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![]() | Toronto Marlies 12-5-0, 24pts · 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 | |||
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$/2yrs | |||
Jani Nyman (R) | 0 | RW | 100.00 | 64 | 42 | 65 | 62 | 67 | 58 | 57 | 62 | 42 | 59 | 62 | 59 | 62 | 50 | 50 | 1 | 50 | 59 | 20 | 975,000$/3yrs | |||
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 | |||
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$/1yrs | |||
Tommy Miller | 0 | D | 100.00 | 60 | 41 | 72 | 66 | 63 | 65 | 62 | 57 | 40 | 51 | 51 | 64 | 58 | 54 | 50 | 1 | 50 | 59 | 26 | 975,000$/1yrs | |||
| 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$/1yrs | |||
Martin Frk | 0 | RW | 100.00 | 52 | 44 | 57 | 59 | 58 | 65 | 65 | 60 | 43 | 60 | 59 | 53 | 60 | 60 | 53 | 1 | 50 | 58 | 31 | 975,000$/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 | |||
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$/3yrs | |||
Ty Glover | 0 | C | 100.00 | 64 | 42 | 71 | 62 | 67 | 63 | 60 | 57 | 46 | 52 | 52 | 58 | 57 | 52 | 50 | 1 | 50 | 57 | 24 | 975,000$/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 | |||
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$/1yrs | |||
Alec Regula | 0 | D | 100.00 | 61 | 42 | 57 | 57 | 63 | 57 | 55 | 55 | 40 | 54 | 52 | 61 | 55 | 51 | 50 | 1 | 50 | 57 | 24 | 1,400,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Joel Blomqvist | 0 | 99.00 | 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 | Nikita Alexandrov | Marlies (TOR) | C/LW/RW | 17 | 7 | 5 | 12 | 1 | 2 | 0 | 23 | 41 | 15 | 27 | 17.07% | 2 | 18.37 | 0 | 2 | 2 | 0 | 0 | 0 | 17 | 3 | 2 | 54.80% | 1 | 0 | 0.71 | 0 | 0 | 0.77 | |||
| 2 | Hendrix Lapierre | Marlies (TOR) | C/RW | 17 | 3 | 9 | 12 | -3 | 0 | 0 | 30 | 48 | 17 | 36 | 6.25% | 6 | 17.88 | 1 | 3 | 4 | 0 | 0 | 0 | 9 | 0 | 0 | 52.15% | 0 | 0 | 0.71 | 0 | 0 | 0.74 | |||
| 3 | Brett Seney | Marlies (TOR) | LW | 17 | 2 | 4 | 6 | 2 | 0 | 0 | 22 | 33 | 18 | 22 | 6.06% | 0 | 17.27 | 0 | 1 | 1 | 0 | 0 | 0 | 7 | 0 | 1 | 60.00% | 0 | 0 | 0.35 | 0 | 0 | 0.50 | |||
| 4 | Blake Wheeler | Marlies (TOR) | RW | 17 | 3 | 3 | 6 | -1 | 9 | 5 | 25 | 53 | 7 | 22 | 5.66% | 4 | 20.32 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 2 | 1 | 81.25% | 0 | 0 | 0.35 | 0 | 0 | 0.44 | |||
| 5 | Jani Nyman | Marlies (TOR) | RW | 9 | 5 | 1 | 6 | 4 | 6 | 0 | 8 | 23 | 8 | 16 | 21.74% | 1 | 12.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.67 | 0 | 0 | 0.79 | |||
| 6 | Jujhar Khaira | Marlies (TOR) | C | 17 | 1 | 5 | 6 | 4 | 0 | 0 | 26 | 29 | 13 | 10 | 3.45% | 6 | 14.03 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 63.28% | 0 | 0 | 0.35 | 0 | 0 | 0.53 | |||
| 7 | Jake Lucchini | Marlies (TOR) | C | 17 | 4 | 1 | 5 | 2 | 2 | 0 | 21 | 40 | 14 | 27 | 10.00% | 5 | 15.84 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 1 | 0 | 44.44% | 0 | 0 | 0.29 | 0 | 0 | 0.48 | |||
