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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Sidney Crosby (C) | X | 98.00 | 57 | 43 | 82 | 90 | 68 | 81 | 94 | 84 | 85 | 86 | 82 | 64 | 68 | 74 | 69 | 0 | 40 | 76 | 0 | ||||
2 | Daniel Sedin (A) | X | 98.00 | 51 | 35 | 85 | 82 | 60 | 76 | 95 | 76 | 38 | 78 | 74 | 63 | 50 | 82 | 71 | 0 | 68 | 71 | 0 | ||||
3 | Troy Brouwer | X | 100.00 | 74 | 56 | 78 | 72 | 74 | 75 | 95 | 68 | 90 | 65 | 71 | 68 | 55 | 69 | 62 | 0 | 58 | 69 | 0 | ||||
4 | Alex Killorn | X | X | 100.00 | 60 | 35 | 82 | 74 | 69 | 73 | 94 | 67 | 57 | 67 | 67 | 64 | 56 | 49 | 43 | 0 | 61 | 66 | 0 | |||
5 | Leo Komarov | X | X | 100.00 | 89 | 35 | 82 | 75 | 72 | 73 | 77 | 65 | 75 | 61 | 68 | 70 | 48 | 45 | 37 | 0 | 60 | 66 | 0 | |||
6 | Nikolai Kulemin | X | X | 100.00 | 62 | 43 | 88 | 68 | 78 | 70 | 95 | 59 | 35 | 55 | 63 | 78 | 45 | 58 | 48 | 0 | 72 | 65 | 0 | |||
7 | Matt Read | X | X | 100.00 | 54 | 50 | 87 | 75 | 57 | 73 | 94 | 62 | 40 | 60 | 64 | 73 | 53 | 51 | 42 | 0 | 56 | 64 | 0 | |||
8 | Michael Raffl | X | X | 100.00 | 63 | 43 | 85 | 74 | 69 | 68 | 94 | 60 | 72 | 56 | 64 | 68 | 56 | 47 | 37 | 0 | 71 | 63 | 0 | |||
9 | Joffrey Lupul | X | X | 100.00 | 57 | 35 | 86 | 70 | 73 | 71 | 68 | 61 | 38 | 54 | 68 | 58 | 52 | 68 | 59 | 0 | 71 | 62 | 0 | |||
10 | Marcel Goc | X | 100.00 | 60 | 43 | 88 | 68 | 68 | 60 | 84 | 51 | 87 | 49 | 53 | 71 | 44 | 66 | 57 | 0 | 68 | 60 | 0 | ||||
11 | Dennis Rasmussen (R) | X | X | 100.00 | 59 | 35 | 92 | 67 | 72 | 50 | 42 | 49 | 80 | 46 | 52 | 70 | 48 | 35 | 32 | 0 | 44 | 55 | 0 | |||
12 | Marc-Andre Cliche | X | X | 100.00 | 48 | 35 | 87 | 67 | 69 | 52 | 62 | 42 | 82 | 41 | 42 | 72 | 47 | 40 | 37 | 0 | 58 | 53 | 0 | |||
13 | Michael Stone | X | 100.00 | 76 | 35 | 77 | 71 | 69 | 79 | 90 | 58 | 35 | 63 | 53 | 77 | 48 | 46 | 41 | 0 | 61 | 67 | 0 | ||||
14 | Kyle Quincey | X | 100.00 | 73 | 43 | 75 | 64 | 71 | 76 | 71 | 51 | 35 | 51 | 51 | 80 | 48 | 64 | 57 | 0 | 59 | 66 | 0 | ||||
15 | Adam McQuaid | X | 100.00 | 81 | 65 | 65 | 61 | 70 | 72 | 79 | 45 | 35 | 47 | 43 | 77 | 48 | 57 | 52 | 0 | 65 | 64 | 0 | ||||
16 | Radko Gudas | X | 100.00 | 89 | 50 | 63 | 68 | 67 | 72 | 80 | 49 | 35 | 48 | 49 | 76 | 48 | 43 | 39 | 0 | 70 | 64 | 0 | ||||
17 | Mark Fayne | X | 100.00 | 64 | 43 | 88 | 62 | 70 | 71 | 88 | 45 | 35 | 45 | 45 | 79 | 48 | 53 | 45 | 0 | 72 | 63 | 0 | ||||
18 | Victor Bartley | X | 100.00 | 64 | 43 | 80 | 61 | 70 | 57 | 37 | 47 | 35 | 50 | 43 | 67 | 48 | 44 | 39 | 0 | 75 | 56 | 0 | ||||
Rayé | ||||||||||||||||||||||||||
1 | Derek Ryan | X | 100.00 | 46 | 35 | 86 | 78 | 50 | 54 | 35 | 40 | 59 | 35 | 44 | 61 | 45 | 35 | 32 | 0 | 38 | 49 | 0 | ||||
2 | Dan Boyle (A) | X | 98.01 | 55 | 35 | 85 | 78 | 62 | 76 | 90 | 59 | 35 | 58 | 60 | 68 | 50 | 87 | 79 | 0 | 61 | 68 | 0 | ||||
MOYENNE D'ÉQUIPE | 99.70 | 64 | 42 | 82 | 71 | 68 | 69 | 78 | 57 | 54 | 56 | 58 | 70 | 50 | 56 | 49 | 0 | 61 | 63 |
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 | Ben Bishop | 100.00 | 93 | 94 | 96 | 84 | 93 | 89 | 92 | 92 | 85 | 75 | 70 | 52 | 48 | 0 | 55 | 82 | 0 | |
2 | Darcy Kuemper | 100.00 | 58 | 45 | 83 | 81 | 59 | 66 | 58 | 59 | 74 | 65 | 70 | 42 | 39 | 0 | 19 | 61 | 0 | |
Rayé | ||||||||||||||||||||
MOYENNE D'ÉQUIPE | 100.00 | 76 | 70 | 90 | 83 | 76 | 78 | 75 | 76 | 80 | 70 | 70 | 47 | 44 | 0 | 37 | 72 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Todd Richards | 89 | 49 | 67 | 83 | 88 | 69 | 74 | USA | 50 | 2 | 500,000$ |
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 | Sidney Crosby | Rangers | C | 68 | 23 | 45 | 68 | 0 | 33 | 15 | 47 | 170 | 224 | 0 | 0 | 10.27% | 6 | 1393 | 20.49 | 4 | 19 | 23 | 61 | 283 | 0 | 0 | 0 | 3 | 122 | 6 | 1 | 51.79% | 1701 | 0 | 0 | 0 | 0 | 0.98 | 3 | 6 | 0 | 1 | 2 | 7 | 5 | 1 |
