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Full Scoreboard ยป |
Toronto Maple Leafs 19-15-3, 41pts · 7th in Eastern Conference |
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 | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 87 | 28 | 67 | 90 | 80 | 91 | 91 | 96 | 31 | 92 | 92 | 44 | 25 | 74 | 74 | 68 | 60 | 78 | 25 | 11,500,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 65 | 33 | 70 | 82 | 71 | 83 | 95 | 94 | 71 | 87 | 90 | 64 | 81 | 49 | 49 | 86 | 60 | 76 | 23 | 2,250,000$/1yrs | |||
![]() | 73 | C/LW/RW | 100.00 | 75 | 34 | 63 | 83 | 75 | 70 | 67 | 99 | 73 | 92 | 92 | 63 | 81 | 53 | 53 | 82 | 60 | 76 | 23 | 9,250,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 43 | 1 | 90 | 84 | 76 | 90 | 90 | 84 | 94 | 85 | 85 | 69 | 36 | 78 | 80 | 73 | 60 | 76 | 29 | 9,750,000$/4yrs | |||
![]() | 0 | LW | 100.00 | 77 | 15 | 92 | 80 | 76 | 77 | 86 | 80 | 55 | 82 | 88 | 61 | 54 | 77 | 79 | 81 | 75 | 75 | 34 | 5,000,000$/1yrs | |||
![]() | 0 | C | 100.00 | 72 | 24 | 86 | 85 | 78 | 84 | 81 | 80 | 74 | 82 | 74 | 80 | 61 | 68 | 68 | 47 | 60 | 75 | 25 | 4,500,000$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 60 | 22 | 72 | 83 | 60 | 96 | 95 | 89 | 63 | 82 | 82 | 59 | 77 | 54 | 54 | 81 | 60 | 73 | 22 | 1,750,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 70 | 37 | 77 | 80 | 75 | 94 | 95 | 82 | 71 | 75 | 75 | 56 | 72 | 53 | 53 | 82 | 60 | 71 | 25 | 1,250,000$/2yrs | |||
![]() | 91 | C/RW | 100.00 | 63 | 35 | 94 | 86 | 67 | 74 | 85 | 67 | 45 | 77 | 84 | 68 | 70 | 60 | 60 | 79 | 60 | 71 | 21 | 894,167$/5yrs | |||
![]() | 0 | RW | 100.00 | 32 | 1 | 99 | 88 | 70 | 80 | 65 | 81 | 29 | 76 | 87 | 49 | 75 | 67 | 68 | 65 | 60 | 70 | 27 | 2,222,222$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 43 | 1 | 99 | 91 | 71 | 79 | 95 | 74 | 37 | 63 | 75 | 62 | 53 | 77 | 77 | 57 | 60 | 70 | 26 | 1,900,000$/3yrs | |||
![]() | 0 | C/RW | 100.00 | 36 | 9 | 99 | 78 | 74 | 75 | 90 | 72 | 69 | 70 | 62 | 62 | 62 | 55 | 55 | 77 | 60 | 66 | 24 | 875,000$/4yrs | |||
![]() | 24 | D | 97.00 | 54 | 28 | 99 | 85 | 67 | 95 | 93 | 99 | 25 | 90 | 60 | 89 | 25 | 67 | 68 | 61 | 60 | 78 | 25 | 12,100,000$/4yrs | |||
![]() | 0 | D | 100.00 | 80 | 30 | 96 | 78 | 80 | 82 | 92 | 59 | 25 | 65 | 48 | 85 | 25 | 60 | 61 | 65 | 75 | 72 | 31 | 3,000,000$/5yrs | |||
![]() | 0 | D | 98.00 | 68 | 30 | 66 | 80 | 65 | 76 | 95 | 81 | 28 | 85 | 60 | 79 | 50 | 55 | 55 | 80 | 60 | 72 | 23 | 4,000,000$/3yrs | |||
![]() | 0 | D | 100.00 | 90 | 59 | 62 | 67 | 78 | 82 | 80 | 61 | 25 | 54 | 52 | 88 | 25 | 73 | 74 | 55 | 60 | 72 | 34 | 975,000$/1yrs | |||
![]() | 47 | D | 100.00 | 85 | 11 | 87 | 75 | 79 | 81 | 68 | 58 | 25 | 46 | 47 | 83 | 25 | 69 | 70 | 58 | 60 | 70 | 31 | 1,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 30 | 1 | 99 | 87 | 71 | 90 | 81 | 64 | 22 | 58 | 51 | 84 | 25 | 69 | 69 | 50 | 60 | 69 | 25 | 1,250,000$/3yrs | |||