| 8 | Ronnie Attard | Marlies (TOR) | D | 17 | 1 | 4 | 5 | -2 | 4 | 0 | 27 | 21 | 13 | 7 | 4.76% | 13 | 24.48 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.28 | |||
| 9 | Georgii Merkulov | Marlies (TOR) | C | 17 | 4 | 1 | 5 | 0 | 2 | 0 | 20 | 41 | 9 | 18 | 9.76% | 7 | 17.72 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 40.00% | 0 | 0 | 0.29 | 0 | 0 | 0.44 | |||
| 10 | Patrick Brown | Marlies (TOR) | C/LW/RW | 17 | 1 | 3 | 4 | -3 | 2 | 0 | 20 | 54 | 9 | 26 | 1.85% | 7 | 17.23 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 73.33% | 0 | 0 | 0.24 | 0 | 0 | 0.40 | |||
| 11 | Ryan Greene | Marlies (TOR) | C | 17 | 1 | 3 | 4 | 4 | 7 | 5 | 16 | 26 | 9 | 15 | 3.85% | 0 | 12.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.24 | 0 | 0 | 0.32 | |||
| 12 | Vincent Iorio | Marlies (TOR) | D | 17 | 1 | 3 | 4 | 0 | 0 | 0 | 19 | 21 | 8 | 10 | 4.76% | 14 | 21.06 | 1 | 0 | 1 | 0 | 0 | 0 | 19 | 0 | 0 | 0.00% | 0 | 0 | 0.24 | 0 | 0 | 0.32 | |||
| 13 | Scooter Brickey | Marlies (TOR) | D | 17 | 0 | 3 | 3 | 5 | 2 | 0 | 21 | 15 | 6 | 3 | 0.00% | 12 | 16.32 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.32 | |||
| 14 | William Wallinder | Marlies (TOR) | D | 17 | 1 | 2 | 3 | 1 | 2 | 0 | 17 | 9 | 6 | 4 | 11.11% | 13 | 19.41 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 1 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.22 | |||
| 15 | Tommy Miller | Marlies (TOR) | D | 17 | 0 | 3 | 3 | 5 | 0 | 0 | 10 | 9 | 2 | 2 | 0.00% | 14 | 18.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.30 | |||
| 16 | Dominic Toninato | Marlies (TOR) | C/RW | 17 | 1 | 1 | 2 | 1 | 4 | 0 | 20 | 12 | 5 | 6 | 8.33% | 3 | 14.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 66.67% | 0 | 0 | 0.12 | 0 | 0 | 0.14 | |||
| 17 | Ville Koivunen | Marlies (TOR) | RW | 17 | 0 | 1 | 1 | 1 | 2 | 0 | 10 | 23 | 3 | 9 | 0.00% | 1 | 7.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.06 | 0 | 0 | 0.15 | |||
| 18 | Mason Jobst | Marlies (TOR) | C | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 1.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 19 | Dillon Heatherington | Marlies (TOR) | D | 17 | 0 | 0 | 0 | -1 | 2 | 0 | 27 | 14 | 4 | 9 | 0.00% | 22 | 21.67 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.11 | |||
| Team Total or Average | 306 | 35 | 52 | 87 | 20 | 46 | 10 | 363 | 512 | 166 | 269 | 6.84% | 130 | 16.75 | 5 | 7 | 12 | 378 | 0 | 0 | 0 | 130 | 12 | 6 | 54.12% | 789 | 122 | 75 | 1 | 0 | 0.34 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Joel Blomqvist | Marlies (TOR) | 17 | 12 | 5 | 0 | 0.917 | 1.57 | 1031 | 0 | 3 | 27 | 327 | 172 | 0 | 0 | 0.000 | 0 | 17 | 0 | 2 | 1 | 0 |
| Team Total or Average | 17 | 12 | 5 | 0 | 0.917 | 1.57 | 1031 | 0 | 3 | 27 | 327 | 172 | 0 | 0 | 0.000 | 0 | 17 | 0 | 2 | 1 | 0 |
| 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 | Americans | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 8 | 0.800 | 11 | 16 | 27 | 0 | 1 | 4 | 12 | 15 | 4 | 173 | 124 | 200 | 173 | 15 | 94 | 33 | 19 | 123 | 15 | 2 | 13.33% | 7 | 0 | 100.00% | 0 | 177 | 340 | 52.06% | 136 | 253 | 53.75% | 114 | 196 | 58.16% | 345 | 172 | 303 | 177 | 382 | 183 | 56.3% | 6.4% | 92.6% | 98.9 | DULL |
| 2 | Wolves | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 11 | 5 | 8 | 0.800 | 16 | 24 | 40 | 0 | 0 | 4 | 12 | 15 | 4 | 180 | 124 | 200 | 173 | 15 | 127 | 53 | 14 | 108 | 13 | 2 | 15.38% | 7 | 0 | 100.00% | 0 | 177 | 340 | 52.06% | 136 | 253 | 53.75% | 114 | 196 | 58.16% | 345 | 172 | 303 | 177 | 382 | 183 | 56.0% | 8.9% | 91.3% | 100.2 | Unlucky |
| 3 | Monsters | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 8 | 0.667 | 7 | 10 | 17 | 0 | 2 | 4 | 12 | 15 | 4 | 123 | 124 | 200 | 173 | 15 | 69 | 27 | 6 | 115 | 13 | 1 | 7.69% | 3 | 0 | 100.00% | 0 | 177 | 340 | 52.06% | 136 | 253 | 53.75% | 114 | 196 | 58.16% | 345 | 172 | 303 | 177 | 382 | 183 | 50.0% | 5.7% | 91.3% | 97.0 | DULL |
| 4 | Thunderbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 4 | 12 | 15 | 4 | 36 | 124 | 200 | 173 | 15 | 37 | 17 | 7 | 17 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 177 | 340 | 52.06% | 136 | 253 | 53.75% | 114 | 196 | 58.16% | 345 | 172 | 303 | 177 | 382 | 183 | 33.3% | 2.8% | 91.9% | 94.7 | DULL |
| _Vs Division | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 23 | 17 | 6 | 16 | 0.727 | 23 | 34 | 57 | 0 | 2 | 4 | 12 | 15 | 4 | 303 | 124 | 200 | 173 | 15 | 196 | 80 | 20 | 223 | 26 | 3 | 11.54% | 10 | 0 | 100.00% | 0 | 177 | 340 | 52.06% | 136 | 253 | 53.75% | 114 | 196 | 58.16% | 345 | 172 | 303 | 177 | 382 | 183 | 54.1% | 7.6% | 91.3% | 98.9 | DULL | |
| _Vs Conference | 16 | 12 | 4 | 0 | 0 | 0 | 0 | 0 | 34 | 24 | 10 | 24 | 0.750 | 34 | 50 | 84 | 0 | 3 | 4 | 12 | 15 | 4 | 476 | 124 | 200 | 173 | 15 | 290 | 113 | 39 | 346 | 41 | 5 | 12.20% | 17 | 0 | 100.00% | 0 | 177 | 340 | 52.06% | 136 | 253 | 53.75% | 114 | 196 | 58.16% | 345 | 172 | 303 | 177 | 382 | 183 | 54.7% | 7.1% | 91.7% | 98.9 | DULL | |
| _Since Last GM Reset | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 35 | 27 | 8 | 24 | 0.706 | 35 | 52 | 87 | 0 | 3 | 4 | 12 | 15 | 4 | 512 | 124 | 200 | 173 | 15 | 327 | 130 | 46 | 363 | 42 | 5 | 11.90% | 18 | 1 | 94.44% | 0 | 177 | 340 | 52.06% | 136 | 253 | 53.75% | 114 | 196 | 58.16% | 345 | 172 | 303 | 177 | 382 | 183 | 53.6% | 6.8% | 91.7% | 98.6 | DULL | |
| Total | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 35 | 27 | 8 | 24 | 0.706 | 35 | 52 | 87 | 0 | 3 | 4 | 12 | 15 | 4 | 512 | 124 | 200 | 173 | 15 | 327 | 130 | 46 | 363 | 42 | 5 | 11.90% | 18 | 1 | 94.44% | 0 | 177 | 340 | 52.06% | 136 | 253 | 53.75% | 114 | 196 | 58.16% | 345 | 172 | 303 | 177 | 382 | 183 | 53.6% | 6.8% | 91.7% | 98.6 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 20 |
| Neutral Zone | 22 |
| Defensive Zone | 17 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 340 |
| Neutral Zone Start | 196 |
| Defensive Zone Start | 253 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 427 |
| Faceoffs Lost | 362 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 7.3 | 9.57 |
| 2nd Period | 19.1 | 20.31 |
| 3rd Period | 29.2 | 30.68 |
| Overtime | 30.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.2 | 0.64 |
| 2nd Period | 0.9 | 1.65 |
| 3rd Period | 1.8 | 2.67 |
| Overtime | 2.1 | 2.83 |
| Even Strenght Goal | 30 |
|---|---|
| PP Goal | 5 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 6 | 6 |
| Lost | 4 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 42 |
|---|---|
| PP Goal | 5 |
| PK Attempt | 18 |
| PK Goal Against | 1 |
| Home | |
|---|---|
| Shots For | 30.1 |
| Shots Against | 19.2 |
| Goals For | 2.1 |
| Goals Against | 1.6 |
| Hits | 21.4 |
| Shots Blocked | 7.6 |
| Pim | 2.7 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | CLB | @ | TOR | CLB0,TOR1 (OT) | RECAP | |||||||||
| Thu, Oct 9 | CLB | @ | TOR | CLB2,TOR0 | RECAP | |||||||||
| Fri, Oct 10 | TOR | @ | CLB | TOR1,CLB2 | RECAP | |||||||||
| Sat, Oct 11 | TOR | @ | CLB | TOR1,CLB0 | RECAP | |||||||||
| Sun, Oct 12 | CLB | @ | TOR | CLB1,TOR2 (OT) | RECAP | |||||||||
| Mon, Oct 13 | TOR | @ | CLB | TOR2,CLB1 (OT) | RECAP | |||||||||
| Wed, Oct 15 | BUF | @ | TOR | BUF1,TOR2 | RECAP | |||||||||
| Thu, Oct 16 | BUF | @ | TOR | BUF3,TOR1 | RECAP | |||||||||
| Fri, Oct 17 | TOR | @ | BUF | TOR3,BUF2 (OT) | RECAP | |||||||||
| Sat, Oct 18 | TOR | @ | BUF | TOR2,BUF0 | RECAP | |||||||||
| Sun, Oct 19 | BUF | @ | TOR | BUF1,TOR3 | RECAP | |||||||||
| Wed, Oct 22 | CAR | @ | TOR | CAR2,TOR4 | RECAP | |||||||||
| Thu, Oct 23 | CAR | @ | TOR | CAR3,TOR1 | RECAP | |||||||||
| Fri, Oct 24 | TOR | @ | CAR | TOR3,CAR2 | RECAP | |||||||||
| Sat, Oct 25 | TOR | @ | CAR | TOR5,CAR3 | RECAP | |||||||||
| Sun, Oct 26 | CAR | @ | TOR | CAR1,TOR3 | RECAP | |||||||||
| Wed, Oct 29 | STL | @ | TOR | STL3,TOR1 | RECAP | |||||||||
| Thu, Oct 30 | STL | @ | TOR | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Fri, Oct 31 | TOR | @ | STL | |||||||||||
| Sat, Nov 1 | TOR | @ | STL | |||||||||||
| Sun, Nov 2 | STL | @ | TOR | |||||||||||
| Mon, Nov 3 | TOR | @ | STL | |||||||||||
| Tue, Nov 4 | STL | @ | TOR | |||||||||||
| 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 |
| 31 | 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 |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 6 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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