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Full Scoreboard »» |
Tucson Roadrunners 5-6-1, 11pts · 13th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Belzile | 22 | C/LW/RW | 100.00 | 66 | 41 | 85 | 62 | 76 | 76 | 70 | 65 | 77 | 66 | 68 | 66 | 66 | 81 | 79 | 0 | 42 | 76 | 33 | 1,000,000$/2yrs | |||
Drake Caggiula | 0 | C/LW | 99.00 | 70 | 39 | 76 | 58 | 67 | 70 | 83 | 66 | 77 | 61 | 60 | 69 | 61 | 74 | 71 | 0 | 40 | 73 | 30 | 800,000$/2yrs | |||
Alex Limoges | 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$/2yrs | |||
Joe Snively | 0 | LW | 99.00 | 58 | 32 | 99 | 59 | 66 | 75 | 67 | 59 | 62 | 60 | 63 | 56 | 61 | 73 | 72 | 0 | 40 | 71 | 28 | 800,000$/2yrs | |||
Yegor Sokolov | 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$/2yrs | |||
Gerry Mayhew | 0 | C/RW | 100.00 | 71 | 38 | 73 | 56 | 61 | 70 | 89 | 68 | 82 | 51 | 52 | 72 | 59 | 77 | 74 | 0 | 40 | 70 | 31 | 800,000$/1yrs | |||
Fredrik Karlstrom | 0 | C | 100.00 | 60 | 38 | 92 | 56 | 78 | 66 | 85 | 62 | 68 | 56 | 57 | 66 | 57 | 66 | 65 | 0 | 40 | 69 | 26 | 800,000$/2yrs | |||
Henry Bowlby | 41 | C/LW | 100.00 | 69 | 40 | 76 | 52 | 78 | 63 | 78 | 64 | 67 | 52 | 54 | 68 | 53 | 68 | 65 | 0 | 40 | 68 | 27 | 800,000$/1yrs | |||
James Hamblin | 0 | C/LW | 100.00 | 58 | 32 | 97 | 55 | 66 | 69 | 71 | 53 | 78 | 53 | 56 | 60 | 54 | 67 | 66 | 0 | 38 | 66 | 25 | 850,000$/1yrs | |||
Judd Caulfield (R) | 0 | RW | 100.00 | 62 | 39 | 87 | 53 | 83 | 62 | 77 | 61 | 49 | 52 | 52 | 64 | 52 | 61 | 59 | 0 | 40 | 66 | 23 | 837,500$/1yrs | |||
Carter Savoie (R) | 0 | LW | 100.00 | 62 | 38 | 87 | 53 | 72 | 61 | 84 | 60 | 49 | 50 | 53 | 63 | 51 | 59 | 58 | 0 | 40 | 65 | 22 | 800,000$/2yrs | |||
Trevor Kuntar (R) | 0 | C | 100.00 | 87 | 42 | 50 | 51 | 76 | 60 | 77 | 61 | 65 | 49 | 51 | 64 | 50 | 61 | 56 | 0 | 41 | 65 | 23 | 867,500$/1yrs | |||
Lukas Svejkovsky (R) | 0 | C/RW | 100.00 | 60 | 37 | 91 | 51 | 63 | 60 | 77 | 61 | 47 | 51 | 48 | 64 | 50 | 61 | 60 | 0 | 40 | 64 | 22 | 859,167$/1yrs | |||
Emil Lilleberg (R) | 0 | D | 99.00 | 86 | 33 | 85 | 55 | 77 | 82 | 71 | 56 | 30 | 60 | 50 | 65 | 53 | 64 | 62 | 0 | 41 | 71 | 23 | 775,000$/1yrs | |||
Louka Heneault | 0 | D | 100.00 | 80 | 40 | 70 | 63 | 70 | 68 | 60 | 59 | 30 | 58 | 48 | 64 | 61 | 59 | 56 | 0 | 39 | 70 | 23 | 775,000$/1yrs | |||
Dysin Mayo | 0 | D | 99.00 | 79 | 32 | 81 | 55 | 74 | 75 | 67 | 50 | 30 | 50 | 50 | 68 | 50 | 71 | 69 | 0 | 40 | 68 | 28 | 950,000$/1yrs | |||
Marc Del Gaizo | 0 | D | 99.00 | 69 | 39 | 79 | 54 | 72 | 65 | 87 | 51 | 30 | 59 | 49 | 66 | 54 | 64 | 62 | 0 | 40 | 68 | 25 | 900,000$/1yrs | |||
Brady Lyle | 0 | D | 100.00 | 72 | 41 | 71 | 50 | 86 | 63 | 82 | 49 | 30 | 56 | 51 | 66 | 54 | 64 | 61 | 0 | 37 | 67 | 25 | 1,100,000$/2yrs | |||
Wyatt Kalynuk | 49 | D | 100.00 | 79 | 41 | 60 | 47 | 72 | 62 | 87 | 46 | 30 | 52 | 49 | 68 | 50 | 68 | 64 | 0 | 38 | 65 | 27 | 800,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Arttu Ruotsalainen | 25 | C/LW/RW | 100.00 | 65 | 32 | 88 | 67 | 68 | 75 | 60 | 66 | 75 | 57 | 58 | 67 | 66 | 68 | 67 | 0 | 28 | 72 | 27 | 1,000,000$/1yrs | |||
Antoine Morand | 90 | C | 100.00 | 66 | 39 | 81 | 62 | 71 | 62 | 60 | 60 | 65 | 55 | 52 | 62 | 62 | 63 | 61 | 0 | 28 | 68 | 25 | ||||