2 | Daniel Sedin | Rangers | LW | 81 | 26 | 35 | 61 | 7 | 16 | 0 | 23 | 107 | 196 | 0 | 0 | 13.27% | 10 | 1522 | 18.80 | 6 | 16 | 22 | 55 | 315 | 0 | 0 | 0 | 0 | 174 | 7 | 2 | 34.94% | 249 | 0 | 0 | 0 | 0 | 0.80 | 1 | 4 | 0 | 0 | 0 | 5 | 2 | 3 |
3 | Michael Stone | Rangers | D | 82 | 14 | 32 | 46 | 4 | 154 | 0 | 173 | 86 | 104 | 0 | 0 | 13.46% | 144 | 1879 | 22.93 | 7 | 7 | 14 | 60 | 341 | 0 | 0 | 0 | 1 | 297 | 3 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 2 |
4 | Kyle Quincey | Rangers | D | 77 | 7 | 33 | 40 | -3 | 75 | 5 | 104 | 59 | 91 | 0 | 0 | 7.69% | 125 | 1675 | 21.76 | 6 | 6 | 12 | 57 | 291 | 0 | 0 | 0 | 1 | 352 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 |
5 | Matt Read | Rangers | LW/RW | 80 | 16 | 24 | 40 | -8 | 28 | 0 | 57 | 106 | 188 | 0 | 0 | 8.51% | 6 | 1301 | 16.27 | 3 | 10 | 13 | 47 | 186 | 0 | 0 | 0 | 6 | 248 | 0 | 1 | 28.83% | 111 | 0 | 0 | 0 | 0 | 0.61 | 2 | 4 | 0 | 0 | 0 | 3 | 1 | 3 |
6 | Alex Killorn | Rangers | LW/RW | 80 | 13 | 26 | 39 | 6 | 28 | 0 | 74 | 79 | 151 | 0 | 0 | 8.61% | 7 | 1274 | 15.93 | 4 | 6 | 10 | 29 | 214 | 0 | 0 | 0 | 3 | 136 | 3 | 1 | 36.96% | 92 | 0 | 0 | 0 | 0 | 0.61 | 0 | 2 | 0 | 0 | 0 | 2 | 7 | 4 |
7 | Dan Boyle | Rangers | D | 80 | 13 | 26 | 39 | 9 | 20 | 0 | 28 | 70 | 105 | 0 | 0 | 12.38% | 112 | 1950 | 24.38 | 9 | 6 | 15 | 68 | 334 | 0 | 0 | 0 | 0 | 381 | 1 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 1 | 1 | 0 | 0 | 0 | 0 | 4 | 4 |
8 | Leo Komarov | Rangers | LW/RW | 76 | 14 | 23 | 37 | 12 | 114 | 0 | 231 | 76 | 189 | 0 | 0 | 7.41% | 7 | 1208 | 15.90 | 1 | 10 | 11 | 43 | 234 | 0 | 0 | 0 | 8 | 125 | 4 | 1 | 47.37% | 133 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 2 |
9 | Nikolai Kulemin | Rangers | C/LW | 82 | 19 | 18 | 37 | 9 | 45 | 5 | 68 | 105 | 141 | 0 | 0 | 13.48% | 24 | 1428 | 17.42 | 2 | 8 | 10 | 37 | 261 | 0 | 0 | 0 | 3 | 270 | 3 | 2 | 31.61% | 1259 | 0 | 0 | 0 | 0 | 0.52 | 1 | 1 | 0 | 0 | 1 | 4 | 2 | 4 |
10 | Troy Brouwer | Rangers | RW | 80 | 18 | 19 | 37 | 1 | 147 | 35 | 202 | 95 | 160 | 0 | 0 | 11.25% | 12 | 1522 | 19.03 | 7 | 6 | 13 | 46 | 329 | 0 | 0 | 0 | 4 | 129 | 3 | 3 | 54.50% | 211 | 0 | 0 | 0 | 0 | 0.49 | 0 | 4 | 1 | 1 | 4 | 3 | 1 | 5 |
11 | Joffrey Lupul | Rangers | LW/RW | 79 | 10 | 17 | 27 | -1 | 28 | 0 | 51 | 42 | 92 | 0 | 0 | 10.87% | 5 | 1023 | 12.96 | 2 | 2 | 4 | 17 | 103 | 0 | 1 | 1 | 0 | 37 | 1 | 0 | 33.33% | 84 | 0 | 0 | 1 | 0 | 0.53 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 2 |
12 | Michael Raffl | Rangers | C/LW | 82 | 9 | 17 | 26 | -7 | 30 | 0 | 49 | 88 | 119 | 0 | 0 | 7.56% | 14 | 913 | 11.15 | 1 | 2 | 3 | 12 | 52 | 0 | 0 | 0 | 2 | 57 | 1 | 1 | 51.50% | 534 | 0 | 0 | 0 | 0 | 0.57 | 0 | 1 | 0 | 0 | 0 | 1 | 2 | 1 |
13 | Adam McQuaid | Rangers | D | 82 | 3 | 17 | 20 | 6 | 212 | 30 | 213 | 55 | 48 | 0 | 0 | 6.25% | 89 | 1629 | 19.87 | 0 | 2 | 2 | 23 | 242 | 1 | 0 | 1 | 3 | 317 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 3 | 0 | 3 | 1 | 0 | 1 |
14 | Radko Gudas | Rangers | D | 82 | 3 | 13 | 16 | -16 | 189 | 35 | 205 | 39 | 42 | 0 | 0 | 7.14% | 58 | 1282 | 15.65 | 0 | 1 | 1 | 6 | 55 | 0 | 0 | 0 | 1 | 121 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | 0 | 2 | 5 | 1 | 0 | 1 |
15 | Mark Fayne | Rangers | D | 82 | 3 | 8 | 11 | -7 | 15 | 5 | 27 | 60 | 42 | 0 | 0 | 7.14% | 94 | 1368 | 16.69 | 0 | 0 | 0 | 11 | 76 | 0 | 0 | 0 | 0 | 206 | 2 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.16 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
