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Full Scoreboard »» |
![]() | Toronto Marlies 23-4-3, 49pts · 2nd 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$/1yrs | |||
Nikita Alexandrov | 0 | C/LW/RW | 99.00 | 64 | 41 | 75 | 70 | 68 | 70 | 65 | 66 | 60 | 63 | 61 | 62 | 65 | 57 | 50 | 1 | 50 | 63 | 24 | 1,000,000$/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 | |||
Brett Seney | 0 | LW | 99.00 | 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$/3yrs | |||
C.J. Smith | 0 | C/LW/RW | 100.00 | 54 | 41 | 65 | 60 | 56 | 62 | 60 | 57 | 42 | 56 | 52 | 57 | 56 | 60 | 53 | 1 | 50 | 56 | 30 | 975,000$/1yrs | |||
Vincent Iorio (R) | 0 | D | 99.00 | 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$/2yrs | |||
Ronnie Attard (A) | 0 | D | 99.00 | 62 | 49 | 61 | 65 | 68 | 67 | 65 | 63 | 40 | 58 | 58 | 63 | 62 | 54 | 50 | 1 | 50 | 61 | 26 | 1,000,000$/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$/1yrs | |||
Tyson Feist | 0 | D | 100.00 | 64 | 41 | 62 | 62 | 68 | 61 | 58 | 53 | 40 | 51 | 51 | 63 | 55 | 52 | 50 | 1 | 50 | 58 | 24 | 975,000$/1yrs | |||
| 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 | |||
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 | |||
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$/1yrs | |||
Darren Brady | 0 | D | 100.00 | 55 | 40 | 64 | 59 | 58 | 60 | 58 | 53 | 40 | 51 | 50 | 60 | 54 | 56 | 50 | 1 | 50 | 56 | 29 | 1,000,000$/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$/1yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Arturs Silovs | 0 | 100.00 | 74 | 69 | 70 | 79 | 73 | 71 | 70 | 68 | 72 | 72 | 67 | 56 | 52 | 1 | 50 | 65 | 24 | 1,100,000$/2yrs |
Joel Blomqvist | 0 | 98.00 | 73 | 67 | 68 | 76 | 71 | 71 | 70 | 70 | 73 | 71 | 68 | 52 | 50 | 1 | 50 | 65 | 23 | 1,400,000$/4yrs |
| Scratches | ||||||||||||||||||||
Magnus Chrona | 0 | 100.00 | 69 | 63 | 65 | 69 | 68 | 67 | 69 | 66 | 67 | 67 | 55 | 52 | 50 | 1 | 50 | 61 | 24 | 975,000$/2yrs |
Nikke Kokko | 0 | 100.00 | 68 | 61 | 63 | 64 | 66 | 68 | 70 | 68 | 69 | 66 | 56 | 50 | 50 | 1 | 50 | 61 | 21 | 975,000$/3yrs |
Domenic DiVincentiis | 0 | 100.00 | 67 | 61 | 62 | 65 | 65 | 66 | 68 | 66 | 66 | 64 | 56 | 50 | 50 | 1 | 50 | 60 | 21 | 975,000$/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 | 30 | 17 | 23 | 40 | 1 | 6 | 0 | 48 | 119 | 42 | 57 | 14.29% | 16 | 19.53 | 6 | 12 | 18 | 0 | 0 | 0 | 39 | 3 | 4 | 55.60% | 1 | 0 | 1.33 | 0 | 4 | 1.31 | |||
| 2 | Brett Seney | Marlies (TOR) | LW | 30 | 13 | 20 | 33 | 22 | 22 | 10 | 51 | 106 | 39 | 53 | 12.26% | 12 | 18.06 | 3 | 4 | 7 | 0 | 0 | 0 | 13 | 1 | 2 | 41.38% | 0 | 0 | 1.10 | 0 | 0 | 1.26 | |||
