | 896,667$ | RFA | ||||
Pierre-Olivier Joseph | D | 24 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Raphael Lavoie | RW | 23 | 925,000$ | 925,000$ | 874,125$ | RFA | |||||
Shawn Boudrias | RW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Strauss Mann | G | 25 | 750,000$ | 925,000$ | RFA | ||||||
Tyler Angle | C | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Tyler Wotherspoon | D | 31 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Ville Koivunen | C | 20 | 880,000$ | 880,000$ | 880,000$ | 880,000$ | RFA | ||||
Xavier Bouchard | D | 24 | 750,000$ | 750,000$ | RFA |
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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 | Marlies | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 3 | 3 | 4 | 0 | 94 | 35 | 25 | 34 | 0 | 110 | 34 | 18 | 75 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 41 | 89 | 46.07% | 45 | 104 | 43.27% | 21 | 49 | 42.86% | 62 | 41 | 79 | 22 | 37 | 17 | 42.1% | 10.6% | 90.0% | 100.6 | FUN |
_Vs Conference | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 3 | 3 | 4 | 0 | 94 | 35 | 25 | 34 | 0 | 110 | 34 | 18 | 75 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 41 | 89 | 46.07% | 45 | 104 | 43.27% | 21 | 49 | 42.86% | 62 | 41 | 79 | 22 | 37 | 17 | 42.1% | 10.6% | 90.0% | 100.6 | FUN | |
_Since Last GM Reset | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 3 | 3 | 4 | 0 | 94 | 35 | 25 | 34 | 0 | 110 | 34 | 18 | 75 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 41 | 89 | 46.07% | 45 | 104 | 43.27% | 21 | 49 | 42.86% | 62 | 41 | 79 | 22 | 37 | 17 | 42.1% | 10.6% | 90.0% | 100.6 | FUN | |
Total | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0.333 | 10 | 17 | 27 | 0 | 0 | 3 | 3 | 4 | 0 | 94 | 35 | 25 | 34 | 0 | 110 | 34 | 18 | 75 | 8 | 2 | 25.00% | 7 | 0 | 100.00% | 0 | 41 | 89 | 46.07% | 45 | 104 | 43.27% | 21 | 49 | 42.86% | 62 | 41 | 79 | 22 | 37 | 17 | 42.1% | 10.6% | 90.0% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 12 |
Defensive Zone | 26 |
Puck Time | |
---|---|
Offensive Zone Start | 89 |
Neutral Zone Start | 49 |
Defensive Zone Start | 104 |
Puck Time | |
---|---|
With Puck | 27 |
Without Puck | 32 |
Faceoffs | |
---|---|
Faceoffs Won | 107 |
Faceoffs Lost | 135 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.7 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 31.3 | 30.68 |
Overtime | 31.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 8 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 1 | 0 |
Lost | 1 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 8 |
---|---|
PP Goal | 2 |
PK Attempt | 7 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 31.3 |
Shots Against | 36.7 |
Goals For | 3.3 |
Goals Against | 3.7 |
Hits | 25.0 |
Shots Blocked | 11.3 |
Pim | 6.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fri, Apr 19 | MAR | @ | CLE | MAR5,CLE3 | RECAP | |||||||||
Sun, Apr 21 | MAR | @ | CLE | MAR3,CLE5 | RECAP | |||||||||
Tue, Apr 23 | CLE | @ | MAR | CLE2,MAR3 | RECAP | |||||||||
Thu, Apr 25 | CLE | @ | MAR | |||||||||||
Sat, Apr 27 | MAR | @ | CLE | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Apr 29 | CLE | @ | MAR | |||||||||||
Wed, May 1 | MAR | @ | CLE |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,448,667$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Cleveland | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 27$ | 16$ | $ | $ | $ |
Attendance | 4000 | 2000 | |||
Attendance PCT | 100.00% | 100.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
39 | 3000 - 100.00% | 104,300$ | 208,600$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,448,667$ | 2,428,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 9 | 0$ | 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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