![]() | 0 | D | 100.00 | 63 | 33 | 80 | 78 | 73 | 61 | 75 | 70 | 31 | 72 | 57 | 73 | 55 | 59 | 59 | 75 | 45 | 67 | 24 | 1,200,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 56 | 37 | 84 | 73 | 81 | 80 | 71 | 68 | 50 | 60 | 66 | 53 | 53 | 59 | 59 | 43 | 20 | 63 | 26 | 975,000$/1yrs | |||
TEAM AVERAGE | 99.75 | 62 | 23 | 84 | 82 | 73 | 82 | 85 | 78 | 47 | 75 | 71 | 69 | 52 | 64 | 64 | 68 | 59 | 72 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 98.00 | 74 | 80 | 94 | 80 | 76 | 75 | 85 | 84 | 84 | 76 | 89 | 70 | 72 | 75 | 69 | 77 | 35 | 2,200,000$/1yrs |
![]() | 0 | 100.00 | 74 | 60 | 90 | 76 | 80 | 88 | 84 | 85 | 91 | 75 | 70 | 58 | 58 | 54 | 69 | 76 | 26 | 3,250,000$/4yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 74 | 70 | 92 | 78 | 78 | 82 | 85 | 85 | 88 | 76 | 80 | 64 | 65 | 65 | 69 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd Reirden | 82 | 73 | 98 | 70 | 73 | 73 | 68 | USA | 53 | 4 | 2,500,000$ |
General Manager | Chris Walsh |
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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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jan Jenik | 73 | C/LW/RW | 37 | 16 | 18 | 34 | 6 | 28 | 0 | 74 | 135 | 31 | 68 | 11.85% | 14 | 18.46 | 4 | 3 | 7 | 85 | 0 | 0 | 0 | 77 | 1 | 1 | 49.03% | 669 | 21 | 9 | 0 | 0 | 1.00 | 1 | 2 | |
2 | Matthew Tkachuk | 0 | LW/RW | 37 | 16 | 17 | 33 | 10 | 28 | 0 | 70 | 144 | 55 | 112 | 11.11% | 12 | 20.70 | 1 | 5 | 6 | 86 | 0 | 2 | 2 | 74 | 3 | 2 | 33.90% | 59 | 43 | 12 | 2 | 0 | 0.86 | 1 | 2 | |
3 | Tomas Hertl | 0 | C/LW | 37 | 15 | 17 | 32 | 11 | 0 | 0 | 22 | 104 | 28 | 46 | 14.42% | 19 | 20.99 | 4 | 4 | 8 | 87 | 1 | 0 | 1 | 88 | 3 | 2 | 57.17% | 983 | 24 | 19 | 0 | 0 | 0.82 | 0 | 2 | |
4 | Pavel Gogolev | 0 | LW | 37 | 11 | 19 | 30 | 3 | 22 | 0 | 44 | 129 | 36 | 66 | 8.53% | 18 | 17.11 | 3 | 0 | 3 | 87 | 0 | 0 | 0 | 30 | 2 | 1 | 57.89% | 38 | 30 | 9 | 0 | 0 | 0.95 | 0 | 2 | |
5 | Yauheni Aksiantsiuk | 0 | LW/RW | 37 | 4 | 16 | 20 | 0 | 6 | 0 | 51 | 110 | 33 | 62 | 3.64% | 9 | 15.18 | 0 | 4 | 4 | 56 | 0 | 0 | 0 | 0 | 0 | 1 | 36.84% | 19 | 19 | 9 | 0 | 0 | 0.71 | 0 | 1 | |
6 | Adam Fox | 24 | D | 37 | 5 | 12 | 17 | 13 | 0 | 0 | 37 | 77 | 29 | 36 | 6.49% | 64 | 26.81 | 0 | 1 | 1 | 95 | 0 | 0 | 0 | 99 | 0 | 1 | 0.00% | 0 | 10 | 35 | 0 | 0 | 0.34 | 0 | 0 | |
7 | Max Pacioretty | 0 | LW | 37 | 7 | 9 | 16 | -6 | 14 | 0 | 50 | 83 | 32 | 62 | 8.43% | 12 | 12.95 | 1 | 0 | 1 | 31 | 0 | 0 | 0 | 0 | 1 | 2 | 40.91% | 22 | 16 | 6 | 0 | 0 | 0.67 | 0 | 0 | |
8 | Tyler Benson | 0 | LW/RW | 37 | 3 | 11 | 14 | 7 | 10 | 0 | 39 | 74 | 23 | 57 | 4.05% | 6 | 9.93 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 17 | 0 | 0 | 58.33% | 12 | 22 | 4 | 1 | 0 | 0.76 | 0 | 0 | |
