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Full Scoreboard »» |
Toronto Marlies 15-8-0, 30pts · 4th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Saku Maenalanen | 0 | LW/RW | 97.04 | 77 | 44 | 80 | 69 | 79 | 76 | 78 | 69 | 40 | 65 | 63 | 70 | 67 | 66 | 57 | 1 | 50 | 67 | 29 | 975,000$/2yrs | |||
Jonah Gadjovich | 0 | LW/RW | 100.00 | 82 | 81 | 57 | 72 | 86 | 77 | 71 | 69 | 40 | 63 | 62 | 66 | 68 | 59 | 52 | 1 | 50 | 66 | 24 | 1,150,000$/2yrs | |||
Dominic Toninato (A) | 0 | C/LW | 100.00 | 66 | 43 | 74 | 70 | 68 | 71 | 73 | 66 | 61 | 62 | 62 | 66 | 66 | 63 | 53 | 1 | 50 | 64 | 29 | 1,250,000$/1yrs | |||
Nikita Alexandrov (A) | 0 | C | 100.00 | 65 | 45 | 77 | 74 | 73 | 74 | 64 | 67 | 59 | 63 | 61 | 64 | 67 | 51 | 50 | 1 | 50 | 64 | 22 | 975,000$/2yrs | |||
Greg McKegg | 0 | C/LW | 100.00 | 62 | 44 | 70 | 67 | 66 | 73 | 75 | 62 | 60 | 60 | 56 | 64 | 62 | 70 | 60 | 1 | 50 | 63 | 31 | 1,000,000$/1yrs | |||
Brett Seney | 0 | C/LW | 100.00 | 53 | 51 | 61 | 73 | 51 | 67 | 67 | 66 | 61 | 65 | 61 | 62 | 67 | 55 | 50 | 1 | 50 | 62 | 27 | 975,000$/1yrs | |||
Brad Richardson (C) | 0 | C | 100.00 | 63 | 43 | 58 | 63 | 62 | 69 | 76 | 59 | 77 | 55 | 55 | 61 | 59 | 92 | 79 | 1 | 50 | 62 | 38 | 1,000,000$/1yrs | |||
Kyle Criscuolo | 0 | C | 100.00 | 51 | 47 | 69 | 67 | 55 | 71 | 71 | 64 | 57 | 59 | 59 | 50 | 63 | 65 | 58 | 1 | 50 | 60 | 31 | 975,000$/1yrs | |||
Brett Sutter | 0 | LW | 100.00 | 54 | 48 | 65 | 63 | 61 | 68 | 69 | 62 | 46 | 59 | 56 | 57 | 60 | 75 | 71 | 1 | 50 | 60 | 36 | 975,000$/2yrs | |||
Filip Cederqvist (R) | 0 | LW/RW | 100.00 | 63 | 44 | 67 | 64 | 65 | 62 | 62 | 60 | 41 | 57 | 56 | 60 | 60 | 50 | 50 | 1 | 50 | 59 | 22 | 950,000$/4yrs | |||
Jermaine Loewen | 0 | RW | 100.00 | 65 | 68 | 56 | 59 | 71 | 65 | 64 | 58 | 40 | 52 | 52 | 58 | 56 | 53 | 50 | 1 | 50 | 57 | 25 | 950,000$/1yrs | |||
Jaydon Dureau (R) | 0 | LW | 100.00 | 58 | 40 | 68 | 66 | 59 | 59 | 57 | 56 | 40 | 54 | 54 | 55 | 58 | 50 | 50 | 1 | 50 | 56 | 22 | 950,000$/4yrs | |||
Ronnie Attard | 0 | D | 100.00 | 65 | 47 | 68 | 71 | 74 | 70 | 63 | 67 | 40 | 62 | 62 | 69 | 67 | 52 | 50 | 1 | 50 | 65 | 24 | 975,000$/2yrs | |||
Lassi Thomson | 0 | D | 100.00 | 60 | 47 | 66 | 71 | 64 | 63 | 61 | 64 | 40 | 62 | 57 | 67 | 64 | 50 | 50 | 1 | 50 | 62 | 22 | 1,350,000$/3yrs | |||
Dillon Heatherington | 0 | D | 100.00 | 67 | 51 | 63 | 62 | 71 | 68 | 67 | 61 | 40 | 56 | 53 | 68 | 59 | 57 | 53 | 1 | 50 | 62 | 28 | 1,000,000$/1yrs | |||
Andy Welinski | 0 | D | 100.00 | 56 | 45 | 69 | 64 | 64 | 69 | 68 | 62 | 40 | 60 | 54 | 60 | 60 | 64 | 54 | 1 | 50 | 61 | 30 | 1,100,000$/2yrs | |||
