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 |
# | Nom du Joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire Moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ty Dellandrea (R) | X | 100.00 | 73 | 45 | 74 | 76 | 78 | 81 | 81 | 76 | 72 | 75 | 75 | 72 | 71 | 60 | 68 | 70 | 35 | 0 | 0 | 20 | 3 | 900,000$ | ||||
2 | Christian Fischer (R) | X | X | 99.00 | 84 | 38 | 77 | 78 | 89 | 81 | 84 | 80 | 74 | 80 | 77 | 71 | 72 | 71 | 66 | 70 | 55 | 0 | 0 | 23 | 1 | 1,000,000$ | |||
3 | Glenn Gawdin (R) | X | 100.00 | 80 | 45 | 75 | 76 | 78 | 82 | 83 | 77 | 72 | 76 | 76 | 70 | 71 | 65 | 65 | 70 | 55 | 0 | 0 | 23 | 3 | 850,000$ | ||||
4 | Jeremy Bracco (R) | X | 100.00 | 63 | 25 | 90 | 82 | 68 | 83 | 80 | 78 | 63 | 78 | 73 | 65 | 72 | 65 | 65 | 70 | 45 | 0 | 0 | 23 | 3 | 900,000$ | ||||
5 | Josh Norris (R) | X | 100.00 | 74 | 40 | 78 | 77 | 77 | 82 | 76 | 76 | 71 | 76 | 76 | 68 | 73 | 65 | 67 | 70 | 55 | 0 | 0 | 21 | 3 | 925,000$ | ||||
6 | Denis Malgin (R) | X | X | 99.00 | 68 | 30 | 90 | 90 | 74 | 83 | 81 | 84 | 75 | 83 | 81 | 70 | 78 | 71 | 71 | 70 | 55 | 0 | 0 | 23 | 2 | 1,225,000$ | |||
7 | Erik Haula | X | 100.00 | 72 | 32 | 80 | 80 | 72 | 78 | 76 | 78 | 65 | 80 | 77 | 68 | 76 | 84 | 82 | 70 | 28 | 0 | 0 | 29 | 1 | 2,000,000$ | ||||
8 | Robert Thomas (R) (A) | X | X | 100.00 | 68 | 30 | 83 | 85 | 79 | 84 | 77 | 83 | 75 | 82 | 79 | 67 | 72 | 69 | 69 | 70 | 44 | 0 | 0 | 21 | 2 | 950,000$ | |||
9 | Denis Guryanov (R) | X | X | 100.00 | 76 | 35 | 84 | 84 | 84 | 83 | 82 | 84 | 62 | 80 | 82 | 67 | 78 | 75 | 72 | 70 | 55 | 0 | 0 | 23 | 1 | 1,500,000$ | |||
10 | Henrik Borgstrom | X | 100.00 | 72 | 35 | 80 | 79 | 83 | 82 | 82 | 79 | 74 | 78 | 77 | 68 | 70 | 68 | 68 | 70 | 55 | 0 | 0 | 23 | 1 | 950,000$ | ||||
11 | Ryan Donato (A) | X | X | 100.00 | 62 | 30 | 82 | 80 | 72 | 77 | 73 | 83 | 72 | 78 | 80 | 69 | 73 | 62 | 62 | 70 | 55 | 0 | 0 | 24 | 1 | 950,000$ | |||
12 | Trent Frederic | X | 100.00 | 85 | 40 | 75 | 79 | 83 | 79 | 77 | 79 | 72 | 76 | 78 | 69 | 72 | 57 | 58 | 70 | 55 | 0 | 0 | 22 | 1 | 900,000$ | ||||
13 | William Lagesson (R) | X | 100.00 | 84 | 48 | 74 | 75 | 85 | 80 | 76 | 75 | 50 | 74 | 62 | 83 | 60 | 68 | 67 | 70 | 55 | 0 | 0 | 24 | 1 | 850,000$ | ||||
14 | Brandon Carlo (C) | X | 99.00 | 94 | 45 | 72 | 77 | 87 | 81 | 81 | 77 | 50 | 79 | 64 | 87 | 59 | 71 | 71 | 70 | 55 | 0 | 0 | 24 | 1 | 1,650,000$ | ||||
15 | Gustav Forsling (R) | X | 97.03 | 73 | 30 | 86 | 83 | 79 | 79 | 79 | 82 | 50 | 82 | 70 | 86 | 70 | 72 | 72 | 70 | 43 | 0 | 0 | 24 | 3 | 1,750,000$ | ||||
16 | Ethan Bear (R) | X | 99.00 | 80 | 45 | 79 | 84 | 80 | 84 | 87 | 78 | 50 | 80 | 68 | 84 | 71 | 75 | 75 | 70 | 55 | 0 | 0 | 23 | 1 | 2,000,000$ | ||||
17 | Casey Fitzgerald (R) | X | 100.00 | 85 | 45 | 70 | 76 | 82 | 80 | 76 | 72 | 50 | 73 | 59 | 80 | 58 | 53 | 64 | 70 | 55 | 0 | 0 | 23 | 1 | 850,000$ | ||||
18 | Josh Mahura (R) | X | 100.00 | 75 | 35 | 78 | 79 | 80 | 79 | 74 | 78 | 50 | 78 | 60 | 82 | 60 | 67 | 66 | 70 | 55 | 0 | 0 | 22 | 2 | 900,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Aidan Dudas (R) | X | 100.00 | 67 | 40 | 78 | 78 | 70 | 82 | 84 | 75 | 73 | 74 | 72 | 74 | 71 | 60 | 73 | 70 | 25 | 0 | 0 | 20 | 3 | 900,000$ | ||||
2 | Cam Hillis (R) | X | 100.00 | 60 | 30 | 76 | 75 | 66 | 83 | 75 | 75 | 73 | 74 | 73 | 72 | 71 | 60 | 70 | 70 | 23 | 0 | 0 | 20 | 3 | 900,000$ | ||||
3 | Jan Jenik (R) | X | X | 100.00 | 76 | 47 | 68 | 78 | 73 | 81 | 69 | 77 | 65 | 75 | 74 | 66 | 74 | 60 | 60 | 70 | 48 | 0 | 0 | 20 | 3 | 950,000$ | |||
