Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dillon Dube (C) | 19 | C/LW | 100.00 | 66 | 34 | 83 | 71 | 70 | 82 | 85 | 68 | 70 | 67 | 72 | 63 | 68 | 64 | 65 | 0 | 50 | 72 | 24 | 2,428,667$/3yrs | |||
Cody Glass | 8 | C | 100.00 | 72 | 40 | 88 | 67 | 85 | 87 | 90 | 65 | 78 | 67 | 63 | 64 | 72 | 63 | 68 | 0 | 50 | 72 | 24 | 1,293,729$/2yrs | |||
Jonny Brodzinski (A) | 76 | C | 100.00 | 67 | 38 | 81 | 66 | 80 | 85 | 79 | 64 | 75 | 65 | 67 | 68 | 64 | 69 | 73 | 0 | 50 | 71 | 29 | 917,667$/3yrs | |||
Maxim Mamin | 98 | C | 100.00 | 73 | 39 | 91 | 67 | 82 | 79 | 75 | 66 | 70 | 65 | 67 | 65 | 68 | 67 | 69 | 0 | 50 | 71 | 28 | 925,000$/1yrs | |||
Nathan Gerbe | 24 | C/LW/RW | 100.00 | 79 | 36 | 80 | 67 | 61 | 79 | 80 | 66 | 69 | 67 | 63 | 59 | 65 | 84 | 78 | 0 | 50 | 70 | 35 | 975,000$/1yrs | |||
Brett Ritchie | 26 | RW | 100.00 | 87 | 78 | 75 | 61 | 90 | 76 | 80 | 62 | 59 | 61 | 63 | 58 | 62 | 71 | 69 | 0 | 50 | 70 | 29 | 892,000$/2yrs | |||
Wade Allison | 57 | RW | 100.00 | 78 | 38 | 82 | 62 | 81 | 85 | 72 | 64 | 61 | 63 | 66 | 58 | 63 | 65 | 67 | 0 | 50 | 69 | 25 | 902,500$/3yrs | |||
Fredrik Karlstrom | 18 | C | 100.00 | 68 | 38 | 92 | 63 | 82 | 76 | 88 | 66 | 72 | 65 | 58 | 61 | 59 | 64 | 66 | 0 | 50 | 69 | 25 | 772,500$/2yrs | |||
Jakob Pelletier | 49 | LW | 100.00 | 62 | 36 | 80 | 69 | 63 | 85 | 84 | 68 | 58 | 67 | 66 | 61 | 68 | 62 | 63 | 0 | 50 | 69 | 22 | 863,334$/3yrs | |||
Justin Danforth | 17 | RW | 100.00 | 66 | 35 | 86 | 67 | 64 | 81 | 82 | 65 | 71 | 63 | 68 | 66 | 63 | 69 | 70 | 0 | 50 | 69 | 30 | 941,667$/3yrs | |||
Matthew Phillips | 12 | C | 100.00 | 57 | 34 | 93 | 66 | 60 | 89 | 84 | 65 | 73 | 63 | 62 | 56 | 65 | 64 | 66 | 0 | 50 | 67 | 25 | 952,000$/2yrs | |||
Eetu Tuulola | 52 | RW | 100.00 | 76 | 71 | 78 | 57 | 85 | 76 | 87 | 56 | 59 | 55 | 58 | 61 | 57 | 64 | 66 | 0 | 50 | 66 | 25 | 831,000$/1yrs | |||
Nikolai Knyzhov | 71 | D | 100.00 | 81 | 38 | 78 | 65 | 84 | 80 | 77 | 64 | 30 | 67 | 58 | 69 | 50 | 65 | 66 | 0 | 50 | 71 | 25 | 856,000$/2yrs | |||
Steven Kampfer | 20 | D | 100.00 | 77 | 35 | 94 | 64 | 72 | 78 | 73 | 62 | 30 | 70 | 61 | 73 | 52 | 82 | 73 | 0 | 50 | 71 | 34 | 850,000$/2yrs | |||
Braden Schneider | 4 | D | 100.00 | 71 | 39 | 86 | 67 | 81 | 83 | 90 | 66 | 30 | 65 | 59 | 64 | 53 | 63 | 65 | 0 | 50 | 70 | 21 | 1,325,000$/3yrs | |||
Anthony Bitetto (A) | 22 | D | 100.00 | 72 | 39 | 77 | 61 | 81 | 79 | 76 | 62 | 30 | 66 | 61 | 63 | 53 | 72 | 74 | 0 | 50 | 69 | 32 | 825,000$/2yrs | |||
Ben Thomas | 44 | D | 100.00 | 56 | 35 | 95 | 64 | 75 | 80 | 75 | 62 | 30 | 61 | 56 | 63 | 50 | 69 | 65 | 0 | 50 | 66 | 26 | 750,000$/1yrs | |||
Tobias Geisser | 43 | D | 100.00 | 78 | 37 | 91 | 56 | 85 | 78 | 93 | 56 | 30 | 55 | 53 | 58 | 45 | 63 | 65 | 0 | 50 | 66 | 24 | 837,778$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
Cole Schneider | 25 | LW | 100.00 | 66 | 38 | 93 | 62 | 80 | 85 | 93 | 63 | 55 | 64 | 65 | 59 | 64 | 72 | 77 | 0 | 50 | 70 | 32 | 1,031,000$/1yrs | |||
John Hayden | 15 | C | 100.00 | 79 | 81 | 62 | 59 | 88 | 76 | 81 | 58 | 67 | 57 | 59 | 66 | 54 | 68 | 70 | 0 | 50 | 68 | 28 | 931,000$/2yrs | |||