| 3 | Blake Wheeler | Marlies (TOR) | RW | 30 | 19 | 12 | 31 | 24 | 18 | 10 | 46 | 95 | 23 | 65 | 20.00% | 6 | 17.85 | 5 | 3 | 8 | 0 | 0 | 0 | 0 | 5 | 1 | 60.53% | 0 | 1 | 1.03 | 1 | 2 | 1.25 | |||
| 4 | Nikita Alexandrov | Marlies (TOR) | C/LW/RW | 23 | 11 | 18 | 29 | 16 | 14 | 10 | 46 | 78 | 23 | 59 | 14.10% | 9 | 19.99 | 2 | 6 | 8 | 0 | 0 | 0 | 43 | 1 | 0 | 56.66% | 1 | 1 | 1.26 | 1 | 1 | 1.40 | |||
| 5 | Georgii Merkulov | Marlies (TOR) | C | 30 | 11 | 17 | 28 | 9 | 23 | 5 | 43 | 78 | 24 | 52 | 14.10% | 3 | 13.65 | 3 | 5 | 8 | 0 | 0 | 0 | 10 | 2 | 1 | 50.49% | 0 | 0 | 0.93 | 0 | 1 | 0.89 | |||
| 6 | Jake Lucchini | Marlies (TOR) | C | 30 | 10 | 12 | 22 | 9 | 12 | 10 | 40 | 90 | 31 | 48 | 11.11% | 3 | 13.36 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 1 | 1 | 53.93% | 0 | 0 | 0.73 | 0 | 0 | 0.85 | |||
| 7 | Patrick Brown | Marlies (TOR) | C/LW/RW | 24 | 4 | 15 | 19 | 8 | 30 | 10 | 30 | 70 | 20 | 34 | 5.71% | 3 | 13.95 | 0 | 3 | 3 | 0 | 0 | 0 | 18 | 0 | 0 | 62.58% | 0 | 0 | 0.79 | 0 | 1 | 0.74 | |||
| 8 | Dominic Toninato | Marlies (TOR) | C/RW | 29 | 9 | 10 | 19 | 8 | 14 | 0 | 32 | 80 | 25 | 39 | 11.25% | 4 | 13.54 | 0 | 2 | 2 | 1 | 0 | 1 | 22 | 0 | 1 | 66.67% | 0 | 0 | 0.66 | 0 | 0 | 0.75 | |||
| 9 | Ronnie Attard | Marlies (TOR) | D | 30 | 5 | 14 | 19 | 19 | 77 | 35 | 54 | 49 | 22 | 17 | 10.20% | 39 | 24.06 | 2 | 3 | 5 | 0 | 1 | 1 | 53 | 1 | 0 | 0.00% | 0 | 0 | 0.63 | 0 | 0 | 0.43 | |||
| 10 | Jani Nyman | Marlies (TOR) | RW | 30 | 6 | 11 | 17 | 6 | 4 | 0 | 46 | 72 | 19 | 48 | 8.33% | 5 | 13.19 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 3 | 0 | 60.00% | 0 | 0 | 0.57 | 0 | 0 | 0.70 | |||
| 11 | Dillon Heatherington | Marlies (TOR) | D | 30 | 1 | 14 | 15 | 23 | 38 | 10 | 38 | 32 | 18 | 17 | 3.13% | 36 | 22.76 | 1 | 0 | 1 | 0 | 1 | 1 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.53 | |||
| 12 | C.J. Smith | Marlies (TOR) | C/LW/RW | 30 | 8 | 5 | 13 | 10 | 9 | 5 | 45 | 41 | 11 | 19 | 19.51% | 9 | 13.24 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 1 | 0 | 55.00% | 0 | 0 | 0.43 | 0 | 0 | 0.53 | |||
| 13 | Sam Honzek | Marlies (TOR) | LW | 30 | 5 | 8 | 13 | 6 | 4 | 0 | 47 | 40 | 18 | 23 | 12.50% | 9 | 13.71 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 52.17% | 0 | 0 | 0.43 | 0 | 0 | 0.51 | |||
| 14 | Jujhar Khaira | Marlies (TOR) | C | 30 | 5 | 5 | 10 | 6 | 8 | 0 | 42 | 46 | 12 | 24 | 10.87% | 6 | 13.36 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 1 | 1 | 59.26% | 0 | 0 | 0.33 | 0 | 0 | 0.43 | |||
| 15 | Vincent Iorio | Marlies (TOR) | D | 28 | 0 | 10 | 10 | -2 | 4 | 0 | 33 | 25 | 7 | 10 | 0.00% | 21 | 19.03 | 0 | 2 | 2 | 0 | 0 | 0 | 39 | 0 | 0 | 0.00% | 0 | 0 | 0.36 | 1 | 1 | 0.30 | |||
| 16 | William Wallinder | Marlies (TOR) | D | 30 | 1 | 8 | 9 | 11 | 7 | 5 | 32 | 34 | 15 | 16 | 2.94% | 24 | 19.66 | 1 | 2 | 3 | 0 | 0 | 0 | 49 | 1 | 0 | 0.00% | 0 | 0 | 0.30 | 0 | 0 | 0.43 | |||
| 17 | Ville Koivunen | Marlies (TOR) | RW | 13 | 4 | 2 | 6 | 3 | 2 | 0 | 20 | 38 | 9 | 22 | 10.53% | 4 | 13.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 70.00% | 0 | 0 | 0.46 | 0 | 0 | 0.70 | |||
| 18 | Tommy Miller | Marlies (TOR) | D | 30 | 0 | 5 | 5 | 17 | 14 | 0 | 20 | 19 | 11 | 10 | 0.00% | 23 | 18.38 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 0.00% | 0 | 0 | 0.17 | 0 | 0 | 0.31 | |||
| 19 | Tyson Feist | Marlies (TOR) | D | 30 | 1 | 2 | 3 | 15 | 4 | 0 | 31 | 28 | 9 | 2 | 3.57% | 21 | 16.07 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.10 | 0 | 0 | 0.34 | |||
| 20 | Alec Regula | Marlies (TOR) | D | 13 | 0 | 1 | 1 | 4 | 6 | 0 | 9 | 10 | 4 | 3 | 0.00% | 12 | 16.49 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.08 | 0 | 0 | 0.18 | |||
| 21 | 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 | 551 | 130 | 212 | 342 | 215 | 316 | 110 | 755 | 1150 | 382 | 618 | 11.30% | 265 | 16.73 | 25 | 45 | 70 | 617 | 1 | 2 | 3 | 470 | 21 | 11 | 56.92% | 1727 | 244 | 187 | 2 | 2 | 0.74 | 3 | 10 |
| 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) | 15 | 12 | 1 | 0 | 0.921 | 2.02 | 833 | 0 | 0 | 28 | 355 | 179 | 1 | 0 | 0.000 | 0 | 13 | 17 | 2 | 0 | 1 |
| 2 | Arturs Silovs | Marlies (TOR) | 18 | 11 | 3 | 3 | 0.891 | 2.95 | 976 | 2 | 0 | 48 | 442 | 248 | 2 | 0 | 1.000 | 6 | 17 | 13 | 0 | 0 | 0 |
| Team Total or Average | 33 | 23 | 4 | 3 | 0.905 | 2.52 | 1810 | 2 | 0 | 76 | 797 | 427 | 3 | 0 | 1.000 | 6 | 30 | 30 | 2 | 0 | 1 |
| 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$ | |||||||
| Arturs Silovs | G | 24 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
| 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$ | |||||||
| 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$ | RFA | ||||||
| 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$ | ||||
| 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$ | RFA | ||||
| 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 | |||
| 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$ | |||||||
| 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 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 26 | 45 | 53 | 2 | 34 | 351 | 374 | 397 | 7 | 13 | 2 | 33 | 32 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 40.0% | 8.8% | 69.2% | 78.1 | Unlucky |
| 2 | Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 26 | 45 | 53 | 2 | 39 | 351 | 374 | 397 | 7 | 33 | 16 | 4 | 14 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 80.0% | 10.3% | 97.0% | 107.2 | LUCKY |
| 3 | Americans | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 11 | 19 | 0 | 0 | 26 | 45 | 53 | 2 | 116 | 351 | 374 | 397 | 7 | 73 | 28 | 57 | 79 | 6 | 2 | 33.33% | 11 | 3 | 72.73% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 54.5% | 6.9% | 89.0% | 95.9 | Unlucky |
| 4 | Heat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 4 | 7 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 26 | 45 | 53 | 2 | 76 | 351 | 374 | 397 | 7 | 39 | 10 | 21 | 43 | 8 | 4 | 50.00% | 3 | 0 | 100.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 63.6% | 14.5% | 89.7% | 104.2 | FUN |
| 5 | Wolves | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 26 | 45 | 53 | 2 | 45 | 351 | 374 | 397 | 7 | 26 | 8 | 2 | 21 | 3 | 1 | 33.33% | 1 | 1 | 0.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 60.0% | 8.9% | 88.5% | 97.4 | Unlucky |
| 6 | Condors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 26 | 45 | 53 | 2 | 35 | 351 | 374 | 397 | 7 | 40 | 8 | 8 | 21 | 5 | 1 | 20.00% | 4 | 1 | 75.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 33.3% | 8.6% | 87.5% | 96.1 | Unlucky |
| 7 | Checkers 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 26 | 45 | 53 | 2 | 34 | 351 | 374 | 397 | 7 | 8 | 0 | 9 | 28 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 60.0% | 11.8% | 75.0% | 86.8 | FUN |
| 8 | Reign | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 4 | 0.667 | 15 | 23 | 38 | 0 | 0 | 26 | 45 | 53 | 2 | 101 | 351 | 374 | 397 | 7 | 83 | 28 | 25 | 71 | 12 | 2 | 16.67% | 10 | 6 | 40.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 72.2% | 14.9% | 86.7% | 101.6 | FUN |
| 9 | Rocket | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 4 | 0.667 | 12 | 20 | 32 | 0 | 0 | 26 | 45 | 53 | 2 | 119 | 351 | 374 | 397 | 7 | 86 | 17 | 21 | 62 | 9 | 0 | 0.00% | 8 | 1 | 87.50% | 1 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 66.7% | 10.1% | 91.9% | 101.9 | LUCKY |
| 10 | Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 26 | 45 | 53 | 2 | 53 | 351 | 374 | 397 | 7 | 26 | 10 | 11 | 31 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 71.4% | 11.3% | 92.3% | 103.6 | LUCKY |
| 11 | Comets | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 6 | 7 | 5 | 0.833 | 13 | 21 | 34 | 0 | 0 | 26 | 45 | 53 | 2 | 100 | 351 | 374 | 397 | 7 | 37 | 17 | 33 | 102 | 9 | 3 | 33.33% | 4 | 1 | 75.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 66.7% | 13.0% | 83.8% | 96.8 | FUN |
| 12 | Belleville Senators | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 14 | 10 | 4 | 5 | 0.833 | 14 | 20 | 34 | 0 | 0 | 26 | 45 | 53 | 2 | 103 | 351 | 374 | 397 | 7 | 113 | 43 | 35 | 86 | 9 | 3 | 33.33% | 10 | 3 | 70.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 61.1% | 13.6% | 91.2% | 104.7 | LUCKY |
| 13 | Thunderbirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 26 | 45 | 53 | 2 | 40 | 351 | 374 | 397 | 7 | 37 | 15 | 23 | 21 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 66.7% | 10.0% | 94.6% | 104.6 | LUCKY |
| 14 | Crunch | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 6 | 8 | 6 | 1.000 | 14 | 28 | 42 | 0 | 0 | 26 | 45 | 53 | 2 | 124 | 351 | 374 | 397 | 7 | 92 | 25 | 6 | 63 | 7 | 2 | 28.57% | 3 | 1 | 66.67% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 70.6% | 11.3% | 93.5% | 104.8 | LUCKY |
| 15 | Canucks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 26 | 45 | 53 | 2 | 69 | 351 | 374 | 397 | 7 | 73 | 22 | 20 | 39 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 63.6% | 10.1% | 94.5% | 104.7 | LUCKY |
| 16 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 26 | 45 | 53 | 2 | 36 | 351 | 374 | 397 | 7 | 18 | 8 | 6 | 21 | 0 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 100.0% | 11.1% | 94.4% | 105.6 | LUCKY |
| _Vs Division | 4 | 12 | 2 | 0 | 0 | 2 | 1 | 0 | 17 | 9 | 8 | 28 | 3.500 | 17 | 27 | 44 | 0 | 0 | 26 | 45 | 53 | 2 | 145 | 351 | 374 | 397 | 7 | 63 | 25 | 35 | 123 | 12 | 4 | 33.33% | 5 | 2 | 60.00% | 0 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 65.0% | 11.7% | 85.7% | 97.4 | FUN | |
| _Vs Conference | 20 | 14 | 2 | 0 | 0 | 2 | 2 | 0 | 80 | 47 | 33 | 34 | 0.850 | 80 | 130 | 210 | 0 | 0 | 26 | 45 | 53 | 2 | 749 | 351 | 374 | 397 | 7 | 541 | 176 | 187 | 494 | 50 | 12 | 24.00% | 46 | 10 | 78.26% | 1 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 64.8% | 10.7% | 91.3% | 102.0 | LUCKY | |
| _Since Last GM Reset | 30 | 21 | 4 | 0 | 0 | 3 | 2 | 0 | 126 | 76 | 50 | 49 | 0.817 | 126 | 204 | 330 | 0 | 0 | 26 | 45 | 53 | 2 | 1124 | 351 | 374 | 397 | 7 | 797 | 257 | 314 | 734 | 85 | 23 | 27.06% | 77 | 20 | 74.03% | 1 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 64.8% | 11.2% | 90.5% | 101.7 | FUN | |
| Total | 30 | 21 | 4 | 0 | 0 | 3 | 2 | 0 | 126 | 76 | 50 | 49 | 0.817 | 126 | 204 | 330 | 0 | 0 | 26 | 45 | 53 | 2 | 1124 | 351 | 374 | 397 | 7 | 797 | 257 | 314 | 734 | 85 | 23 | 27.06% | 77 | 20 | 74.03% | 1 | 403 | 692 | 58.24% | 324 | 555 | 58.38% | 250 | 468 | 53.42% | 651 | 365 | 568 | 299 | 590 | 280 | 64.8% | 11.2% | 90.5% | 101.7 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 19 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 692 |
| Neutral Zone Start | 468 |
| Defensive Zone Start | 555 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 977 |
| Faceoffs Lost | 738 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.7 | 9.57 |
| 2nd Period | 24.2 | 20.31 |
| 3rd Period | 37.4 | 30.68 |
| Overtime | 37.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 2.4 | 1.65 |
| 3rd Period | 4.1 | 2.67 |
| Overtime | 4.2 | 2.83 |
| Even Strenght Goal | 102 |
|---|---|
| PP Goal | 23 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 10 | 13 |
| Lost | 3 | 1 |
| Overtime Lost | 3 | 0 |
| PP Attempt | 85 |
|---|---|
| PP Goal | 23 |
| PK Attempt | 77 |
| PK Goal Against | 20 |
| Home | |
|---|---|
| Shots For | 37.5 |
| Shots Against | 26.6 |
| Goals For | 4.2 |
| Goals Against | 2.5 |
| Hits | 24.5 |
| Shots Blocked | 8.6 |
| Pim | 10.5 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Thu, Oct 9 | TOR | @ | BOS | TOR4,BOS1 | RECAP | |||||||||
| Sat, Oct 11 | TOR | @ | BUF | TOR2,BUF1 (SO) | RECAP | |||||||||
| Sun, Oct 12 | LOS | @ | TOR | LOS2,TOR5 | RECAP | |||||||||
| Wed, Oct 15 | BUF | @ | TOR | BUF5,TOR2 | RECAP | |||||||||
| Fri, Oct 17 | TOR | @ | MTL | TOR5,MTL4 | RECAP | |||||||||
| Sun, Oct 19 | OTT | @ | TOR | OTT3,TOR6 | RECAP | |||||||||
| Wed, Oct 22 | VAN | @ | TOR | VAN1,TOR3 | RECAP | |||||||||
| Fri, Oct 24 | TAM | @ | TOR | TAM2,TOR3 | RECAP | |||||||||
| Sun, Oct 26 | TOR | @ | NJD | TOR8,NJD1 | RECAP | |||||||||
| Tue, Oct 28 | TOR | @ | MTL | TOR6,MTL1 | RECAP | |||||||||
| Thu, Oct 30 | TOR | @ | TAM | TOR3,TAM1 | RECAP | |||||||||
| Fri, Oct 31 | LOS | @ | TOR | LOS3,TOR8 | RECAP | |||||||||
| Sun, Nov 2 | TOR | @ | VAN | TOR4,VAN3 | RECAP | |||||||||
| Tue, Nov 4 | MTL | @ | TOR | MTL2,TOR1 | RECAP | |||||||||
| Thu, Nov 6 | NJD | @ | TOR | NJD1,TOR2 | RECAP | |||||||||
| Fri, Nov 7 | TOR | @ | OTT | TOR4,OTT2 | RECAP | |||||||||
| Mon, Nov 10 | CAL | @ | TOR | CAL2,TOR4 | RECAP | |||||||||
| Wed, Nov 12 | NJD | @ | TOR | NJD4,TOR3 (OT) | RECAP | |||||||||
| Fri, Nov 14 | TOR | @ | LOS | TOR2,LOS6 | RECAP | |||||||||
| Sat, Nov 15 | TOR | @ | TAM | TOR8,TAM3 | RECAP | |||||||||
| Mon, Nov 17 | TOR | @ | NAS | TOR6,NAS2 | RECAP | |||||||||
| Wed, Nov 19 | CAR | @ | TOR | CAR3,TOR4 (SO) | RECAP | |||||||||
| Fri, Nov 21 | TOR | @ | CAL | TOR7,CAL2 | RECAP | |||||||||
| Sun, Nov 23 | CHI | @ | TOR | CHI1,TOR4 | RECAP | |||||||||
| Tue, Nov 25 | STL | @ | TOR | STL2,TOR4 | RECAP | |||||||||
| Fri, Nov 28 | TOR | @ | FLO | TOR4,FLO2 | RECAP | |||||||||
| Sat, Nov 29 | TOR | @ | BUF | TOR4,BUF2 | RECAP | |||||||||
| Mon, Dec 1 | OTT | @ | TOR | OTT5,TOR4 (OT) | RECAP | |||||||||
| Thu, Dec 4 | ANA | @ | TOR | ANA4,TOR3 (OT) | RECAP | |||||||||
| Sun, Dec 7 | EDM | @ | TOR | EDM5,TOR3 | RECAP | |||||||||
| Tue, Dec 9 | TOR | @ | WAS | |||||||||||
| Thu, Dec 11 | PHO | @ | TOR | |||||||||||
| Mon, Dec 15 | TAM | @ | TOR | |||||||||||
| Wed, Dec 17 | TOR | @ | COL | |||||||||||
| Thu, Dec 18 | TOR | @ | ANA | |||||||||||
| Fri, Dec 19 | WAS | @ | TOR | |||||||||||
| Tue, Dec 23 | PIT | @ | TOR | |||||||||||
| Thu, Dec 25 | TOR | @ | NJD | |||||||||||
| Sat, Dec 27 | TOR | @ | PHO | |||||||||||
| Mon, Dec 29 | TOR | @ | MTL | |||||||||||
| Tue, Dec 30 | LOS | @ | TOR | |||||||||||
| Fri, Jan 2 | PHI | @ | TOR | |||||||||||
| Mon, Jan 5 | TOR | @ | ANA | |||||||||||
| Tue, Jan 6 | DET | @ | TOR | |||||||||||
| Fri, Jan 9 | TOR | @ | OTT | |||||||||||
| Sun, Jan 11 | WPG | @ | TOR | |||||||||||
| Tue, Jan 13 | TOR | @ | DET | |||||||||||
| Wed, Jan 14 | CHI | @ | TOR | |||||||||||
| Fri, Jan 16 | TOR | @ | CAR | |||||||||||
| Sun, Jan 18 | SEA | @ | TOR | |||||||||||
| Wed, Jan 21 | TOR | @ | DAL | |||||||||||
| Thu, Jan 22 | COL | @ | TOR | |||||||||||
| Sun, Jan 25 | TOR | @ | NYI | |||||||||||
| Mon, Jan 26 | BUF | @ | TOR | |||||||||||
| Thu, Jan 29 | TOR | @ | BOS | |||||||||||
| Fri, Jan 30 | NAS | @ | TOR | |||||||||||
| Mon, Feb 2 | S J | @ | TOR | |||||||||||
| Tue, Feb 3 | TOR | @ | PHI | |||||||||||
| Fri, Feb 6 | TOR | @ | PIT | |||||||||||
| Sat, Feb 7 | NYR | @ | TOR | |||||||||||
| Tue, Feb 10 | TOR | @ | STL | |||||||||||
| Wed, Feb 11 | DAL | @ | TOR | |||||||||||
| Sat, Feb 14 | BOS | @ | TOR | |||||||||||
| Mon, Feb 16 | TOR | @ | EDM | |||||||||||
| Tue, Feb 17 | TOR | @ | WPG | |||||||||||
| Thu, Feb 19 | NYI | @ | TOR | |||||||||||
| Sun, Feb 22 | MIN | @ | TOR | |||||||||||
| Mon, Feb 23 | TOR | @ | MIN | |||||||||||
| Thu, Feb 26 | VAN | @ | TOR | |||||||||||
| Fri, Feb 27 | TOR | @ | SEA | |||||||||||
| Mon, Mar 2 | FLO | @ | TOR | |||||||||||
| Wed, Mar 4 | TOR | @ | NYR | |||||||||||
| Fri, Mar 6 | MTL | @ | TOR | |||||||||||
| Sat, Mar 7 | TOR | @ | VAN | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Tue, Mar 10 | MIN | @ | TOR | |||||||||||
| Thu, Mar 12 | TOR | @ | CLB | |||||||||||
| Sun, Mar 15 | CLB | @ | TOR | |||||||||||
| Mon, Mar 16 | TOR | @ | CHI | |||||||||||
| Thu, Mar 19 | CLB | @ | TOR | |||||||||||
| Sat, Mar 21 | TOR | @ | CLB | |||||||||||
| Sun, Mar 22 | TOR | @ | CHI | |||||||||||
| Mon, Mar 23 | TOR | @ | S J | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 4,392,500$ | 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 |
| 25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 4,392,500$ | 4,392,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,088,688$ | 0$ | 1,547,253$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 34,867$ | 3,765,636$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,765,636$ | 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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Sergei Bobrovsky is out for 1 days because of a Exhaustion.
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