4 | Damir Zhafyarov (R) | X | 100.00 | 52 | 15 | 87 | 82 | 64 | 73 | 71 | 75 | 63 | 74 | 74 | 63 | 74 | 64 | 70 | 70 | 23 | 0 | 0 | 26 | 1 | 850,000$ | ||||
5 | Ziyat Paigin (R) | X | 100.00 | 85 | 40 | 78 | 67 | 85 | 73 | 71 | 68 | 50 | 69 | 56 | 79 | 53 | 58 | 60 | 70 | 30 | 0 | 0 | 25 | 1 | 880,000$ | ||||
MOYENNE D'ÉQUIPE | 99.70 | 74 | 37 | 79 | 79 | 78 | 80 | 78 | 78 | 64 | 77 | 72 | 73 | 70 | 66 | 68 | 70 | 46 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du Gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Felix Sandström (R) | 100.00 | 85 | 82 | 83 | 84 | 86 | 86 | 87 | 88 | 87 | 86 | 85 | 62 | 65 | 70 | 55 | 0 | 0 | |
2 | Michael DiPietro (R) | 98.00 | 86 | 86 | 86 | 84 | 92 | 88 | 88 | 88 | 90 | 86 | 87 | 66 | 63 | 70 | 50 | 0 | 0 | |
Rayé | ||||||||||||||||||||
1 | Jon Gillies | 100.00 | 84 | 83 | 82 | 95 | 84 | 86 | 87 | 86 | 85 | 85 | 83 | 74 | 72 | 70 | 25 | 0 | 0 | |
2 | Matej Tomek (R) | 100.00 | 82 | 82 | 82 | 85 | 83 | 83 | 82 | 83 | 83 | 82 | 81 | 54 | 54 | 70 | 23 | 0 | 0 | |
MOYENNE D'ÉQUIPE | 99.50 | 84 | 83 | 83 | 87 | 86 | 86 | 86 | 86 | 86 | 85 | 84 | 64 | 64 | 70 | 38 | 0 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Dallas Eakins | 85 | 80 | 85 | 80 | 75 | 75 | 70 | USA | 53 | 1 | 600,000$ |
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 |
# | Nom du Joueur | Nom de l'Équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ethan Bear | Connecticut Whale (NYR) | D | 27 | 5 | 18 | 23 | 19 | 14 | 0 | 35 | 31 | 56 | 16 | 35 | 8.93% | 38 | 598 | 22.15 | 3 | 5 | 8 | 36 | 89 | 0 | 0 | 0 | 0 | 55 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 |
2 | Denis Malgin | Connecticut Whale (NYR) | C/RW | 27 | 6 | 15 | 21 | 6 | 0 | 0 | 16 | 43 | 79 | 22 | 65 | 7.59% | 4 | 512 | 18.98 | 2 | 3 | 5 | 24 | 89 | 0 | 0 | 0 | 2 | 71 | 2 | 1 | 48.00% | 50 | 0 | 0 | 0 | 0 | 0.82 | 1 | 1 | 0 | 0 | 0 | 0 | 3 | 1 |
3 | Robert Thomas | Connecticut Whale (NYR) | C/RW | 25 | 8 | 11 | 19 | -3 | 2 | 0 | 14 | 31 | 68 | 14 | 57 | 11.76% | 4 | 384 | 15.38 | 1 | 6 | 7 | 18 | 78 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 51.35% | 111 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
4 | Brandon Carlo | Connecticut Whale (NYR) | D | 27 | 6 | 12 | 18 | 10 | 38 | 0 | 67 | 22 | 50 | 23 | 34 | 12.00% | 27 | 579 | 21.46 | 1 | 4 | 5 | 26 | 76 | 0 | 0 | 0 | 1 | 44 | 1 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 |
5 | Denis Guryanov | Connecticut Whale (NYR) | LW/RW | 27 | 9 | 9 | 18 | 6 | 4 | 0 | 43 | 27 | 86 | 17 | 64 | 10.47% | 3 | 439 | 16.27 | 2 | 1 | 3 | 27 | 89 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 50.00% | 42 | 0 | 0 | 0 | 0 | 0.82 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 |
6 | Gustav Forsling | Connecticut Whale (NYR) | D | 23 | 3 | 15 | 18 | 10 | 4 | 0 | 14 | 35 | 44 | 17 | 44 | 6.82% | 35 | 494 | 21.50 | 1 | 3 | 4 | 27 | 76 | 0 | 0 | 0 | 1 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 |
7 | Henrik Borgstrom | Connecticut Whale (NYR) | C | 27 | 8 | 7 | 15 | 9 | 2 | 0 | 42 | 41 | 54 | 14 | 29 | 14.81% | 3 | 433 | 16.05 | 2 | 2 | 4 | 17 | 86 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 51.74% | 574 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
8 | Josh Mahura | Connecticut Whale (NYR) | D | 27 | 2 | 13 | 15 | 7 | 2 | 0 | 25 | 27 | 40 | 12 | 28 | 5.00% | 28 | 560 | 20.75 | 1 | 3 | 4 | 25 | 77 | 0 | 0 | 0 | 0 | 27 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Christian Fischer | Connecticut Whale (NYR) | C/LW | 27 | 9 | 5 | 14 | 2 | 12 | 0 | 34 | 40 | 61 | 13 | 44 | 14.75% | 3 | 434 | 16.08 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 2 | 66 | 0 | 2 | 50.31% | 161 | 0 | 0 | 0 | 0 | 0.65 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