Jakub Pour | 59 | RW | 100.00 | 64 | 39 | 84 | 59 | 80 | 60 | 60 | 58 | 65 | 48 | 53 | 63 | 59 | 63 | 61 | 0 | 28 | 66 | 25 | ||||
Zayde Wisdom (R) | 60 | RW | 100.00 | 64 | 39 | 85 | 49 | 74 | 58 | 81 | 60 | 43 | 48 | 48 | 63 | 48 | 59 | 57 | 0 | 28 | 63 | 22 | 979,500$/1yrs | |||
Dmitry Zavgorodniy | 0 | RW | 100.00 | 56 | 36 | 92 | 57 | 64 | 66 | 60 | 56 | 51 | 46 | 45 | 52 | 59 | 62 | 64 | 0 | 28 | 62 | 24 | ||||
Jakub Zboril | 0 | D | 100.00 | 73 | 33 | 90 | 55 | 79 | 77 | 68 | 57 | 30 | 60 | 56 | 67 | 57 | 71 | 70 | 0 | 30 | 72 | 27 | 775,000$/1yrs | |||
Hardy Haman Aktell (R) | 0 | D | 100.00 | 67 | 39 | 80 | 46 | 81 | 61 | 74 | 45 | 30 | 51 | 47 | 66 | 49 | 66 | 64 | 0 | 30 | 64 | 26 | 775,000$/1yrs | |||
Frederic Allard | 58 | D | 100.00 | 70 | 39 | 73 | 44 | 72 | 61 | 72 | 44 | 30 | 49 | 47 | 67 | 48 | 68 | 65 | 0 | 28 | 63 | 26 | 900,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Felix Sandstrom | 0 | 98.00 | 66 | 69 | 69 | 78 | 64 | 62 | 68 | 76 | 69 | 76 | 68 | 70 | 74 | 0 | 43 | 74 | 27 | 1,000,000$/2yrs |
Jet Greaves | 0 | 100.00 | 78 | 63 | 67 | 74 | 69 | 56 | 72 | 73 | 69 | 72 | 72 | 64 | 67 | 0 | 38 | 73 | 23 | 900,000$/2yrs |
Scratches | ||||||||||||||||||||
John Lethemon | 0 | 98.00 | 67 | 68 | 67 | 78 | 65 | 73 | 70 | 67 | 73 | 70 | 70 | 70 | 70 | 0 | 40 | 74 | 28 | 775,000$/1yrs |
Rasmus Korhonen | 0 | 100.00 | 65 | 68 | 66 | 88 | 64 | 63 | 65 | 64 | 63 | 65 | 64 | 60 | 63 | 0 | 34 | 71 | 22 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 72 | 73 | 73 | 82 | 74 | 68 | 78 | CAN | 52 | 5 | 500,000$ |
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 | Roadrunners (ARI) | C/LW | 12 | 1 | 8 | 9 | -6 | 2 | 0 | 11 | 35 | 11 | 20 | 2.86% | 2 | 18.72 | 0 | 5 | 5 | 33 | 0 | 0 | 0 | 42 | 0 | 0 | 55.56% | 18 | 0 | 0 | 0 | 0 | 0.80 | 0 | 1 | |
2 | Alex Belzile | Roadrunners (ARI) | C/LW/RW | 11 | 4 | 3 | 7 | -4 | 4 | 0 | 3 | 41 | 6 | 28 | 9.76% | 1 | 18.83 | 3 | 1 | 4 | 38 | 0 | 0 | 0 | 42 | 0 | 0 | 53.78% | 251 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | |
3 | Joe Snively | Roadrunners (ARI) | LW | 12 | 3 | 4 | 7 | -3 | 0 | 0 | 4 | 29 | 5 | 13 | 10.34% | 1 | 17.51 | 2 | 2 | 4 | 33 | 0 | 0 | 0 | 29 | 2 | 0 | 65.63% | 32 | 0 | 0 | 0 | 0 | 0.67 | 0 | 1 | |
4 | Marc Del Gaizo | Roadrunners (ARI) | D | 12 | 2 | 4 | 6 | -3 | 4 | 0 | 12 | 16 | 3 | 7 | 12.50% | 17 | 20.60 | 1 | 1 | 2 | 34 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
5 | Louka Heneault | Roadrunners (ARI) | D | 9 | 0 | 6 | 6 | 1 | 4 | 0 | 14 | 15 | 6 | 8 | 0.00% | 9 | 19.06 | 0 | 2 | 2 | 31 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
6 | Emil Lilleberg | Roadrunners (ARI) | D | 11 | 1 | 5 | 6 | -2 | 6 | 0 | 37 | 16 | 7 | 10 | 6.25% | 22 | 24.00 | 1 | 2 | 3 | 35 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
7 | Carter Savoie | Roadrunners (ARI) | LW | 12 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 21 | 7 | 19 | 9.52% | 1 | 10.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | |
8 | Judd Caulfield | Roadrunners (ARI) | RW | 12 | 2 | 3 | 5 | 1 | 0 | 0 | 6 | 14 | 3 | 20 | 14.29% | 0 | 12.09 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 10 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | |
9 | Fredrik Karlstrom | Roadrunners (ARI) | C | 12 | 2 | 2 | 4 | 2 | 4 | 0 | 4 | 13 | 2 | 13 | 15.38% | 5 | 11.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 60.51% | 157 | 0 | 0 | 1 | 0 | 0.59 | 0 | 0 | |