Walker Duehr | 72 | RW | 100.00 | 69 | 39 | 85 | 59 | 82 | 79 | 82 | 58 | 61 | 59 | 58 | 60 | 57 | 65 | 67 | 0 | 50 | 67 | 25 | 913,750$/2yrs | |||
Joseph Gambardella | 16 | C | 100.00 | 61 | 38 | 86 | 59 | 70 | 74 | 87 | 58 | 66 | 59 | 57 | 56 | 58 | 69 | 71 | 0 | 50 | 65 | 29 | 750,000$/2yrs | |||
Damien Riat | 9 | C/LW/RW | 100.00 | 61 | 39 | 87 | 57 | 71 | 79 | 84 | 56 | 58 | 55 | 54 | 53 | 56 | 67 | 64 | 0 | 50 | 63 | 26 | 925,000$/1yrs | |||
Emilio Pettersen | 46 | LW | 100.00 | 57 | 37 | 91 | 58 | 66 | 76 | 86 | 57 | 61 | 58 | 59 | 54 | 58 | 62 | 64 | 0 | 50 | 63 | 23 | 925,000$/3yrs | |||
Maxim Cajkovic | 27 | RW | 100.00 | 60 | 36 | 94 | 55 | 69 | 75 | 65 | 54 | 58 | 55 | 56 | 53 | 55 | 61 | 63 | 0 | 50 | 61 | 22 | 925,000$/3yrs | |||
Connor Mackey | 3 | D | 100.00 | 68 | 34 | 61 | 65 | 81 | 80 | 83 | 64 | 30 | 67 | 65 | 62 | 53 | 66 | 68 | 0 | 50 | 70 | 26 | 1,056,250$/2yrs | |||
Philip Kemp | 23 | D | 100.00 | 71 | 34 | 89 | 53 | 84 | 61 | 78 | 52 | 30 | 53 | 52 | 56 | 45 | 63 | 65 | 0 | 50 | 62 | 24 | 893,834$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Maxime Lagace | 33 | 100.00 | 75 | 74 | 76 | 78 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 70 | 83 | 0 | 50 | 77 | 30 | 992,500$/2yrs |
Joel Hofer | 30 | 100.00 | 74 | 75 | 74 | 85 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 62 | 67 | 0 | 50 | 75 | 22 | 842,916$/4yrs |
Scratches | ||||||||||||||||||||
Dylan Ferguson | 34 | 100.00 | 73 | 67 | 68 | 75 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 64 | 71 | 0 | 50 | 73 | 24 | 828,500$/2yrs |
Arvid Soderblom | 40 | 100.00 | 72 | 77 | 76 | 79 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 63 | 69 | 0 | 50 | 73 | 23 | 1,212,500$/2yrs |
Jet Greaves | 73 | 100.00 | 71 | 74 | 75 | 72 | 70 | 69 | 71 | 70 | 69 | 71 | 70 | 61 | 65 | 0 | 50 | 72 | 22 | 938,889$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mitch Love | 70 | 71 | 74 | 65 | 57 | 54 | 88 | CAN | 37 | 5 | 0$ |
General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dillon Dube | Wranglers (CAL) | C/LW | 72 | 43 | 47 | 90 | 10 | 18 | 0 | 59 | 375 | 94 | 236 | 11.47% | 13 | 18.17 | 15 | 14 | 29 | 0 | 0 | 0 | 40 | 7 | 5 | 51.54% | 0 | 2 | 1.25 | 1 | 4 | 1.38 | |||
2 | Steven Kampfer | Wranglers (CAL) | D | 78 | 18 | 55 | 73 | -11 | 44 | 0 | 104 | 172 | 64 | 116 | 10.47% | 135 | 22.30 | 9 | 14 | 23 | 0 | 0 | 0 | 217 | 5 | 1 | 0.00% | 1 | 0 | 0.94 | 0 | 0 | 0.79 | |||
3 | Justin Danforth | Wranglers (CAL) | RW | 65 | 24 | 47 | 71 | 22 | 23 | 5 | 52 | 228 | 68 | 186 | 10.53% | 12 | 16.81 | 4 | 6 | 10 | 0 | 1 | 1 | 105 | 2 | 1 | 43.37% | 0 | 0 | 1.09 | 0 | 0 | 1.15 | |||
4 | Nathan Gerbe | Wranglers (CAL) | C/LW/RW | 75 | 25 | 44 | 69 | 14 | 18 | 0 | 144 | 192 | 53 | 146 | 13.02% | 11 | 16.96 | 6 | 18 | 24 | 0 | 0 | 0 | 28 | 4 | 1 | 50.24% | 0 | 1 | 0.92 | 0 | 0 | 0.92 | |||
5 | Jakob Pelletier | Wranglers (CAL) | LW | 78 | 29 | 36 | 65 | 9 | 8 | 0 | 59 | 250 | 84 | 204 | 11.60% | 11 | 16.27 | 5 | 11 | 16 | 0 | 0 | 0 | 0 | 4 | 1 | 41.05% | 0 | 0 | 0.83 | 1 | 3 | 0.92 | |||