10 | Ryan Donato | Connecticut Whale (NYR) | C/LW | 27 | 6 | 8 | 14 | 0 | 0 | 0 | 6 | 26 | 74 | 18 | 42 | 8.11% | 4 | 451 | 16.71 | 2 | 2 | 4 | 12 | 69 | 0 | 0 | 0 | 1 | 46 | 2 | 2 | 57.58% | 33 | 0 | 0 | 0 | 0 | 0.62 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
11 | William Lagesson | Connecticut Whale (NYR) | D | 27 | 2 | 10 | 12 | -7 | 14 | 0 | 36 | 14 | 25 | 9 | 16 | 8.00% | 39 | 503 | 18.66 | 1 | 0 | 1 | 10 | 15 | 0 | 0 | 0 | 0 | 52 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
12 | Joseph Blandisi | New York Rangers | C/LW | 25 | 8 | 3 | 11 | 5 | 12 | 0 | 31 | 16 | 43 | 10 | 29 | 18.60% | 1 | 280 | 11.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 45.00% | 20 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
13 | Trent Frederic | Connecticut Whale (NYR) | C | 27 | 7 | 4 | 11 | 0 | 10 | 0 | 66 | 40 | 57 | 22 | 49 | 12.28% | 6 | 420 | 15.56 | 0 | 1 | 1 | 13 | 69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.01% | 543 | 0 | 0 | 1 | 0 | 0.52 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 2 |
14 | Casey Fitzgerald | Connecticut Whale (NYR) | D | 27 | 2 | 8 | 10 | -9 | 40 | 0 | 35 | 25 | 17 | 6 | 8 | 11.76% | 25 | 437 | 16.21 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Glenn Gawdin | Connecticut Whale (NYR) | C | 27 | 3 | 6 | 9 | 6 | 8 | 0 | 16 | 31 | 46 | 12 | 25 | 6.52% | 2 | 338 | 12.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 48 | 0 | 0 | 53.82% | 353 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
16 | Josh Norris | Connecticut Whale (NYR) | C | 27 | 0 | 9 | 9 | 0 | 8 | 0 | 24 | 34 | 40 | 11 | 27 | 0.00% | 2 | 357 | 13.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.98% | 398 | 0 | 0 | 0 | 0 | 0.50 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Jeremy Bracco | Connecticut Whale (NYR) | RW | 27 | 4 | 3 | 7 | 4 | 4 | 0 | 3 | 13 | 27 | 7 | 34 | 14.81% | 2 | 320 | 11.88 | 0 | 0 | 0 | 1 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.31% | 26 | 0 | 0 | 0 | 0 | 0.44 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Erik Haula | Connecticut Whale (NYR) | LW | 12 | 3 | 4 | 7 | -2 | 2 | 0 | 5 | 10 | 20 | 3 | 20 | 15.00% | 2 | 176 | 14.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 70.59% | 17 | 0 | 0 | 0 | 0 | 0.79 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
19 | Ty Dellandrea | Connecticut Whale (NYR) | C | 24 | 2 | 3 | 5 | 2 | 4 | 0 | 9 | 7 | 13 | 3 | 10 | 15.38% | 3 | 123 | 5.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49.09% | 55 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20 | Jan Jenik | Connecticut Whale (NYR) | LW/RW | 17 | 0 | 3 | 3 | 3 | 0 | 0 | 12 | 5 | 18 | 4 | 12 | 0.00% | 0 | 162 | 9.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 35.00% | 20 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21 | Ziyat Paigin | Connecticut Whale (NYR) | D | 6 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 2 | 4 | 0 | 1 | 0.00% | 5 | 71 | 11.90 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 510 | 93 | 166 | 259 | 65 | 180 | 0 | 537 | 520 | 922 | 253 | 673 | 10.09% | 236 | 8080 | 15.84 | 16 | 30 | 46 | 237 | 846 | 0 | 0 | 0 | 10 | 488 | 14 | 6 | 50.56% | 2403 | 0 | 0 | 2 | 0 | 0.64 | 3 | 8 | 0 | 0 | 0 | 14 | 14 | 12 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du Gardien | Nom de l'Équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Michael DiPietro | Connecticut Whale (NYR) | 25 | 13 | 8 | 4 | 0.895 | 2.98 | 1492 | 4 | 2 | 74 | 705 | 0 | 0 | 1 | 0.500 | 8 | 25 | 0 | 1 | 0 | 1 |