Ryan Merkley | 0 | D | 100.00 | 54 | 44 | 67 | 71 | 64 | 68 | 63 | 65 | 40 | 63 | 55 | 61 | 64 | 51 | 50 | 1 | 50 | 61 | 22 | 975,000$/2yrs | |||
Michael Vukojevic | 0 | D | 100.00 | 66 | 50 | 67 | 63 | 71 | 61 | 59 | 58 | 40 | 53 | 52 | 62 | 58 | 50 | 50 | 1 | 50 | 59 | 22 | 1,250,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
C.J. Smith | 0 | LW | 100.00 | 54 | 44 | 71 | 65 | 60 | 67 | 65 | 60 | 41 | 55 | 55 | 53 | 60 | 57 | 50 | 1 | 50 | 57 | 28 | ||||
Mitchell Heard | 0 | C | 100.00 | 59 | 44 | 62 | 60 | 62 | 66 | 64 | 56 | 47 | 54 | 54 | 58 | 57 | 61 | 54 | 1 | 50 | 57 | 31 | 975,000$/1yrs | |||
Nolan Yaremko | 0 | LW | 100.00 | 61 | 47 | 68 | 62 | 64 | 61 | 59 | 57 | 40 | 54 | 54 | 58 | 57 | 52 | 50 | 1 | 50 | 57 | 25 | 975,000$/1yrs | |||
Ty Glover | 0 | C | 100.00 | 63 | 44 | 69 | 62 | 66 | 61 | 61 | 59 | 51 | 54 | 55 | 57 | 59 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/1yrs | |||
Sean Josling | 0 | RW | 100.00 | 58 | 47 | 62 | 62 | 61 | 60 | 59 | 56 | 40 | 53 | 53 | 54 | 57 | 51 | 50 | 1 | 50 | 55 | 24 | 975,000$/1yrs | |||
Ville Koivunen (R) | 0 | RW | 100.00 | 56 | 40 | 68 | 66 | 57 | 54 | 53 | 56 | 47 | 53 | 54 | 54 | 59 | 50 | 50 | 1 | 50 | 55 | 20 | 950,000$/4yrs | |||
Alec Regula | 0 | D | 87.85 | 66 | 51 | 58 | 67 | 69 | 61 | 60 | 63 | 40 | 61 | 55 | 67 | 62 | 50 | 50 | 1 | 50 | 62 | 22 | 1,400,000$/3yrs | |||
Tommy Miller | 0 | D | 100.00 | 60 | 40 | 69 | 68 | 62 | 60 | 60 | 58 | 40 | 55 | 53 | 65 | 59 | 51 | 50 | 1 | 50 | 60 | 24 | 975,000$/1yrs | |||
Nick Albano | 0 | D | 100.00 | 56 | 44 | 65 | 67 | 62 | 63 | 60 | 53 | 40 | 50 | 50 | 61 | 56 | 54 | 50 | 1 | 50 | 58 | 26 | 975,000$/1yrs | |||
Tyson Feist | 0 | D | 100.00 | 63 | 40 | 68 | 62 | 67 | 59 | 57 | 54 | 40 | 53 | 53 | 61 | 56 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
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Arturs Silovs | 0 | 100.00 | 68 | 61 | 63 | 69 | 68 | 69 | 71 | 69 | 70 | 66 | 59 | 50 | 50 | 1 | 50 | 62 | 22 | 1,100,000$/4yrs |
Jiri Patera | 0 | 100.00 | 70 | 63 | 63 | 69 | 68 | 68 | 70 | 68 | 68 | 67 | 57 | 52 | 50 | 1 | 50 | 62 | 24 | 1,000,000$/4yrs |
Scratches | ||||||||||||||||||||
Victor Brattstrom | 0 | 100.00 | 66 | 63 | 62 | 68 | 65 | 64 | 64 | 61 | 64 | 64 | 56 | 54 | 50 | 1 | 50 | 59 | 26 | 975,000$/2yrs |
Pat Nagle | 0 | 100.00 | 60 | 64 | 58 | 64 | 62 | 60 | 60 | 56 | 62 | 60 | 64 | 74 | 67 | 1 | 50 | 57 | 35 | 975,000$/1yrs |
Joel Blomqvist | 0 | 100.00 | 59 | 57 | 57 | 64 | 58 | 55 | 54 | 53 | 54 | 58 | 53 | 50 | 50 | 1 | 50 | 53 | 21 | 975,000$/2yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jim Montgomery | 84 | 90 | 89 | 79 | 78 | 86 | 1 | CAN | 53 | 3 | 800,000$ |