16 | Marcel Goc | Rangers | C | 81 | 7 | 3 | 10 | -10 | 50 | 20 | 56 | 103 | 68 | 0 | 0 | 10.29% | 7 | 689 | 8.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 117 | 1 | 0 | 54.53% | 706 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | 0 | 1 | 2 | 0 | 1 | 0 |
17 | Dennis Rasmussen | Rangers | C/LW | 72 | 3 | 3 | 6 | -8 | 20 | 0 | 41 | 38 | 36 | 0 | 0 | 8.33% | 2 | 575 | 8.00 | 0 | 0 | 0 | 3 | 19 | 0 | 0 | 0 | 0 | 70 | 0 | 0 | 45.31% | 128 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Marc-Andre Cliche | Rangers | C/RW | 72 | 2 | 2 | 4 | -11 | 25 | 5 | 18 | 22 | 26 | 0 | 0 | 7.69% | 10 | 612 | 8.51 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 75 | 0 | 0 | 44.90% | 49 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |
19 | Victor Bartley | Rangers | D | 7 | 0 | 3 | 3 | 7 | 10 | 0 | 4 | 3 | 2 | 0 | 0 | 0.00% | 3 | 106 | 15.25 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
20 | Derek Ryan | Rangers | C | 35 | 1 | 0 | 1 | -2 | 9 | 5 | 3 | 11 | 11 | 0 | 0 | 9.09% | 5 | 289 | 8.26 | 1 | 0 | 1 | 2 | 8 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 102 | 0 | 0 | 0 | 0 | 0.07 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
Stats d'équipe Total ou en Moyenne | 1460 | 204 | 364 | 568 | -12 | 1248 | 160 | 1674 | 1414 | 2035 | 0 | 0 | 10.02% | 740 | 23649 | 16.20 | 53 | 101 | 154 | 577 | 3358 | 1 | 1 | 2 | 37 | 3257 | 37 | 17 | 45.01% | 5359 | 0 | 0 | 2 | 0 | 0.48 | 8 | 25 | 4 | 6 | 20 | 36 | 33 | 36 |
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 | Ben Bishop | Rangers | 73 | 37 | 26 | 5 | 0.912 | 2.48 | 4118 | 4 | 7 | 170 | 1929 | 0 | 0 | 0 | 0.818 | 22 | 66 | 12 | 9 | 5 | 3 |
2 | Darcy Kuemper | Rangers | 19 | 4 | 10 | 0 | 0.856 | 4.03 | 789 | 0 | 1 | 53 | 368 | 0 | 1 | 0 | 0.000 | 0 | 16 | 57 | 0 | 3 | 1 |
Stats d'équipe Total ou en Moyenne | 92 | 41 | 36 | 5 | 0.903 | 2.73 | 4907 | 4 | 8 | 223 | 2297 | 0 | 1 | 0 | 0.818 | 22 | 82 | 69 | 9 | 8 | 4 |
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 | Ballotage Forcé | Contrat | Status | Type | Salaire Actuel | Salaire Restant | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam McQuaid | Rangers | D | 28 | 1986-10-12 | No | 212 Lbs | 6 ft4 | No | No | 2 | Avec Restriction | Pro & Farm | 980,000$ | 1,250,000$ | Lien | |||||||||
Alex Killorn | Rangers | LW/RW | 26 | 1989-09-14 | No | 198 Lbs | 6 ft2 | No | No | 1 | Avec Restriction | Pro & Farm | 875,000$ | Lien | ||||||||||
Ben Bishop | Rangers | G | 28 | 1986-11-21 | No | 216 Lbs | 6 ft7 | Yes | No | 6 | Avec Restriction | Pro & Farm | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | Lien | |||||
Dan Boyle (Contrat à 1 Volet) | Rangers | D | 39 | 1976-07-12 | No | 194 Lbs | 5 ft11 | Yes | No | 2 | Sans Restriction | Pro & Farm | 8,000,000$ | 8,000,000$ | Lien | |||||||||
Daniel Sedin | Rangers | LW | 35 | 1980-09-26 | No | 187 Lbs | 6 ft1 | No | No | 1 | Sans Restriction | Pro & Farm | 8,000,000$ | Lien | ||||||||||
Darcy Kuemper | Rangers | G | 25 | 1990-05-05 | No | 212 Lbs | 6 ft5 | No | No | 1 | Avec Restriction | Pro & Farm | 740,000$ | Lien | ||||||||||
Dennis Rasmussen | Rangers | C/LW | 25 | 1990-07-03 | Yes | 205 Lbs | 6 ft3 | No | No | 4 | Avec Restriction | Pro & Farm | 575,000$ | 575,000$ | 575,000$ | 575,000$ | Lien | |||||||
Derek Ryan | Rangers | C | 28 | 1986-12-29 | No | 170 Lbs | 5 ft11 | No | No | 3 | Avec Restriction | Pro & Farm | 600,000$ | 600,000$ | 600,000$ | Lien | ||||||||
Joffrey Lupul | Rangers | LW/RW | 32 | 1983-09-23 | No | 211 Lbs | 6 ft1 | No | No | 2 | Sans Restriction | Pro & Farm | 4,000,000$ | 4,000,000$ | Lien | |||||||||
Kyle Quincey | Rangers | D | 30 | 1985-08-12 | No | 216 Lbs | 6 ft2 | Yes | No | 6 | Sans Restriction | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,100,000$ | 3,200,000$ | 3,000,000$ | 3,000,000$ | Lien | |||||