9 | Tage Thompson | 0 | C | 37 | 5 | 9 | 14 | -13 | 6 | 0 | 44 | 65 | 25 | 36 | 7.69% | 15 | 12.94 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 50 | 2 | 0 | 49.16% | 297 | 10 | 9 | 0 | 0 | 0.58 | 0 | 2 | |
10 | Ondrej Kase | 0 | RW | 37 | 6 | 6 | 12 | -11 | 2 | 0 | 0 | 73 | 28 | 40 | 8.22% | 7 | 11.20 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 28.57% | 7 | 11 | 7 | 0 | 0 | 0.58 | 0 | 1 | |
11 | Dawson Mercer | 91 | C/RW | 37 | 6 | 5 | 11 | 5 | 2 | 0 | 38 | 28 | 7 | 22 | 21.43% | 12 | 15.80 | 2 | 2 | 4 | 86 | 0 | 0 | 0 | 3 | 1 | 1 | 41.38% | 29 | 3 | 13 | 0 | 0 | 0.38 | 0 | 0 | |
12 | Ryan Merkley | 0 | D | 37 | 2 | 8 | 10 | 9 | 46 | 0 | 69 | 47 | 18 | 17 | 4.26% | 41 | 22.69 | 0 | 1 | 1 | 94 | 0 | 1 | 1 | 71 | 1 | 0 | 0.00% | 0 | 10 | 26 | 0 | 0 | 0.24 | 0 | 0 | |
13 | Mark Borowiecki | 0 | D | 37 | 0 | 10 | 10 | -2 | 28 | 0 | 48 | 27 | 13 | 19 | 0.00% | 41 | 17.64 | 0 | 1 | 1 | 80 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 3 | 17 | 0 | 0 | 0.31 | 0 | 0 | |
14 | Anthony Beauvillier | 0 | C/LW | 37 | 6 | 3 | 9 | 3 | 0 | 0 | 9 | 52 | 30 | 48 | 11.54% | 4 | 9.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 28.57% | 7 | 12 | 6 | 0 | 0 | 0.54 | 0 | 0 | |
15 | Justin Holl | 0 | D | 37 | 0 | 8 | 8 | 0 | 4 | 0 | 39 | 23 | 10 | 14 | 0.00% | 33 | 17.53 | 0 | 0 | 0 | 37 | 0 | 1 | 1 | 98 | 0 | 0 | 0.00% | 1 | 2 | 24 | 0 | 0 | 0.25 | 0 | 0 | |
16 | Victor Mete | 0 | D | 37 | 2 | 5 | 7 | -4 | 2 | 0 | 1 | 32 | 10 | 14 | 6.25% | 52 | 17.93 | 1 | 1 | 2 | 81 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 4 | 17 | 0 | 0 | 0.21 | 0 | 0 | |
17 | Aleksei Heponiemi | 0 | C/RW | 37 | 3 | 4 | 7 | 3 | 0 | 0 | 3 | 35 | 13 | 20 | 8.57% | 6 | 9.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 43.92% | 148 | 2 | 7 | 0 | 0 | 0.42 | 0 | 0 | |
18 | Alexander Petrovic | 47 | D | 37 | 1 | 3 | 4 | -4 | 14 | 0 | 38 | 23 | 7 | 14 | 4.35% | 51 | 16.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 1 | 27 | 0 | 0 | 0.13 | 0 | 0 | |
19 | Sean Durzi | 0 | D | 23 | 0 | 2 | 2 | 3 | 4 | 0 | 4 | 5 | 1 | 0 | 0.00% | 8 | 6.48 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.27 | 0 | 0 | |
Team Total or Average | 689 | 108 | 182 | 290 | 33 | 216 | 0 | 680 | 1266 | 429 | 753 | 8.53% | 424 | 15.92 | 16 | 22 | 38 | 925 | 1 | 4 | 5 | 728 | 17 | 12 | 51.59% | 2291 | 243 | 259 | 3 | 0 | 0.53 | 2 | 12 |
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 | Semyon Varlamov | Maple Leafs | 24 | 12 | 7 | 3 | 0.918 | 2.61 | 1400 | 4 | 0 | 61 | 740 | 361 | 0 | 0 | 0.667 | 12 | 23 | 14 | 4 | 1 | 2 |
2 | Connor Ingram | Maple Leafs | 15 | 7 | 8 | 0 | 0.908 | 3.17 | 833 | 0 | 0 | 44 | 480 | 230 | 1 | 0 | 0.000 | 0 | 14 | 23 | 2 | 0 | 3 |