10 | Henry Bowlby | Roadrunners (ARI) | C/LW | 12 | 1 | 3 | 4 | 0 | 2 | 0 | 31 | 21 | 14 | 21 | 4.76% | 4 | 12.72 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 0 | 1 | 52.63% | 38 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
11 | Alex Limoges | Roadrunners (ARI) | C/LW | 12 | 1 | 3 | 4 | 1 | 4 | 0 | 6 | 24 | 8 | 23 | 4.17% | 3 | 17.34 | 0 | 3 | 3 | 39 | 0 | 0 | 0 | 22 | 0 | 1 | 51.33% | 263 | 0 | 0 | 0 | 0 | 0.38 | 1 | 2 | |
12 | Gerry Mayhew | Roadrunners (ARI) | C/RW | 12 | 3 | 1 | 4 | -2 | 12 | 0 | 30 | 29 | 6 | 31 | 10.34% | 1 | 12.98 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 3 | 0 | 0 | 61.54% | 39 | 0 | 0 | 0 | 0 | 0.51 | 0 | 1 | |
13 | Dysin Mayo | Roadrunners (ARI) | D | 12 | 1 | 2 | 3 | -1 | 6 | 0 | 10 | 14 | 8 | 7 | 7.14% | 13 | 20.60 | 1 | 1 | 2 | 32 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | |
14 | Wyatt Kalynuk | Roadrunners (ARI) | D | 9 | 0 | 3 | 3 | -6 | 10 | 0 | 39 | 6 | 4 | 6 | 0.00% | 9 | 16.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
15 | Yegor Sokolov | Roadrunners (ARI) | LW/RW | 12 | 1 | 2 | 3 | -7 | 16 | 0 | 31 | 27 | 8 | 20 | 3.70% | 0 | 15.00 | 0 | 1 | 1 | 40 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 9 | 0 | 0 | 0 | 0 | 0.33 | 1 | 1 | |
16 | Trevor Kuntar | Roadrunners (ARI) | C | 11 | 2 | 1 | 3 | -5 | 20 | 0 | 36 | 23 | 9 | 20 | 8.70% | 2 | 14.75 | 2 | 1 | 3 | 34 | 0 | 0 | 0 | 0 | 1 | 0 | 48.17% | 191 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | |
17 | Brady Lyle | Roadrunners (ARI) | D | 12 | 1 | 1 | 2 | -6 | 13 | 5 | 24 | 7 | 5 | 10 | 14.29% | 17 | 17.14 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | |
18 | Lukas Svejkovsky | Roadrunners (ARI) | C/RW | 12 | 1 | 1 | 2 | -3 | 0 | 0 | 2 | 22 | 8 | 17 | 4.55% | 2 | 12.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 15 | 0 | 0 | 0 | 0 | 0.27 | 0 | 0 | |
19 | Hardy Haman Aktell | Roadrunners (ARI) | D | 3 | 1 | 1 | 2 | -2 | 0 | 0 | 7 | 4 | 4 | 1 | 25.00% | 4 | 21.88 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 7 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
20 | Jakub Zboril | Roadrunners (ARI) | 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 | |
21 | James Hamblin | Roadrunners (ARI) | C/LW | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 223 | 29 | 56 | 85 | -44 | 107 | 5 | 309 | 385 | 124 | 296 | 7.53% | 120 | 15.72 | 10 | 21 | 31 | 384 | 0 | 0 | 0 | 313 | 4 | 3 | 52.81% | 1032 | 0 | 0 | 1 | 0 | 0.48 | 2 | 6 |
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 | John Lethemon | Roadrunners (ARI) | 7 | 3 | 3 | 1 | 0.897 | 3.08 | 429 | 2 | 0 | 22 | 213 | 0 | 0 | 0 | 0.714 | 7 | 7 | 0 | 0 | 0 | 0 |
2 | Felix Sandstrom | Roadrunners (ARI) | 2 | 1 | 1 | 0 | 0.911 | 2.50 | 120 | 0 | 0 | 5 | 56 | 0 | 0 | 0 | 0.000 | 0 | 2 | 10 | 0 | 0 | 0 |
3 | Jet Greaves | Roadrunners (ARI) | 3 | 1 | 2 | 0 | 0.889 | 3.00 | 180 | 0 | 0 | 9 | 81 | 0 | 0 | 0 | 0.000 | 0 | 3 | 2 | 0 | 0 | 0 |
Team Total or Average | 12 | 5 | 6 | 1 | 0.897 | 2.96 | 729 | 2 | 0 | 36 | 350 | 0 | 0 | 0 | 0.714 | 7 | 12 | 12 | 0 | 0 | 0 |
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 | 25 | 0$ | RFA | |||||||
Arttu Ruotsalainen | C/LW/RW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Brady Lyle | D | 25 | 1,100,000$ | 1,100,000$ | 1,100,000$ | RFA | |||||
Carter Savoie | LW | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Dmitry Zavgorodniy | RW | 24 | 0$ | RFA | |||||||
Drake Caggiula | C/LW | 30 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Dysin Mayo | D | 28 | 950,000$ | 950,000$ | UFA | ||||||
Emil Lilleberg | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Felix Sandstrom | G | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Frederic Allard | D | 26 | 900,000$ | 900,000$ | RFA | ||||||
Fredrik Karlstrom | C | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Gerry Mayhew | C/RW | 31 | 800,000$ | 800,000$ | UFA | ||||||
Hardy Haman Aktell | D | 26 | 775,000$ | 775,000$ | RFA | ||||||
Henry Bowlby | C/LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
Jakub Pour | RW | 25 | 0$ | RFA | |||||||
Jakub Zboril | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
James Hamblin | C/LW | 25 | 850,000$ | 850,000$ | RFA | ||||||
Jet Greaves | G | 23 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Joe Snively | LW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
John Lethemon | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Judd Caulfield | RW | 23 | 837,500$ | 837,500$ | RFA | ||||||
Louka Heneault | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Lukas Svejkovsky | C/RW | 22 | 859,167$ | 859,167$ | RFA | ||||||
Marc Del Gaizo | D | 25 | 900,000$ | 900,000$ | RFA | ||||||
Rasmus Korhonen | G | 22 | 0$ | RFA | |||||||
Trevor Kuntar | C | 23 | 867,500$ | 867,500$ | RFA | ||||||
Wyatt Kalynuk | D | 27 | 800,000$ | 800,000$ | UFA | ||||||
Yegor Sokolov | LW/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
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 |
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1 | Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 13 | 8 | 9 | 2 | 28 | 142 | 115 | 122 | 20 | 28 | 8 | 10 | 26 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 33.3% | 7.1% | 85.7% | 92.9 | Unlucky |
2 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 13 | 8 | 9 | 2 | 51 | 142 | 115 | 122 | 20 | 14 | 5 | 2 | 31 | 12 | 6 | 50.00% | 1 | 0 | 100.00% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 33.3% | 13.7% | 85.7% | 99.4 | FUN |
3 | Reign | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 13 | 8 | 9 | 2 | 45 | 142 | 115 | 122 | 20 | 25 | 12 | 4 | 23 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 50.0% | 6.7% | 92.0% | 98.7 | DULL |
4 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 13 | 8 | 9 | 2 | 19 | 142 | 115 | 122 | 20 | 42 | 12 | 18 | 21 | 2 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 33.3% | 5.3% | 92.9% | 98.1 | DULL |
5 | Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 13 | 8 | 9 | 2 | 31 | 142 | 115 | 122 | 20 | 22 | 7 | 12 | 33 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 80.0% | 12.9% | 90.9% | 103.8 | FUN |
6 | Moose | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 13 | 8 | 9 | 2 | 31 | 142 | 115 | 122 | 20 | 25 | 12 | 8 | 35 | 2 | 1 | 50.00% | 4 | 0 | 100.00% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 25.0% | 6.5% | 88.0% | 94.5 | Unlucky |
7 | Barracuda | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 2 | 0.250 | 6 | 11 | 17 | 0 | 0 | 13 | 8 | 9 | 2 | 118 | 142 | 115 | 122 | 20 | 133 | 52 | 43 | 97 | 17 | 2 | 11.76% | 17 | 4 | 76.47% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 30.8% | 5.1% | 90.2% | 95.3 | Unlucky |
8 | Silver Knights | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 13 | 8 | 9 | 2 | 69 | 142 | 115 | 122 | 20 | 61 | 14 | 12 | 48 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 42.9% | 8.7% | 86.9% | 95.6 | Unlucky |
_Vs Division | 9 | 4 | 4 | 0 | 0 | 0 | 1 | 0 | 26 | 27 | -1 | 10 | 0.556 | 26 | 46 | 72 | 0 | 0 | 13 | 8 | 9 | 2 | 314 | 142 | 115 | 122 | 20 | 255 | 90 | 73 | 232 | 41 | 9 | 21.95% | 30 | 5 | 83.33% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 43.6% | 8.3% | 89.4% | 97.7 | Unlucky | |
_Vs Conference | 10 | 4 | 4 | 0 | 0 | 0 | 1 | 1 | 28 | 30 | -2 | 11 | 0.550 | 28 | 50 | 78 | 0 | 0 | 13 | 8 | 9 | 2 | 345 | 142 | 115 | 122 | 20 | 280 | 102 | 81 | 267 | 43 | 10 | 23.26% | 34 | 5 | 85.29% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 41.9% | 8.1% | 89.3% | 97.4 | Unlucky | |
_Since Last GM Reset | 12 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 31 | 37 | -6 | 11 | 0.458 | 31 | 56 | 87 | 0 | 0 | 13 | 8 | 9 | 2 | 392 | 142 | 115 | 122 | 20 | 350 | 122 | 109 | 314 | 48 | 11 | 22.92% | 48 | 8 | 83.33% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 40.8% | 7.9% | 89.4% | 97.3 | Unlucky | |
Total | 12 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 31 | 37 | -6 | 11 | 0.458 | 31 | 56 | 87 | 0 | 0 | 13 | 8 | 9 | 2 | 392 | 142 | 115 | 122 | 20 | 350 | 122 | 109 | 314 | 48 | 11 | 22.92% | 48 | 8 | 83.33% | 0 | 235 | 445 | 52.81% | 219 | 382 | 57.33% | 95 | 187 | 50.80% | 288 | 190 | 278 | 93 | 163 | 83 | 40.8% | 7.9% | 89.4% | 97.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 445 |
Neutral Zone Start | 187 |
Defensive Zone Start | 382 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 549 |
Faceoffs Lost | 465 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.8 | 9.57 |
2nd Period | 21.4 | 20.31 |
3rd Period | 31.6 | 30.68 |
Overtime | 33.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.1 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 2.7 | 2.83 |
Even Strenght Goal | 20 |
---|---|
PP Goal | 11 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 3 | 2 |
Lost | 1 | 5 |
Overtime Lost | 1 | 0 |
PP Attempt | 48 |
---|---|
PP Goal | 11 |
PK Attempt | 48 |
PK Goal Against | 8 |
Home | |
---|---|
Shots For | 32.7 |
Shots Against | 29.2 |
Goals For | 2.6 |
Goals Against | 3.1 |
Hits | 26.2 |
Shots Blocked | 10.2 |
Pim | 9.1 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,084,367$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Tucson | |
Capacity | 3000 | |
Season Ticket Holders | 0% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 35$ | 0$ | $ | $ | $ |
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 |
31 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,084,367$ | 2,084,367$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
457,011$ | 11,453$ | 382,837$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 169 | 14,200$ | 2,201,000$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
2,201,000$ | 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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