Leo Komarov | Rangers | LW/RW | 28 | 1987-01-23 | No | 211 Lbs | 5 ft11 | No | No | 1 | Avec Restriction | Pro & Farm | 850,000$ | Lien | ||||||||||
Marc-Andre Cliche | Rangers | C/RW | 28 | 1987-03-23 | No | 202 Lbs | 6 ft0 | No | No | 2 | Avec Restriction | Pro & Farm | 600,000$ | 600,000$ | Lien | |||||||||
Marcel Goc | Rangers | C | 32 | 1983-08-24 | No | 197 Lbs | 6 ft1 | No | No | 1 | Sans Restriction | Pro & Farm | 900,000$ | Lien | ||||||||||
Mark Fayne | Rangers | D | 28 | 1987-05-15 | No | 212 Lbs | 6 ft3 | No | No | 4 | Avec Restriction | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | Lien | |||||||
Matt Read | Rangers | LW/RW | 29 | 1986-06-14 | No | 185 Lbs | 5 ft10 | No | No | 1 | Avec Restriction | Pro & Farm | 4,800,000$ | Lien | ||||||||||
Michael Raffl | Rangers | C/LW | 26 | 1988-12-01 | No | 200 Lbs | 6 ft0 | No | No | 2 | Avec Restriction | Pro & Farm | 792,000$ | 792,000$ | Lien | |||||||||
Michael Stone | Rangers | D | 25 | 1990-06-07 | No | 210 Lbs | 6 ft3 | Yes | No | 6 | Avec Restriction | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | Lien | |||||
Nikolai Kulemin | Rangers | C/LW | 29 | 1986-07-14 | No | 225 Lbs | 6 ft1 | No | No | 6 | Avec Restriction | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | Lien | |||||
Radko Gudas | Rangers | D | 25 | 1990-06-05 | No | 204 Lbs | 6 ft0 | No | No | 1 | Avec Restriction | Pro & Farm | 625,000$ | Lien | ||||||||||
Sidney Crosby | Rangers | C | 28 | 1987-08-07 | No | 200 Lbs | 5 ft11 | No | No | 2 | Avec Restriction | Pro & Farm | 8,000,000$ | 8,000,000$ | Lien | |||||||||
Troy Brouwer | Rangers | RW | 30 | 1985-08-17 | No | 213 Lbs | 6 ft3 | No | No | 4 | Sans Restriction | Pro & Farm | 3,000,000$ | 3,100,000$ | 3,250,000$ | 3,250,000$ | Lien | |||||||
Victor Bartley | Rangers | D | 27 | 1988-02-17 | No | 215 Lbs | 6 ft0 | No | No | 1 | Avec Restriction | Pro & Farm | 537,000$ | Lien |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
22 | 28.68 | 204 Lbs | 6 ft1 | 2.68 | 2,667,000$ |
Somme Salaire 1e Année | Somme Salaire 2e Année | Somme Salaire 3e Année | Somme Salaire 4e Année | Somme Salaire 5e Année |
---|---|---|---|---|
58,674,000$ | 41,717,000$ | 19,325,000$ | 18,825,000$ | 12,800,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Daniel Sedin | Sidney Crosby | Troy Brouwer | 40 | 1 | 2 | 2 |
2 | Leo Komarov | Nikolai Kulemin | Alex Killorn | 30 | 1 | 2 | 2 |
3 | Matt Read | Michael Raffl | Joffrey Lupul | 20 | 1 | 2 | 2 |
4 | Dennis Rasmussen | Marcel Goc | Marc-Andre Cliche | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Michael Stone | Kyle Quincey | 40 | 1 | 2 | 2 | |
2 | Adam McQuaid | Radko Gudas | 30 | 1 | 2 | 2 | |
3 | Mark Fayne | Victor Bartley | 20 | 1 | 2 | 2 | |
4 | Michael Stone | Kyle Quincey | 10 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Daniel Sedin | Sidney Crosby | Troy Brouwer | 60 | 1 | 2 | 2 |
2 | Leo Komarov | Nikolai Kulemin | Alex Killorn | 40 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Michael Stone | Kyle Quincey | 60 | 1 | 2 | 2 | |
2 | Adam McQuaid | Radko Gudas | 40 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Sidney Crosby | Daniel Sedin | 60 | 1 | 2 | 2 |
2 | Troy Brouwer | Leo Komarov | 40 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Michael Stone | Kyle Quincey | 60 | 1 | 2 | 2 |
2 | Adam McQuaid | Radko Gudas | 40 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | Sidney Crosby | 60 | 1 | 2 | 2 | Michael Stone | Kyle Quincey | 60 | 1 | 2 | 2 |
2 | Daniel Sedin | 40 | 1 | 2 | 2 | Adam McQuaid | Radko Gudas | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Sidney Crosby | Daniel Sedin | 60 | 1 | 2 | 2 |
2 | Troy Brouwer | Leo Komarov | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Michael Stone | Kyle Quincey | 60 | 1 | 2 | 2 |
2 | Adam McQuaid | Radko Gudas | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Daniel Sedin | Sidney Crosby | Troy Brouwer | Michael Stone | Kyle Quincey |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Daniel Sedin | Sidney Crosby | Troy Brouwer | Michael Stone | Kyle Quincey |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Matt Read, Michael Raffl, Joffrey Lupul | Matt Read, Michael Raffl | Joffrey Lupul |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Mark Fayne, Victor Bartley, Adam McQuaid | Mark Fayne | Victor Bartley, Adam McQuaid |
Tirs de Pénalité |
---|
Sidney Crosby, Daniel Sedin, Troy Brouwer, Leo Komarov, Alex Killorn |
Gardien |
---|
#1 : Ben Bishop, #2 : Darcy Kuemper |
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 |
Anaheim | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 5 | 8 | 13 | 0 | 1 | 4 | 0 | 1 | 0 | 41 | 10 | 14 | 17 | 0 | 63 | 17 | 32 | 34 | 9 | 0 | 0.00% | 15 | 3 | 80.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 44 | 28 | 47 | 16 | 27 | 13 |
Atlanta | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 6 | 0.600 | 9 | 16 | 25 | 0 | 2 | 2 | 2 | 5 | 0 | 135 | 51 | 43 | 41 | 0 | 130 | 40 | 83 | 102 | 26 | 3 | 11.54% | 25 | 3 | 88.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 114 | 77 | 119 | 39 | 65 | 31 |
Boston | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 13 | -5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 3 | 3 | 2 | 0 | 78 | 28 | 26 | 24 | 0 | 99 | 32 | 45 | 56 | 18 | 4 | 22.22% | 20 | 5 | 75.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 64 | 41 | 76 | 24 | 39 | 18 |
Buffalo | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 6 | 1.000 | 11 | 20 | 31 | 0 | 0 | 4 | 1 | 5 | 1 | 84 | 23 | 36 | 25 | 3 | 95 | 28 | 43 | 71 | 13 | 1 | 7.69% | 18 | 3 | 83.33% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 67 | 45 | 80 | 23 | 37 | 18 |
Calgary | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 54 | 18 | 17 | 19 | 0 | 50 | 14 | 18 | 49 | 14 | 1 | 7.14% | 9 | 3 | 66.67% | 1 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 49 | 31 | 42 | 15 | 27 | 14 |
Philadelphie | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 4 | 0.500 | 9 | 17 | 26 | 0 | 1 | 4 | 3 | 2 | 0 | 87 | 30 | 34 | 23 | 0 | 103 | 36 | 57 | 65 | 20 | 1 | 5.00% | 25 | 4 | 84.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 87 | 58 | 100 | 32 | 51 | 24 |
Chicago | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 0 | 43 | 28 | 5 | 10 | 0 | 70 | 23 | 40 | 38 | 7 | 0 | 0.00% | 15 | 4 | 73.33% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 40 | 26 | 55 | 15 | 23 | 10 |
Colorado | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 1 | 1 | 3 | 0 | 41 | 11 | 11 | 19 | 0 | 70 | 22 | 42 | 39 | 10 | 2 | 20.00% | 11 | 0 | 100.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 42 | 26 | 53 | 16 | 24 | 12 |
Kansas City | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 7 | 5 | 9 | 0 | 69 | 20 | 41 | 39 | 7 | 0 | 0.00% | 13 | 3 | 76.92% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 39 | 24 | 54 | 16 | 25 | 11 |
Detroit | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 6 | 11 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.333 | 6 | 11 | 17 | 0 | 0 | 2 | 2 | 1 | 1 | 54 | 17 | 15 | 19 | 3 | 112 | 36 | 51 | 70 | 12 | 2 | 16.67% | 23 | 4 | 82.61% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 65 | 41 | 78 | 22 | 38 | 18 |
Edmonton | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 3 | 3 | 2 | 0 | 58 | 23 | 17 | 18 | 0 | 65 | 29 | 36 | 29 | 9 | 1 | 11.11% | 18 | 5 | 72.22% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 40 | 26 | 55 | 13 | 23 | 11 |
Islanders | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 12 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 6 | 0.750 | 14 | 25 | 39 | 0 | 0 | 6 | 6 | 2 | 0 | 90 | 30 | 26 | 34 | 0 | 126 | 51 | 60 | 85 | 18 | 3 | 16.67% | 30 | 2 | 93.33% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 86 | 56 | 105 | 31 | 48 | 22 |
LA Kings | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 2 | 1 | 0 | 1 | 57 | 27 | 15 | 13 | 2 | 50 | 20 | 18 | 37 | 10 | 3 | 30.00% | 8 | 0 | 100.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 48 | 32 | 47 | 14 | 25 | 12 |
Minnesota | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 1 | 5 | 0 | 0 | 49 | 20 | 15 | 14 | 0 | 34 | 12 | 20 | 50 | 17 | 2 | 11.76% | 10 | 3 | 70.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 53 | 37 | 39 | 16 | 26 | 13 |
Hartford | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 16 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 9 | 17 | 26 | 0 | 0 | 5 | 3 | 1 | 0 | 97 | 33 | 32 | 32 | 0 | 115 | 32 | 57 | 84 | 17 | 5 | 29.41% | 24 | 6 | 75.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 91 | 60 | 97 | 29 | 50 | 25 |
Ottawa | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.333 | 7 | 11 | 18 | 0 | 0 | 1 | 4 | 2 | 0 | 70 | 25 | 27 | 18 | 0 | 95 | 22 | 46 | 50 | 14 | 3 | 21.43% | 23 | 6 | 73.91% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 68 | 45 | 73 | 24 | 38 | 18 |
Pittsburgh | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 6 | 0.600 | 13 | 24 | 37 | 0 | 1 | 3 | 5 | 5 | 0 | 134 | 48 | 38 | 48 | 0 | 127 | 40 | 48 | 81 | 26 | 2 | 7.69% | 24 | 1 | 95.83% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 115 | 75 | 122 | 39 | 62 | 31 |
San Jose | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 3 | 0.750 | 4 | 6 | 10 | 0 | 1 | 2 | 1 | 1 | 0 | 64 | 19 | 20 | 25 | 4 | 51 | 13 | 24 | 38 | 6 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 49 | 33 | 47 | 16 | 28 | 14 |
St-Louis | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 2 | 3 | 2 | 1 | 62 | 29 | 16 | 15 | 2 | 50 | 23 | 19 | 46 | 8 | 1 | 12.50% | 7 | 0 | 100.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 43 | 28 | 54 | 15 | 25 | 11 |
Tampa Bay | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 7 | 10 | -3 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 7 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 3 | 0.500 | 7 | 10 | 17 | 0 | 0 | 4 | 1 | 1 | 1 | 73 | 25 | 23 | 21 | 9 | 77 | 24 | 38 | 49 | 14 | 2 | 14.29% | 19 | 4 | 78.95% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 72 | 48 | 79 | 23 | 38 | 18 |
Toronto | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 6 | 1.000 | 7 | 9 | 16 | 0 | 0 | 2 | 2 | 2 | 2 | 71 | 23 | 23 | 21 | 7 | 60 | 17 | 49 | 84 | 19 | 3 | 15.79% | 18 | 2 | 88.89% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 76 | 51 | 68 | 24 | 40 | 19 |
Vancouver | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 34 | 14 | 11 | 9 | 0 | 49 | 16 | 50 | 32 | 3 | 0 | 0.00% | 13 | 2 | 84.62% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 35 | 21 | 57 | 16 | 26 | 11 |
Quebec | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 4 | 0.667 | 5 | 6 | 11 | 0 | 0 | 1 | 0 | 3 | 2 | 93 | 29 | 17 | 47 | 7 | 73 | 37 | 69 | 54 | 16 | 1 | 6.25% | 25 | 1 | 96.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 69 | 44 | 78 | 23 | 37 | 18 |
Winnipeg | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 3 | 2 | 0 | 56 | 16 | 21 | 19 | 0 | 59 | 19 | 33 | 50 | 14 | 3 | 21.43% | 9 | 2 | 77.78% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 47 | 31 | 45 | 16 | 27 | 13 |
Nashville | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 2 | 0 | 4 | 0 | 37 | 12 | 8 | 17 | 0 | 68 | 22 | 32 | 47 | 7 | 0 | 0.00% | 16 | 1 | 93.75% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 41 | 25 | 55 | 15 | 25 | 12 |
Montreal | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 6 | 13 | -7 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 1 | 0.167 | 6 | 12 | 18 | 0 | 0 | 2 | 4 | 0 | 0 | 78 | 24 | 42 | 12 | 0 | 117 | 39 | 65 | 63 | 16 | 2 | 12.50% | 22 | 4 | 81.82% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 63 | 40 | 79 | 24 | 38 | 17 |
Washington | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 12 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 6 | 0.750 | 14 | 25 | 39 | 0 | 0 | 3 | 6 | 5 | 0 | 102 | 36 | 33 | 33 | 0 | 103 | 22 | 60 | 94 | 16 | 4 | 25.00% | 22 | 4 | 81.82% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 94 | 62 | 92 | 28 | 52 | 26 |
Caroline | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 6 | 0.750 | 10 | 15 | 25 | 0 | 1 | 5 | 2 | 3 | 0 | 98 | 29 | 43 | 26 | 0 | 101 | 33 | 50 | 82 | 20 | 4 | 20.00% | 25 | 1 | 96.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 91 | 60 | 95 | 33 | 52 | 24 |
Las Vegas | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 3 | 0.750 | 5 | 9 | 14 | 0 | 1 | 2 | 2 | 1 | 0 | 51 | 13 | 17 | 21 | 0 | 37 | 12 | 22 | 47 | 12 | 0 | 0.00% | 11 | 0 | 100.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 51 | 36 | 41 | 14 | 26 | 14 |
Vs Division | 30 | 17 | 13 | 0 | 0 | 0 | 0 | 0 | 78 | 81 | -3 | 15 | 10 | 5 | 0 | 0 | 0 | 0 | 0 | 40 | 33 | 7 | 15 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 38 | 48 | -10 | 34 | 0.567 | 78 | 139 | 217 | 0 | 5 | 28 | 27 | 23 | 0 | 743 | 257 | 249 | 237 | 0 | 805 | 254 | 415 | 593 | 143 | 22 | 15.38% | 175 | 21 | 88.00% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 681 | 452 | 734 | 234 | 383 | 187 |
Vs Conference | 54 | 24 | 23 | 0 | 1 | 1 | 4 | 1 | 135 | 153 | -18 | 27 | 13 | 10 | 0 | 0 | 1 | 3 | 0 | 71 | 70 | 1 | 27 | 11 | 13 | 0 | 1 | 0 | 1 | 1 | 64 | 83 | -19 | 60 | 0.556 | 135 | 233 | 368 | 0 | 5 | 47 | 44 | 39 | 7 | 1344 | 451 | 458 | 424 | 29 | 1533 | 489 | 821 | 1090 | 265 | 40 | 15.09% | 343 | 50 | 85.42% | 0 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 1228 | 810 | 1349 | 425 | 691 | 336 |
Since Last GM Reset | 82 | 34 | 36 | 0 | 3 | 3 | 4 | 2 | 207 | 229 | -22 | 41 | 18 | 15 | 0 | 1 | 3 | 3 | 1 | 112 | 111 | 1 | 41 | 16 | 21 | 0 | 2 | 0 | 1 | 1 | 95 | 118 | -23 | 87 | 0.530 | 207 | 360 | 567 | 0 | 8 | 75 | 66 | 59 | 9 | 2012 | 698 | 650 | 649 | 37 | 2318 | 751 | 1248 | 1665 | 398 | 53 | 13.32% | 505 | 76 | 84.95% | 1 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 1857 | 1220 | 2048 | 645 | 1056 | 513 |
Total | 82 | 34 | 36 | 0 | 3 | 3 | 4 | 2 | 207 | 229 | -22 | 41 | 18 | 15 | 0 | 1 | 3 | 3 | 1 | 112 | 111 | 1 | 41 | 16 | 21 | 0 | 2 | 0 | 1 | 1 | 95 | 118 | -23 | 87 | 0.530 | 207 | 360 | 567 | 0 | 8 | 75 | 66 | 59 | 9 | 2012 | 698 | 650 | 649 | 37 | 2318 | 751 | 1248 | 1665 | 398 | 53 | 13.32% | 505 | 76 | 84.95% | 1 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 1857 | 1220 | 2048 | 645 | 1056 | 513 |
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 | 87 | W1 | 207 | 360 | 567 | 2012 | 2318 | 751 | 1248 | 1665 | 0 | 8 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
82 | 34 | 36 | 3 | 3 | 4 | 2 | 207 | 229 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 18 | 15 | 1 | 3 | 3 | 1 | 112 | 111 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
41 | 16 | 21 | 2 | 0 | 1 | 1 | 95 | 118 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 5 | 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 |
---|---|---|---|---|---|---|
398 | 53 | 13.32% | 505 | 76 | 84.95% | 1 |
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 |
---|---|---|---|---|---|---|---|
698 | 650 | 649 | 37 | 75 | 66 | 59 | 9 |
Mises en Jeu | ||||||||
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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 |
1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% |
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 |
1857 | 1220 | 2048 | 645 | 1056 | 513 |
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. |
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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 | Niveau 3 | Niveau 4 | Luxe | |
Capacité de l'Aréna | 6000 | 6000 | 2500 | 4000 | 1000 |
Prix des Billets | 135 | 70 | 40 | 30 | 250 |
Assistance | 217210 | 213892 | 101233 | 161594 | 41000 |
Attendance PCT | 88.30% | 86.95% | 98.76% | 98.53% | 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 |
0 | 17925 - 91.92% | 1,547,389$ | 63,442,930$ | 19500 | 100 |
Dépenses | |||
---|---|---|---|
Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs | Valeur du Cap Salarial Spécial |
58,674,000$ | 58,864,000$ | 0$ | 0$ |
Dépenses Annuelles à Ce Jour | Cap Salarial Par Jour | Cap salarial à ce jour | Taxe de Luxe Totale |
---|---|---|---|
56,347,290$ | 324,166$ | 55,844,579$ | 0$ |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 0 | 326,928$ | 0$ |
Total de l'Équipe Éstimé | |||
---|---|---|---|
Dépenses de la Saison Éstimées | Cap Salarial de la Saison Éstimé | Compte Bancaire Actuel | Compte Bancaire Projeté |
0$ | 58,415,248$ | 122,076,872$ | 122,076,872$ |
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Priority | Type | Description |
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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 ) |
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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. |
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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 |
Éspoir | Nom de l'Équipe | Année de Repêchage | Choix Total | Information | Lien |
---|---|---|---|---|---|
Cliff Pu | Rangers | 2016 | 50 | ||
Max Zimmer | Rangers | 2016 | 183 | ||
Simon Bourque | Rangers | 2015 | 160 |
Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
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2017 | Ran | Ran | Ran | Ran Stl | Ran | ||
2018 | Ran | Ran | Ran | Ran | Ran | Ran | Ran |
2019 | Ran | Ran | Ran | Ran | Ran | Ran | Ran |
2020 | Ran | Ran | Ran | Ran | Ran | Ran | Ran |
2021 | Ran | Ran | Ran | Ran | Ran | Ran | Ran |
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 |
Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 82 | 34 | 36 | 0 | 3 | 3 | 4 | 2 | 207 | 229 | -22 | 41 | 18 | 15 | 0 | 1 | 3 | 3 | 1 | 112 | 111 | 1 | 41 | 16 | 21 | 0 | 2 | 0 | 1 | 1 | 95 | 118 | -23 | 68 | 207 | 360 | 567 | 0 | 8 | 75 | 66 | 59 | 9 | 2012 | 698 | 650 | 649 | 37 | 2318 | 751 | 1248 | 1665 | 398 | 53 | 13.32% | 505 | 76 | 84.95% | 1 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 1857 | 1220 | 2048 | 645 | 1056 | 513 |
Total Saison Régulière | 82 | 34 | 36 | 0 | 3 | 3 | 4 | 2 | 207 | 229 | -22 | 41 | 18 | 15 | 0 | 1 | 3 | 3 | 1 | 112 | 111 | 1 | 41 | 16 | 21 | 0 | 2 | 0 | 1 | 1 | 95 | 118 | -23 | 68 | 207 | 360 | 567 | 0 | 8 | 75 | 66 | 59 | 9 | 2012 | 698 | 650 | 649 | 37 | 2318 | 751 | 1248 | 1665 | 398 | 53 | 13.32% | 505 | 76 | 84.95% | 1 | 1170 | 2537 | 46.12% | 1381 | 2908 | 47.49% | 559 | 1211 | 46.16% | 1857 | 1220 | 2048 | 645 | 1056 | 513 |