Team Total or Average | 39 | 19 | 15 | 3 | 0.914 | 2.82 | 2234 | 4 | 0 | 105 | 1220 | 591 | 1 | 0 | 0.667 | 12 | 37 | 37 | 6 | 1 | 5 |
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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 68 | 27 | 25 | 16 | 0 | 65 | 28 | 6 | 34 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 46 | 29 | 40 | 16 | 32 | 16 | 50.0% | 4.4% | 95.4% | 99.8 | DULL | |
2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 1 | 37 | 12 | 11 | 12 | 7 | 48 | 25 | 2 | 16 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 21 | 13 | 25 | 9 | 17 | 8 | 42.9% | 8.1% | 91.7% | 99.8 | DULL | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 1 | 2 | 2 | 0 | 42 | 9 | 22 | 11 | 0 | 35 | 11 | 2 | 20 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 23 | 15 | 19 | 8 | 17 | 8 | 62.5% | 11.9% | 91.4% | 103.3 | LUCKY | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 37 | 14 | 16 | 7 | 0 | 30 | 9 | 6 | 11 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 22 | 12 | 19 | 8 | 18 | 9 | 100.0% | 8.1% | 96.7% | 104.8 | DULL | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 1 | 0 | 2 | 0 | 28 | 9 | 6 | 13 | 0 | 40 | 22 | 10 | 18 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 21 | 13 | 23 | 8 | 14 | 6 | 40.0% | 10.7% | 90.0% | 100.7 | FUN | |
6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 1 | 1 | 4 | 0 | 109 | 47 | 23 | 39 | 0 | 114 | 26 | 10 | 54 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 66 | 42 | 65 | 24 | 47 | 23 | 38.5% | 5.5% | 92.1% | 97.6 | DULL | |
7 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.333 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 3 | 0 | 87 | 23 | 24 | 40 | 0 | 121 | 32 | 20 | 44 | 8 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 60 | 34 | 69 | 26 | 50 | 24 | 41.7% | 5.7% | 93.4% | 99.1 | DULL | |
8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 6 | 1 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 1 | 4 | 2 | 1 | 76 | 32 | 21 | 21 | 9 | 54 | 19 | 6 | 43 | 7 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 45 | 26 | 43 | 17 | 35 | 18 | 58.3% | 9.2% | 88.9% | 98.1 | FUN | |
9 | 5 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 20 | 10 | 10 | 9 | 0.900 | 20 | 34 | 54 | 0 | 0 | 7 | 4 | 8 | 1 | 172 | 76 | 46 | 49 | 1 | 150 | 57 | 32 | 89 | 19 | 4 | 21.05% | 16 | 1 | 93.75% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 114 | 68 | 104 | 44 | 82 | 41 | 64.0% | 11.6% | 93.3% | 105.0 | LUCKY | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30 | 11 | 10 | 9 | 0 | 34 | 10 | 6 | 17 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 22 | 13 | 21 | 8 | 16 | 8 | 16.7% | 3.3% | 85.3% | 88.6 | Unlucky | |
