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 | Boo Nieves | X | 100.00 | 79 | 68 | 89 | 76 | 79 | 64 | 70 | 59 | 66 | 62 | 51 | 71 | 48 | 59 | 59 | 0 | 50 | 62 | 0 | 25 | 3 | 850,000$ | ||||
2 | Oliver Wahlstrom (R) | X | 100.00 | 77 | 75 | 81 | 80 | 75 | 63 | 65 | 58 | 50 | 54 | 58 | 64 | 55 | 44 | 44 | 0 | 50 | 59 | 0 | 19 | 4 | 925,001$ | ||||
3 | Charles Hudon | X | X | 100.00 | 83 | 49 | 95 | 74 | 66 | 60 | 64 | 63 | 33 | 56 | 57 | 56 | 75 | 59 | 59 | 0 | 50 | 59 | 0 | 25 | 3 | 750,000$ | |||
4 | Eric Cornel | X | X | 100.00 | 79 | 73 | 93 | 64 | 72 | 79 | 86 | 53 | 67 | 46 | 55 | 67 | 55 | 51 | 51 | 0 | 50 | 59 | 0 | 23 | 3 | 850,000$ | |||
5 | Ryan Poehling (R) | X | X | 100.00 | 79 | 44 | 94 | 77 | 69 | 56 | 67 | 57 | 33 | 54 | 56 | 68 | 25 | 46 | 46 | 0 | 50 | 59 | 0 | 20 | 3 | 925,000$ | |||
6 | Mikhail Maltsev (R) | X | X | 100.00 | 82 | 77 | 93 | 67 | 77 | 62 | 64 | 56 | 70 | 49 | 58 | 66 | 55 | 44 | 44 | 0 | 50 | 58 | 0 | 21 | 2 | 650,000$ | |||
7 | Ryan MacInnis | X | 100.00 | 74 | 52 | 95 | 64 | 71 | 60 | 80 | 54 | 50 | 57 | 51 | 64 | 25 | 44 | 44 | 0 | 50 | 57 | 0 | 23 | 3 | 850,000$ | ||||
8 | Rasmus Kupari (R) | X | 100.00 | 75 | 69 | 89 | 65 | 69 | 55 | 56 | 53 | 66 | 43 | 58 | 62 | 55 | 44 | 44 | 0 | 50 | 55 | 0 | 19 | 4 | 894,167$ | ||||
9 | Sergey Tolchinsky | X | X | 100.00 | 45 | 35 | 92 | 75 | 48 | 46 | 29 | 32 | 35 | 32 | 31 | 65 | 42 | 37 | 34 | 0 | 50 | 44 | 0 | 24 | 4 | 625,000$ | |||
10 | Jonathan Dahlen (R) | X | 100.00 | 41 | 45 | 45 | 45 | 55 | 39 | 39 | 41 | 45 | 41 | 41 | 45 | 43 | 32 | 30 | 0 | 50 | 41 | 0 | 21 | 2 | 925,000$ | ||||
11 | Aapeli Rasanen (R) | X | 100.00 | 33 | 37 | 37 | 37 | 67 | 33 | 33 | 33 | 37 | 33 | 33 | 37 | 35 | 32 | 30 | 0 | 50 | 36 | 0 | 21 | 2 | 525,000$ | ||||
12 | Ville Heinola (R) | X | 100.00 | 76 | 66 | 99 | 80 | 66 | 50 | 50 | 50 | 25 | 47 | 39 | 62 | 37 | 44 | 44 | 0 | 50 | 57 | 0 | 18 | 4 | 925,002$ | ||||
13 | Nicolas Beaudin (R) | X | 100.00 | 69 | 63 | 83 | 66 | 63 | 68 | 74 | 48 | 25 | 39 | 41 | 58 | 39 | 44 | 44 | 0 | 50 | 55 | 0 | 19 | 4 | 894,168$ | ||||
14 | Julius Honka (R) | X | 100.00 | 48 | 35 | 85 | 64 | 55 | 58 | 40 | 38 | 35 | 39 | 37 | 61 | 47 | 42 | 36 | 0 | 50 | 50 | 0 | 23 | 3 | 950,000$ | ||||
15 | Jacob Moverare (R) | X | 100.00 | 36 | 40 | 40 | 40 | 65 | 35 | 35 | 36 | 40 | 36 | 36 | 40 | 38 | 32 | 30 | 0 | 50 | 39 | 0 | 21 | 2 | 720,000$ | ||||
16 | Anthony Florentino (R) | X | 100.00 | 31 | 37 | 37 | 37 | 76 | 29 | 29 | 31 | 37 | 31 | 31 | 37 | 33 | 32 | 30 | 0 | 50 | 36 | 0 | 24 | 3 | 560,000$ | ||||
17 | Ryan Pilon (R) | X | 100.00 | 32 | 37 | 37 | 37 | 68 | 31 | 31 | 32 | 37 | 32 | 32 | 37 | 34 | 32 | 30 | 0 | 50 | 36 | 0 | 22 | 1 | 525,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Hudson Fasching | X | 100.00 | 81 | 75 | 91 | 65 | 76 | 75 | 78 | 58 | 50 | 53 | 60 | 69 | 60 | 52 | 52 | 0 | 50 | 61 | 0 | 24 | 2 | 850,000$ | ||||
2 | Nikolai Prokhorkin (R) | X | 100.00 | 73 | 43 | 95 | 78 | 69 | 62 | 62 | 65 | 62 | 68 | 59 | 59 | 75 | 47 | 47 | 0 | 50 | 61 | 0 | 26 | 0 | 0$ | ||||
3 | Cole Ully (R) | X | X | 100.00 | 31 | 37 | 37 | 37 | 46 | 29 | 29 | 31 | 37 | 31 | 31 | 37 | 33 | 32 | 30 | 0 | 50 | 34 | 0 | 24 | 2 | 650,000$ | |||
MOYENNE D'ÉQUIPE | 100.00 | 61 | 53 | 75 | 61 | 67 | 53 | 54 | 47 | 45 | 45 | 46 | 56 | 45 | 42 | 41 | 0 | 50 | 51 |