General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonah Gadjovich | Marlies (TOR) | LW/RW | 23 | 10 | 11 | 21 | 0 | 66 | 40 | 74 | 74 | 27 | 45 | 13.51% | 12 | 18.35 | 2 | 3 | 5 | 0 | 0 | 0 | 11 | 3 | 0 | 62.07% | 1 | 0 | 0.91 | 0 | 0 | 0.54 | |||
2 | Dominic Toninato | Marlies (TOR) | C/LW | 23 | 9 | 11 | 20 | -2 | 15 | 15 | 30 | 63 | 17 | 33 | 14.29% | 14 | 18.72 | 1 | 2 | 3 | 0 | 0 | 0 | 20 | 1 | 1 | 53.67% | 1 | 0 | 0.87 | 0 | 0 | 0.75 | |||
3 | Saku Maenalanen | Marlies (TOR) | LW/RW | 22 | 6 | 11 | 17 | 0 | 2 | 0 | 46 | 55 | 30 | 64 | 10.91% | 16 | 21.42 | 1 | 3 | 4 | 0 | 0 | 0 | 33 | 1 | 0 | 47.83% | 0 | 0 | 0.77 | 0 | 0 | 0.86 | |||
4 | Nikita Alexandrov | Marlies (TOR) | C | 23 | 5 | 11 | 16 | -5 | 19 | 15 | 32 | 76 | 26 | 48 | 6.58% | 4 | 18.96 | 1 | 4 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 51.69% | 0 | 0 | 0.70 | 0 | 0 | 0.60 | |||
5 | Brett Seney | Marlies (TOR) | C/LW | 23 | 7 | 7 | 14 | 3 | 45 | 15 | 32 | 65 | 16 | 41 | 10.77% | 12 | 17.76 | 1 | 3 | 4 | 0 | 0 | 0 | 14 | 2 | 1 | 47.62% | 0 | 0 | 0.61 | 0 | 0 | 0.43 | |||
6 | Kyle Criscuolo | Marlies (TOR) | C | 23 | 4 | 9 | 13 | 3 | 0 | 0 | 14 | 52 | 20 | 25 | 7.69% | 5 | 12.03 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 57.98% | 0 | 0 | 0.57 | 0 | 0 | 0.66 | |||
7 | Ronnie Attard | Marlies (TOR) | D | 23 | 3 | 9 | 12 | -2 | 35 | 15 | 35 | 40 | 22 | 16 | 7.50% | 31 | 24.88 | 2 | 2 | 4 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.29 | |||
8 | Brad Richardson | Marlies (TOR) | C | 23 | 2 | 9 | 11 | 4 | 2 | 0 | 33 | 38 | 19 | 22 | 5.26% | 8 | 15.65 | 0 | 1 | 1 | 0 | 0 | 0 | 39 | 0 | 0 | 61.40% | 0 | 0 | 0.48 | 0 | 0 | 0.57 | |||
9 | Greg McKegg | Marlies (TOR) | C/LW | 23 | 5 | 6 | 11 | 1 | 0 | 0 | 26 | 35 | 15 | 25 | 14.29% | 8 | 12.70 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 1 | 1 | 62.50% | 0 | 0 | 0.48 | 0 | 0 | 0.53 | |||
10 | Filip Cederqvist | Marlies (TOR) | LW/RW | 23 | 5 | 6 | 11 | 1 | 5 | 5 | 40 | 62 | 13 | 34 | 8.06% | 10 | 15.47 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 37.50% | 0 | 0 | 0.48 | 0 | 0 | 0.59 | |||
11 | Ryan Merkley | Marlies (TOR) | D | 23 | 2 | 8 | 10 | 1 | 23 | 5 | 21 | 29 | 15 | 9 | 6.90% | 19 | 20.36 | 1 | 1 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.28 | |||
12 | Jaydon Dureau | Marlies (TOR) | LW | 17 | 4 | 4 | 8 | 1 | 0 | 0 | 18 | 35 | 6 | 17 | 11.43% | 2 | 12.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 63.64% | 0 | 0 | 0.47 | 0 | 0 | 0.56 | |||
13 | Jermaine Loewen | Marlies (TOR) | RW | 17 | 4 | 2 | 6 | 6 | 4 | 0 | 27 | 14 | 4 | 5 | 28.57% | 3 | 11.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 100.00% | 0 | 0 | 0.35 | 0 | 0 | 0.44 | |||