11 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 0.667 | 10 | 16 | 26 | 0 | 0 | 4 | 5 | 1 | 0 | 97 | 31 | 27 | 39 | 0 | 91 | 33 | 12 | 71 | 15 | 3 | 20.00% | 6 | 1 | 83.33% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 68 | 41 | 60 | 25 | 50 | 26 | 58.3% | 10.3% | 93.4% | 103.7 | LUCKY | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 2 | 2 | 0 | 55 | 18 | 12 | 25 | 0 | 66 | 16 | 24 | 35 | 5 | 1 | 20.00% | 12 | 4 | 66.67% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 44 | 25 | 42 | 18 | 33 | 16 | 62.5% | 10.9% | 89.4% | 100.3 | FUN | |
13 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 12 | -8 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 0 | 2 | 0 | 111 | 39 | 36 | 36 | 0 | 107 | 43 | 28 | 47 | 4 | 0 | 0.00% | 14 | 3 | 78.57% | 1 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 69 | 45 | 64 | 24 | 45 | 21 | 30.8% | 3.6% | 88.8% | 92.4 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 39 | 11 | 15 | 13 | 0 | 29 | 7 | 8 | 13 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 21 | 12 | 21 | 8 | 16 | 8 | 66.7% | 10.3% | 93.1% | 103.4 | LUCKY | |
15 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 14 | -3 | 2 | 0.333 | 11 | 19 | 30 | 0 | 0 | 4 | 2 | 5 | 0 | 113 | 42 | 32 | 39 | 0 | 78 | 32 | 20 | 57 | 12 | 4 | 33.33% | 10 | 4 | 60.00% | 1 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 70 | 42 | 57 | 25 | 52 | 26 | 41.2% | 9.7% | 82.1% | 91.8 | FUN | |
16 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 2 | 3 | 0 | 0 | 68 | 32 | 25 | 11 | 0 | 66 | 31 | 14 | 34 | 2 | 1 | 50.00% | 7 | 1 | 85.71% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 44 | 28 | 44 | 17 | 31 | 15 | 44.4% | 7.4% | 90.9% | 98.3 | Unlucky | |
17 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 2 | 1 | 41 | 15 | 12 | 13 | 1 | 40 | 6 | 4 | 27 | 0 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 25 | 16 | 22 | 7 | 17 | 7 | 57.1% | 9.8% | 92.5% | 102.3 | LUCKY | |
18 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 3 | 3 | 2 | 0 | 65 | 21 | 21 | 23 | 0 | 52 | 15 | 10 | 31 | 8 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 44 | 26 | 40 | 18 | 35 | 17 | 66.7% | 12.3% | 92.3% | 104.6 | LUCKY | |
_Vs Division | 13 | 5 | 6 | 0 | 1 | 1 | 0 | 0 | 35 | 37 | -2 | 13 | 0.500 | 35 | 58 | 93 | 0 | 0 | 11 | 8 | 15 | 1 | 425 | 156 | 118 | 150 | 1 | 444 | 148 | 104 | 215 | 36 | 5 | 13.89% | 52 | 9 | 82.69% | 1 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 287 | 173 | 281 | 113 | 212 | 104 | 51.7% | 8.2% | 91.7% | 99.9 | DULL | |
_Vs Conference | 25 | 12 | 10 | 0 | 2 | 1 | 0 | 0 | 77 | 72 | 5 | 29 | 0.580 | 77 | 129 | 206 | 0 | 0 | 25 | 23 | 27 | 2 | 848 | 308 | 250 | 288 | 2 | 800 | 272 | 172 | 448 | 75 | 13 | 17.33% | 86 | 15 | 82.56% | 2 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 562 | 343 | 528 | 217 | 415 | 205 | 52.9% | 9.1% | 91.0% | 100.1 | FUN | |
_Since Last GM Reset | 37 | 17 | 15 | 0 | 2 | 1 | 0 | 2 | 108 | 107 | 1 | 41 | 0.554 | 108 | 182 | 290 | 0 | 0 | 31 | 32 | 43 | 4 | 1275 | 469 | 384 | 416 | 18 | 1220 | 422 | 220 | 661 | 104 | 15 | 14.42% | 110 | 19 | 82.73% | 2 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 831 | 510 | 787 | 319 | 617 | 306 | 51.4% | 8.5% | 91.2% | 99.7 | DULL | |
Total | 37 | 17 | 15 | 0 | 2 | 1 | 0 | 2 | 108 | 107 | 1 | 41 | 0.554 | 108 | 182 | 290 | 0 | 0 | 31 | 32 | 43 | 4 | 1275 | 469 | 384 | 416 | 18 | 1220 | 422 | 220 | 661 | 104 | 15 | 14.42% | 110 | 19 | 82.73% | 2 | 472 | 910 | 51.87% | 451 | 845 | 53.37% | 262 | 536 | 48.88% | 831 | 510 | 787 | 319 | 617 | 306 | 51.4% | 8.5% | 91.2% | 99.7 | DULL |
Puck Time | |
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Offensive Zone | 22 |
Neutral Zone | 16 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 910 |
Neutral Zone Start | 536 |
Defensive Zone Start | 845 |
Puck Time | |
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With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 1185 |
Faceoffs Lost | 1106 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.7 | 9.57 |
2nd Period | 23.1 | 20.31 |
3rd Period | 34.3 | 30.68 |
Overtime | 34.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.7 | 1.65 |
3rd Period | 2.9 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 91 |
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PP Goal | 15 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 9 | 10 |
Lost | 9 | 6 |
Overtime Lost | 1 | 2 |
PP Attempt | 104 |
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PP Goal | 15 |
PK Attempt | 110 |
PK Goal Against | 19 |
Home | |
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Shots For | 34.5 |
Shots Against | 33.0 |
Goals For | 2.9 |
Goals Against | 2.9 |
Hits | 17.9 |
Shots Blocked | 11.4 |
Pim | 5.9 |
Projected Total Cap Hit | 84,863,739$ |
Projected Cap Space | 5,136,261$ |
Retains And Buyout Cap Hit | 925,000$ |
Salary Cap To Date | 39,145,502$ |
Players In Salary Cap | 23 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2018-2019 | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | D | 25 | 12,100,000$ | 12,100,000$ | 12,100,000$ | 12,100,000$ | 12,100,000$ | ||||
Aleksei Heponiemi ![]() | C/RW | 24 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | 875,000$ | ||||
Alexander Petrovic ![]() | D | 31 | 1,750,000$ | 1,750,000$ | |||||||
Anthony Beauvillier ![]() | C/LW | 26 | 1,900,000$ | 1,900,000$ | 1,900,000$ | 1,900,000$ | |||||
Connor Ingram ![]() | LW | 26 | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | 3,250,000$ | ||||
Dawson Mercer ![]() | C/RW | 21 | 894,167$ | 894,167$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | |||
Jan Jenik | C/LW/RW | 23 | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | ||||
Justin Holl ![]() | D | 31 | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | |||
Mark Borowiecki ![]() | D | 34 | 975,000$ | 975,000$ | |||||||
Matthew Tkachuk | LW/RW | 25 | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | 11,500,000$ | ||||
Max Pacioretty | LW | 34 | 5,000,000$ | 5,000,000$ | |||||||
Ondrej Kase ![]() | RW | 27 | 2,222,222$ | 2,222,222$ | 2,222,222$ | ||||||
Pavel Gogolev ![]() | LW | 23 | 2,250,000$ | 2,250,000$ | |||||||
Ryan Merkley | D | 23 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | |||||
Sean Durzi ![]() | D | 24 | 1,200,000$ | 1,200,000$ | |||||||
Semyon Varlamov | C | 35 | 2,200,000$ | 2,200,000$ | |||||||
Tage Thompson ![]() | C | 25 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | |||||
Tanner Jeannot ![]() | LW/RW | 26 | 975,000$ | 975,000$ | |||||||
Tomas Hertl | C/LW | 29 | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | 9,750,000$ | ||||
Tyler Benson ![]() | LW/RW | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | ||||||
Victor Mete ![]() | D | 25 | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | |||||
Yauheni Aksiantsiuk ![]() | LW/RW | 22 | 1,750,000$ | 1,750,000$ | 1,750,000$ |
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Priority | Type | Description |
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Alexander Pashin | 3 | 45 | |||
Ben MacDonald | 7 | 63 | |||
Brandon Lisowsky | 6 | 24 | |||
Cade Littler | 7 | 91 | |||
Cedrick Guindon | 7 | 43 | |||
Charles-Alexis Legault | 8 | 95 | |||
Danila Klimovich | 4 | 16 | |||
Dennis Hildeby | 6 | 45 | |||
Dyllan Gill | 7 | 87 | |||
Emmitt Finnie | 8 | 64 | |||
Ethan Gauthier | 8 | 15 | |||
Ethan Hay | 8 | 71 | |||
Fraser Minten | 6 | 27 | |||
Jimmy Snuggerud | 7 | 9 | |||
Kirill Gerasimyuk | 5 | 63 | |||
Lukas Dragicevic | 8 | 12 | |||
Matyas Sapovaliv | 6 | 25 | |||
Michael Buchinger | 6 | 55 | |||
Nico Myatovic | 8 | 14 | |||
Rasmus Kumpulainen | 8 | 36 | |||
Ryan Greene | 7 | 28 | |||
Ryan Hofer | 7 | 41 | |||
Simon Nemec | 6 | 2 | |||
Topi Niemela | 2 | ||||
Ty Nelson | 6 | 39 | |||
Viljami Marjala | 4 | 64 |
Date | Matchup | Result | Detail | |||||||||||
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2023-09-27 | @ | Red Wings2,Maple Leafs1 | RECAP | |||||||||||
2023-09-28 | @ | Maple Leafs1,Panthers5 | RECAP | |||||||||||
2023-09-30 | @ | Maple Leafs7,Canadiens2 | RECAP | |||||||||||
2023-10-02 | @ | Bruins2,Maple Leafs1 | RECAP | |||||||||||
2023-10-04 | @ | Maple Leafs1,Red Wings6 | RECAP | |||||||||||
2023-10-06 | @ | Maple Leafs2,Avalanche5 | RECAP | |||||||||||
2023-10-08 | @ | Avalanche1,Maple Leafs2 | RECAP | |||||||||||
2023-10-10 | @ | Red Wings4,Maple Leafs2 | RECAP | |||||||||||
2023-10-12 | @ | Sabres3,Maple Leafs4 | RECAP | |||||||||||
2023-10-14 | @ | Maple Leafs4,Rangers2 | RECAP | |||||||||||
2023-10-16 | @ | Devils3,Maple Leafs4 (OT) | RECAP | |||||||||||
2023-10-18 | @ | Maple Leafs4,Canadiens1 | RECAP | |||||||||||
2023-10-20 | @ | Maple Leafs2,Bruins5 | RECAP | |||||||||||
2023-10-22 | @ | Maple Leafs4,Rangers1 | RECAP | |||||||||||
2023-10-24 | @ | Blue Jackets2,Maple Leafs4 | RECAP | |||||||||||
2023-10-26 | @ | Avalanche3,Maple Leafs2 | RECAP | |||||||||||
2023-10-28 | @ | Maple Leafs4,Blue Jackets2 | RECAP | |||||||||||
2023-10-30 | @ | Bruins1,Maple Leafs2 | RECAP | |||||||||||
2023-10-31 | @ | Canadiens1,Maple Leafs3 | RECAP | |||||||||||
2023-11-02 | @ | Maple Leafs5,Oilers3 | RECAP | |||||||||||
2023-11-03 | @ | Lightning6,Maple Leafs2 | RECAP | |||||||||||
2023-11-05 | @ | Maple Leafs3,Coyotes1 | RECAP | |||||||||||
2023-11-07 | @ | Coyotes5,Maple Leafs4 (SO) | RECAP | |||||||||||
2023-11-09 | @ | Maple Leafs3,Canucks1 | RECAP | |||||||||||
2023-11-11 | @ | Maple Leafs1,Flames2 | RECAP | |||||||||||
2023-11-13 | @ | Flames1,Maple Leafs2 | RECAP | |||||||||||
2023-11-15 | @ | Maple Leafs2,Sabres4 | RECAP | |||||||||||
2023-11-17 | @ | Lightning7,Maple Leafs4 | RECAP | |||||||||||
2023-11-19 | @ | Canadiens2,Maple Leafs3 (OT) | RECAP | |||||||||||
2023-11-21 | @ | Maple Leafs3,Canadiens4 (OT) | RECAP | |||||||||||
2023-11-23 | @ | Maple Leafs4,Flyers2 | RECAP | |||||||||||
2023-11-24 | @ | Rangers3,Maple Leafs2 | RECAP | |||||||||||
2023-11-27 | @ | Panthers1,Maple Leafs4 | RECAP | |||||||||||
2023-11-29 | @ | Maple Leafs5,Lightning1 | RECAP | |||||||||||
2023-11-30 | @ | Maple Leafs3,Kings4 (SO) | RECAP | |||||||||||
2023-12-02 | @ | Wild5,Maple Leafs1 | RECAP | |||||||||||
2023-12-03 | @ | Golden Knights4,Maple Leafs3 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
84,941,489$ | 925,000$ | 84,863,739$ | 5,136,261$ |
Arena | Goal Horn | About us | |
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![]() | Name | Scotiabank Arena | |
City | Toronto | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 250$ | 125$ | 90$ | 75$ | 400$ |
Attendance | 111977 | 91680 | 36650 | 61747 | 18062 |
Attendance PCT | 98.23% | 96.51% | 96.45% | 81.25% | 95.06% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
22 | 16848 - 93.60% | 4,282,462$ | 81,366,775$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
84,941,489$ | 84,941,489$ | 0$ | 925,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
40,788,941$ | 567,003$ | 39,145,502$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
94,214,161$ | 79 | 590,821$ | 46,674,859$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
48,806,835$ | 84,863,739$ | 895,270,845$ | 946,212,474$ |
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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