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 | Michael Dipietro (R) | 100.00 | 59 | 67 | 84 | 73 | 58 | 61 | 53 | 62 | 57 | 56 | 30 | 44 | 44 | 0 | 50 | 59 | 0 | |
2 | Ilya Sorokin (R) | 100.00 | 38 | 43 | 40 | 60 | 37 | 35 | 35 | 35 | 35 | 35 | 34 | 32 | 30 | 0 | 50 | 39 | 0 | |
Rayé | ||||||||||||||||||||
1 | Andrey Makarov | 100.00 | 39 | 45 | 49 | 64 | 38 | 39 | 42 | 37 | 35 | 50 | 48 | 35 | 32 | 0 | 50 | 42 | 0 | |
2 | Colton Point (R) | 100.00 | 34 | 37 | 36 | 84 | 34 | 33 | 33 | 33 | 33 | 33 | 33 | 32 | 30 | 0 | 50 | 39 | 0 | |
MOYENNE D'ÉQUIPE | 100.00 | 43 | 48 | 52 | 70 | 42 | 42 | 41 | 42 | 40 | 44 | 36 | 36 | 34 | 0 | 50 | 45 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
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 | Boo Nieves | Heat (Cal) | C | 75 | 27 | 71 | 98 | -23 | 42 | 0 | 135 | 316 | 348 | 108 | 260 | 7.76% | 79 | 1744 | 23.25 | 5 | 16 | 21 | 49 | 180 | 0 | 1 | 1 | 8 | 157 | 2 | 1 | 56.72% | 2290 | 0 | 0 | 0 | 2 | 1.12 | 0 | 4 | 0 | 0 | 0 | 3 | 5 | 2 |
2 | Ryan Poehling | Heat (Cal) | C/LW | 75 | 40 | 38 | 78 | -16 | 16 | 0 | 95 | 213 | 383 | 124 | 255 | 10.44% | 73 | 1637 | 21.83 | 7 | 11 | 18 | 59 | 181 | 1 | 0 | 1 | 9 | 162 | 0 | 1 | 38.10% | 147 | 0 | 0 | 1 | 2 | 0.95 | 3 | 4 | 0 | 0 | 0 | 4 | 4 | 2 |
3 | Eric Cornel | Heat (Cal) | C/RW | 75 | 25 | 47 | 72 | -15 | 34 | 20 | 111 | 156 | 314 | 96 | 224 | 7.96% | 55 | 1596 | 21.29 | 7 | 9 | 16 | 53 | 194 | 0 | 0 | 0 | 4 | 94 | 3 | 0 | 61.43% | 223 | 0 | 0 | 0 | 0 | 0.90 | 2 | 3 | 2 | 0 | 2 | 1 | 2 | 2 |
4 | Oliver Wahlstrom | Heat (Cal) | RW | 75 | 26 | 43 | 69 | -55 | 33 | 15 | 149 | 190 | 360 | 108 | 236 | 7.22% | 57 | 1506 | 20.09 | 5 | 9 | 14 | 59 | 176 | 0 | 1 | 1 | 1 | 70 | 5 | 1 | 47.65% | 170 | 0 | 0 | 0 | 1 | 0.92 | 0 | 2 | 0 | 1 | 2 | 4 | 1 | 3 |
5 | Charles Hudon | Heat (Cal) | LW/RW | 75 | 26 | 39 | 65 | -50 | 36 | 0 | 131 | 133 | 337 | 77 | 227 | 7.72% | 34 | 1528 | 20.37 | 4 | 10 | 14 | 57 | 175 | 0 | 0 | 0 | 2 | 87 | 0 | 0 | 29.52% | 105 | 0 | 0 | 0 | 0 | 0.85 | 0 | 2 | 0 | 0 | 0 | 1 | 4 | 3 |
6 | Ryan MacInnis | Heat (Cal) | C | 75 | 20 | 43 | 63 | -46 | 12 | 0 | 62 | 190 | 210 | 59 | 161 | 9.52% | 54 | 1427 | 19.04 | 5 | 7 | 12 | 34 | 176 | 0 | 0 | 0 | 0 | 2 | 2 | 2 | 45.91% | 1919 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 3 |
7 | Mikhail Maltsev | Heat (Cal) | C/LW | 60 | 18 | 41 | 59 | -1 | 22 | 0 | 105 | 199 | 248 | 84 | 231 | 7.26% | 39 | 1204 | 20.08 | 4 | 16 | 20 | 50 | 160 | 0 | 0 | 0 | 9 | 166 | 5 | 1 | 58.65% | 1526 | 0 | 0 | 0 | 1 | 0.98 | 1 | 7 | 0 | 0 | 0 | 2 | 2 | 3 |
8 | Rasmus Kupari | Heat (Cal) | C | 75 | 33 | 21 | 54 | -48 | 41 | 5 | 129 | 216 | 292 | 77 | 198 | 11.30% | 64 | 1236 | 16.48 | 2 | 1 | 3 | 13 | 40 | 0 | 0 | 0 | 0 | 36 | 4 | 0 | 54.34% | 1347 | 0 | 0 | 0 | 0 | 0.87 | 1 | 1 | 0 | 0 | 1 | 3 | 2 | 1 |
9 | Sergey Tolchinsky | Heat (Cal) | LW/RW | 75 | 10 | 32 | 42 | -43 | 0 | 0 | 9 | 174 | 179 | 41 | 101 | 5.59% | 62 | 1182 | 15.77 | 0 | 2 | 2 | 3 | 22 | 1 | 0 | 1 | 2 | 48 | 0 | 0 | 22.86% | 105 | 0 | 0 | 0 | 0 | 0.71 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
10 | Nicolas Beaudin | Heat (Cal) | D | 75 | 10 | 22 | 32 | -33 | 62 | 0 | 206 | 64 | 124 | 26 | 66 | 8.06% | 178 | 1828 | 24.39 | 2 | 2 | 4 | 39 | 193 | 0 | 0 | 0 | 0 | 137 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
11 | Jonathan Dahlen | Heat (Cal) | LW | 75 | 6 | 9 | 15 | -57 | 10 | 0 | 56 | 40 | 94 | 28 | 61 | 6.38% | 11 | 1200 | 16.01 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 43.66% | 71 | 0 | 0 | 0 | 0 | 0.25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 |
12 | Aapeli Rasanen | Heat (Cal) | C | 75 | 1 | 4 | 5 | -58 | 44 | 0 | 111 | 13 | 4 | 2 | 6 | 25.00% | 58 | 1131 | 15.08 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.78% | 148 | 0 | 0 | 0 | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Jacob Moverare | Heat (Cal) | D | 82 | 2 | 3 | 5 | -42 | 54 | 0 | 159 | 17 | 26 | 8 | 14 | 7.69% | 89 | 1455 | 17.75 | 1 | 0 | 1 | 6 | 138 | 0 | 0 | 0 | 1 | 108 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Julius Honka | Heat (Cal) | D | 22 | 1 | 4 | 5 | 0 | 4 | 0 | 8 | 14 | 24 | 9 | 16 | 4.17% | 45 | 520 | 23.65 | 0 | 0 | 0 | 7 | 57 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
15 | Anthony Florentino | Heat (Cal) | D | 75 | 0 | 4 | 4 | -50 | 24 | 0 | 91 | 6 | 11 | 4 | 8 | 0.00% | 50 | 1182 | 15.77 | 0 | 0 | 0 | 2 | 49 | 0 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Ryan Pilon | Heat (Cal) | D | 75 | 0 | 4 | 4 | -34 | 30 | 0 | 117 | 6 | 6 | 5 | 9 | 0.00% | 63 | 1414 | 18.85 | 0 | 1 | 1 | 2 | 140 | 0 | 0 | 0 | 1 | 117 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 1139 | 245 | 425 | 670 | -571 | 464 | 40 | 1674 | 1947 | 2960 | 856 | 2073 | 8.28% | 1011 | 21797 | 19.14 | 42 | 84 | 126 | 433 | 1895 | 2 | 2 | 4 | 37 | 1292 | 22 | 6 | 52.35% | 8055 | 0 | 0 | 1 | 6 | 0.61 | 8 | 25 | 2 | 1 | 5 | 22 | 23 | 22 |
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 | Ilya Sorokin | Heat (Cal) | 56 | 11 | 36 | 2 | 0.877 | 5.35 | 2735 | 2 | 0 | 244 | 1978 | 0 | 0 | 0 | 0.625 | 16 | 51 | 75 | 1 | 0 | 1 |
2 | Michael Dipietro | Heat (Cal) | 24 | 8 | 15 | 1 | 0.908 | 4.13 | 1292 | 0 | 0 | 89 | 971 | 0 | 2 | 0 | 1.000 | 2 | 24 | 0 | 1 | 2 | 2 |
Stats d'équipe Total ou en Moyenne | 80 | 19 | 51 | 3 | 0.887 | 4.96 | 4028 | 2 | 0 | 333 | 2949 | 0 | 2 | 0 | 0.667 | 18 | 75 | 75 | 2 | 2 | 3 |
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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aapeli Rasanen | Heat (Cal) | C | 21 | 1998-06-01 | Yes | 196 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 525,000$ | 52,500$ | 0$ | No | 525,000$ | Lien | |||||||||
Andrey Makarov | Heat (Cal) | G | 26 | 1993-04-20 | No | 178 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
Anthony Florentino | Heat (Cal) | D | 24 | 1995-01-30 | Yes | 227 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 560,000$ | 56,000$ | 0$ | No | 560,000$ | 560,000$ | Lien | ||||||||
Boo Nieves | Heat (Cal) | C | 25 | 1994-01-23 | No | 212 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 850,000$ | 85,000$ | 0$ | No | 850,000$ | 850,000$ | Lien | ||||||||
Charles Hudon | Heat (Cal) | LW/RW | 25 | 1994-06-23 | No | 188 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 750,000$ | 75,000$ | 0$ | No | 750,000$ | 750,000$ | Lien | ||||||||
Cole Ully | Heat (Cal) | LW/RW | 24 | 1995-02-20 | Yes | 164 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 650,000$ | 65,000$ | 0$ | No | 650,000$ | Lien | |||||||||
Colton Point | Heat (Cal) | G | 21 | 1998-03-07 | Yes | 219 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 525,000$ | 52,500$ | 0$ | No | 525,000$ | Lien | |||||||||
Eric Cornel | Heat (Cal) | C/RW | 23 | 1996-04-11 | No | 194 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 850,000$ | 85,000$ | 0$ | No | 850,000$ | 850,000$ | Lien | ||||||||
Hudson Fasching | Heat (Cal) | RW | 24 | 1995-07-28 | No | 209 Lbs | 6 ft2 | Yes | No | No | 2 | Pro & Farm | 850,000$ | 85,000$ | 0$ | No | 850,000$ | Lien | |||||||||
Ilya Sorokin | Heat (Cal) | G | 24 | 1995-08-04 | Yes | 167 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 900,000$ | 100,000$ | 0$ | No | 1,100,000$ | Lien | |||||||||
Jacob Moverare | Heat (Cal) | D | 21 | 1998-08-31 | Yes | 198 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 720,000$ | 72,000$ | 0$ | No | 720,000$ | Lien | |||||||||
Jonathan Dahlen | Heat (Cal) | LW | 21 | 1997-12-20 | Yes | 180 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 92,500$ | 0$ | No | 925,000$ | Lien | |||||||||
Julius Honka | Heat (Cal) | D | 23 | 1995-12-03 | Yes | 180 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 950,000$ | 95,000$ | 0$ | No | 950,000$ | 950,000$ | Lien | ||||||||
Michael Dipietro | Heat (Cal) | G | 20 | 1999-06-09 | Yes | 200 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 792,500$ | 79,250$ | 0$ | No | 792,500$ | 792,500$ | Lien | ||||||||
Mikhail Maltsev | Heat (Cal) | C/LW | 21 | 1998-03-12 | Yes | 205 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 650,000$ | 65,000$ | 0$ | No | 650,000$ | Lien | |||||||||
Nicolas Beaudin | Heat (Cal) | D | 19 | 1999-10-07 | Yes | 174 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 894,168$ | 89,417$ | 0$ | No | 894,168$ | 894,168$ | 894,168$ | Lien | |||||||
Nikolai Prokhorkin | Heat (Cal) | C | 26 | 1993-09-17 | Yes | 183 Lbs | 6 ft2 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
Oliver Wahlstrom | Heat (Cal) | RW | 19 | 2000-06-12 | Yes | 205 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 925,001$ | 92,500$ | 0$ | No | 925,001$ | 925,001$ | 925,001$ | Lien | |||||||
Rasmus Kupari | Heat (Cal) | C | 19 | 2000-03-15 | Yes | 185 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 894,167$ | 89,417$ | 0$ | No | 894,167$ | 894,167$ | 894,167$ | Lien | |||||||
Ryan MacInnis | Heat (Cal) | C | 23 | 1996-02-13 | No | 185 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 850,000$ | 85,000$ | 0$ | No | 850,000$ | 850,000$ | Lien | ||||||||
Ryan Pilon | Heat (Cal) | D | 22 | 1996-10-10 | Yes | 206 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 525,000$ | 52,500$ | 0$ | No | Lien | ||||||||||
Ryan Poehling | Heat (Cal) | C/LW | 20 | 1999-01-02 | Yes | 183 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 925,000$ | 92,500$ | 0$ | No | 925,000$ | 925,000$ | Lien | ||||||||
Sergey Tolchinsky | Heat (Cal) | LW/RW | 24 | 1995-02-03 | No | 170 Lbs | 5 ft8 | No | No | No | 4 | Pro & Farm | 625,000$ | 62,500$ | 0$ | No | 625,000$ | 625,000$ | 625,000$ | Lien | |||||||
Ville Heinola | Heat (Cal) | D | 18 | 2001-03-02 | Yes | 181 Lbs | 5 ft11 | No | No | No | 4 | Pro & Farm | 925,002$ | 92,500$ | 0$ | No | 925,002$ | 925,002$ | 925,002$ | Lien |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
24 | 22.21 | 191 Lbs | 6 ft1 | 2.54 | 710,868$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Ryan Poehling | Boo Nieves | Eric Cornel | 40 | 1 | 2 | 2 |
2 | Charles Hudon | Ryan MacInnis | Oliver Wahlstrom | 30 | 1 | 2 | 2 |
3 | Sergey Tolchinsky | Rasmus Kupari | Jonathan Dahlen | 20 | 1 | 2 | 2 |
4 | Jonathan Dahlen | Aapeli Rasanen | Boo Nieves | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Nicolas Beaudin | 40 | 1 | 2 | 2 | ||
2 | Jacob Moverare | Ryan Pilon | 30 | 1 | 2 | 2 | |
3 | Anthony Florentino | Aapeli Rasanen | 20 | 1 | 2 | 2 | |
4 | Nicolas Beaudin | 10 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Ryan Poehling | Boo Nieves | Eric Cornel | 60 | 1 | 2 | 2 |
2 | Charles Hudon | Ryan MacInnis | Oliver Wahlstrom | 40 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Nicolas Beaudin | 60 | 1 | 2 | 2 | ||
2 | Jacob Moverare | Ryan Pilon | 40 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Boo Nieves | Ryan Poehling | 60 | 1 | 2 | 2 |
2 | Eric Cornel | Charles Hudon | 40 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Nicolas Beaudin | 60 | 1 | 2 | 2 | |
2 | Jacob Moverare | Ryan Pilon | 40 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | Boo Nieves | 60 | 1 | 2 | 2 | Nicolas Beaudin | 60 | 1 | 2 | 2 | |
2 | Ryan Poehling | 40 | 1 | 2 | 2 | Jacob Moverare | Ryan Pilon | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Boo Nieves | Ryan Poehling | 60 | 1 | 2 | 2 |
2 | Eric Cornel | Charles Hudon | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Nicolas Beaudin | 60 | 1 | 2 | 2 | |
2 | Jacob Moverare | Ryan Pilon | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Ryan Poehling | Boo Nieves | Eric Cornel | Nicolas Beaudin |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Ryan Poehling | Boo Nieves | Eric Cornel | Nicolas Beaudin |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Rasmus Kupari, Sergey Tolchinsky, Oliver Wahlstrom | Rasmus Kupari, Sergey Tolchinsky | Oliver Wahlstrom |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Anthony Florentino, Jacob Moverare, Ryan Pilon | Anthony Florentino | Jacob Moverare, Ryan Pilon |
Tirs de Pénalité |
---|
Boo Nieves, Ryan Poehling, Eric Cornel, Charles Hudon, Oliver Wahlstrom |
Gardien |
---|
#1 : , #2 : Ilya Sorokin |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | Admirals | 4 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 11 | 16 | -5 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 8 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 0.250 | 11 | 18 | 29 | 0 | 0 | 101 | 82 | 68 | 7 | 154 | 1010 | 1003 | 1009 | 33 | 151 | 61 | 16 | 82 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
2 | Baby Hawks | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 16 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 7 | 11 | 18 | 0 | 0 | 101 | 82 | 68 | 7 | 89 | 1010 | 1003 | 1009 | 33 | 141 | 37 | 31 | 57 | 12 | 2 | 16.67% | 12 | 3 | 75.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
3 | Bears | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 101 | 82 | 68 | 7 | 54 | 1010 | 1003 | 1009 | 33 | 98 | 34 | 22 | 44 | 8 | 2 | 25.00% | 9 | 3 | 66.67% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
4 | Bruins | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 101 | 82 | 68 | 7 | 69 | 1010 | 1003 | 1009 | 33 | 81 | 29 | 8 | 29 | 6 | 1 | 16.67% | 3 | 0 | 100.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
5 | Cabaret Lady Mary Ann | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 8 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 14 | 23 | 37 | 0 | 0 | 101 | 82 | 68 | 7 | 152 | 1010 | 1003 | 1009 | 33 | 84 | 19 | 4 | 56 | 2 | 1 | 50.00% | 2 | 1 | 50.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
6 | Caroline | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 101 | 82 | 68 | 7 | 60 | 1010 | 1003 | 1009 | 33 | 108 | 26 | 10 | 50 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
7 | Chiefs | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 0.667 | 11 | 19 | 30 | 0 | 0 | 101 | 82 | 68 | 7 | 113 | 1010 | 1003 | 1009 | 33 | 140 | 30 | 12 | 61 | 13 | 1 | 7.69% | 5 | 1 | 80.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
8 | Chill | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 19 | -12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 101 | 82 | 68 | 7 | 89 | 1010 | 1003 | 1009 | 33 | 141 | 22 | 22 | 59 | 7 | 2 | 28.57% | 10 | 4 | 60.00% | 1 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
9 | Comets | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 23 | -8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 2 | 0.250 | 15 | 28 | 43 | 0 | 0 | 101 | 82 | 68 | 7 | 148 | 1010 | 1003 | 1009 | 33 | 190 | 50 | 20 | 65 | 14 | 3 | 21.43% | 4 | 1 | 75.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
10 | Cougars | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 101 | 82 | 68 | 7 | 61 | 1010 | 1003 | 1009 | 33 | 93 | 21 | 9 | 43 | 11 | 2 | 18.18% | 2 | 2 | 0.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
11 | Crunch | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 9 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 101 | 82 | 68 | 7 | 83 | 1010 | 1003 | 1009 | 33 | 98 | 34 | 16 | 38 | 11 | 2 | 18.18% | 8 | 0 | 100.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
12 | Jayhawks | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 22 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0.000 | 13 | 20 | 33 | 0 | 0 | 101 | 82 | 68 | 7 | 156 | 1010 | 1003 | 1009 | 33 | 190 | 58 | 24 | 80 | 8 | 0 | 0.00% | 12 | 1 | 91.67% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
13 | Las Vegas | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 18 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.250 | 8 | 15 | 23 | 0 | 0 | 101 | 82 | 68 | 7 | 119 | 1010 | 1003 | 1009 | 33 | 190 | 47 | 26 | 72 | 8 | 1 | 12.50% | 11 | 0 | 100.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
14 | Manchots | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 101 | 82 | 68 | 7 | 75 | 1010 | 1003 | 1009 | 33 | 92 | 21 | 12 | 39 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
15 | Marlies | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 9 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.250 | 4 | 5 | 9 | 0 | 0 | 101 | 82 | 68 | 7 | 71 | 1010 | 1003 | 1009 | 33 | 82 | 24 | 14 | 61 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
16 | Minnesota | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 16 | 22 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 11 | 15 | -4 | 1 | 0.167 | 16 | 25 | 41 | 0 | 0 | 101 | 82 | 68 | 7 | 158 | 1010 | 1003 | 1009 | 33 | 154 | 60 | 22 | 67 | 2 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
17 | Monarchs | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 16 | 23 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0.250 | 16 | 29 | 45 | 0 | 0 | 101 | 82 | 68 | 7 | 207 | 1010 | 1003 | 1009 | 33 | 219 | 62 | 14 | 107 | 10 | 1 | 10.00% | 7 | 3 | 57.14% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
18 | Monsters | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 101 | 82 | 68 | 7 | 73 | 1010 | 1003 | 1009 | 33 | 74 | 30 | 6 | 42 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
19 | Monsters | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 12 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 8 | 2 | 3 | 0.500 | 11 | 20 | 31 | 0 | 0 | 101 | 82 | 68 | 7 | 110 | 1010 | 1003 | 1009 | 33 | 151 | 50 | 20 | 71 | 7 | 2 | 28.57% | 10 | 3 | 70.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
20 | Oceanics | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 7 | 15 | -8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 12 | -7 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.167 | 7 | 13 | 20 | 0 | 0 | 101 | 82 | 68 | 7 | 66 | 1010 | 1003 | 1009 | 33 | 139 | 53 | 22 | 64 | 11 | 3 | 27.27% | 11 | 1 | 90.91% | 1 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
21 | Oil Kings | 5 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 11 | 32 | -21 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 17 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 15 | -11 | 0 | 0.000 | 11 | 19 | 30 | 0 | 0 | 101 | 82 | 68 | 7 | 148 | 1010 | 1003 | 1009 | 33 | 270 | 95 | 42 | 100 | 13 | 2 | 15.38% | 16 | 4 | 75.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
22 | Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 101 | 82 | 68 | 7 | 54 | 1010 | 1003 | 1009 | 33 | 132 | 36 | 14 | 52 | 8 | 3 | 37.50% | 2 | 0 | 100.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
23 | Rocket | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 101 | 82 | 68 | 7 | 72 | 1010 | 1003 | 1009 | 33 | 101 | 21 | 21 | 42 | 7 | 1 | 14.29% | 6 | 0 | 100.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
24 | Senators | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 101 | 82 | 68 | 7 | 67 | 1010 | 1003 | 1009 | 33 | 93 | 35 | 16 | 47 | 6 | 3 | 50.00% | 8 | 3 | 62.50% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
25 | Sharks | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 13 | 22 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 0 | 0.000 | 13 | 23 | 36 | 0 | 0 | 101 | 82 | 68 | 7 | 161 | 1010 | 1003 | 1009 | 33 | 178 | 50 | 16 | 93 | 11 | 2 | 18.18% | 7 | 1 | 85.71% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
26 | Sound Tigers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 101 | 82 | 68 | 7 | 80 | 1010 | 1003 | 1009 | 33 | 56 | 17 | 8 | 41 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
27 | Spiders | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 101 | 82 | 68 | 7 | 68 | 1010 | 1003 | 1009 | 33 | 80 | 36 | 10 | 40 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
28 | Stars | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 14 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 8 | 13 | 21 | 0 | 0 | 101 | 82 | 68 | 7 | 107 | 1010 | 1003 | 1009 | 33 | 171 | 38 | 10 | 71 | 12 | 1 | 8.33% | 5 | 1 | 80.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
29 | Thunder | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 101 | 82 | 68 | 7 | 82 | 1010 | 1003 | 1009 | 33 | 59 | 23 | 14 | 50 | 6 | 1 | 16.67% | 6 | 1 | 83.33% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
Total | 82 | 17 | 59 | 0 | 0 | 2 | 2 | 2 | 253 | 398 | -145 | 41 | 8 | 32 | 0 | 0 | 0 | 1 | 0 | 126 | 197 | -71 | 41 | 9 | 27 | 0 | 0 | 2 | 1 | 2 | 127 | 201 | -74 | 42 | 0.256 | 253 | 430 | 683 | 0 | 0 | 101 | 82 | 68 | 7 | 3037 | 1010 | 1003 | 1009 | 33 | 3820 | 1145 | 485 | 1752 | 239 | 43 | 17.99% | 201 | 45 | 77.61% | 2 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 | |
30 | Wolf Pack | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 4 | 1.000 | 9 | 15 | 24 | 0 | 0 | 101 | 82 | 68 | 7 | 91 | 1010 | 1003 | 1009 | 33 | 64 | 26 | 4 | 29 | 6 | 1 | 16.67% | 2 | 1 | 50.00% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
_Since Last GM Reset | 82 | 17 | 59 | 0 | 0 | 2 | 2 | 2 | 253 | 398 | -145 | 41 | 8 | 32 | 0 | 0 | 0 | 1 | 0 | 126 | 197 | -71 | 41 | 9 | 27 | 0 | 0 | 2 | 1 | 2 | 127 | 201 | -74 | 42 | 0.256 | 253 | 430 | 683 | 0 | 0 | 101 | 82 | 68 | 7 | 3037 | 1010 | 1003 | 1009 | 33 | 3820 | 1145 | 485 | 1752 | 239 | 43 | 17.99% | 201 | 45 | 77.61% | 2 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 | |
_Vs Conference | 42 | 7 | 32 | 0 | 0 | 1 | 1 | 1 | 132 | 215 | -83 | 21 | 2 | 19 | 0 | 0 | 0 | 0 | 0 | 58 | 105 | -47 | 21 | 5 | 13 | 0 | 0 | 1 | 1 | 1 | 74 | 110 | -36 | 18 | 0.214 | 132 | 222 | 354 | 0 | 0 | 101 | 82 | 68 | 7 | 1576 | 1010 | 1003 | 1009 | 33 | 2081 | 586 | 267 | 873 | 123 | 18 | 14.63% | 106 | 21 | 80.19% | 0 | 1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% | 1771 | 1217 | 2138 | 600 | 1038 | 488 |
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 |
82 | 42 | L4 | 253 | 430 | 683 | 3037 | 3820 | 1145 | 485 | 1752 | 0 | 0 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
82 | 17 | 59 | 0 | 2 | 2 | 2 | 253 | 398 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 8 | 32 | 0 | 0 | 1 | 0 | 126 | 197 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 9 | 27 | 0 | 2 | 1 | 2 | 127 | 201 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 7 | 0 | 0 | 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 |
---|---|---|---|---|---|---|
239 | 43 | 17.99% | 201 | 45 | 77.61% | 2 |
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 |
---|---|---|---|---|---|---|---|
1010 | 1003 | 1009 | 33 | 101 | 82 | 68 | 7 |
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 |
1397 | 2844 | 49.12% | 1444 | 2967 | 48.67% | 717 | 1446 | 49.59% |
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 |
1771 | 1217 | 2138 | 600 | 1038 | 488 |
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 | 15 |
Assistance | 78,624 | 39,416 |
Assistance PCT | 95.88% | 96.14% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe | 0 | 2879 - 95.97% | 81,539$ | 3,343,080$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
1,614,767$ | 1,706,084$ | 1,716,084$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
9,226$ | 1,624,797$ | 22 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 0 | 9,172$ | 0$ |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |