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Full Scoreboard »» |
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Full Scoreboard »» |
Tucson Roadrunners 27-34-5, 59pts · 14th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 22 | C/LW/RW | 100.00 | 66 | 41 | 85 | 62 | 76 | 76 | 70 | 65 | 77 | 66 | 68 | 66 | 66 | 81 | 79 | 0 | 66 | 76 | 33 | 1,000,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 39 | 76 | 58 | 67 | 70 | 83 | 66 | 77 | 61 | 60 | 69 | 61 | 74 | 71 | 0 | 40 | 73 | 30 | 800,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 60 | 39 | 91 | 60 | 79 | 70 | 87 | 63 | 70 | 61 | 62 | 67 | 62 | 68 | 67 | 0 | 40 | 72 | 27 | 900,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 73 | 50 | 55 | 83 | 71 | 82 | 57 | 59 | 54 | 61 | 75 | 59 | 80 | 75 | 0 | 40 | 71 | 33 | 800,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 58 | 32 | 99 | 59 | 66 | 75 | 67 | 59 | 62 | 60 | 63 | 56 | 61 | 73 | 72 | 0 | 40 | 71 | 29 | 800,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 42 | 66 | 60 | 89 | 67 | 90 | 61 | 44 | 60 | 60 | 64 | 60 | 63 | 59 | 0 | 40 | 71 | 24 | 1,000,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 38 | 73 | 56 | 61 | 70 | 89 | 68 | 82 | 51 | 52 | 72 | 59 | 77 | 74 | 0 | 19 | 70 | 32 | 800,000$/1yrs | |||
![]() | 0 | C | 100.00 | 60 | 38 | 92 | 56 | 78 | 66 | 85 | 62 | 68 | 56 | 57 | 66 | 57 | 66 | 65 | 0 | 40 | 69 | 27 | 800,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 81 | 73 | 50 | 55 | 83 | 69 | 76 | 56 | 58 | 57 | 58 | 54 | 57 | 67 | 62 | 0 | 37 | 68 | 26 | 800,000$/2yrs | |||
![]() | 41 | C/LW | 100.00 | 69 | 40 | 76 | 52 | 78 | 63 | 78 | 64 | 67 | 52 | 54 | 68 | 53 | 68 | 65 | 0 | 20 | 68 | 28 | 800,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 58 | 32 | 97 | 55 | 66 | 69 | 71 | 53 | 78 | 53 | 56 | 60 | 54 | 67 | 66 | 0 | 36 | 66 | 25 | 850,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 39 | 87 | 53 | 83 | 62 | 77 | 61 | 49 | 52 | 52 | 64 | 52 | 61 | 59 | 0 | 40 | 66 | 24 | 837,500$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 33 | 85 | 55 | 77 | 82 | 71 | 56 | 30 | 60 | 50 | 65 | 53 | 64 | 62 | 0 | 40 | 71 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 80 | 40 | 70 | 63 | 70 | 68 | 60 | 59 | 30 | 58 | 48 | 64 | 61 | 59 | 56 | 0 | 41 | 70 | 24 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 79 | 32 | 81 | 55 | 74 | 75 | 67 | 50 | 30 | 50 | 50 | 68 | 50 | 71 | 69 | 0 | 33 | 68 | 28 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 39 | 79 | 54 | 72 | 65 | 87 | 51 | 30 | 59 | 49 | 66 | 54 | 64 | 62 | 0 | 40 | 68 | 25 | 900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 40 | 76 | 60 | 78 | 66 | 84 | 58 | 48 | 53 | 49 | 63 | 59 | 58 | 55 | 0 | 21 | 68 | 21 | 950,000$/3yrs | |||
![]() | 0 | D | 100.00 | 53 | 39 | 96 | 51 | 89 | 63 | 91 | 51 | 30 | 53 | 53 | 64 | 53 | 61 | 60 | 0 | 37 | 66 | 22 | 870,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 25 | C/LW/RW | 100.00 | 65 | 32 | 88 | 67 | 68 | 75 | 60 | 66 | 75 | 57 | 58 | 67 | 66 | 68 | 67 | 0 | 20 | 72 | 27 | 1,000,000$/1yrs | |||
![]() | 90 | C | 100.00 | 66 | 39 | 81 | 62 | 71 | 62 | 60 | 60 | 65 | 55 | 52 | 62 | 62 | 63 | 61 | 0 | 20 | 68 | 26 | ||||
![]() | 59 | RW | 100.00 | 64 | 39 | 84 | 59 | 80 | 60 | 60 | 58 | 65 | 48 | 53 | 63 | 59 | 63 | 61 | 0 | 20 | 66 | 25 | ||||
![]() | 0 | LW | 100.00 | 62 | 38 | 87 | 53 | 72 | 61 | 84 | 60 | 49 | 50 | 53 | 63 | 51 | 59 | 58 | 0 | 19 | 65 | 23 | 800,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 87 | 42 | 50 | 51 | 76 | 60 | 77 | 61 | 65 | 49 | 51 | 64 | 50 | 61 | 56 | 0 | 27 | 65 | 23 | 867,500$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 60 | 37 | 91 | 51 | 63 | 60 | 77 | 61 | 47 | 51 | 48 | 64 | 50 | 61 | 60 | 0 | 18 | 64 | 23 | 859,167$/1yrs | |||
![]() | 60 | RW | 100.00 | 64 | 39 | 85 | 49 | 74 | 58 | 81 | 60 | 43 | 48 | 48 | 63 | 48 | 59 | 57 | 0 | 19 | 63 | 22 | 979,500$/1yrs | |||
![]() | 0 | RW | 100.00 | 56 | 36 | 92 | 57 | 64 | 66 | 60 | 56 | 51 | 46 | 45 | 52 | 59 | 62 | 64 | 0 | 20 | 62 | 24 | ||||
![]() | 0 | D | 100.00 | 73 | 33 | 90 | 55 | 79 | 77 | 68 | 57 | 30 | 60 | 56 | 67 | 57 | 71 | 70 | 0 | 20 | 72 | 28 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 72 | 41 | 71 | 50 | 86 | 63 | 82 | 49 | 30 | 56 | 51 | 66 | 54 | 64 | 61 | 0 | 20 | 67 | 25 | 1,100,000$/2yrs | |||
![]() | 49 | D | 100.00 | 79 | 41 | 60 | 47 | 72 | 62 | 87 | 46 | 30 | 52 | 49 | 68 | 50 | 68 | 64 | 0 | 20 | 65 | 27 | 800,000$/1yrs | |||
![]() | 0 | D | 100.00 | 90 | 42 | 50 | 58 | 70 | 63 | 60 | 53 | 30 | 50 | 46 | 59 | 56 | 54 | 49 | 0 | 18 | 65 | 19 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 39 | 80 | 46 | 81 | 61 | 74 | 45 | 30 | 51 | 47 | 66 | 49 | 66 | 64 | 0 | 19 | 64 | 26 | 775,000$/1yrs | |||
![]() | 58 | D | 100.00 | 70 | 39 | 73 | 44 | 72 | 61 | 72 | 44 | 30 | 49 | 47 | 67 | 48 | 68 | 65 | 0 | 18 | 63 | 27 | 900,000$/1yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 67 | 68 | 67 | 78 | 65 | 73 | 70 | 67 | 73 | 70 | 70 | 70 | 70 | 0 | 29 | 74 | 28 | 775,000$/1yrs |
![]() | 0 | 100.00 | 78 | 63 | 67 | 74 | 69 | 56 | 72 | 73 | 69 | 72 | 72 | 64 | 67 | 0 | 34 | 73 | 24 | 900,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 66 | 69 | 69 | 78 | 64 | 62 | 68 | 76 | 69 | 76 | 68 | 70 | 74 | 0 | 50 | 74 | 28 | 1,000,000$/2yrs |
![]() | 0 | 100.00 | 65 | 68 | 66 | 88 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 60 | 63 | 0 | 20 | 71 | 22 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 72 | 73 | 73 | 82 | 74 | 68 | 78 | CAN | 52 | 5 | 500,000$ |
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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Drake Caggiula | C/LW | 66 | 17 | 30 | 47 | -16 | 18 | 0 | 65 | 226 | 66 | 177 | 7.52% | 14 | 17.67 | 6 | 14 | 20 | 197 | 0 | 0 | 0 | 98 | 1 | 0 | 58.44% | 409 | 0 | 0 | 0 | 0 | 0.81 | 2 | 4 | ||
2 | Alex Limoges | C/LW | 66 | 22 | 19 | 41 | -13 | 6 | 0 | 21 | 192 | 56 | 143 | 11.46% | 12 | 16.50 | 6 | 10 | 16 | 212 | 0 | 0 | 0 | 25 | 2 | 1 | 50.29% | 1189 | 0 | 0 | 0 | 0 | 0.75 | 2 | 6 | ||
3 | Alex Belzile | C/LW/RW | 49 | 20 | 19 | 39 | 3 | 9 | 5 | 24 | 200 | 56 | 133 | 10.00% | 5 | 18.79 | 8 | 4 | 12 | 139 | 1 | 0 | 1 | 141 | 2 | 0 | 55.41% | 1072 | 0 | 0 | 0 | 0 | 0.85 | 0 | 1 | ||
4 | Yegor Sokolov | LW/RW | 66 | 14 | 24 | 38 | -12 | 38 | 0 | 141 | 154 | 46 | 121 | 9.09% | 7 | 14.93 | 5 | 6 | 11 | 195 | 0 | 0 | 0 | 2 | 2 | 1 | 47.54% | 61 | 0 | 0 | 0 | 0 | 0.77 | 1 | 1 | ||
5 | Fredrik Karlstrom | C | 66 | 13 | 21 | 34 | 6 | 16 | 0 | 31 | 169 | 38 | 107 | 7.69% | 18 | 16.11 | 2 | 5 | 7 | 145 | 0 | 0 | 0 | 96 | 0 | 1 | 54.75% | 1211 | 0 | 0 | 1 | 0 | 0.64 | 0 | 0 | ||
6 | Louka Heneault | D | 63 | 4 | 26 | 30 | -24 | 60 | 10 | 160 | 100 | 39 | 54 | 4.00% | 66 | 21.48 | 2 | 10 | 12 | 200 | 0 | 0 | 0 | 114 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
7 | Emil Lilleberg | D | 47 | 3 | 27 | 30 | 2 | 36 | 0 | 143 | 64 | 25 | 41 | 4.69% | 79 | 23.36 | 2 | 6 | 8 | 142 | 0 | 0 | 0 | 112 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
8 | Jonah Gadjovich | LW | 67 | 8 | 18 | 26 | -6 | 56 | 10 | 197 | 121 | 23 | 93 | 6.61% | 6 | 16.21 | 0 | 2 | 2 | 63 | 0 | 1 | 1 | 80 | 1 | 2 | 42.68% | 82 | 0 | 0 | 0 | 0 | 0.48 | 0 | 2 | ||
9 | Mikael Diotte | D | 49 | 7 | 18 | 25 | -4 | 41 | 5 | 74 | 29 | 17 | 26 | 24.14% | 62 | 15.86 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 38 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
10 | Austin Watson | LW/RW | 51 | 14 | 10 | 24 | -17 | 45 | 5 | 155 | 164 | 56 | 123 | 8.54% | 13 | 18.75 | 4 | 7 | 11 | 164 | 0 | 1 | 1 | 107 | 1 | 0 | 43.68% | 87 | 0 | 0 | 0 | 0 | 0.50 | 0 | 5 | ||
11 | Marc Del Gaizo | D | 66 | 6 | 18 | 24 | -5 | 22 | 0 | 56 | 72 | 22 | 54 | 8.33% | 83 | 20.54 | 4 | 5 | 9 | 184 | 0 | 0 | 0 | 144 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
12 | Gerry Mayhew | C/RW | 49 | 12 | 11 | 23 | -2 | 22 | 0 | 85 | 137 | 32 | 101 | 8.76% | 7 | 14.89 | 1 | 2 | 3 | 55 | 0 | 0 | 0 | 56 | 2 | 1 | 58.74% | 446 | 0 | 0 | 0 | 0 | 0.63 | 0 | 1 | ||
13 | Joe Snively | LW | 66 | 7 | 15 | 22 | -15 | 4 | 0 | 11 | 141 | 33 | 93 | 4.96% | 3 | 15.75 | 2 | 4 | 6 | 80 | 0 | 0 | 0 | 106 | 3 | 0 | 58.27% | 127 | 0 | 0 | 0 | 0 | 0.42 | 0 | 1 | ||
14 | Henry Bowlby | C/LW | 54 | 8 | 10 | 18 | 1 | 12 | 0 | 62 | 94 | 43 | 84 | 8.51% | 12 | 12.67 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 56 | 0 | 1 | 50.86% | 405 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
15 | Dysin Mayo | D | 54 | 3 | 13 | 16 | -2 | 40 | 0 | 86 | 48 | 21 | 28 | 6.25% | 72 | 19.25 | 1 | 3 | 4 | 97 | 0 | 0 | 0 | 84 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
16 | Judd Caulfield | LW/RW | 66 | 7 | 8 | 15 | -15 | 14 | 0 | 54 | 94 | 32 | 72 | 7.45% | 7 | 11.63 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 55.10% | 49 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
17 | Vittorio Mancini | D | 48 | 4 | 11 | 15 | -16 | 2 | 0 | 10 | 35 | 11 | 31 | 11.43% | 55 | 21.26 | 0 | 5 | 5 | 121 | 0 | 0 | 0 | 78 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
18 | Trevor Kuntar | C/LW | 44 | 6 | 8 | 14 | -12 | 40 | 10 | 120 | 76 | 21 | 56 | 7.89% | 5 | 12.16 | 2 | 2 | 4 | 40 | 0 | 0 | 0 | 1 | 2 | 1 | 51.63% | 614 | 0 | 0 | 1 | 0 | 0.52 | 0 | 0 | ||
19 | Brady Lyle | D | 49 | 1 | 8 | 9 | -8 | 23 | 5 | 69 | 22 | 14 | 20 | 4.55% | 44 | 12.51 | 0 | 3 | 3 | 50 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
20 | Carter Savoie | LW | 29 | 2 | 7 | 9 | 5 | 6 | 0 | 7 | 44 | 10 | 38 | 4.55% | 1 | 10.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39.29% | 28 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
21 | Zayde Wisdom | RW | 18 | 2 | 3 | 5 | 3 | 6 | 0 | 5 | 20 | 6 | 20 | 10.00% | 4 | 12.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
22 | Hardy Haman Aktell | D | 25 | 1 | 4 | 5 | 0 | 10 | 0 | 32 | 16 | 9 | 8 | 6.25% | 27 | 17.96 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 42 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
23 | James Hamblin | C/LW | 57 | 2 | 2 | 4 | -11 | 0 | 0 | 7 | 31 | 13 | 29 | 6.45% | 3 | 6.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 70.45% | 44 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
24 | Wyatt Kalynuk | D | 11 | 0 | 3 | 3 | -5 | 12 | 0 | 43 | 7 | 5 | 6 | 0.00% | 10 | 16.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
25 | Lukas Svejkovsky | C/RW | 17 | 1 | 1 | 2 | -2 | 0 | 0 | 2 | 34 | 9 | 25 | 2.94% | 2 | 12.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.00% | 20 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
26 | Saige Weinstein | D | 9 | 1 | 0 | 1 | -3 | 4 | 0 | 15 | 4 | 0 | 1 | 25.00% | 4 | 10.24 | 1 | 0 | 1 | 6 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | ||
27 | Jakub Zboril | D | 4 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 7 | 0 | 2 | 0.00% | 7 | 23.68 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
28 | Frederic Allard | D | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 1 | 15.88 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1258 | 185 | 334 | 519 | -169 | 542 | 50 | 1677 | 2301 | 703 | 1687 | 8.04% | 629 | 16.09 | 46 | 89 | 135 | 2144 | 1 | 2 | 3 | 1477 | 24 | 9 | 53.55% | 5856 | 0 | 0 | 2 | 0 | 0.51 | 5 | 21 |
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 | Felix Sandstrom | 35 | 16 | 16 | 2 | 0.908 | 2.80 | 2079 | 2 | 1 | 97 | 1054 | 0 | 0 | 1 | 0.833 | 6 | 34 | 19 | 1 | 1 | 3 | |
2 | John Lethemon | 22 | 8 | 12 | 2 | 0.898 | 3.25 | 1310 | 2 | 1 | 71 | 698 | 0 | 0 | 0 | 0.667 | 9 | 22 | 23 | 3 | 1 | 0 | |
3 | Jet Greaves | 10 | 3 | 6 | 1 | 0.904 | 2.98 | 604 | 2 | 0 | 30 | 314 | 0 | 0 | 0 | 0.667 | 3 | 10 | 24 | 0 | 0 | 1 | |
Team Total or Average | 67 | 27 | 34 | 5 | 0.904 | 2.97 | 3994 | 6 | 2 | 198 | 2066 | 0 | 0 | 1 | 0.722 | 18 | 66 | 66 | 4 | 2 | 4 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Belzile | C/LW/RW | 33 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Alex Limoges | C/LW | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Antoine Morand | C | 26 | 0$ | ||||||||
Arttu Ruotsalainen | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Austin Watson | LW/RW | 33 | 800,000$ | 800,000$ | UFA | ||||||
Brady Lyle | D | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | ||||||
Carter Savoie | LW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
Dmitry Zavgorodniy | RW | 24 | 0$ | ||||||||
Drake Caggiula | C/LW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Dysin Mayo | D | 28 | 950,000$ | 950,000$ | UFA | ||||||
Emil Lilleberg | D | 24 | 775,000$ | 775,000$ | |||||||
Felix Sandstrom | G | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Frederic Allard | D | 27 | 900,000$ | 900,000$ | UFA | ||||||
Fredrik Karlstrom | C | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Gerry Mayhew | C/RW | 32 | 800,000$ | 800,000$ | UFA | ||||||
Hardy Haman Aktell | D | 26 | 775,000$ | 775,000$ | |||||||
Henry Bowlby | C/LW | 28 | 800,000$ | 800,000$ | UFA | ||||||
Jakub Pour | RW | 25 | 0$ | ||||||||
Jakub Zboril | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
James Hamblin | C/LW | 25 | 850,000$ | 850,000$ | |||||||
Jet Greaves | G | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
Joe Snively | LW | 29 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
John Lethemon | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Jonah Gadjovich | LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Judd Caulfield | LW/RW | 24 | 837,500$ | 837,500$ | |||||||
Louka Heneault | D | 24 | 775,000$ | 775,000$ | |||||||
Lukas Svejkovsky | C/RW | 23 | 859,167$ | 859,167$ | RFA | ||||||
Marc Del Gaizo | D | 25 | 900,000$ | 900,000$ | |||||||
Mikael Diotte | D | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Rasmus Korhonen | G | 22 | 0$ | RFA | |||||||
Saige Weinstein | D | 19 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Trevor Kuntar | C/LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
Vittorio Mancini | D | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Wyatt Kalynuk | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
Yegor Sokolov | LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Zayde Wisdom | RW | 22 | 979,500$ | 979,500$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 67 | 54 | 55 | 7 | 99 | 734 | 698 | 766 | 48 | 117 | 41 | 20 | 59 | 15 | 1 | 6.67% | 9 | 1 | 88.89% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 20.0% | 4.0% | 88.9% | 92.9 | Unlucky | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 67 | 54 | 55 | 7 | 63 | 734 | 698 | 766 | 48 | 62 | 11 | 8 | 41 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 57.1% | 7.9% | 93.5% | 101.5 | DULL | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 67 | 54 | 55 | 7 | 33 | 734 | 698 | 766 | 48 | 34 | 13 | 6 | 27 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 28.6% | 9.1% | 85.3% | 94.4 | FUN | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 67 | 54 | 55 | 7 | 31 | 734 | 698 | 766 | 48 | 24 | 9 | 4 | 23 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 75.0% | 9.7% | 95.8% | 105.5 | LUCKY | |
5 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 7 | 11 | -4 | 1 | 0.167 | 7 | 12 | 19 | 0 | 0 | 67 | 54 | 55 | 7 | 95 | 734 | 698 | 766 | 48 | 87 | 26 | 20 | 79 | 7 | 1 | 14.29% | 10 | 4 | 60.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 46.2% | 7.4% | 87.4% | 94.7 | Unlucky | |
6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 67 | 54 | 55 | 7 | 76 | 734 | 698 | 766 | 48 | 51 | 18 | 14 | 50 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 54.5% | 9.2% | 88.2% | 97.4 | FUN | |
7 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 5 | 11 | -6 | 2 | 0.333 | 5 | 8 | 13 | 0 | 0 | 67 | 54 | 55 | 7 | 112 | 734 | 698 | 766 | 48 | 96 | 27 | 16 | 65 | 11 | 1 | 9.09% | 6 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 26.7% | 4.5% | 88.5% | 93.0 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 67 | 54 | 55 | 7 | 34 | 734 | 698 | 766 | 48 | 20 | 14 | 14 | 22 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 25.0% | 2.9% | 85.0% | 87.9 | Unlucky | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 67 | 54 | 55 | 7 | 76 | 734 | 698 | 766 | 48 | 55 | 24 | 10 | 44 | 10 | 2 | 20.00% | 5 | 2 | 60.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 83.3% | 9.2% | 94.5% | 103.8 | LUCKY | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 67 | 54 | 55 | 7 | 30 | 734 | 698 | 766 | 48 | 26 | 13 | 16 | 26 | 0 | 0 | 0.00% | 8 | 1 | 87.50% | 1 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 40.0% | 6.7% | 84.6% | 91.3 | Unlucky | |
11 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 67 | 54 | 55 | 7 | 38 | 734 | 698 | 766 | 48 | 31 | 9 | 2 | 23 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 60.0% | 7.9% | 93.5% | 101.4 | DULL | |
12 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 67 | 54 | 55 | 7 | 63 | 734 | 698 | 766 | 48 | 68 | 20 | 14 | 55 | 3 | 1 | 33.33% | 7 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 63.6% | 12.7% | 94.1% | 106.8 | LUCKY | |
13 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 7 | 5 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 67 | 54 | 55 | 7 | 124 | 734 | 698 | 766 | 48 | 62 | 23 | 8 | 76 | 22 | 10 | 45.45% | 4 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 22.2% | 9.7% | 88.7% | 98.4 | FUN | |
14 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 6 | 0.600 | 15 | 26 | 41 | 0 | 0 | 67 | 54 | 55 | 7 | 176 | 734 | 698 | 766 | 48 | 132 | 39 | 27 | 136 | 22 | 7 | 31.82% | 9 | 1 | 88.89% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 44.4% | 8.5% | 91.7% | 100.2 | DULL | |
15 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 67 | 54 | 55 | 7 | 71 | 734 | 698 | 766 | 48 | 51 | 17 | 10 | 39 | 10 | 1 | 10.00% | 3 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 60.0% | 14.1% | 88.2% | 102.3 | FUN | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 67 | 54 | 55 | 7 | 19 | 734 | 698 | 766 | 48 | 42 | 12 | 18 | 21 | 2 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 33.3% | 5.3% | 92.9% | 98.1 | DULL | |