2 | Jon Gillies | Connecticut Whale (NYR) | 2 | 1 | 1 | 0 | 0.898 | 2.50 | 120 | 2 | 0 | 5 | 49 | 0 | 0 | 0 | 0.000 | 0 | 2 | 1 | 0 | 0 | 0 |
3 | Felix Sandström | Connecticut Whale (NYR) | 1 | 0 | 0 | 0 | 0.800 | 3.75 | 16 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 0.000 | 0 | 0 | 26 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 28 | 14 | 9 | 4 | 0.895 | 2.95 | 1629 | 6 | 2 | 80 | 759 | 0 | 0 | 1 | 0.500 | 8 | 27 | 27 | 1 | 0 | 1 |
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 |
Nom du Joueur | Nom de l'Équipe | POS | Âge | Date de Naissance | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Type | Salaire Actuel | Salaire Restant | Salaire Moyen | Salaire Moyen Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aidan Dudas | Connecticut Whale (NYR) | C | 20 | 1999-01-02 05:56:48 | Yes | 185 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 900,000$ | 622,340$ | 900,000$ | 622,340$ | 0$ | 0$ | No | 900,000$ | 900,000$ | ||||||||
Brandon Carlo | Connecticut Whale (NYR) | D | 24 | 1995-01-22 04:43:10 | No | 203 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 1,650,000$ | 1,140,957$ | 1,650,000$ | 1,140,957$ | 0$ | 0$ | No | ||||||||||
Cam Hillis | Connecticut Whale (NYR) | C | 20 | 1999-01-02 07:04:28 | Yes | 168 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 900,000$ | 622,340$ | 900,000$ | 622,340$ | 0$ | 0$ | No | 900,000$ | 900,000$ | ||||||||
Casey Fitzgerald | Connecticut Whale (NYR) | D | 23 | 1996-01-22 05:13:25 | Yes | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 850,000$ | 587,765$ | 850,000$ | 587,765$ | 0$ | 0$ | No | ||||||||||
Christian Fischer | Connecticut Whale (NYR) | C/LW | 23 | 1996-01-22 07:42:31 | Yes | 212 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 691,489$ | 1,000,000$ | 691,489$ | 0$ | 0$ | No | ||||||||||
Damir Zhafyarov | Connecticut Whale (NYR) | LW | 26 | 1993-01-22 14:31:14 | Yes | 143 Lbs | 5 ft8 | No | No | No | 1 | Pro & Farm | 850,000$ | 587,765$ | 850,000$ | 587,765$ | 0$ | 0$ | No | ||||||||||
Denis Guryanov | Connecticut Whale (NYR) | LW/RW | 23 | 1996-01-02 04:23:07 | Yes | 201 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,500,000$ | 1,037,234$ | 1,500,000$ | 1,037,234$ | 0$ | 0$ | No | ||||||||||
Denis Malgin | Connecticut Whale (NYR) | C/RW | 23 | 1996-01-22 05:01:38 | Yes | 176 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 1,225,000$ | 847,074$ | 1,225,000$ | 847,074$ | 0$ | 0$ | No | 1,225,000$ | |||||||||
Erik Haula | Connecticut Whale (NYR) | LW | 29 | 1990-01-22 04:00:11 | No | 190 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 2,000,000$ | 1,382,978$ | 2,000,000$ | 1,382,978$ | 0$ | 0$ | No | ||||||||||
Ethan Bear | Connecticut Whale (NYR) | D | 23 | 1996-01-02 05:13:26 | Yes | 196 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 2,000,000$ | 1,382,978$ | 2,000,000$ | 1,382,978$ | 0$ | 0$ | No | ||||||||||
Felix Sandström | Connecticut Whale (NYR) | G | 23 | 1996-01-22 02:33:19 | Yes | 192 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 1,175,000$ | 812,500$ | 1,175,000$ | 812,500$ | 0$ | 0$ | No | 1,175,000$ | 1,175,000$ | ||||||||