6 | Cody Glass | Wranglers (CAL) | C | 81 | 22 | 41 | 63 | 11 | 28 | 10 | 85 | 199 | 67 | 168 | 11.06% | 23 | 16.27 | 1 | 6 | 7 | 0 | 0 | 0 | 105 | 4 | 0 | 53.46% | 0 | 1 | 0.78 | 2 | 4 | 0.77 | |||
7 | Anthony Bitetto | Wranglers (CAL) | D | 79 | 12 | 46 | 58 | 24 | 84 | 0 | 201 | 109 | 41 | 80 | 11.01% | 104 | 20.48 | 5 | 13 | 18 | 0 | 0 | 0 | 180 | 2 | 0 | 0.00% | 0 | 0 | 0.73 | 0 | 0 | 0.66 | |||
8 | Braden Schneider | Wranglers (CAL) | D | 82 | 16 | 41 | 57 | 7 | 18 | 0 | 83 | 179 | 50 | 113 | 8.94% | 113 | 22.11 | 9 | 14 | 23 | 0 | 1 | 1 | 242 | 1 | 0 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.74 | |||
9 | Wade Allison | Wranglers (CAL) | RW | 82 | 21 | 28 | 49 | -1 | 52 | 0 | 171 | 195 | 63 | 144 | 10.77% | 6 | 15.99 | 5 | 12 | 17 | 0 | 0 | 0 | 0 | 6 | 2 | 47.62% | 0 | 0 | 0.60 | 0 | 0 | 0.58 | |||
10 | Jonny Brodzinski | Wranglers (CAL) | C | 82 | 22 | 23 | 45 | 3 | 16 | 0 | 64 | 242 | 65 | 151 | 9.09% | 24 | 15.74 | 2 | 5 | 7 | 0 | 0 | 0 | 251 | 5 | 0 | 51.47% | 0 | 0 | 0.55 | 0 | 2 | 0.64 | |||
11 | Maxim Mamin | Wranglers (CAL) | C | 68 | 21 | 24 | 45 | -6 | 18 | 0 | 79 | 237 | 75 | 184 | 8.86% | 13 | 15.91 | 6 | 9 | 15 | 0 | 0 | 0 | 55 | 1 | 0 | 51.37% | 0 | 0 | 0.66 | 0 | 1 | 0.73 | |||
12 | Nikolai Knyzhov | Wranglers (CAL) | D | 82 | 9 | 34 | 43 | 13 | 90 | 0 | 215 | 93 | 34 | 53 | 9.68% | 123 | 19.76 | 1 | 1 | 2 | 0 | 0 | 0 | 210 | 1 | 2 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.44 | |||
13 | Ben Thomas | Wranglers (CAL) | D | 71 | 3 | 31 | 34 | 13 | 16 | 0 | 21 | 74 | 27 | 64 | 4.05% | 66 | 18.10 | 2 | 4 | 6 | 0 | 0 | 0 | 96 | 0 | 0 | 0.00% | 0 | 0 | 0.48 | 0 | 0 | 0.48 | |||
14 | Matthew Phillips | Wranglers (CAL) | C | 66 | 15 | 15 | 30 | -7 | 2 | 0 | 24 | 143 | 45 | 110 | 10.49% | 8 | 15.11 | 5 | 7 | 12 | 0 | 0 | 0 | 4 | 0 | 1 | 43.60% | 0 | 0 | 0.45 | 0 | 0 | 0.48 | |||
15 | Connor Mackey | Wranglers (CAL) | D | 36 | 3 | 23 | 26 | -12 | 34 | 0 | 79 | 72 | 27 | 51 | 4.17% | 39 | 18.83 | 2 | 9 | 11 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0.72 | 0 | 0 | 0.49 | |||
16 | Fredrik Karlstrom | Wranglers (CAL) | C | 82 | 10 | 15 | 25 | -1 | 2 | 0 | 17 | 115 | 29 | 84 | 8.70% | 7 | 10.77 | 0 | 0 | 0 | 1 | 0 | 1 | 209 | 0 | 2 | 50.46% | 0 | 0 | 0.30 | 0 | 0 | 0.32 | |||
17 | John Hayden | Wranglers (CAL) | C | 70 | 9 | 13 | 22 | -3 | 46 | 0 | 117 | 112 | 25 | 68 | 8.04% | 18 | 12.29 | 1 | 0 | 1 | 0 | 0 | 0 | 193 | 1 | 0 | 46.15% | 1 | 0 | 0.31 | 0 | 0 | 0.27 | |||
18 | Brett Ritchie | Wranglers (CAL) | RW | 71 | 10 | 10 | 20 | 3 | 45 | 15 | 146 | 106 | 37 | 73 | 9.43% | 6 | 11.52 | 1 | 3 | 4 | 0 | 0 | 0 | 7 | 3 | 1 | 62.12% | 0 | 0 | 0.28 | 0 | 0 | 0.29 | |||
19 | Cole Schneider | Wranglers (CAL) | LW | 31 | 3 | 10 | 13 | 2 | 4 | 0 | 28 | 50 | 15 | 41 | 6.00% | 1 | 12.49 | 0 | 3 | 3 | 0 | 0 | 0 | 2 | 0 | 0 | 45.45% | 0 | 0 | 0.42 | 0 | 0 | 0.46 | |||
20 | Eetu Tuulola | Wranglers (CAL) | RW | 52 | 7 | 3 | 10 | 1 | 16 | 0 | 41 | 53 | 14 | 29 | 13.21% | 2 | 8.39 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 1 | 47.50% | 0 | 0 | 0.19 | 0 | 0 | 0.20 | |||
