![]() | Toronto Marlies 60-15-7, 127pts · 1st 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Hendrix Lapierre | 0 | C/RW | 100.00 | 63 | 40 | 82 | 76 | 76 | 78 | 72 | 68 | 60 | 69 | 62 | 66 | 69 | 62 | 53 | 1 | 50 | 67 | 23 | 975,000$/1yrs | |||
Blake Wheeler (C) | 0 | RW | 100.00 | 59 | 43 | 70 | 61 | 74 | 73 | 79 | 67 | 53 | 64 | 61 | 60 | 63 | 91 | 78 | 1 | 50 | 65 | 38 | 1,000,000$/1yrs | |||
Patrick Brown | 0 | C/LW/RW | 100.00 | 63 | 43 | 72 | 66 | 67 | 72 | 72 | 65 | 65 | 64 | 59 | 65 | 63 | 83 | 63 | 1 | 50 | 64 | 33 | 1,000,000$/1yrs | |||
Nikita Alexandrov | 0 | C/LW/RW | 100.00 | 64 | 41 | 75 | 70 | 68 | 70 | 65 | 66 | 60 | 63 | 61 | 62 | 65 | 57 | 50 | 1 | 50 | 63 | 24 | 1,000,000$/4yrs | |||
Jake Lucchini | 0 | C | 100.00 | 55 | 43 | 70 | 68 | 63 | 74 | 70 | 65 | 61 | 63 | 61 | 58 | 65 | 62 | 53 | 1 | 50 | 62 | 30 | 1,000,000$/3yrs | |||
Georgii Merkulov | 0 | C | 100.00 | 57 | 41 | 73 | 69 | 61 | 65 | 64 | 66 | 46 | 66 | 61 | 60 | 65 | 52 | 50 | 1 | 50 | 62 | 24 | 975,000$/1yrs | |||
Ryan Greene (R) | 0 | C | 100.00 | 56 | 40 | 69 | 69 | 71 | 75 | 59 | 62 | 46 | 59 | 59 | 61 | 64 | 51 | 50 | 1 | 50 | 61 | 21 | 950,000$/2yrs | |||
Brett Seney | 0 | LW | 100.00 | 52 | 46 | 63 | 68 | 52 | 70 | 69 | 64 | 47 | 65 | 58 | 55 | 63 | 59 | 54 | 1 | 50 | 60 | 29 | 975,000$/1yrs | |||
Dominic Toninato | 0 | C/RW | 100.00 | 54 | 48 | 62 | 62 | 62 | 70 | 69 | 63 | 61 | 60 | 58 | 52 | 61 | 65 | 59 | 1 | 50 | 60 | 31 | 1,275,000$/3yrs | |||
Jujhar Khaira (A) | 0 | C | 100.00 | 64 | 45 | 67 | 60 | 71 | 69 | 67 | 60 | 60 | 58 | 54 | 59 | 58 | 80 | 55 | 1 | 50 | 60 | 30 | 1,250,000$/2yrs | |||
Jani Nyman (R) | 0 | RW | 100.00 | 64 | 42 | 65 | 62 | 67 | 58 | 57 | 62 | 42 | 59 | 62 | 59 | 62 | 50 | 50 | 1 | 50 | 59 | 20 | 975,000$/3yrs | |||
Sam Honzek (R) | 0 | LW | 100.00 | 62 | 41 | 67 | 62 | 62 | 58 | 56 | 60 | 42 | 58 | 55 | 59 | 59 | 50 | 50 | 1 | 50 | 57 | 20 | 975,000$/3yrs | |||
Vincent Iorio (R) | 0 | D | 100.00 | 66 | 42 | 70 | 66 | 68 | 63 | 61 | 63 | 40 | 59 | 55 | 68 | 61 | 50 | 50 | 1 | 50 | 62 | 22 | 975,000$/3yrs | |||
William Wallinder | 0 | D | 100.00 | 63 | 41 | 73 | 65 | 66 | 63 | 62 | 62 | 40 | 60 | 54 | 63 | 60 | 50 | 50 | 1 | 50 | 61 | 22 | 975,000$/2yrs | |||
Dillon Heatherington | 0 | D | 100.00 | 64 | 44 | 67 | 60 | 71 | 71 | 70 | 60 | 40 | 53 | 53 | 64 | 58 | 63 | 57 | 1 | 50 | 61 | 30 | 1,000,000$/2yrs | |||
Ronnie Attard (A) | 0 | D | 100.00 | 62 | 49 | 61 | 65 | 68 | 67 | 65 | 63 | 40 | 58 | 58 | 63 | 62 | 54 | 50 | 1 | 50 | 61 | 26 | 1,000,000$/4yrs | |||
Tommy Miller | 0 | D | 100.00 | 60 | 41 | 72 | 66 | 63 | 65 | 62 | 57 | 40 | 51 | 51 | 64 | 58 | 54 | 50 | 1 | 50 | 59 | 26 | 975,000$/1yrs | |||
Alec Regula | 0 | D | 100.00 | 61 | 42 | 57 | 57 | 63 | 57 | 55 | 55 | 40 | 54 | 52 | 61 | 55 | 51 | 50 | 1 | 50 | 57 | 24 | 1,400,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Mason Jobst | 0 | C | 100.00 | 53 | 44 | 66 | 65 | 57 | 73 | 72 | 64 | 62 | 62 | 60 | 55 | 63 | 65 | 58 | 1 | 50 | 61 | 31 | 3,000,000$/1yrs | |||
Ville Koivunen | 0 | RW | 100.00 | 57 | 43 | 62 | 67 | 58 | 62 | 61 | 62 | 43 | 62 | 60 | 59 | 63 | 50 | 50 | 1 | 50 | 60 | 22 | 975,000$/2yrs | |||
Martin Frk | 0 | RW | 100.00 | 52 | 44 | 57 | 59 | 58 | 65 | 65 | 60 | 43 | 60 | 59 | 53 | 60 | 60 | 53 | 1 | 50 | 58 | 31 | 975,000$/1yrs | |||
Zac Dalpe | 0 | C | 100.00 | 55 | 42 | 65 | 61 | 62 | 68 | 67 | 58 | 55 | 54 | 54 | 56 | 58 | 73 | 69 | 1 | 50 | 58 | 35 | 1,000,000$/1yrs | |||
Carl Berglund | 0 | C | 100.00 | 62 | 40 | 71 | 62 | 64 | 64 | 62 | 57 | 54 | 54 | 52 | 58 | 57 | 52 | 50 | 1 | 50 | 57 | 25 | 1,000,000$/1yrs | |||
Carsen Twarynski | 0 | LW | 100.00 | 61 | 43 | 69 | 61 | 64 | 66 | 63 | 59 | 42 | 53 | 53 | 56 | 58 | 55 | 50 | 1 | 50 | 57 | 27 | 975,000$/1yrs | |||
Matyas Sapovaliv (R) | 0 | C | 100.00 | 59 | 41 | 68 | 60 | 63 | 62 | 61 | 60 | 41 | 55 | 57 | 54 | 58 | 50 | 50 | 1 | 50 | 57 | 21 | 803,333$/2yrs | |||
Ty Glover | 0 | C | 100.00 | 64 | 42 | 71 | 62 | 67 | 63 | 60 | 57 | 46 | 52 | 52 | 58 | 57 | 52 | 50 | 1 | 50 | 57 | 24 | 975,000$/1yrs | |||
C.J. Smith | 0 | C/LW/RW | 100.00 | 54 | 41 | 65 | 60 | 56 | 62 | 60 | 57 | 42 | 56 | 52 | 57 | 56 | 60 | 53 | 1 | 50 | 56 | 30 | 975,000$/1yrs | |||
Chad Hillebrand | 0 | C/LW/RW | 100.00 | 59 | 42 | 63 | 58 | 62 | 62 | 61 | 56 | 40 | 54 | 54 | 56 | 56 | 52 | 50 | 1 | 50 | 56 | 26 | 1,000,000$/1yrs | |||
Miko Matikka (R) | 0 | RW | 100.00 | 60 | 40 | 67 | 59 | 62 | 59 | 57 | 55 | 40 | 54 | 53 | 54 | 56 | 50 | 50 | 1 | 50 | 55 | 21 | 870,000$/2yrs | |||
Jaydon Dureau | 0 | LW | 100.00 | 55 | 40 | 64 | 60 | 56 | 57 | 55 | 53 | 40 | 51 | 51 | 53 | 54 | 51 | 50 | 1 | 50 | 53 | 24 | 975,000$/2yrs | |||
Scooter Brickey | 0 | D | 100.00 | 65 | 41 | 68 | 61 | 70 | 64 | 61 | 56 | 40 | 52 | 51 | 66 | 56 | 53 | 50 | 1 | 50 | 60 | 26 | 1,000,000$/1yrs | |||
Anton Malmström | 0 | D | 100.00 | 63 | 40 | 70 | 61 | 67 | 62 | 59 | 55 | 40 | 52 | 52 | 62 | 56 | 52 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/1yrs | |||
Garrett Pyke | 0 | D | 100.00 | 59 | 40 | 67 | 62 | 62 | 62 | 60 | 57 | 40 | 54 | 53 | 60 | 57 | 52 | 50 | 1 | 50 | 58 | 25 | 1,000,000$/1yrs | |||
Tyson Feist | 0 | D | 100.00 | 64 | 41 | 62 | 62 | 68 | 61 | 58 | 53 | 40 | 51 | 51 | 63 | 55 | 52 | 50 | 1 | 50 | 58 | 24 | 975,000$/1yrs | |||
Darren Brady | 0 | D | 100.00 | 55 | 40 | 64 | 59 | 58 | 60 | 58 | 53 | 40 | 51 | 50 | 60 | 54 | 56 | 50 | 1 | 50 | 56 | 29 | 1,000,000$/1yrs | |||
Joakim Ryan | 0 | D | 100.00 | 51 | 41 | 67 | 57 | 56 | 65 | 65 | 56 | 40 | 51 | 52 | 52 | 55 | 60 | 53 | 1 | 50 | 55 | 32 | 1,000,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joel Blomqvist | 0 | 100.00 | 73 | 67 | 68 | 76 | 71 | 71 | 70 | 70 | 73 | 71 | 68 | 52 | 50 | 1 | 50 | 65 | 23 | 1,400,000$/4yrs |
Nikke Kokko | 0 | 100.00 | 68 | 61 | 63 | 64 | 66 | 68 | 70 | 68 | 69 | 66 | 56 | 50 | 50 | 1 | 50 | 61 | 21 | 975,000$/3yrs |
| Scratches | ||||||||||||||||||||
Magnus Chrona | 0 | 100.00 | 69 | 63 | 65 | 69 | 68 | 67 | 69 | 66 | 67 | 67 | 55 | 52 | 50 | 1 | 50 | 61 | 24 | 975,000$/2yrs |
Domenic DiVincentiis | 0 | 100.00 | 67 | 61 | 62 | 65 | 65 | 66 | 68 | 66 | 66 | 64 | 56 | 50 | 50 | 1 | 50 | 60 | 21 | 975,000$/2yrs |
Jiri Patera | 0 | 100.00 | 66 | 60 | 59 | 67 | 64 | 62 | 64 | 60 | 63 | 63 | 53 | 54 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Don Granato | 71 | 69 | 71 | 70 | 83 | 67 | 1 | USA | 57 | 1 | 1,500,000$ |
| 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 | Hendrix Lapierre | Marlies (TOR) | C/RW | 82 | 40 | 58 | 98 | 15 | 16 | 0 | 122 | 312 | 112 | 179 | 12.82% | 31 | 17.81 | 9 | 29 | 38 | 0 | 0 | 0 | 109 | 6 | 6 | 54.48% | 3 | 1 | 1.20 | 3 | 11 | 1.26 | |||