Glenn Gawdin | Connecticut Whale (NYR) | C | 23 | 1996-01-02 07:13:00 | Yes | 192 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 850,000$ | 587,765$ | 850,000$ | 587,765$ | 0$ | 0$ | No | 850,000$ | 850,000$ | ||||||||
Gustav Forsling | Connecticut Whale (NYR) | D | 24 | 1995-01-22 01:20:49 | Yes | 185 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 1,750,000$ | 1,210,106$ | 1,750,000$ | 1,210,106$ | 0$ | 0$ | No | 1,750,000$ | 1,750,000$ | ||||||||
Henrik Borgstrom | Connecticut Whale (NYR) | C | 23 | 1996-01-02 05:10:15 | No | 198 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 950,000$ | 656,914$ | 950,000$ | 656,914$ | 0$ | 0$ | No | ||||||||||
Jan Jenik | Connecticut Whale (NYR) | LW/RW | 20 | 1999-01-02 07:19:45 | Yes | 181 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 950,000$ | 656,914$ | 950,000$ | 656,914$ | 0$ | 0$ | No | 950,000$ | 950,000$ | ||||||||
Jeremy Bracco | Connecticut Whale (NYR) | RW | 23 | 1996-01-02 07:57:42 | Yes | 181 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 900,000$ | 622,340$ | 900,000$ | 622,340$ | 0$ | 0$ | No | 900,000$ | 900,000$ | ||||||||
Jon Gillies | Connecticut Whale (NYR) | G | 26 | 1993-01-02 05:04:19 | No | 223 Lbs | 6 ft6 | No | No | No | 1 | Pro & Farm | 850,000$ | 587,765$ | 850,000$ | 587,765$ | 0$ | 0$ | No | ||||||||||
Josh Mahura | Connecticut Whale (NYR) | D | 22 | 1997-01-22 14:36:29 | Yes | 192 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 900,000$ | 622,340$ | 900,000$ | 622,340$ | 0$ | 0$ | No | 900,000$ | |||||||||
Josh Norris | Connecticut Whale (NYR) | C | 21 | 1998-01-02 08:10:55 | Yes | 192 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 925,000$ | 639,627$ | 925,000$ | 639,627$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Matej Tomek | Connecticut Whale (NYR) | G | 23 | 1996-01-22 05:16:38 | Yes | 183 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 800,000$ | 553,191$ | 800,000$ | 553,191$ | 0$ | 0$ | No | ||||||||||
Michael DiPietro | Connecticut Whale (NYR) | G | 21 | 1998-01-22 07:21:01 | Yes | 201 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 950,000$ | 656,914$ | 950,000$ | 656,914$ | 0$ | 0$ | No | 950,000$ | |||||||||
Robert Thomas | Connecticut Whale (NYR) | C/RW | 21 | 1998-01-22 02:37:10 | Yes | 187 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 950,000$ | 656,914$ | 950,000$ | 656,914$ | 0$ | 0$ | No | 950,000$ | |||||||||
Ryan Donato | Connecticut Whale (NYR) | C/LW | 24 | 1995-01-22 04:37:31 | No | 181 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 950,000$ | 656,914$ | 950,000$ | 656,914$ | 0$ | 0$ | No | ||||||||||
Trent Frederic | Connecticut Whale (NYR) | C | 22 | 1997-01-22 04:45:11 | No | 203 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 900,000$ | 622,340$ | 900,000$ | 622,340$ | 0$ | 0$ | No | ||||||||||
Ty Dellandrea | Connecticut Whale (NYR) | C | 20 | 1999-01-01 10:32:35 | Yes | 190 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 900,000$ | 622,340$ | 900,000$ | 622,340$ | 0$ | 0$ | No | 900,000$ | 900,000$ | ||||||||
William Lagesson | Connecticut Whale (NYR) | D | 24 | 1995-01-02 09:03:31 | Yes | 207 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 850,000$ | 587,765$ | 850,000$ | 587,765$ | 0$ | 0$ | No | ||||||||||
Ziyat Paigin | Connecticut Whale (NYR) | D | 25 | 1994-01-22 04:44:26 | Yes | 209 Lbs | 6 ft6 | No | No | No | 1 | Pro & Farm | 880,000$ | 608,510$ | 880,000$ | 608,510$ | 0$ | 0$ | No |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