14 | Andy Welinski | Marlies (TOR) | D | 19 | 1 | 4 | 5 | 6 | 26 | 10 | 23 | 16 | 7 | 13 | 6.25% | 19 | 18.31 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.26 | 0 | 0 | 0.18 | |||
15 | Brett Sutter | Marlies (TOR) | LW | 23 | 2 | 3 | 5 | 3 | 36 | 20 | 21 | 22 | 7 | 18 | 9.09% | 9 | 14.19 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 33.33% | 0 | 0 | 0.22 | 0 | 0 | 0.04 | |||
16 | Tommy Miller | Marlies (TOR) | D | 14 | 0 | 5 | 5 | 3 | 10 | 10 | 10 | 11 | 5 | 3 | 0.00% | 21 | 20.72 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0.00% | 0 | 0 | 0.36 | 0 | 0 | 0.32 | |||
17 | Alec Regula | Marlies (TOR) | D | 15 | 1 | 3 | 4 | 5 | 41 | 15 | 20 | 14 | 3 | 3 | 7.14% | 21 | 20.94 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | -0.03 | |||
18 | Lassi Thomson | Marlies (TOR) | D | 11 | 1 | 1 | 2 | 1 | 4 | 0 | 4 | 11 | 5 | 4 | 9.09% | 14 | 18.68 | 1 | 1 | 2 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.18 | 0 | 0 | 0.23 | |||
19 | Michael Vukojevic | Marlies (TOR) | D | 14 | 0 | 1 | 1 | -3 | 24 | 20 | 21 | 7 | 5 | 4 | 0.00% | 4 | 16.45 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | -0.26 | |||
20 | Dillon Heatherington | Marlies (TOR) | D | 21 | 1 | 0 | 1 | -3 | 14 | 10 | 48 | 19 | 9 | 12 | 5.26% | 23 | 19.82 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | 0.04 | |||
21 | Nick Albano | Marlies (TOR) | D | 6 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.12 | |||
22 | Mitchell Heard | Marlies (TOR) | C | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
23 | Tyson Feist | Marlies (TOR) | D | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
24 | Ville Koivunen | Marlies (TOR) | RW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 0.00% | 1 | 11.87 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.27 | |||
Team Total or Average | 414 | 72 | 121 | 193 | 25 | 371 | 195 | 576 | 740 | 273 | 441 | 9.73% | 256 | 17.06 | 11 | 21 | 32 | 506 | 0 | 0 | 0 | 280 | 15 | 4 | 54.61% | 1346 | 169 | 148 | 2 | 0 | 0.55 | 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 | Arturs Silovs | Marlies (TOR) | 23 | 15 | 7 | 0 | 0.907 | 2.78 | 1358 | 0 | 1 | 63 | 678 | 353 | 1 | 0 | 0.000 | 0 | 23 | 0 | 3 | 0 | 1 |
2 | Jiri Patera | Marlies (TOR) | 2 | 0 | 1 | 0 | 0.818 | 5.37 | 67 | 0 | 0 | 6 | 33 | 18 | 0 | 0 | 0.000 | 0 | 0 | 23 | 0 | 0 | 0 |
Team Total or Average | 25 | 15 | 8 | 0 | 0.903 | 2.90 | 1426 | 0 | 1 | 69 | 711 | 371 | 1 | 0 | 0.000 | 0 | 23 | 23 | 3 | 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 | 22 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | RFA | ||||
Andy Welinski | D | 30 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
Arturs Silovs | G | 22 | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||
Brad Richardson | C | 38 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Brett Seney | C/LW | 27 | 975,000$ | 975,000$ | UFA | ||||||
Brett Sutter | LW | 36 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
C.J. Smith | LW | 28 | 0$ | UFA | |||||||
Dillon Heatherington | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Dominic Toninato | C/LW | 29 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Filip Cederqvist | LW/RW | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | |||
Greg McKegg | C/LW | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Jaydon Dureau | LW | 22 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | |||
Jermaine Loewen | RW | 25 | 950,000$ | 950,000$ | RFA | ||||||
Jiri Patera | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||
Joel Blomqvist | G | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Jonah Gadjovich | LW/RW | 24 | 1,150,000$ | 1,150,000$ | 1,150,000$ | RFA | |||||
Kyle Criscuolo | C | 31 | 975,000$ | 975,000$ | UFA | ||||||
Lassi Thomson | D | 22 | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | RFA | ||||
Michael Vukojevic | D | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | ||||
Mitchell Heard | C | 31 | 975,000$ | 975,000$ | UFA | ||||||
Nick Albano | D | 26 | 975,000$ | 975,000$ | UFA | ||||||
Nikita Alexandrov | C | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Nolan Yaremko | LW | 25 | 975,000$ | 975,000$ | RFA | ||||||
Pat Nagle | G | 35 | 975,000$ | 975,000$ | UFA | ||||||
Ronnie Attard | D | 24 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Ryan Merkley | D | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
Saku Maenalanen | LW/RW | 29 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Sean Josling | RW | 24 | 975,000$ | 975,000$ | RFA | ||||||
Tommy Miller | D | 24 | 975,000$ | 975,000$ | RFA | ||||||
Ty Glover | C | 22 | 975,000$ | 975,000$ | RFA | ||||||
Tyson Feist | D | 22 | 975,000$ | 975,000$ | RFA | ||||||
Victor Brattstrom | G | 26 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
Ville Koivunen | RW | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | Bruins | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 22 | 23 | -1 | 8 | 0.571 | 22 | 40 | 62 | 0 | 0 | 13 | 30 | 24 | 5 | 212 | 216 | 262 | 239 | 23 | 254 | 76 | 99 | 151 | 13 | 3 | 23.08% | 12 | 2 | 83.33% | 0 | 278 | 507 | 54.83% | 275 | 506 | 54.35% | 182 | 333 | 54.65% | 497 | 269 | 475 | 223 | 454 | 229 | 47.5% | 10.4% | 90.9% | 101.3 | FUN |
2 | Griffins | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 6 | 0.500 | 18 | 30 | 48 | 0 | 0 | 13 | 30 | 24 | 5 | 180 | 216 | 262 | 239 | 23 | 192 | 78 | 142 | 158 | 12 | 2 | 16.67% | 21 | 6 | 71.43% | 0 | 278 | 507 | 54.83% | 275 | 506 | 54.35% | 182 | 333 | 54.65% | 497 | 269 | 475 | 223 | 454 | 229 | 47.1% | 10.0% | 87.5% | 97.5 | FUN |
3 | Wolf Pack | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 8 | 1.000 | 9 | 14 | 23 | 0 | 1 | 13 | 30 | 24 | 5 | 145 | 216 | 262 | 239 | 23 | 69 | 25 | 40 | 110 | 17 | 1 | 5.88% | 5 | 1 | 80.00% | 0 | 278 | 507 | 54.83% | 275 | 506 | 54.35% | 182 | 333 | 54.65% | 497 | 269 | 475 | 223 | 454 | 229 | 72.7% | 6.2% | 94.2% | 100.4 | DULL |
4 | Penguins | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 18 | 5 | 8 | 0.667 | 23 | 37 | 60 | 0 | 0 | 13 | 30 | 24 | 5 | 203 | 216 | 262 | 239 | 23 | 196 | 77 | 90 | 157 | 18 | 5 | 27.78% | 10 | 4 | 60.00% | 0 | 278 | 507 | 54.83% | 275 | 506 | 54.35% | 182 | 333 | 54.65% | 497 | 269 | 475 | 223 | 454 | 229 | 56.3% | 11.3% | 90.8% | 102.1 | FUN |
_Vs Division | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 22 | 10 | 0 | 0.000 | 32 | 51 | 83 | 0 | 1 | 13 | 30 | 24 | 5 | 348 | 216 | 262 | 239 | 23 | 265 | 102 | 130 | 267 | 35 | 6 | 17.14% | 15 | 5 | 66.67% | 0 | 278 | 507 | 54.83% | 275 | 506 | 54.35% | 182 | 333 | 54.65% | 497 | 269 | 475 | 223 | 454 | 229 | 60.5% | 9.2% | 91.7% | 100.9 | LUCKY | |
_Vs Conference | 17 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 54 | 45 | 9 | 24 | 0.706 | 54 | 91 | 145 | 0 | 1 | 13 | 30 | 24 | 5 | 560 | 216 | 262 | 239 | 23 | 519 | 178 | 229 | 418 | 48 | 9 | 18.75% | 27 | 7 | 74.07% | 0 | 278 | 507 | 54.83% | 275 | 506 | 54.35% | 182 | 333 | 54.65% | 497 | 269 | 475 | 223 | 454 | 229 | 54.2% | 9.6% | 91.3% | 101.0 | LUCKY | |
_Since Last GM Reset | 23 | 15 | 8 | 0 | 0 | 0 | 0 | 0 | 72 | 69 | 3 | 30 | 0.652 | 72 | 121 | 193 | 0 | 1 | 13 | 30 | 24 | 5 | 740 | 216 | 262 | 239 | 23 | 711 | 256 | 371 | 576 | 60 | 11 | 18.33% | 48 | 13 | 72.92% | 0 | 278 | 507 | 54.83% | 275 | 506 | 54.35% | 182 | 333 | 54.65% | 497 | 269 | 475 | 223 | 454 | 229 | 52.1% | 9.7% | 90.3% | 100.0 | FUN | |
Total | 23 | 15 | 8 | 0 | 0 | 0 | 0 | 0 | 72 | 69 | 3 | 30 | 0.652 | 72 | 121 | 193 | 0 | 1 | 13 | 30 | 24 | 5 | 740 | 216 | 262 | 239 | 23 | 711 | 256 | 371 | 576 | 60 | 11 | 18.33% | 48 | 13 | 72.92% | 0 | 278 | 507 | 54.83% | 275 | 506 | 54.35% | 182 | 333 | 54.65% | 497 | 269 | 475 | 223 | 454 | 229 | 52.1% | 9.7% | 90.3% | 100.0 | FUN |
Puck Time | |
---|---|
Offensive Zone | 21 |
Neutral Zone | 19 |
Defensive Zone | 20 |
Puck Time | |
---|---|
Offensive Zone Start | 507 |
Neutral Zone Start | 333 |
Defensive Zone Start | 506 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 735 |
Faceoffs Lost | 611 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 20.8 | 20.31 |
3rd Period | 31.2 | 30.68 |
Overtime | 32.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.6 | 0.64 |
2nd Period | 1.9 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.1 | 2.83 |
Even Strenght Goal | 61 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 8 |
Lost | 5 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 60 |
---|---|
PP Goal | 11 |
PK Attempt | 48 |
PK Goal Against | 13 |
Home | |
---|---|
Shots For | 32.2 |
Shots Against | 30.9 |
Goals For | 3.1 |
Goals Against | 3.0 |
Hits | 25.0 |
Shots Blocked | 11.1 |
Pim | 16.1 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Sun, Sep 10 | NYR | @ | TOR | NYR1,TOR2 | RECAP | |||||||||
Mon, Sep 11 | NYR | @ | TOR | NYR0,TOR2 | RECAP | |||||||||
Tue, Sep 12 | TOR | @ | NYR | TOR2,NYR1 (OT) | RECAP | |||||||||
Wed, Sep 13 | TOR | @ | NYR | TOR3,NYR2 | RECAP | |||||||||
Sun, Sep 17 | PIT | @ | TOR | PIT3,TOR5 | RECAP | |||||||||
Mon, Sep 18 | PIT | @ | TOR | PIT7,TOR4 | RECAP | |||||||||
Tue, Sep 19 | TOR | @ | PIT | TOR4,PIT5 | RECAP | |||||||||
Wed, Sep 20 | TOR | @ | PIT | TOR2,PIT1 | RECAP | |||||||||
Thu, Sep 21 | PIT | @ | TOR | PIT1,TOR4 | RECAP | |||||||||
Fri, Sep 22 | TOR | @ | PIT | TOR4,PIT1 | RECAP | |||||||||
Sun, Sep 24 | BOS | @ | TOR | BOS2,TOR1 | RECAP | |||||||||
Mon, Sep 25 | BOS | @ | TOR | BOS2,TOR3 | RECAP | |||||||||
Tue, Sep 26 | TOR | @ | BOS | TOR5,BOS4 (OT) | RECAP | |||||||||
Wed, Sep 27 | TOR | @ | BOS | TOR4,BOS3 (OT) | RECAP | |||||||||
Thu, Sep 28 | BOS | @ | TOR | BOS5,TOR1 | RECAP | |||||||||
Fri, Sep 29 | TOR | @ | BOS | TOR3,BOS4 | RECAP | |||||||||
Sat, Sep 30 | BOS | @ | TOR | BOS3,TOR5 | RECAP | |||||||||
Sun, Oct 1 | TOR | @ | DET | TOR4,DET2 | RECAP | |||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Mon, Oct 2 | TOR | @ | DET | TOR4,DET3 (OT) | RECAP | |||||||||
Tue, Oct 3 | DET | @ | TOR | DET9,TOR3 | RECAP | |||||||||
Wed, Oct 4 | DET | @ | TOR | DET3,TOR4 (OT) | RECAP | |||||||||
Thu, Oct 5 | TOR | @ | DET | TOR1,DET3 | RECAP | |||||||||
Fri, Oct 6 | DET | @ | TOR | DET4,TOR2 | RECAP | |||||||||
Sat, Oct 7 | TOR | @ | DET |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,297,500$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Toronto | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 28$ | 12$ | $ | $ | $ |
Attendance | 0 | 0 | |||
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,297,500$ | 3,297,500$ | 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$ | 1 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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