21 | Tobias Geisser | Wranglers (CAL) | D | 45 | 4 | 5 | 9 | 6 | 50 | 0 | 80 | 21 | 7 | 11 | 19.05% | 32 | 17.02 | 0 | 0 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.11 | |||
22 | Philip Kemp | Wranglers (CAL) | D | 18 | 1 | 6 | 7 | 5 | 14 | 0 | 23 | 10 | 2 | 3 | 10.00% | 11 | 15.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.39 | 0 | 0 | 0.32 | |||
23 | Emilio Pettersen | Wranglers (CAL) | LW | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 1 | 3 | 0.00% | 0 | 6.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 0 | 0 | 0.00 | 0 | 0 | 0.12 | |||
24 | Walker Duehr | Wranglers (CAL) | RW | 4 | 0 | 0 | 0 | 2 | 2 | 0 | 7 | 10 | 2 | 2 | 0.00% | 1 | 14.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 0 | 0.00 | 0 | 0 | 0.36 | |||
Team Total or Average | 1477 | 327 | 597 | 924 | 105 | 648 | 30 | 1899 | 3242 | 989 | 2320 | 10.09% | 779 | 16.41 | 79 | 149 | 228 | 2451 | 1 | 2 | 3 | 2046 | 46 | 18 | 50.82% | 7840 | 0 | 0 | 2 | 4 | 0.76 | 4 | 14 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Joel Hofer | Wranglers (CAL) | 58 | 33 | 15 | 8 | 0.908 | 3.12 | 3440 | 8 | 0 | 179 | 1937 | 0 | 1 | 2 | 0.583 | 12 | 55 | 27 | 3 | 2 | 5 |
2 | Maxime Lagace | Wranglers (CAL) | 21 | 12 | 8 | 0 | 0.886 | 3.95 | 1138 | 0 | 0 | 75 | 656 | 0 | 1 | 0 | 1.000 | 3 | 19 | 40 | 0 | 2 | 0 |
3 | Arvid Soderblom | Wranglers (CAL) | 8 | 3 | 1 | 2 | 0.854 | 4.79 | 388 | 0 | 0 | 31 | 213 | 0 | 0 | 0 | 0.000 | 0 | 8 | 15 | 0 | 0 | 1 |
Team Total or Average | 87 | 48 | 24 | 10 | 0.898 | 3.44 | 4967 | 8 | 0 | 285 | 2806 | 0 | 2 | 2 | 0.667 | 15 | 82 | 82 | 3 | 4 | 6 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Bitetto | D | 32 | 825,000$ | 900,000$ | 750,000$ | UFA | |||||
Arvid Soderblom | G | 23 | 1,212,500$ | 1,500,000$ | 925,000$ | RFA | |||||
Ben Thomas | D | 26 | 750,000$ | 750,000$ | UFA | ||||||
Braden Schneider | D | 21 | 1,325,000$ | 1,325,000$ | 1,325,000$ | 1,325,000$ | RFA | ||||
Brett Ritchie | RW | 29 | 892,000$ | 1,034,000$ | 750,000$ | UFA | |||||
Cody Glass | C | 24 | 1,293,729$ | 1,713,333$ | 874,125$ | RFA | |||||
Cole Schneider | LW | 32 | 1,031,000$ | 1,031,000$ | UFA | ||||||
Connor Mackey | D | 26 | 1,056,250$ | 1,200,000$ | 912,500$ | UFA | |||||
Damien Riat | C/LW/RW | 26 | 925,000$ | 925,000$ | UFA | ||||||
Dillon Dube | C/LW | 24 | 2,428,667$ | 2,686,000$ | 2,300,000$ | 2,300,000$ | UFA | ||||
Dylan Ferguson | G | 24 | 828,500$ | 907,000$ | 750,000$ | RFA | |||||
Eetu Tuulola | RW | 25 | 831,000$ | 831,000$ | RFA | ||||||
Emilio Pettersen | LW | 23 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Fredrik Karlstrom | C | 25 | 772,500$ | 795,000$ | 750,000$ | UFA | |||||
Jakob Pelletier | LW | 22 | 863,334$ | 863,333$ | 863,334$ | 863,334$ | RFA | ||||
Jet Greaves | G | 22 | 938,889$ | 1,300,000$ | 758,333$ | 758,333$ | RFA | ||||
Joel Hofer | G | 22 | 842,916$ | 910,833$ | 910,833$ | 775,000$ | 775,000$ | RFA | |||
John Hayden | C | 28 | 931,000$ | 1,112,000$ | 750,000$ | UFA | |||||
Jonny Brodzinski | C | 29 | 917,667$ | 1,228,000$ | 762,500$ | 762,500$ | UFA | ||||
Joseph Gambardella | C | 29 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Justin Danforth | RW | 30 | 941,667$ | 875,000$ | 975,000$ | 975,000$ | UFA | ||||
Matthew Phillips | C | 25 | 952,000$ | 1,154,000$ | 750,000$ | UFA | |||||
Maxim Cajkovic | RW | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Maxim Mamin | C | 28 | 925,000$ | 925,000$ | UFA | ||||||
Maxime Lagace | G | 30 | 992,500$ | 1,235,000$ | 750,000$ | UFA | |||||
Nathan Gerbe | C/LW/RW | 35 | 975,000$ | 975,000$ | UFA | ||||||
Nikolai Knyzhov | D | 25 | 856,000$ | 862,000$ | 850,000$ | UFA | |||||
Philip Kemp | D | 24 | 893,834$ | 1,021,000$ | 766,667$ | RFA | |||||
Steven Kampfer | D | 34 | 850,000$ | 950,000$ | 750,000$ | UFA | |||||
Tobias Geisser | D | 24 | 837,778$ | 837,778$ | RFA | ||||||
Wade Allison | RW | 25 | 902,500$ | 1,137,500$ | 785,000$ | 785,000$ | UFA | ||||
Walker Duehr | RW | 25 | 913,750$ | 1,000,000$ | 827,500$ | UFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
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1 | Checkers | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 116 | 112 | 94 | 9 | 38 | 1061 | 1047 | 1090 | 52 | 37 | 10 | 10 | 18 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 40.0% | 5.3% | 91.9% | 97.2 | DULL |
2 | Marlies | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 116 | 112 | 94 | 9 | 38 | 1061 | 1047 | 1090 | 52 | 41 | 9 | 16 | 18 | 4 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 60.0% | 7.9% | 90.2% | 98.1 | Unlucky |
3 | Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 116 | 112 | 94 | 9 | 41 | 1061 | 1047 | 1090 | 52 | 36 | 7 | 8 | 26 | 6 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 40.0% | 4.9% | 88.9% | 93.8 | Unlucky |
4 | Binghamton Senateurs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 116 | 112 | 94 | 9 | 50 | 1061 | 1047 | 1090 | 52 | 29 | 6 | 6 | 27 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 28.6% | 6.0% | 82.8% | 88.8 | Unlucky |
5 | Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 116 | 112 | 94 | 9 | 26 | 1061 | 1047 | 1090 | 52 | 37 | 8 | 10 | 16 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 50.0% | 3.8% | 94.6% | 98.4 | DULL |
6 | Rockets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 13 | -8 | 0 | 0.000 | 5 | 9 | 14 | 1 | 0 | 116 | 112 | 94 | 9 | 58 | 1061 | 1047 | 1090 | 52 | 68 | 20 | 27 | 48 | 3 | 1 | 33.33% | 10 | 2 | 80.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 26.7% | 8.6% | 80.9% | 89.5 | Unlucky |
7 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 116 | 112 | 94 | 9 | 31 | 1061 | 1047 | 1090 | 52 | 40 | 6 | 4 | 28 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 16.7% | 9.7% | 87.5% | 97.2 | FUN |
8 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 116 | 112 | 94 | 9 | 39 | 1061 | 1047 | 1090 | 52 | 32 | 10 | 4 | 19 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 25.0% | 7.7% | 81.3% | 88.9 | Unlucky |
9 | Eagles | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 13 | -4 | 1 | 0.250 | 9 | 17 | 26 | 0 | 0 | 116 | 112 | 94 | 9 | 92 | 1061 | 1047 | 1090 | 52 | 88 | 19 | 8 | 39 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 40.0% | 9.8% | 85.2% | 95.0 | FUN |
10 | Phantoms | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 116 | 112 | 94 | 9 | 86 | 1061 | 1047 | 1090 | 52 | 80 | 31 | 16 | 49 | 3 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 63.6% | 8.1% | 92.5% | 100.6 | DULL |
11 | Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 116 | 112 | 94 | 9 | 52 | 1061 | 1047 | 1090 | 52 | 34 | 6 | 10 | 22 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 60.0% | 7.7% | 94.1% | 101.8 | DULL |
12 | islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 116 | 112 | 94 | 9 | 40 | 1061 | 1047 | 1090 | 52 | 36 | 6 | 12 | 25 | 3 | 3 | 100.00% | 6 | 2 | 66.67% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 60.0% | 15.0% | 88.9% | 103.9 | FUN |
13 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 116 | 112 | 94 | 9 | 71 | 1061 | 1047 | 1090 | 52 | 96 | 34 | 16 | 56 | 2 | 1 | 50.00% | 8 | 1 | 87.50% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 28.6% | 7.0% | 88.5% | 95.6 | Unlucky |
14 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 116 | 112 | 94 | 9 | 55 | 1061 | 1047 | 1090 | 52 | 33 | 9 | 4 | 22 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 57.1% | 9.1% | 87.9% | 97.0 | FUN |
15 | Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 3 | 6 | 0 | 0 | 116 | 112 | 94 | 9 | 27 | 1061 | 1047 | 1090 | 52 | 45 | 18 | 10 | 20 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 33.3% | 11.1% | 88.9% | 100.0 | FUN |
16 | Barracuda | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 24 | 17 | 7 | 8 | 0.667 | 24 | 40 | 64 | 0 | 0 | 116 | 112 | 94 | 9 | 244 | 1061 | 1047 | 1090 | 52 | 194 | 64 | 38 | 125 | 20 | 5 | 25.00% | 18 | 4 | 77.78% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 59.4% | 9.8% | 91.2% | 101.1 | LUCKY |
17 | Condors | 6 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 19 | 17 | 2 | 8 | 0.667 | 19 | 37 | 56 | 0 | 0 | 116 | 112 | 94 | 9 | 217 | 1061 | 1047 | 1090 | 52 | 174 | 51 | 42 | 136 | 18 | 3 | 16.67% | 21 | 2 | 90.48% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 51.6% | 8.8% | 90.2% | 99.0 | Unlucky |
18 | Iowa Wild | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 116 | 112 | 94 | 9 | 88 | 1061 | 1047 | 1090 | 52 | 54 | 13 | 18 | 55 | 7 | 3 | 42.86% | 9 | 0 | 100.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 66.7% | 8.0% | 96.3% | 104.3 | DULL |
19 | Reign | 6 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 22 | 20 | 2 | 9 | 0.750 | 22 | 39 | 61 | 0 | 0 | 116 | 112 | 94 | 9 | 260 | 1061 | 1047 | 1090 | 52 | 190 | 48 | 45 | 139 | 28 | 4 | 14.29% | 17 | 4 | 76.47% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 52.9% | 8.5% | 89.5% | 97.9 | Unlucky |
20 | Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 116 | 112 | 94 | 9 | 54 | 1061 | 1047 | 1090 | 52 | 67 | 28 | 16 | 52 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 38.5% | 9.3% | 86.6% | 95.8 | FUN |
21 | Gulls | 6 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 26 | 22 | 4 | 8 | 0.667 | 26 | 46 | 72 | 0 | 0 | 116 | 112 | 94 | 9 | 216 | 1061 | 1047 | 1090 | 52 | 226 | 67 | 42 | 138 | 18 | 8 | 44.44% | 20 | 6 | 70.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 52.9% | 12.0% | 90.3% | 102.3 | FUN |
22 | Texas Stars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 116 | 112 | 94 | 9 | 70 | 1061 | 1047 | 1090 | 52 | 67 | 22 | 20 | 57 | 10 | 3 | 30.00% | 9 | 2 | 77.78% | 1 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 66.7% | 12.9% | 92.5% | 105.4 | LUCKY |
23 | Canucks | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 24 | 20 | 4 | 10 | 0.833 | 24 | 42 | 66 | 0 | 0 | 116 | 112 | 94 | 9 | 255 | 1061 | 1047 | 1090 | 52 | 201 | 45 | 42 | 139 | 24 | 6 | 25.00% | 21 | 6 | 71.43% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 56.3% | 9.4% | 90.0% | 99.5 | FUN |
24 | Comets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 116 | 112 | 94 | 9 | 102 | 1061 | 1047 | 1090 | 52 | 54 | 9 | 21 | 40 | 12 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 47.4% | 8.8% | 79.6% | 88.5 | Unlucky |
25 | W-B/Scranton Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 116 | 112 | 94 | 9 | 46 | 1061 | 1047 | 1090 | 52 | 28 | 9 | 12 | 20 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 57.1% | 10.9% | 89.3% | 100.2 | FUN |
26 | Roadrunners | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 18 | 10 | 8 | 6 | 1.000 | 18 | 31 | 49 | 0 | 0 | 116 | 112 | 94 | 9 | 111 | 1061 | 1047 | 1090 | 52 | 95 | 23 | 31 | 56 | 9 | 4 | 44.44% | 12 | 5 | 58.33% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 73.7% | 16.2% | 89.5% | 105.7 | FUN |
27 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 116 | 112 | 94 | 9 | 35 | 1061 | 1047 | 1090 | 52 | 30 | 9 | 6 | 27 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 25.0% | 5.7% | 90.0% | 95.7 | Unlucky |
28 | Admirals | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 116 | 112 | 94 | 9 | 71 | 1061 | 1047 | 1090 | 52 | 73 | 24 | 16 | 46 | 9 | 3 | 33.33% | 8 | 0 | 100.00% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 50.0% | 11.3% | 93.2% | 104.4 | LUCKY |
29 | Moose | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 4 | 1.000 | 8 | 16 | 24 | 0 | 0 | 116 | 112 | 94 | 9 | 92 | 1061 | 1047 | 1090 | 52 | 64 | 20 | 14 | 41 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 85.7% | 8.7% | 95.3% | 104.0 | DULL |
30 | Silver Knights | 9 | 6 | 1 | 0 | 1 | 0 | 0 | 1 | 50 | 35 | 15 | 15 | 0.833 | 50 | 93 | 143 | 0 | 0 | 116 | 112 | 94 | 9 | 355 | 1061 | 1047 | 1090 | 52 | 303 | 82 | 80 | 217 | 43 | 15 | 34.88% | 34 | 8 | 76.47% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 56.5% | 14.1% | 88.4% | 102.5 | FUN |
31 | Firebirds | 7 | 5 | 1 | 0 | 0 | 1 | 0 | 0 | 32 | 21 | 11 | 11 | 0.786 | 32 | 58 | 90 | 0 | 0 | 116 | 112 | 94 | 9 | 276 | 1061 | 1047 | 1090 | 52 | 256 | 69 | 52 | 168 | 25 | 8 | 32.00% | 24 | 4 | 83.33% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 58.5% | 11.6% | 91.8% | 103.4 | LUCKY |
_Vs Division | 46 | 26 | 8 | 0 | 4 | 4 | 1 | 3 | 197 | 152 | 45 | 69 | 0.750 | 197 | 355 | 552 | 0 | 0 | 116 | 112 | 94 | 9 | 1823 | 1061 | 1047 | 1090 | 52 | 1544 | 426 | 341 | 1062 | 176 | 49 | 27.84% | 155 | 34 | 78.06% | 0 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 55.6% | 10.8% | 90.2% | 101.0 | FUN | |
_Vs Conference | 63 | 35 | 13 | 0 | 5 | 5 | 2 | 3 | 266 | 210 | 56 | 92 | 0.730 | 266 | 482 | 748 | 0 | 0 | 116 | 112 | 94 | 9 | 2472 | 1061 | 1047 | 1090 | 52 | 2148 | 609 | 480 | 1464 | 232 | 66 | 28.45% | 220 | 46 | 79.09% | 1 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 54.9% | 10.8% | 90.2% | 101.0 | FUN | |
_Since Last GM Reset | 82 | 41 | 24 | 0 | 5 | 7 | 2 | 3 | 329 | 290 | 39 | 106 | 0.646 | 329 | 597 | 926 | 2 | 0 | 116 | 112 | 94 | 9 | 3236 | 1061 | 1047 | 1090 | 52 | 2808 | 782 | 656 | 1889 | 302 | 79 | 26.16% | 299 | 59 | 80.27% | 1 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 52.0% | 10.2% | 89.7% | 99.8 | FUN | |
Total | 82 | 41 | 24 | 0 | 5 | 7 | 2 | 3 | 329 | 290 | 39 | 106 | 0.646 | 329 | 597 | 926 | 2 | 0 | 116 | 112 | 94 | 9 | 3236 | 1061 | 1047 | 1090 | 52 | 2808 | 782 | 656 | 1889 | 302 | 79 | 26.16% | 299 | 59 | 80.27% | 1 | 1670 | 3256 | 51.29% | 1584 | 3063 | 51.71% | 727 | 1435 | 50.66% | 2021 | 1402 | 1889 | 611 | 1061 | 537 | 52.0% | 10.2% | 89.7% | 99.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3256 |
Neutral Zone Start | 1435 |
Defensive Zone Start | 3063 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 3981 |
Faceoffs Lost | 3773 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.9 | 9.57 |
2nd Period | 25.7 | 20.31 |
3rd Period | 39.0 | 30.68 |
Overtime | 39.6 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.8 | 1.65 |
3rd Period | 3.9 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 247 |
---|---|
PP Goal | 79 |
PK Goal | 1 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 25 | 23 |
Lost | 11 | 13 |
Overtime Lost | 5 | 5 |
PP Attempt | 302 |
---|---|
PP Goal | 79 |
PK Attempt | 299 |
PK Goal Against | 59 |
Home | |
---|---|
Shots For | 39.5 |
Shots Against | 34.2 |
Goals For | 4.0 |
Goals Against | 3.5 |
Hits | 23.0 |
Shots Blocked | 9.5 |
Pim | 8.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,458,377$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Calgary | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 40$ | 30$ | $ | $ | $ |
Attendance | 52175 | 17469 | |||
Attendance PCT | 63.63% | 42.61% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 1699 - 56.62% | 94,890$ | 3,890,491$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,458,377$ | 3,130,499$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
576,383$ | 0$ | 576,383$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 18,593$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
---|---|---|---|
TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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