27 | 22.93 | 191 Lbs | 6 ft1 | 1.81 | 1,085,370$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Ryan Donato | Robert Thomas | Denis Malgin | 26 | 0 | 0 | 5 |
2 | Christian Fischer | Henrik Borgstrom | Denis Guryanov | 26 | 0 | 0 | 5 |
3 | Erik Haula | Trent Frederic | Josh Norris | 26 | 0 | 0 | 5 |
4 | Glenn Gawdin | Ty Dellandrea | Jeremy Bracco | 22 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Brandon Carlo | Josh Mahura | 34 | 1 | 2 | 2 | |
2 | Gustav Forsling | William Lagesson | 33 | 1 | 2 | 2 | |
3 | Casey Fitzgerald | Ethan Bear | 33 | 1 | 2 | 2 | |
4 | Casey Fitzgerald | Ethan Bear | 0 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Denis Guryanov | Robert Thomas | Denis Malgin | 55 | 0 | 0 | 5 |
2 | Christian Fischer | Henrik Borgstrom | Jeremy Bracco | 45 | 0 | 0 | 5 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Gustav Forsling | Ethan Bear | 55 | 0 | 0 | 5 | |
2 | Brandon Carlo | Josh Mahura | 45 | 0 | 0 | 5 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Christian Fischer | Denis Malgin | 55 | 1 | 4 | 0 |
2 | Glenn Gawdin | Ryan Donato | 45 | 1 | 4 | 0 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Brandon Carlo | Gustav Forsling | 55 | 1 | 4 | 0 |
2 | Ethan Bear | William Lagesson | 45 | 1 | 4 | 0 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | Christian Fischer | 55 | 0 | 5 | 0 | Brandon Carlo | Gustav Forsling | 55 | 0 | 5 | 0 |
2 | Glenn Gawdin | 45 | 0 | 5 | 0 | Ethan Bear | William Lagesson | 45 | 0 | 5 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Trent Frederic | Erik Haula | 60 | 1 | 2 | 2 |
2 | Josh Norris | Ty Dellandrea | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Casey Fitzgerald | Josh Mahura | 60 | 1 | 2 | 2 |
2 | William Lagesson | Ethan Bear | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Denis Guryanov | Robert Thomas | Denis Malgin | Gustav Forsling | Ethan Bear |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Christian Fischer | Glenn Gawdin | Denis Malgin | Gustav Forsling | Brandon Carlo |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Ty Dellandrea, Jeremy Bracco, Henrik Borgstrom | Trent Frederic, Josh Norris | Erik Haula |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Ethan Bear, Brandon Carlo, Gustav Forsling | William Lagesson | Josh Mahura, Casey Fitzgerald |
Tirs de Pénalité |
---|
Denis Malgin, Denis Guryanov, Erik Haula, Ryan Donato, Josh Norris |
Gardien |
---|
#1 : Michael DiPietro, #2 : Felix Sandström |
Lignes d'Attaque Perso. en Prol. |
---|
Robert Thomas, Denis Guryanov, Denis Malgin, Christian Fischer, Henrik Borgstrom, Ryan Donato, Ryan Donato, Trent Frederic, Josh Norris, Erik Haula, Ty Dellandrea |
Lignes de Défense Perso. en Prol. |
---|
Gustav Forsling, Brandon Carlo, Ethan Bear, Josh Mahura, William Lagesson |
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 |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
1 | Adirondack Phantoms | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 36 | 26 | 29 | 3 | 24 | 310 | 274 | 323 | 11 | 22 | 3 | 10 | 12 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
2 | Albany Devils | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 0.667 | 10 | 20 | 30 | 0 | 0 | 36 | 26 | 29 | 3 | 125 | 310 | 274 | 323 | 11 | 105 | 23 | 20 | 69 | 13 | 4 | 30.77% | 8 | 2 | 75.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
3 | Binghamton Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 36 | 26 | 29 | 3 | 64 | 310 | 274 | 323 | 11 | 47 | 19 | 8 | 40 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