17 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 14 | 16 | -2 | 3 | 0.375 | 14 | 27 | 41 | 1 | 0 | 67 | 54 | 55 | 7 | 152 | 734 | 698 | 766 | 48 | 143 | 30 | 30 | 87 | 14 | 2 | 14.29% | 13 | 2 | 84.62% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 46.2% | 9.2% | 88.8% | 98.0 | FUN | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 67 | 54 | 55 | 7 | 39 | 734 | 698 | 766 | 48 | 32 | 7 | 8 | 20 | 7 | 2 | 28.57% | 4 | 1 | 75.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 20.0% | 7.7% | 84.4% | 92.1 | Unlucky | |
19 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 8 | 12 | 0 | 1 | 67 | 54 | 55 | 7 | 31 | 734 | 698 | 766 | 48 | 27 | 6 | 6 | 25 | 1 | 1 | 100.00% | 3 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 100.0% | 12.9% | 100.0% | 112.9 | LUCKY | |
20 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 67 | 54 | 55 | 7 | 28 | 734 | 698 | 766 | 48 | 33 | 8 | 6 | 30 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 50.0% | 10.7% | 93.9% | 104.7 | LUCKY | |
21 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 9 | 2 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 67 | 54 | 55 | 7 | 96 | 734 | 698 | 766 | 48 | 111 | 29 | 35 | 55 | 10 | 3 | 30.00% | 14 | 5 | 64.29% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 66.7% | 11.5% | 91.9% | 103.4 | LUCKY | |
22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 67 | 54 | 55 | 7 | 26 | 734 | 698 | 766 | 48 | 45 | 8 | 29 | 26 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 100.0% | 3.8% | 95.6% | 99.4 | DULL | |
23 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 67 | 54 | 55 | 7 | 32 | 734 | 698 | 766 | 48 | 37 | 10 | 6 | 16 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 37.5% | 12.5% | 86.5% | 99.0 | FUN | |
24 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.500 | 7 | 14 | 21 | 0 | 0 | 67 | 54 | 55 | 7 | 95 | 734 | 698 | 766 | 48 | 88 | 32 | 26 | 82 | 8 | 3 | 37.50% | 12 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 36.4% | 7.4% | 92.0% | 99.4 | DULL | |
25 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 9 | -4 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 67 | 54 | 55 | 7 | 53 | 734 | 698 | 766 | 48 | 80 | 18 | 23 | 56 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 35.7% | 9.4% | 88.8% | 98.2 | FUN | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 11 | 17 | 0 | 1 | 67 | 54 | 55 | 7 | 66 | 734 | 698 | 766 | 48 | 69 | 13 | 8 | 46 | 8 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 50.0% | 9.1% | 91.3% | 100.4 | LUCKY | |
27 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 67 | 54 | 55 | 7 | 34 | 734 | 698 | 766 | 48 | 37 | 6 | 18 | 25 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 33.3% | 5.9% | 91.9% | 97.8 | DULL | |
28 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 67 | 54 | 55 | 7 | 29 | 734 | 698 | 766 | 48 | 43 | 8 | 10 | 18 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 0.0% | 0.0% | 90.7% | 90.7 | Unlucky | |
29 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 20 | -7 | 4 | 0.333 | 13 | 24 | 37 | 0 | 0 | 67 | 54 | 55 | 7 | 181 | 734 | 698 | 766 | 48 | 186 | 66 | 53 | 139 | 30 | 4 | 13.33% | 22 | 4 | 81.82% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 36.0% | 7.2% | 89.2% | 96.4 | Unlucky | |
30 | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 10 | 13 | -3 | 4 | 0.500 | 10 | 16 | 26 | 0 | 0 | 67 | 54 | 55 | 7 | 142 | 734 | 698 | 766 | 48 | 122 | 31 | 28 | 98 | 13 | 1 | 7.69% | 13 | 3 | 76.92% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 47.4% | 7.0% | 89.3% | 96.4 | Unlucky | |
31 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 67 | 54 | 55 | 7 | 83 | 734 | 698 | 766 | 48 | 56 | 22 | 16 | 43 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 50.0% | 6.0% | 87.5% | 93.5 | Unlucky | |
_Vs Division | 29 | 8 | 15 | 0 | 0 | 2 | 2 | 0 | 78 | 96 | -18 | 22 | 0.379 | 78 | 141 | 219 | 1 | 0 | 67 | 54 | 55 | 7 | 1010 | 734 | 698 | 766 | 48 | 898 | 270 | 205 | 694 | 124 | 25 | 20.16% | 84 | 13 | 84.52% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 39.0% | 7.7% | 89.3% | 97.0 | Unlucky | |
_Vs Conference | 46 | 16 | 23 | 0 | 2 | 2 | 2 | 1 | 132 | 145 | -13 | 43 | 0.467 | 132 | 238 | 370 | 1 | 1 | 67 | 54 | 55 | 7 | 1589 | 734 | 698 | 766 | 48 | 1432 | 426 | 328 | 1086 | 180 | 35 | 19.44% | 137 | 19 | 86.13% | 0 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 43.5% | 8.3% | 89.9% | 98.2 | Unlucky | |
_Since Last GM Reset | 66 | 22 | 34 | 0 | 2 | 2 | 3 | 3 | 181 | 202 | -21 | 59 | 0.447 | 181 | 324 | 505 | 1 | 2 | 67 | 54 | 55 | 7 | 2227 | 734 | 698 | 766 | 48 | 2067 | 610 | 509 | 1552 | 247 | 46 | 18.62% | 208 | 33 | 84.13% | 1 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 44.4% | 8.1% | 90.2% | 98.4 | Unlucky | |
Total | 66 | 22 | 34 | 0 | 2 | 2 | 3 | 3 | 181 | 202 | -21 | 59 | 0.447 | 181 | 324 | 505 | 1 | 2 | 67 | 54 | 55 | 7 | 2227 | 734 | 698 | 766 | 48 | 2067 | 610 | 509 | 1552 | 247 | 46 | 18.62% | 208 | 33 | 84.13% | 1 | 1329 | 2499 | 53.18% | 1229 | 2198 | 55.91% | 562 | 1053 | 53.37% | 1570 | 1054 | 1541 | 513 | 888 | 446 | 44.4% | 8.1% | 90.2% | 98.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2499 |
Neutral Zone Start | 1053 |
Defensive Zone Start | 2198 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3120 |
Faceoffs Lost | 2630 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.1 | 9.57 |
2nd Period | 21.7 | 20.31 |
3rd Period | 33.3 | 30.68 |
Overtime | 34.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.0 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.7 | 2.67 |
Overtime | 2.8 | 2.83 |
Even Strenght Goal | 133 |
---|---|
PP Goal | 46 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 15 | 12 |
Lost | 15 | 19 |
Overtime Lost | 3 | 2 |
PP Attempt | 247 |
---|---|
PP Goal | 46 |
PK Attempt | 208 |
PK Goal Against | 33 |
Home | |
---|---|
Shots For | 33.7 |
Shots Against | 31.3 |
Goals For | 2.7 |
Goals Against | 3.1 |
Hits | 23.5 |
Shots Blocked | 9.2 |
Pim | 7.7 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-07 | @ | Moose3,Roadrunners2 (SO) | RECAP | |||||||||||
2024-10-09 | @ | Roadrunners3,Reign2 | RECAP | |||||||||||
2024-10-11 | @ | Roadrunners0,Barracuda3 | RECAP | |||||||||||
2024-10-13 | @ | Islanders4,Roadrunners2 | RECAP | |||||||||||
2024-10-16 | @ | Silver Knights3,Roadrunners4 (SO) | RECAP | |||||||||||
2024-10-18 | @ | Roadrunners2,Silver Knights5 | RECAP | |||||||||||
2024-10-19 | @ | Roadrunners3,Barracuda2 | RECAP | |||||||||||
2024-10-24 | @ | Condors2,Roadrunners4 | RECAP | |||||||||||
2024-10-25 | @ | Roadrunners0,Barracuda4 | RECAP | |||||||||||
2024-10-28 | @ | Roadrunners3,Barracuda4 | RECAP | |||||||||||
2024-10-29 | @ | Canucks2,Roadrunners7 | RECAP | |||||||||||
2024-10-31 | @ | Roadrunners1,Crunch3 | RECAP | |||||||||||
2024-11-02 | @ | Eagles3,Roadrunners4 (OT) | RECAP | |||||||||||
2024-11-04 | @ | Reign1,Roadrunners4 | RECAP | |||||||||||
2024-11-06 | @ | Roadrunners2,Canucks3 | RECAP | |||||||||||
2024-11-08 | @ | Roadrunners2,Phantoms3 | RECAP | |||||||||||
2024-11-12 | @ | Roadrunners3,Silver Knights2 | RECAP | |||||||||||
2024-11-13 | @ | Checkers2,Roadrunners1 | RECAP | |||||||||||
2024-11-15 | @ | Condors3,Roadrunners2 (OT) | RECAP | |||||||||||
2024-11-17 | @ | Roadrunners2,Wranglers5 | RECAP | |||||||||||
2024-11-18 | @ | Reign3,Roadrunners2 | RECAP | |||||||||||
2024-11-23 | @ | Roadrunners3,Griffins1 | RECAP | |||||||||||
2024-11-24 | @ | Silver Knights3,Roadrunners1 | RECAP | |||||||||||
2024-11-27 | @ | Islanders3,Roadrunners2 | RECAP | |||||||||||
2024-11-30 | @ | Gulls4,Roadrunners3 (OT) | RECAP | |||||||||||
2024-12-05 | @ | Moose1,Roadrunners3 | RECAP | |||||||||||
2024-12-10 | @ | Roadrunners1,Wolf Pack3 | RECAP | |||||||||||
2024-12-12 | @ | Wolves4,Roadrunners1 | RECAP | |||||||||||
2024-12-14 | @ | Roadrunners0,Eagles3 | RECAP | |||||||||||
2024-12-16 | @ | Roadrunners1,Reign3 | RECAP | |||||||||||
2024-12-18 | @ | Wild3,Roadrunners4 | RECAP | |||||||||||
2024-12-23 | @ | Roadrunners2,Moose3 | RECAP | |||||||||||
2024-12-26 | @ | Senators1,Roadrunners3 | RECAP | |||||||||||
2024-12-28 | @ | Roadrunners5,Reign2 | RECAP | |||||||||||
2024-12-29 | @ | Rocket4,Roadrunners2 | RECAP | |||||||||||
2025-01-01 | @ | Roadrunners3,Phantoms1 | RECAP | |||||||||||
2025-01-03 | @ | Roadrunners4,Barracuda3 | RECAP | |||||||||||
2025-01-04 | @ | Admirals4,Roadrunners5 (OT) | RECAP | |||||||||||
2025-01-07 | @ | Roadrunners2,IceHogs4 | RECAP | |||||||||||
2025-01-08 | @ | Americans2,Roadrunners3 | RECAP | |||||||||||
2025-01-12 | @ | Eagles5,Roadrunners1 | RECAP | |||||||||||
2025-01-13 | @ | Roadrunners4,Wild1 | RECAP | |||||||||||
2025-01-17 | @ | Roadrunners4,Monsters5 (SO) | RECAP | |||||||||||
2025-01-22 | @ | Comets5,Roadrunners3 | RECAP | |||||||||||
2025-01-23 | @ | Roadrunners2,Stars0 | RECAP | |||||||||||
2025-01-25 | @ | Griffins2,Roadrunners4 | RECAP | |||||||||||
2025-01-28 | @ | Canucks2,Roadrunners3 (SO) | RECAP | |||||||||||
2025-01-29 | @ | Roadrunners4,Condors6 | RECAP | |||||||||||
2025-02-01 | @ | Roadrunners0,Penguins4 | RECAP | |||||||||||
2025-02-02 | @ | Gulls5,Roadrunners2 | RECAP | |||||||||||
2025-02-06 | @ | Roadrunners3,Firebirds4 | RECAP | |||||||||||
2025-02-08 | @ | IceHogs4,Roadrunners5 | RECAP | |||||||||||
2025-02-11 | @ | Marlies3,Roadrunners2 | RECAP | |||||||||||
2025-02-13 | @ | Roadrunners3,Thunderbirds5 | RECAP | |||||||||||
2025-02-15 | @ | Firebirds3,Roadrunners2 | RECAP | |||||||||||
2025-02-17 | @ | Roadrunners1,Wranglers3 | RECAP | |||||||||||
2025-02-20 | @ | Roadrunners5,Admirals2 | RECAP | |||||||||||
2025-02-22 | @ | Roadrunners3,Bears2 (SO) | RECAP | |||||||||||
2025-02-23 | @ | Barracuda4,Roadrunners3 | RECAP | |||||||||||
2025-02-26 | @ | Roadrunners6,Wolves2 | RECAP | |||||||||||
2025-02-27 | @ | Stars6,Roadrunners4 | RECAP | |||||||||||
2025-03-02 | @ | Bruins0,Roadrunners4 | RECAP | |||||||||||
2025-03-03 | @ | Roadrunners4,Condors5 | RECAP | |||||||||||
2025-03-08 | @ | Wranglers5,Roadrunners1 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-13 | @ | IceHogs1,Roadrunners4 | RECAP | |||||||||||
2025-03-16 | @ | Roadrunners3,Islanders4 (SO) | RECAP | |||||||||||
2025-03-19 | @ | |||||||||||||
2025-03-21 | @ | |||||||||||||
2025-03-24 | @ | |||||||||||||
2025-03-25 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-04-04 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,596,367$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Tucson | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
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 |
3 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,596,367$ | 2,596,367$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
2,680,684$ | 14,266$ | 2,230,141$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 32 | 17,013$ | 306,234$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
306,234$ | 0$ | 0$ | 0$ |
Sponsors | |||
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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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