| 2 | Nikita Alexandrov | Marlies (TOR) | C/LW/RW | 75 | 30 | 55 | 85 | 24 | 43 | 25 | 155 | 270 | 77 | 173 | 11.11% | 23 | 19.83 | 11 | 16 | 27 | 0 | 0 | 0 | 154 | 4 | 3 | 54.40% | 1 | 2 | 1.13 | 3 | 9 | 1.18 | |||
| 3 | Brett Seney | Marlies (TOR) | LW | 82 | 39 | 39 | 78 | 28 | 91 | 35 | 142 | 273 | 100 | 156 | 14.29% | 23 | 17.99 | 6 | 10 | 16 | 0 | 0 | 0 | 54 | 6 | 3 | 35.16% | 0 | 0 | 0.95 | 0 | 0 | 0.95 | |||
| 4 | Blake Wheeler | Marlies (TOR) | RW | 82 | 35 | 43 | 78 | 30 | 71 | 35 | 141 | 253 | 64 | 161 | 13.83% | 24 | 17.93 | 10 | 7 | 17 | 0 | 0 | 0 | 0 | 7 | 3 | 53.85% | 1 | 1 | 0.95 | 2 | 9 | 0.97 | |||
| 5 | Georgii Merkulov | Marlies (TOR) | C | 82 | 26 | 37 | 63 | 17 | 30 | 10 | 133 | 201 | 59 | 122 | 12.94% | 12 | 13.84 | 8 | 12 | 20 | 0 | 0 | 0 | 10 | 7 | 1 | 49.32% | 0 | 0 | 0.77 | 0 | 2 | 0.80 | |||
| 6 | Patrick Brown | Marlies (TOR) | C/LW/RW | 76 | 23 | 35 | 58 | 25 | 39 | 15 | 108 | 222 | 64 | 125 | 10.36% | 14 | 13.44 | 0 | 3 | 3 | 0 | 0 | 0 | 58 | 3 | 1 | 60.40% | 0 | 0 | 0.76 | 0 | 1 | 0.87 | |||
| 7 | Jake Lucchini | Marlies (TOR) | C | 82 | 20 | 31 | 51 | 22 | 26 | 10 | 106 | 207 | 82 | 133 | 9.66% | 14 | 13.52 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 3 | 1 | 54.15% | 0 | 0 | 0.62 | 0 | 0 | 0.74 | |||
| 8 | Jani Nyman | Marlies (TOR) | RW | 82 | 19 | 24 | 43 | 15 | 22 | 0 | 133 | 177 | 51 | 124 | 10.73% | 19 | 13.83 | 4 | 4 | 8 | 0 | 0 | 0 | 0 | 7 | 1 | 50.00% | 0 | 0 | 0.52 | 0 | 1 | 0.63 | |||
| 9 | Ronnie Attard | Marlies (TOR) | D | 82 | 8 | 31 | 39 | 20 | 122 | 50 | 140 | 127 | 53 | 45 | 6.30% | 97 | 24.32 | 5 | 7 | 12 | 0 | 1 | 1 | 167 | 1 | 0 | 0.00% | 0 | 0 | 0.48 | 0 | 0 | 0.35 | |||
| 10 | Dominic Toninato | Marlies (TOR) | C/RW | 81 | 20 | 17 | 37 | 19 | 34 | 10 | 100 | 168 | 56 | 74 | 11.90% | 12 | 12.62 | 0 | 2 | 2 | 1 | 0 | 1 | 23 | 3 | 3 | 62.03% | 0 | 0 | 0.46 | 0 | 0 | 0.55 | |||
| 11 | Vincent Iorio | Marlies (TOR) | D | 80 | 5 | 29 | 34 | 16 | 22 | 10 | 95 | 89 | 33 | 34 | 5.62% | 80 | 20.74 | 3 | 4 | 7 | 0 | 0 | 0 | 162 | 1 | 0 | 0.00% | 0 | 0 | 0.43 | 1 | 1 | 0.46 | |||
| 12 | Jujhar Khaira | Marlies (TOR) | C | 82 | 13 | 16 | 29 | 21 | 43 | 15 | 126 | 115 | 36 | 77 | 11.30% | 18 | 13.39 | 0 | 0 | 0 | 0 | 0 | 0 | 156 | 1 | 2 | 57.07% | 0 | 0 | 0.35 | 0 | 0 | 0.41 | |||
| 13 | Ryan Greene | Marlies (TOR) | C | 79 | 14 | 12 | 26 | 11 | 17 | 5 | 91 | 95 | 30 | 57 | 14.74% | 15 | 14.85 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 2 | 45.19% | 0 | 0 | 0.33 | 0 | 0 | 0.37 | |||
| 14 | Sam Honzek | Marlies (TOR) | LW | 79 | 10 | 16 | 26 | 23 | 39 | 5 | 131 | 107 | 49 | 62 | 9.35% | 19 | 13.34 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 1 | 0 | 43.18% | 0 | 0 | 0.33 | 0 | 0 | 0.41 | |||
| 15 | Dillon Heatherington | Marlies (TOR) | D | 82 | 1 | 25 | 26 | 29 | 89 | 45 | 124 | 83 | 34 | 31 | 1.20% | 82 | 21.71 | 1 | 0 | 1 | 0 | 1 | 1 | 124 | 0 | 0 | 0.00% | 0 | 0 | 0.32 | 0 | 0 | 0.29 | |||
| 16 | Tommy Miller | Marlies (TOR) | D | 82 | 1 | 20 | 21 | 37 | 56 | 20 | 73 | 54 | 28 | 32 | 1.85% | 42 | 17.66 | 1 | 1 | 2 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.29 | |||
| 17 | William Wallinder | Marlies (TOR) | D | 82 | 1 | 19 | 20 | 31 | 12 | 10 | 88 | 71 | 34 | 34 | 1.41% | 69 | 19.77 | 1 | 2 | 3 | 0 | 0 | 0 | 141 | 1 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.39 | |||
| 18 | C.J. Smith | Marlies (TOR) | C/LW/RW | 32 | 8 | 6 | 14 | 9 | 9 | 5 | 49 | 41 | 11 | 20 | 19.51% | 11 | 13.22 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 1 | 0 | 52.38% | 0 | 0 | 0.44 | 0 | 0 | 0.51 | |||
| 19 | Ville Koivunen | Marlies (TOR) | RW | 33 | 7 | 5 | 12 | 10 | 8 | 0 | 53 | 63 | 16 | 36 | 11.11% | 5 | 11.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 61.11% | 0 | 0 | 0.36 | 0 | 0 | 0.53 | |||
| 20 | Scooter Brickey | Marlies (TOR) | D | 31 | 0 | 5 | 5 | 15 | 20 | 10 | 40 | 32 | 10 | 15 | 0.00% | 18 | 16.13 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.16 | 0 | 0 | 0.29 | |||
| 21 | Tyson Feist | Marlies (TOR) | D | 32 | 1 | 3 | 4 | 17 | 6 | 0 | 31 | 28 | 9 | 3 | 3.57% | 21 | 16.04 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.35 | |||
| 22 | Alec Regula | Marlies (TOR) | D | 32 | 0 | 2 | 2 | 16 | 27 | 5 | 30 | 21 | 9 | 10 | 0.00% | 22 | 16.68 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | 0.16 | |||
| 23 | Martin Frk | Marlies (TOR) | RW | 11 | 1 | 1 | 2 | 4 | 2 | 0 | 11 | 15 | 3 | 8 | 6.67% | 3 | 12.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.36 | |||
| 24 | Zac Dalpe | Marlies (TOR) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 9.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.05 | |||
| Team Total or Average | 1544 | 322 | 529 | 851 | 454 | 844 | 320 | 2224 | 3024 | 1020 | 1711 | 10.65% | 674 | 16.60 | 59 | 99 | 158 | 1609 | 1 | 2 | 3 | 1316 | 55 | 26 | 53.80% | 4851 | 644 | 473 | 5 | 4 | 0.66 | 9 | 34 |
| 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 | Joel Blomqvist | Marlies (TOR) | 54 | 40 | 8 | 2 | 0.895 | 2.45 | 3082 | 2 | 5 | 126 | 1205 | 648 | 5 | 0 | 0.867 | 15 | 52 | 29 | 4 | 2 | 3 |
| 2 | Nikke Kokko | Marlies (TOR) | 9 | 6 | 2 | 1 | 0.885 | 2.77 | 520 | 0 | 1 | 24 | 209 | 114 | 1 | 0 | 1.000 | 2 | 9 | 13 | 2 | 0 | 0 |
| 3 | Magnus Chrona | Marlies (TOR) | 1 | 0 | 0 | 0 | 0.800 | 4.80 | 25 | 0 | 0 | 2 | 10 | 5 | 0 | 0 | 0.000 | 0 | 0 | 1 | 0 | 0 | 0 |
| Team Total or Average | 64 | 46 | 10 | 3 | 0.893 | 2.51 | 3628 | 2 | 6 | 152 | 1424 | 767 | 6 | 0 | 0.882 | 17 | 61 | 43 | 6 | 2 | 3 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alec Regula | D | 24 | 1,400,000$ | 1,400,000$ | |||||||
| Anton Malmström | D | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Blake Wheeler | RW | 38 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Brett Seney | LW | 29 | 975,000$ | 975,000$ | UFA | ||||||
| C.J. Smith | C/LW/RW | 30 | 975,000$ | 975,000$ | UFA | ||||||
| Carl Berglund | C | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Carsen Twarynski | LW | 27 | 975,000$ | 975,000$ | UFA | ||||||
| Chad Hillebrand | C/LW/RW | 26 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Darren Brady | D | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Dillon Heatherington | D | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Domenic DiVincentiis | G | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Dominic Toninato | C/RW | 31 | 1,275,000$ | 1,275,000$ | 1,275,000$ | 1,275,000$ | UFA | ||||
| Garrett Pyke | D | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Georgii Merkulov | C | 24 | 975,000$ | 975,000$ | |||||||
| Hendrix Lapierre | C/RW | 23 | 975,000$ | 975,000$ | |||||||
| Jake Lucchini | C | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Jani Nyman | RW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Jaydon Dureau | LW | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Jiri Patera | G | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Joakim Ryan | D | 32 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Joel Blomqvist | G | 23 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | UFA | |||
| Jujhar Khaira | C | 30 | 1,250,000$ | 1,250,000$ | 1,250,000$ | UFA | |||||
| Magnus Chrona | G | 24 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Martin Frk | RW | 31 | 975,000$ | 975,000$ | UFA | ||||||
| Mason Jobst | C | 31 | 3,000,000$ | 3,000,000$ | UFA | ||||||
| Matyas Sapovaliv | C | 21 | 803,333$ | 975,000$ | 975,000$ | RFA | |||||
| Miko Matikka | RW | 21 | 870,000$ | 975,000$ | 975,000$ | RFA | |||||
| Nikita Alexandrov | C/LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Nikke Kokko | G | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Patrick Brown | C/LW/RW | 33 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Ronnie Attard | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
| Ryan Greene | C | 21 | 950,000$ | 975,000$ | 975,000$ | RFA | |||||
| Sam Honzek | LW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Scooter Brickey | D | 26 | 1,000,000$ | 1,000,000$ | |||||||
| Tommy Miller | D | 26 | 975,000$ | 975,000$ | UFA | ||||||
| Ty Glover | C | 24 | 975,000$ | 975,000$ | |||||||
| Tyson Feist | D | 24 | 975,000$ | 975,000$ | |||||||
| Ville Koivunen | RW | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Vincent Iorio | D | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| William Wallinder | D | 22 | 975,000$ | 975,000$ | 975,000$ | ||||||
| Zac Dalpe | C | 35 | 1,000,000$ | 1,000,000$ | 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 | Gulls | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 12 | -1 | 3 | 0.500 | 11 | 18 | 29 | 0 | 0 | 60 | 125 | 122 | 10 | 101 | 914 | 1018 | 996 | 41 | 47 | 12 | 47 | 99 | 8 | 3 | 37.50% | 11 | 4 | 63.64% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 50.0% | 10.9% | 74.5% | 85.4 | FUN |
| 2 | Moose | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 11 | 19 | 0 | 0 | 60 | 125 | 122 | 10 | 75 | 914 | 1018 | 996 | 41 | 45 | 13 | 13 | 45 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 66.7% | 10.7% | 88.9% | 99.6 | FUN |
| 3 | Bruins | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 4 | 0.667 | 12 | 17 | 29 | 0 | 0 | 60 | 125 | 122 | 10 | 120 | 914 | 1018 | 996 | 41 | 102 | 37 | 25 | 63 | 6 | 2 | 33.33% | 5 | 1 | 80.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 62.5% | 10.0% | 93.1% | 103.1 | LUCKY |
| 4 | Americans | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 10 | 2 | 6 | 0.750 | 12 | 18 | 30 | 0 | 0 | 60 | 125 | 122 | 10 | 149 | 914 | 1018 | 996 | 41 | 92 | 34 | 65 | 113 | 7 | 3 | 42.86% | 15 | 3 | 80.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 56.3% | 8.1% | 89.1% | 97.2 | Unlucky |
| 5 | Heat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 60 | 125 | 122 | 10 | 76 | 914 | 1018 | 996 | 41 | 39 | 10 | 21 | 43 | 8 | 4 | 50.00% | 3 | 0 | 100.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 63.6% | 14.5% | 89.7% | 104.2 | FUN |
| 6 | Wolves | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 3 | 0.750 | 6 | 9 | 15 | 0 | 0 | 60 | 125 | 122 | 10 | 74 | 914 | 1018 | 996 | 41 | 49 | 17 | 22 | 47 | 4 | 1 | 25.00% | 6 | 3 | 50.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 62.5% | 8.1% | 87.8% | 95.9 | Unlucky |
| 7 | IceHogs | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 60 | 125 | 122 | 10 | 65 | 914 | 1018 | 996 | 41 | 59 | 16 | 33 | 44 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 69.2% | 13.8% | 93.2% | 107.1 | LUCKY |
| 8 | Eagles | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 60 | 125 | 122 | 10 | 74 | 914 | 1018 | 996 | 41 | 41 | 15 | 25 | 59 | 4 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 71.4% | 6.8% | 85.4% | 92.1 | Unlucky |
| 9 | Monsters | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 15 | 12 | 3 | 6 | 0.750 | 15 | 25 | 40 | 0 | 0 | 60 | 125 | 122 | 10 | 132 | 914 | 1018 | 996 | 41 | 89 | 20 | 21 | 114 | 11 | 5 | 45.45% | 8 | 1 | 87.50% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 47.6% | 11.4% | 86.5% | 97.9 | FUN |
| 10 | Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 60 | 125 | 122 | 10 | 58 | 914 | 1018 | 996 | 41 | 39 | 14 | 22 | 64 | 2 | 2 | 100.00% | 6 | 2 | 66.67% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 36.4% | 10.3% | 76.9% | 87.3 | FUN |
| 11 | Griffins | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 1 | 0.250 | 4 | 5 | 9 | 0 | 0 | 60 | 125 | 122 | 10 | 58 | 914 | 1018 | 996 | 41 | 67 | 24 | 18 | 54 | 8 | 3 | 37.50% | 4 | 1 | 75.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 14.3% | 6.9% | 89.6% | 96.4 | Unlucky |
| 12 | Condors | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 60 | 125 | 122 | 10 | 62 | 914 | 1018 | 996 | 41 | 58 | 19 | 14 | 47 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 55.6% | 9.7% | 89.7% | 99.3 | FUN |
| 13 | Checkers 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 6 | 6 | 4 | 1.000 | 12 | 21 | 33 | 0 | 0 | 60 | 125 | 122 | 10 | 79 | 914 | 1018 | 996 | 41 | 26 | 9 | 16 | 58 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 62.5% | 15.2% | 76.9% | 92.1 | FUN |
| 14 | Reign | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 11 | 8 | 6 | 0.750 | 19 | 30 | 49 | 0 | 1 | 60 | 125 | 122 | 10 | 142 | 914 | 1018 | 996 | 41 | 97 | 33 | 34 | 106 | 13 | 2 | 15.38% | 12 | 6 | 50.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 77.3% | 13.4% | 88.7% | 102.0 | FUN |
| 15 | Wild | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 6 | 1.000 | 10 | 17 | 27 | 0 | 2 | 60 | 125 | 122 | 10 | 107 | 914 | 1018 | 996 | 41 | 34 | 6 | 18 | 77 | 7 | 3 | 42.86% | 9 | 0 | 100.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 77.8% | 9.3% | 94.1% | 103.5 | LUCKY |
| 16 | Rocket | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 24 | 11 | 13 | 8 | 0.800 | 24 | 40 | 64 | 0 | 1 | 60 | 125 | 122 | 10 | 192 | 914 | 1018 | 996 | 41 | 129 | 29 | 32 | 118 | 17 | 2 | 11.76% | 11 | 2 | 81.82% | 1 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 71.0% | 12.5% | 91.5% | 104.0 | LUCKY |
| 17 | Admirals | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 60 | 125 | 122 | 10 | 96 | 914 | 1018 | 996 | 41 | 41 | 19 | 19 | 48 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 75.0% | 11.5% | 87.8% | 99.3 | FUN |
| 18 | Comets | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 16 | 7 | 9 | 7 | 0.875 | 16 | 26 | 42 | 0 | 0 | 60 | 125 | 122 | 10 | 131 | 914 | 1018 | 996 | 41 | 56 | 21 | 44 | 124 | 11 | 4 | 36.36% | 7 | 1 | 85.71% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 66.7% | 12.2% | 87.5% | 99.7 | FUN |
| 19 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 13 | 21 | 0 | 1 | 60 | 125 | 122 | 10 | 65 | 914 | 1018 | 996 | 41 | 34 | 15 | 10 | 64 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 80.0% | 12.3% | 91.2% | 103.5 | LUCKY |
| 20 | Wolf Pack | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 7 | 2 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 60 | 125 | 122 | 10 | 77 | 914 | 1018 | 996 | 41 | 67 | 20 | 19 | 51 | 7 | 4 | 57.14% | 7 | 3 | 57.14% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 55.6% | 11.7% | 89.6% | 101.2 | FUN |
| 21 | Belleville Senators | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 17 | 12 | 5 | 7 | 0.875 | 17 | 25 | 42 | 0 | 0 | 60 | 125 | 122 | 10 | 140 | 914 | 1018 | 996 | 41 | 136 | 52 | 61 | 116 | 12 | 3 | 25.00% | 13 | 3 | 76.92% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 60.9% | 12.1% | 91.2% | 103.3 | LUCKY |
| 22 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 1 | 60 | 125 | 122 | 10 | 67 | 914 | 1018 | 996 | 41 | 41 | 15 | 54 | 54 | 4 | 1 | 25.00% | 7 | 3 | 57.14% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 50.0% | 9.0% | 80.5% | 89.4 | FUN |
| 23 | Roadrunners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 60 | 125 | 122 | 10 | 52 | 914 | 1018 | 996 | 41 | 54 | 20 | 25 | 44 | 8 | 1 | 12.50% | 10 | 4 | 60.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 53.8% | 15.4% | 81.5% | 96.9 | FUN |
| 24 | Penguins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 60 | 125 | 122 | 10 | 80 | 914 | 1018 | 996 | 41 | 57 | 17 | 10 | 50 | 7 | 2 | 28.57% | 5 | 2 | 60.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 54.5% | 10.0% | 87.7% | 97.7 | FUN |
| 25 | Barracuda | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 7 | 1 | 3 | 0.750 | 8 | 11 | 19 | 0 | 0 | 60 | 125 | 122 | 10 | 76 | 914 | 1018 | 996 | 41 | 54 | 23 | 27 | 57 | 8 | 2 | 25.00% | 6 | 2 | 66.67% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 54.5% | 10.5% | 87.0% | 97.6 | FUN |
| 26 | Thunderbirds | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 10 | 18 | 0 | 0 | 60 | 125 | 122 | 10 | 74 | 914 | 1018 | 996 | 41 | 71 | 28 | 43 | 45 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 60.0% | 10.8% | 93.0% | 103.8 | LUCKY |
| 27 | Crunch | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 10 | 8 | 1.000 | 17 | 33 | 50 | 0 | 0 | 60 | 125 | 122 | 10 | 160 | 914 | 1018 | 996 | 41 | 110 | 26 | 12 | 98 | 10 | 2 | 20.00% | 6 | 1 | 83.33% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 71.4% | 10.6% | 93.6% | 104.3 | LUCKY |
| 28 | Canucks | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 6 | 0.750 | 12 | 20 | 32 | 0 | 0 | 60 | 125 | 122 | 10 | 149 | 914 | 1018 | 996 | 41 | 145 | 43 | 27 | 81 | 9 | 1 | 11.11% | 6 | 0 | 100.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 52.4% | 8.1% | 93.1% | 101.2 | DULL |
| 29 | Hershey Bears | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 5 | 10 | 15 | 0 | 1 | 60 | 125 | 122 | 10 | 64 | 914 | 1018 | 996 | 41 | 33 | 13 | 6 | 50 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 83.3% | 7.8% | 97.0% | 104.8 | DULL |
| 30 | Silver Knights | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 5 | 2 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 60 | 125 | 122 | 10 | 68 | 914 | 1018 | 996 | 41 | 34 | 11 | 10 | 54 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 70.0% | 10.3% | 85.3% | 95.6 | FUN |
| 31 | Checkers 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 60 | 125 | 122 | 10 | 78 | 914 | 1018 | 996 | 41 | 53 | 23 | 43 | 51 | 6 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 45.5% | 6.4% | 83.0% | 89.4 | Unlucky |
| _Vs Division | 20 | 20 | 4 | 0 | 1 | 2 | 2 | 0 | 73 | 51 | 22 | 48 | 1.200 | 73 | 120 | 193 | 0 | 3 | 60 | 125 | 122 | 10 | 690 | 914 | 1018 | 996 | 41 | 426 | 138 | 186 | 554 | 51 | 17 | 33.33% | 48 | 14 | 70.83% | 0 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 60.2% | 10.6% | 88.0% | 98.6 | FUN | |
| _Vs Conference | 46 | 31 | 7 | 0 | 1 | 2 | 4 | 1 | 179 | 114 | 65 | 75 | 0.815 | 179 | 294 | 473 | 0 | 4 | 60 | 125 | 122 | 10 | 1679 | 914 | 1018 | 996 | 41 | 1166 | 368 | 424 | 1201 | 115 | 32 | 27.83% | 107 | 24 | 77.57% | 1 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 62.0% | 10.7% | 90.2% | 100.9 | FUN | |
| _Since Last GM Reset | 82 | 52 | 15 | 0 | 2 | 4 | 6 | 3 | 315 | 221 | 94 | 127 | 0.774 | 315 | 512 | 827 | 0 | 7 | 60 | 125 | 122 | 10 | 2941 | 914 | 1018 | 996 | 41 | 1999 | 654 | 836 | 2138 | 215 | 57 | 26.51% | 216 | 58 | 73.15% | 1 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 61.3% | 10.7% | 88.9% | 99.7 | FUN | |
| Total | 82 | 52 | 15 | 0 | 2 | 4 | 6 | 3 | 315 | 221 | 94 | 127 | 0.774 | 315 | 512 | 827 | 0 | 7 | 60 | 125 | 122 | 10 | 2941 | 914 | 1018 | 996 | 41 | 1999 | 654 | 836 | 2138 | 215 | 57 | 26.51% | 216 | 58 | 73.15% | 1 | 1016 | 1840 | 55.22% | 775 | 1427 | 54.31% | 643 | 1177 | 54.63% | 1793 | 994 | 1524 | 829 | 1650 | 775 | 61.3% | 10.7% | 88.9% | 99.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 20 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1840 |
| Neutral Zone Start | 1177 |
| Defensive Zone Start | 1427 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2434 |
| Faceoffs Lost | 2010 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.1 | 9.57 |
| 2nd Period | 23.6 | 20.31 |
| 3rd Period | 35.7 | 30.68 |
| Overtime | 36.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 2.3 | 1.65 |
| 3rd Period | 3.7 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 257 |
|---|---|
| PP Goal | 57 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 28 | 32 |
| Lost | 10 | 5 |
| Overtime Lost | 3 | 4 |
| PP Attempt | 215 |
|---|---|
| PP Goal | 57 |
| PK Attempt | 216 |
| PK Goal Against | 58 |
| Home | |
|---|---|
| Shots For | 35.9 |
| Shots Against | 24.4 |
| Goals For | 3.8 |
| Goals Against | 2.7 |
| Hits | 26.1 |
| Shots Blocked | 8.0 |
| Pim | 10.2 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,380,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Toronto | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 28$ | 12$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,380,000$ | 4,380,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 5,690,970$ | 0$ | 4,190,983$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 22 | 34,793$ | 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 |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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