4 | Bridgeport Sound Tigers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 36 | 26 | 29 | 3 | 36 | 310 | 274 | 323 | 11 | 26 | 11 | 12 | 27 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
5 | CCCP Red Army | 4 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 16 | 13 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 13 | 9 | 4 | 6 | 0.750 | 16 | 30 | 46 | 0 | 0 | 36 | 26 | 29 | 3 | 135 | 310 | 274 | 323 | 11 | 118 | 38 | 18 | 82 | 15 | 2 | 13.33% | 7 | 0 | 100.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
6 | Charlotte Checkers | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 4 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.750 | 8 | 15 | 23 | 0 | 1 | 36 | 26 | 29 | 3 | 76 | 310 | 274 | 323 | 11 | 49 | 13 | 16 | 31 | 12 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
7 | Chicago Wolves | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 36 | 26 | 29 | 3 | 28 | 310 | 274 | 323 | 11 | 19 | 6 | 8 | 19 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
8 | Chicoutimi Saguenéens | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 36 | 26 | 29 | 3 | 25 | 310 | 274 | 323 | 11 | 32 | 10 | 4 | 23 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
9 | Joliette Sportif | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 36 | 26 | 29 | 3 | 16 | 310 | 274 | 323 | 11 | 28 | 8 | 6 | 20 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
10 | Laval Chiefs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 36 | 26 | 29 | 3 | 28 | 310 | 274 | 323 | 11 | 30 | 10 | 16 | 21 | 1 | 0 | 0.00% | 6 | 4 | 33.33% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
11 | Manitoba Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 6 | 10 | 16 | 1 | 0 | 36 | 26 | 29 | 3 | 82 | 310 | 274 | 323 | 11 | 57 | 21 | 10 | 35 | 12 | 1 | 8.33% | 5 | 0 | 100.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
12 | Oklahoma City Barons | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 36 | 26 | 29 | 3 | 25 | 310 | 274 | 323 | 11 | 31 | 4 | 12 | 12 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
13 | Roberval Dwarfs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 36 | 26 | 29 | 3 | 70 | 310 | 274 | 323 | 11 | 72 | 22 | 12 | 41 | 5 | 2 | 40.00% | 6 | 2 | 66.67% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
14 | San Antonio Rampage | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 36 | 26 | 29 | 3 | 36 | 310 | 274 | 323 | 11 | 20 | 12 | 6 | 18 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
15 | The Nuuk Vikings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 36 | 26 | 29 | 3 | 35 | 310 | 274 | 323 | 11 | 32 | 9 | 6 | 22 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
Total | 27 | 14 | 9 | 0 | 0 | 3 | 0 | 1 | 91 | 82 | 9 | 13 | 4 | 7 | 0 | 0 | 2 | 0 | 0 | 31 | 45 | -14 | 14 | 10 | 2 | 0 | 0 | 1 | 0 | 1 | 60 | 37 | 23 | 32 | 0.593 | 91 | 164 | 255 | 1 | 2 | 36 | 26 | 29 | 3 | 910 | 310 | 274 | 323 | 11 | 760 | 233 | 184 | 531 | 98 | 16 | 16.33% | 77 | 18 | 76.62% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 | |
16 | Trois-Rivières Draveurs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 36 | 26 | 29 | 3 | 31 | 310 | 274 | 323 | 11 | 27 | 7 | 8 | 21 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
17 | Wilkes-Barre/Scranton Penguins | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 3 | 0.750 | 4 | 5 | 9 | 0 | 1 | 36 | 26 | 29 | 3 | 74 | 310 | 274 | 323 | 11 | 45 | 17 | 12 | 38 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
_Since Last GM Reset | 27 | 14 | 9 | 0 | 0 | 3 | 0 | 1 | 91 | 82 | 9 | 13 | 4 | 7 | 0 | 0 | 2 | 0 | 0 | 31 | 45 | -14 | 14 | 10 | 2 | 0 | 0 | 1 | 0 | 1 | 60 | 37 | 23 | 32 | 0.593 | 91 | 164 | 255 | 1 | 2 | 36 | 26 | 29 | 3 | 910 | 310 | 274 | 323 | 11 | 760 | 233 | 184 | 531 | 98 | 16 | 16.33% | 77 | 18 | 76.62% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 | |
_Vs Conference | 22 | 11 | 7 | 0 | 0 | 3 | 0 | 1 | 77 | 67 | 10 | 10 | 3 | 5 | 0 | 0 | 2 | 0 | 0 | 26 | 35 | -9 | 12 | 8 | 2 | 0 | 0 | 1 | 0 | 1 | 51 | 32 | 19 | 26 | 0.591 | 77 | 140 | 217 | 1 | 2 | 36 | 26 | 29 | 3 | 778 | 310 | 274 | 323 | 11 | 620 | 196 | 136 | 437 | 84 | 13 | 15.48% | 58 | 11 | 81.03% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 | |
_Vs Division | 13 | 4 | 2 | 0 | 0 | 1 | 0 | 0 | 43 | 36 | 7 | 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 22 | -3 | 6 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 24 | 14 | 10 | 9 | 0.346 | 43 | 78 | 121 | 0 | 2 | 36 | 26 | 29 | 3 | 470 | 310 | 274 | 323 | 11 | 365 | 105 | 88 | 259 | 54 | 7 | 12.96% | 35 | 4 | 88.57% | 0 | 533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% | 672 | 473 | 617 | 194 | 340 | 169 |
Total Pour les Joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
27 | 32 | L1 | 91 | 164 | 255 | 910 | 760 | 233 | 184 | 531 | 1 | 2 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
27 | 14 | 9 | 0 | 3 | 0 | 1 | 91 | 82 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
13 | 4 | 7 | 0 | 2 | 0 | 0 | 31 | 45 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 10 | 2 | 0 | 1 | 0 | 1 | 60 | 37 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 3 | 0 | 2 | 0 | 0 |
Tentatives en Avantage Numérique | Buts en Avantage Numérique | % en Avantage Numérique | Tentatives en Désavantage Numérique | Buts Contre en Désavantage Numérique | % en Désavantage Numérique | Buts Pour en Désavantage Numérique |
---|---|---|---|---|---|---|
98 | 16 | 16.33% | 77 | 18 | 76.62% | 0 |
Tirs en 1e Période | Tirs en 2e Période | Tirs en 3e Période | Tirs en 4e Période | Buts en 1e Période | Buts en 2e Période | Buts en 3e Période | Buts en 4e Période |
---|---|---|---|---|---|---|---|
310 | 274 | 323 | 11 | 36 | 26 | 29 | 3 |
Mises en Jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en Zone Offensive | Total en Zone Offensive | % Gagnées en Zone Offensive | Gagnées en Zone Défensive | Total en Zone Défensive | % Gagnées en Zone Défensive | Gagnées en Zone Neutre | Total en Zone Neutre | % Gagnées en Zone Neutre |
533 | 1036 | 51.45% | 465 | 888 | 52.36% | 204 | 428 | 47.66% |
Temps Avec la Rondelle | |||||
---|---|---|---|---|---|
En Zone Offensive | Contrôle en Zone Offensive | En Zone Défensive | Contrôle en Zone Défensive | En Zone Neutre | Contrôle en Zone Neutre |
672 | 473 | 617 | 194 | 340 | 169 |
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 |
Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité de l'Aréna | 2000 | 1000 |
Prix des Billets | 35 | 20 |
Assistance | 26,000 | 13,000 |
Assistance PCT | 100.00% | 100.00% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
27 | 3000 - 100.00% | 90,000$ | 1,170,000$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
1,083,670$ | 2,930,500$ | 2,930,500$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
15,588$ | 897,126$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
2,430,000$ | 130 | 18,779$ | 2,441,270$ |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |