Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Cedric Paquette | 13 | C | 100.00 | 83 | 45 | 73 | 60 | 75 | 79 | 77 | 61 | 74 | 62 | 63 | 71 | 64 | 72 | 73 | 0 | 50 | 70 | 29 | 4,332,000$/1yrs | |||
Alex Limoges (A) | 0 | LW | 100.00 | 66 | 38 | 93 | 65 | 78 | 80 | 86 | 61 | 64 | 62 | 66 | 61 | 65 | 66 | 67 | 0 | 50 | 69 | 25 | 1,140,000$/2yrs | |||
Marian Studenic | 43 | LW/RW | 100.00 | 63 | 39 | 86 | 63 | 74 | 80 | 79 | 65 | 61 | 64 | 65 | 68 | 64 | 65 | 67 | 0 | 50 | 69 | 24 | 953,125$/2yrs | |||
Steven Lorentz | 61 | C/LW/RW | 100.00 | 65 | 38 | 95 | 64 | 88 | 77 | 86 | 65 | 80 | 62 | 61 | 56 | 62 | 66 | 67 | 0 | 50 | 69 | 27 | 1,099,667$/3yrs | |||
Rafael Harvey-Pinard (A) | 49 | LW/RW | 100.00 | 76 | 35 | 83 | 64 | 66 | 82 | 86 | 64 | 57 | 62 | 66 | 61 | 65 | 64 | 69 | 0 | 50 | 69 | 24 | 825,000$/2yrs | |||
Adam Mascherin | 72 | LW | 100.00 | 63 | 46 | 81 | 64 | 72 | 77 | 82 | 65 | 68 | 61 | 63 | 62 | 64 | 65 | 67 | 0 | 50 | 68 | 24 | 750,000$/1yrs | |||
Garrett Pilon | 40 | C | 100.00 | 63 | 37 | 93 | 65 | 73 | 86 | 79 | 61 | 75 | 62 | 67 | 61 | 65 | 64 | 66 | 0 | 50 | 68 | 25 | 869,500$/2yrs | |||
Bokondji Imama | 16 | LW | 100.00 | 77 | 85 | 64 | 59 | 82 | 69 | 80 | 60 | 56 | 61 | 62 | 58 | 57 | 66 | 68 | 0 | 50 | 67 | 26 | 980,500$/2yrs | |||
Otto Somppi | 42 | C | 100.00 | 68 | 39 | 87 | 63 | 79 | 75 | 80 | 63 | 70 | 62 | 58 | 61 | 63 | 64 | 66 | 0 | 50 | 67 | 25 | 1,049,000$/1yrs | |||
Mark Kastelic | 47 | C | 100.00 | 81 | 36 | 65 | 58 | 85 | 79 | 86 | 53 | 75 | 60 | 59 | 61 | 56 | 63 | 64 | 0 | 50 | 67 | 24 | 821,667$/2yrs | |||
Jack Dugan | 70 | LW | 100.00 | 68 | 35 | 78 | 61 | 77 | 76 | 73 | 60 | 66 | 63 | 58 | 57 | 62 | 64 | 66 | 0 | 50 | 66 | 25 | 1,156,250$/2yrs | |||
Dominic Turgeon | 88 | C | 100.00 | 61 | 39 | 88 | 59 | 80 | 76 | 85 | 58 | 62 | 56 | 57 | 61 | 59 | 66 | 69 | 0 | 50 | 66 | 27 | 999,000$/1yrs | |||
Pierre-Olivier Joseph (C) | 73 | D | 100.00 | 69 | 38 | 84 | 71 | 77 | 86 | 87 | 70 | 30 | 71 | 60 | 62 | 51 | 63 | 65 | 0 | 50 | 72 | 23 | 908,628$/3yrs | |||
Greg Pateryn | 29 | D | 100.00 | 75 | 45 | 79 | 59 | 85 | 80 | 73 | 61 | 30 | 67 | 58 | 74 | 50 | 73 | 77 | 0 | 50 | 71 | 32 | 750,000$/1yrs | |||
Joel Hanley | 54 | D | 100.00 | 69 | 36 | 84 | 68 | 71 | 80 | 75 | 66 | 30 | 70 | 55 | 64 | 53 | 71 | 72 | 0 | 50 | 69 | 31 | 950,000$/2yrs | |||
Nick Seeler | 4 | D | 100.00 | 76 | 45 | 78 | 60 | 81 | 82 | 74 | 53 | 30 | 61 | 54 | 68 | 47 | 69 | 71 | 0 | 50 | 68 | 29 | 942,667$/3yrs | |||
Isaak Phillips | 41 | D | 100.00 | 67 | 38 | 76 | 57 | 82 | 77 | 85 | 59 | 30 | 57 | 56 | 60 | 48 | 61 | 63 | 0 | 50 | 66 | 21 | 925,000$/3yrs | |||
Ole Bjorgvik-Holm | 94 | D | 100.00 | 69 | 34 | 83 | 57 | 78 | 72 | 77 | 59 | 30 | 58 | 53 | 56 | 46 | 59 | 61 | 0 | 50 | 64 | 20 | 901,875$/4yrs | |||
Scratches | ||||||||||||||||||||||||||
Tyler Angle | 59 | LW | 100.00 | 58 | 36 | 89 | 64 | 67 | 88 | 89 | 62 | 59 | 63 | 58 | 57 | 64 | 62 | 65 | 0 | 50 | 66 | 22 | 925,000$/3yrs | |||
Ivan Chekhovich | 82 | LW/RW | 100.00 | 50 | 35 | 95 | 63 | 67 | 80 | 74 | 64 | 56 | 62 | 59 | 60 | 64 | 63 | 62 | 0 | 50 | 65 | 24 | 903,333$/1yrs | |||
Nathan Legare (R) | 34 | RW | 100.00 | 66 | 39 | 83 | 55 | 75 | 83 | 85 | 53 | 58 | 55 | 56 | 57 | 55 | 61 | 63 | 0 | 50 | 64 | 22 | 905,000$/3yrs | |||
Brian Lashoff | 32 | D | 100.00 | 77 | 42 | 83 | 57 | 86 | 65 | 88 | 56 | 30 | 55 | 54 | 58 | 46 | 72 | 77 | 0 | 50 | 66 | 32 | 977,000$/1yrs | |||
Brady Keeper | 25 | D | 100.00 | 58 | 35 | 95 | 58 | 80 | 77 | 73 | 60 | 30 | 59 | 56 | 62 | 50 | 69 | 65 | 0 | 50 | 65 | 26 | 858,250$/2yrs | |||
Nikolas Brouillard | 65 | D | 100.00 | 57 | 43 | 63 | 61 | 64 | 74 | 86 | 59 | 30 | 62 | 57 | 56 | 50 | 67 | 69 | 0 | 50 | 65 | 28 | 750,000$/1yrs | |||
Yanni Kaldis | 77 | D | 100.00 | 61 | 38 | 86 | 59 | 70 | 74 | 81 | 58 | 30 | 62 | 54 | 57 | 45 | 67 | 69 | 0 | 50 | 64 | 27 | 750,000$/1yrs | |||
Andreas Borgman | 2 | D | 100.00 | 66 | 39 | 78 | 57 | 75 | 80 | 64 | 58 | 30 | 57 | 59 | 58 | 51 | 67 | 69 | 0 | 50 | 64 | 27 | 750,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Erik Kallgren | 50 | 100.00 | 74 | 85 | 83 | 82 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 66 | 75 | 0 | 50 | 76 | 26 | 750,000$/2yrs |
Vasily Demchenko | 35 | 100.00 | 72 | 78 | 76 | 79 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 73 | 77 | 0 | 50 | 75 | 29 | 750,000$/1yrs |
Scratches | ||||||||||||||||||||
Lukas Parik | 33 | 100.00 | 65 | 66 | 68 | 89 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 61 | 65 | 0 | 50 | 68 | 22 | 750,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Stéphane Richer | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 56 | 5 | 0$ |
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 | Pierre-Olivier Joseph | Monsters (CLB) | D | 82 | 24 | 69 | 93 | 8 | 46 | 0 | 91 | 210 | 60 | 123 | 11.43% | 120 | 24.53 | 14 | 16 | 30 | 0 | 3 | 3 | 255 | 4 | 3 | 0.00% | 2 | 0 | 1.13 | 1 | 2 | 1.01 | |||
2 | Cedric Paquette | Monsters (CLB) | C | 80 | 33 | 41 | 74 | -6 | 115 | 15 | 261 | 292 | 74 | 214 | 11.30% | 32 | 22.10 | 8 | 12 | 20 | 2 | 0 | 2 | 179 | 3 | 1 | 52.75% | 1 | 2 | 0.93 | 1 | 3 | 0.76 | |||
3 | Rafael Harvey-Pinard | Monsters (CLB) | LW/RW | 81 | 26 | 47 | 73 | 1 | 62 | 0 | 171 | 311 | 85 | 248 | 8.36% | 17 | 20.45 | 6 | 14 | 20 | 0 | 0 | 0 | 96 | 1 | 1 | 41.34% | 0 | 1 | 0.90 | 0 | 5 | 0.89 | |||
4 | Marian Studenic | Monsters (CLB) | LW/RW | 82 | 17 | 48 | 65 | -4 | 14 | 0 | 82 | 273 | 75 | 195 | 6.23% | 23 | 17.10 | 2 | 12 | 14 | 0 | 1 | 1 | 180 | 1 | 2 | 48.51% | 0 | 0 | 0.79 | 0 | 2 | 0.82 | |||
5 | Joel Hanley | Monsters (CLB) | D | 75 | 11 | 43 | 54 | -12 | 56 | 0 | 126 | 135 | 39 | 86 | 8.15% | 109 | 21.77 | 4 | 10 | 14 | 0 | 0 | 0 | 194 | 1 | 1 | 0.00% | 0 | 0 | 0.72 | 0 | 0 | 0.54 | |||
6 | Alex Limoges | Monsters (CLB) | LW | 82 | 27 | 24 | 51 | 7 | 21 | 5 | 43 | 270 | 67 | 175 | 10.00% | 25 | 20.80 | 6 | 7 | 13 | 1 | 1 | 2 | 184 | 7 | 1 | 52.83% | 0 | 2 | 0.62 | 1 | 3 | 0.73 | |||
7 | Nick Seeler | Monsters (CLB) | D | 82 | 12 | 34 | 46 | 3 | 65 | 5 | 149 | 105 | 28 | 89 | 11.43% | 114 | 19.34 | 3 | 7 | 10 | 0 | 0 | 0 | 211 | 1 | 0 | 0.00% | 0 | 0 | 0.56 | 0 | 0 | 0.48 | |||
8 | Garrett Pilon | Monsters (CLB) | C | 77 | 12 | 25 | 37 | -10 | 14 | 0 | 49 | 166 | 55 | 112 | 7.23% | 11 | 15.00 | 0 | 1 | 1 | 0 | 1 | 1 | 167 | 4 | 1 | 54.11% | 1 | 0 | 0.48 | 0 | 1 | 0.45 | |||
9 | Otto Somppi | Monsters (CLB) | C | 81 | 14 | 22 | 36 | 3 | 10 | 0 | 45 | 151 | 45 | 118 | 9.27% | 11 | 13.07 | 1 | 2 | 3 | 0 | 0 | 0 | 10 | 0 | 0 | 51.10% | 1 | 0 | 0.44 | 0 | 0 | 0.48 | |||
10 | Greg Pateryn | Monsters (CLB) | D | 64 | 11 | 25 | 36 | -3 | 45 | 5 | 136 | 84 | 33 | 62 | 13.10% | 73 | 17.56 | 2 | 1 | 3 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 0 | 0.56 | 0 | 0 | 0.45 | |||
11 | Steven Lorentz | Monsters (CLB) | C/LW/RW | 55 | 14 | 20 | 34 | 16 | 16 | 0 | 32 | 132 | 34 | 85 | 10.61% | 8 | 17.27 | 0 | 6 | 6 | 0 | 0 | 0 | 23 | 6 | 0 | 50.00% | 0 | 0 | 0.62 | 1 | 2 | 0.71 | |||
12 | Adam Mascherin | Monsters (CLB) | LW | 63 | 20 | 10 | 30 | -5 | 14 | 0 | 50 | 143 | 26 | 103 | 13.99% | 8 | 13.27 | 2 | 0 | 2 | 0 | 0 | 0 | 7 | 2 | 1 | 46.67% | 0 | 0 | 0.48 | 1 | 1 | 0.50 | |||
13 | Bokondji Imama | Monsters (CLB) | LW | 82 | 10 | 15 | 25 | 0 | 45 | 5 | 128 | 123 | 37 | 73 | 8.13% | 11 | 10.10 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 40.38% | 0 | 0 | 0.30 | 0 | 0 | 0.29 | |||
14 | Brian Lashoff | Monsters (CLB) | D | 70 | 5 | 17 | 22 | 4 | 82 | 0 | 156 | 54 | 10 | 44 | 9.26% | 56 | 20.03 | 3 | 4 | 7 | 0 | 0 | 0 | 48 | 0 | 2 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | 0.19 | |||
15 | Brady Keeper | Monsters (CLB) | D | 37 | 4 | 12 | 16 | -2 | 6 | 0 | 20 | 31 | 9 | 18 | 12.90% | 42 | 19.06 | 0 | 1 | 1 | 0 | 1 | 1 | 48 | 1 | 1 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.37 | |||
16 | Mark Kastelic | Monsters (CLB) | C | 82 | 6 | 9 | 15 | -3 | 30 | 0 | 76 | 62 | 11 | 38 | 9.68% | 3 | 6.86 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 52.27% | 0 | 0 | 0.18 | 0 | 0 | 0.13 | |||
17 | Isaak Phillips | Monsters (CLB) | D | 76 | 2 | 11 | 13 | -6 | 26 | 0 | 91 | 43 | 12 | 44 | 4.65% | 89 | 17.30 | 0 | 0 | 0 | 1 | 1 | 2 | 200 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.16 | |||
18 | Dominic Turgeon | Monsters (CLB) | C | 40 | 4 | 5 | 9 | 3 | 2 | 0 | 10 | 35 | 10 | 31 | 11.43% | 3 | 8.29 | 0 | 0 | 0 | 0 | 0 | 0 | 79 | 0 | 0 | 41.40% | 0 | 0 | 0.23 | 0 | 0 | 0.24 | |||
19 | Nathan Legare | Monsters (CLB) | RW | 28 | 3 | 6 | 9 | 0 | 6 | 0 | 23 | 27 | 11 | 22 | 11.11% | 3 | 16.45 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 53.33% | 0 | 0 | 0.32 | 0 | 2 | 0.29 | |||
20 | Ivan Chekhovich | Monsters (CLB) | LW/RW | 23 | 2 | 4 | 6 | -5 | 0 | 0 | 1 | 38 | 14 | 26 | 5.26% | 2 | 10.69 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 40.91% | 0 | 0 | 0.26 | 0 | 0 | 0.25 | |||
21 | Jack Dugan | Monsters (CLB) | LW | 33 | 1 | 1 | 2 | -1 | 0 | 0 | 7 | 20 | 4 | 10 | 5.00% | 0 | 3.49 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 26.67% | 0 | 0 | 0.06 | 0 | 0 | 0.09 | |||
22 | Ole Bjorgvik-Holm | Monsters (CLB) | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 1 | 0 | 1 | 0.00% | 2 | 14.93 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.06 | |||
23 | Tyler Angle | Monsters (CLB) | LW | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 1 | 0.00 | |||
24 | Andreas Borgman | Monsters (CLB) | D | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 1394 | 258 | 488 | 746 | -13 | 675 | 35 | 1749 | 2706 | 739 | 1917 | 9.53% | 762 | 16.42 | 53 | 97 | 150 | 2288 | 4 | 8 | 12 | 1946 | 33 | 14 | 51.46% | 6800 | 0 | 0 | 5 | 5 | 0.65 | 5 | 22 |
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) | 50 | 22 | 20 | 3 | 0.900 | 3.69 | 2762 | 2 | 1 | 170 | 1699 | 0 | 3 | 1 | 0.818 | 11 | 44 | 38 | 1 | 2 | 1 |
2 | Vasily Demchenko | Monsters (CLB) | 2 | 0 | 0 | 1 | 0.913 | 2.64 | 91 | 0 | 0 | 4 | 46 | 0 | 0 | 0 | 0.625 | 8 | 1 | 24 | 0 | 0 | 0 |
Team Total or Average | 52 | 22 | 20 | 4 | 0.900 | 3.66 | 2853 | 2 | 1 | 174 | 1745 | 0 | 3 | 1 | 0.737 | 19 | 45 | 62 | 1 | 2 | 1 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Mascherin | LW | 24 | 750,000$ | 750,000$ | RFA | ||||||
Alex Limoges | LW | 25 | 1,140,000$ | 1,500,000$ | 780,000$ | UFA | |||||
Andreas Borgman | D | 27 | 750,000$ | 700,000$ | UFA | ||||||
Bokondji Imama | LW | 26 | 980,500$ | 1,211,000$ | 750,000$ | UFA | |||||
Brady Keeper | D | 26 | 858,250$ | 954,000$ | 762,500$ | UFA | |||||
Brian Lashoff | D | 32 | 977,000$ | 977,000$ | UFA | ||||||
Cedric Paquette | C | 29 | 4,332,000$ | 4,332,000$ | UFA | ||||||
Dominic Turgeon | C | 27 | 999,000$ | 999,000$ | UFA | ||||||
Erik Kallgren | G | 26 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Garrett Pilon | C | 25 | 869,500$ | 989,000$ | 750,000$ | UFA | |||||
Greg Pateryn | D | 32 | 750,000$ | 750,000$ | UFA | ||||||
Isaak Phillips | D | 21 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Ivan Chekhovich | LW/RW | 24 | 903,333$ | 903,333$ | RFA | ||||||
Jack Dugan | LW | 25 | 1,156,250$ | 1,562,500$ | 750,000$ | UFA | |||||
Joel Hanley | D | 31 | 950,000$ | 1,150,000$ | 750,000$ | UFA | |||||
Lukas Parik | G | 22 | 750,000$ | 750,000$ | RFA | ||||||
Marian Studenic | LW/RW | 24 | 953,125$ | 1,156,250$ | 750,000$ | RFA | |||||
Mark Kastelic | C | 24 | 821,667$ | 821,667$ | 821,667$ | RFA | |||||
Nathan Legare | RW | 22 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | RFA | ||||
Nick Seeler | D | 29 | 942,667$ | 1,278,000$ | 775,000$ | 775,000$ | UFA | ||||
Nikolas Brouillard | D | 28 | 750,000$ | 750,000$ | UFA | ||||||
Ole Bjorgvik-Holm | D | 20 | 901,875$ | 917,500$ | 896,667$ | 896,667$ | 896,667$ | RFA | |||
Otto Somppi | C | 25 | 1,049,000$ | 1,049,000$ | RFA | ||||||
Pierre-Olivier Joseph | D | 23 | 908,628$ | 1,075,883$ | 825,000$ | 825,000$ | RFA | ||||
Rafael Harvey-Pinard | LW/RW | 24 | 825,000$ | 825,000$ | 825,000$ | RFA | |||||
Steven Lorentz | C/LW/RW | 27 | 1,099,667$ | 1,199,000$ | 1,050,000$ | 1,050,000$ | UFA | ||||
Tyler Angle | LW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Vasily Demchenko | G | 29 | 750,000$ | 750,000$ | UFA | ||||||
Yanni Kaldis | D | 27 | 750,000$ | 750,000$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Checkers | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 0.667 | 13 | 22 | 35 | 0 | 0 | 110 | 85 | 86 | 7 | 125 | 896 | 979 | 1000 | 50 | 105 | 21 | 19 | 71 | 13 | 2 | 15.38% | 7 | 4 | 42.86% | 1 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 61.1% | 10.4% | 89.5% | 99.9 | FUN |
2 | Marlies | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 8 | 15 | -7 | 2 | 0.333 | 8 | 13 | 21 | 0 | 0 | 110 | 85 | 86 | 7 | 101 | 896 | 979 | 1000 | 50 | 98 | 27 | 35 | 71 | 10 | 1 | 10.00% | 14 | 4 | 71.43% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 38.9% | 7.9% | 84.7% | 92.6 | Unlucky |
3 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 110 | 85 | 86 | 7 | 63 | 896 | 979 | 1000 | 50 | 69 | 22 | 26 | 36 | 9 | 2 | 22.22% | 13 | 4 | 69.23% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 44.4% | 9.5% | 87.0% | 96.5 | FUN |
4 | Binghamton Senateurs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 110 | 85 | 86 | 7 | 57 | 896 | 979 | 1000 | 50 | 85 | 23 | 22 | 49 | 8 | 1 | 12.50% | 11 | 4 | 63.64% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 50.0% | 10.5% | 89.4% | 99.9 | FUN |
5 | Bears | 6 | 2 | 2 | 0 | 0 | 1 | 1 | 0 | 20 | 22 | -2 | 7 | 0.583 | 20 | 35 | 55 | 0 | 0 | 110 | 85 | 86 | 7 | 258 | 896 | 979 | 1000 | 50 | 217 | 51 | 28 | 126 | 29 | 2 | 6.90% | 14 | 5 | 64.29% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 51.4% | 7.8% | 89.9% | 97.6 | Unlucky |
6 | Rockets | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.333 | 9 | 15 | 24 | 0 | 0 | 110 | 85 | 86 | 7 | 101 | 896 | 979 | 1000 | 50 | 100 | 23 | 8 | 76 | 17 | 3 | 17.65% | 4 | 3 | 25.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 42.9% | 8.9% | 89.0% | 97.9 | Unlucky |
7 | Providence Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 110 | 85 | 86 | 7 | 71 | 896 | 979 | 1000 | 50 | 69 | 18 | 22 | 55 | 4 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 40.0% | 5.6% | 85.5% | 91.1 | Unlucky |
8 | Wolves | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 20 | 3 | 8 | 0.667 | 23 | 40 | 63 | 0 | 0 | 110 | 85 | 86 | 7 | 198 | 896 | 979 | 1000 | 50 | 219 | 59 | 40 | 133 | 23 | 6 | 26.09% | 18 | 2 | 88.89% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 48.6% | 11.6% | 90.9% | 102.5 | FUN |
9 | Eagles | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 110 | 85 | 86 | 7 | 36 | 896 | 979 | 1000 | 50 | 28 | 7 | 10 | 22 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 57.1% | 11.1% | 89.3% | 100.4 | FUN |
10 | Phantoms | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 25 | 24 | 1 | 6 | 0.500 | 25 | 45 | 70 | 1 | 0 | 110 | 85 | 86 | 7 | 213 | 896 | 979 | 1000 | 50 | 212 | 58 | 50 | 143 | 24 | 7 | 29.17% | 25 | 5 | 80.00% | 2 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 48.6% | 11.7% | 88.7% | 100.4 | FUN |
11 | Wolf Pack | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 25 | -6 | 4 | 0.333 | 19 | 37 | 56 | 1 | 0 | 110 | 85 | 86 | 7 | 190 | 896 | 979 | 1000 | 50 | 237 | 73 | 44 | 132 | 14 | 3 | 21.43% | 19 | 5 | 73.68% | 1 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 44.4% | 10.0% | 89.5% | 99.5 | FUN |
12 | islanders | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 25 | -4 | 6 | 0.429 | 21 | 38 | 59 | 0 | 0 | 110 | 85 | 86 | 7 | 225 | 896 | 979 | 1000 | 50 | 261 | 77 | 47 | 165 | 18 | 2 | 11.11% | 19 | 3 | 84.21% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 46.3% | 9.3% | 90.4% | 99.8 | FUN |
13 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 110 | 85 | 86 | 7 | 35 | 896 | 979 | 1000 | 50 | 35 | 7 | 14 | 34 | 2 | 0 | 0.00% | 7 | 4 | 42.86% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 66.7% | 5.7% | 85.7% | 91.4 | Unlucky |
14 | Griffins | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 9 | 1 | 5 | 0.833 | 10 | 15 | 25 | 0 | 0 | 110 | 85 | 86 | 7 | 86 | 896 | 979 | 1000 | 50 | 138 | 41 | 36 | 77 | 5 | 1 | 20.00% | 17 | 3 | 82.35% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 60.0% | 11.6% | 93.5% | 105.1 | LUCKY |
15 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 110 | 85 | 86 | 7 | 40 | 896 | 979 | 1000 | 50 | 28 | 12 | 2 | 20 | 2 | 2 | 100.00% | 0 | 0 | 0.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 57.1% | 15.0% | 89.3% | 104.3 | FUN |
16 | Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 2 | 1.000 | 7 | 12 | 19 | 0 | 1 | 110 | 85 | 86 | 7 | 53 | 896 | 979 | 1000 | 50 | 26 | 4 | 2 | 29 | 5 | 2 | 40.00% | 1 | 0 | 100.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 100.0% | 13.2% | 100.0% | 113.2 | LUCKY |
17 | Iowa Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 110 | 85 | 86 | 7 | 31 | 896 | 979 | 1000 | 50 | 26 | 5 | 2 | 25 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 40.0% | 12.9% | 76.9% | 89.8 | FUN |
18 | Reign | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 110 | 85 | 86 | 7 | 44 | 896 | 979 | 1000 | 50 | 33 | 14 | 12 | 18 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 50.0% | 9.1% | 93.9% | 103.0 | LUCKY |
19 | Thunderbirds | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 8 | 0 | 3 | 0.750 | 8 | 15 | 23 | 0 | 0 | 110 | 85 | 86 | 7 | 71 | 896 | 979 | 1000 | 50 | 85 | 25 | 27 | 43 | 4 | 2 | 50.00% | 9 | 1 | 88.89% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 46.2% | 11.3% | 90.6% | 101.9 | FUN |
20 | Wranglers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 110 | 85 | 86 | 7 | 45 | 896 | 979 | 1000 | 50 | 27 | 7 | 8 | 17 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 66.7% | 11.1% | 88.9% | 100.0 | FUN |
21 | Gulls | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 110 | 85 | 86 | 7 | 34 | 896 | 979 | 1000 | 50 | 35 | 6 | 8 | 22 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 60.0% | 8.8% | 88.6% | 97.4 | Unlucky |
22 | Texas Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 110 | 85 | 86 | 7 | 37 | 896 | 979 | 1000 | 50 | 26 | 14 | 6 | 22 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 66.7% | 13.5% | 92.3% | 105.8 | LUCKY |
23 | Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 110 | 85 | 86 | 7 | 34 | 896 | 979 | 1000 | 50 | 43 | 5 | 8 | 19 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 16.7% | 2.9% | 88.4% | 91.3 | Unlucky |
24 | Comets | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 23 | -9 | 4 | 0.333 | 14 | 23 | 37 | 0 | 0 | 110 | 85 | 86 | 7 | 206 | 896 | 979 | 1000 | 50 | 235 | 50 | 62 | 134 | 22 | 4 | 18.18% | 31 | 7 | 77.42% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 38.5% | 6.8% | 90.2% | 97.0 | Unlucky |
25 | W-B/Scranton Penguins | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 24 | 21 | 3 | 8 | 0.667 | 24 | 45 | 69 | 0 | 0 | 110 | 85 | 86 | 7 | 230 | 896 | 979 | 1000 | 50 | 203 | 49 | 56 | 140 | 24 | 3 | 12.50% | 27 | 8 | 70.37% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 61.8% | 10.4% | 89.7% | 100.1 | FUN |
26 | Roadrunners | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 10 | 11 | -1 | 3 | 0.500 | 10 | 20 | 30 | 0 | 0 | 110 | 85 | 86 | 7 | 102 | 896 | 979 | 1000 | 50 | 105 | 27 | 57 | 66 | 11 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 50.0% | 9.8% | 89.5% | 99.3 | FUN |
27 | Crunch | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 110 | 85 | 86 | 7 | 60 | 896 | 979 | 1000 | 50 | 73 | 22 | 18 | 39 | 5 | 4 | 80.00% | 9 | 1 | 88.89% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 53.8% | 18.3% | 90.4% | 108.7 | FUN |
28 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 110 | 85 | 86 | 7 | 33 | 896 | 979 | 1000 | 50 | 48 | 12 | 10 | 19 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 0.0% | 0.0% | 87.5% | 87.5 | Unlucky |
29 | Moose | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 110 | 85 | 86 | 7 | 46 | 896 | 979 | 1000 | 50 | 36 | 6 | 10 | 22 | 7 | 3 | 42.86% | 4 | 1 | 75.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 50.0% | 15.2% | 86.1% | 101.3 | FUN |
30 | Silver Knights | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 110 | 85 | 86 | 7 | 37 | 896 | 979 | 1000 | 50 | 36 | 9 | 10 | 26 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 60.0% | 10.8% | 91.7% | 102.5 | LUCKY |
31 | Firebirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 110 | 85 | 86 | 7 | 41 | 896 | 979 | 1000 | 50 | 33 | 5 | 4 | 19 | 4 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 40.0% | 4.9% | 87.9% | 92.8 | Unlucky |
_Vs Division | 43 | 20 | 21 | 0 | 0 | 1 | 1 | 0 | 146 | 160 | -14 | 43 | 0.500 | 146 | 263 | 409 | 2 | 0 | 110 | 85 | 86 | 7 | 1520 | 896 | 979 | 1000 | 50 | 1584 | 417 | 327 | 973 | 154 | 27 | 17.53% | 153 | 35 | 77.12% | 3 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 48.8% | 9.6% | 89.9% | 99.5 | FUN | |
_Vs Conference | 63 | 28 | 30 | 0 | 0 | 3 | 1 | 1 | 213 | 241 | -28 | 62 | 0.492 | 213 | 378 | 591 | 2 | 0 | 110 | 85 | 86 | 7 | 2184 | 896 | 979 | 1000 | 50 | 2321 | 614 | 513 | 1447 | 225 | 41 | 18.22% | 236 | 62 | 73.73% | 4 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 49.0% | 9.8% | 89.6% | 99.4 | FUN | |
_Since Last GM Reset | 82 | 35 | 37 | 0 | 2 | 3 | 2 | 3 | 285 | 311 | -26 | 84 | 0.512 | 285 | 508 | 793 | 3 | 1 | 110 | 85 | 86 | 7 | 2903 | 896 | 979 | 1000 | 50 | 2971 | 779 | 703 | 1870 | 288 | 55 | 19.10% | 302 | 75 | 75.17% | 4 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 49.4% | 9.8% | 89.5% | 99.3 | FUN | |
Total | 82 | 35 | 37 | 0 | 2 | 3 | 2 | 3 | 285 | 311 | -26 | 84 | 0.512 | 285 | 508 | 793 | 3 | 1 | 110 | 85 | 86 | 7 | 2903 | 896 | 979 | 1000 | 50 | 2971 | 779 | 703 | 1870 | 288 | 55 | 19.10% | 302 | 75 | 75.17% | 4 | 1594 | 3086 | 51.65% | 1546 | 3054 | 50.62% | 715 | 1379 | 51.85% | 1958 | 1339 | 1922 | 611 | 1072 | 534 | 49.4% | 9.8% | 89.5% | 99.3 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3086 |
Neutral Zone Start | 1379 |
Defensive Zone Start | 3054 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3855 |
Faceoffs Lost | 3664 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.9 | 9.57 |
2nd Period | 22.9 | 20.31 |
3rd Period | 35.1 | 30.68 |
Overtime | 35.7 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.4 | 1.65 |
3rd Period | 3.4 | 2.67 |
Overtime | 3.5 | 2.83 |
Even Strenght Goal | 223 |
---|---|
PP Goal | 55 |
PK Goal | 4 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 22 | 17 |
Lost | 16 | 21 |
Overtime Lost | 3 | 3 |
PP Attempt | 288 |
---|---|
PP Goal | 55 |
PK Attempt | 302 |
PK Goal Against | 75 |
Home | |
---|---|
Shots For | 35.4 |
Shots Against | 36.2 |
Goals For | 3.5 |
Goals Against | 3.8 |
Hits | 22.8 |
Shots Blocked | 9.5 |
Pim | 8.6 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,160,513$ | 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 | 78719 | 38884 | |||
Attendance PCT | 96.00% | 94.84% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2868 - 95.61% | 99,850$ | 4,093,862$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,160,513$ | 2,942,247$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
524,898$ | 0$ | 519,336$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 16,992$ | 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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