Individual Calculations January 2017 |
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Talukdar, Rohan Total change: 26.40 | | |
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2016 Guelph Pro-Am: Pro | Guelph | CAN | 2016-11-05 |
Rc | Ro | w | n | change | K | K*chg | Game |
2042 | 2098 | 3.00 | 5 | 0.23 | 40 | 9.20 | |
| Washimkar, Arhant | | | 1698 * | CAN | 1.00 | 1 | 0.08 | 40 | 3.20 | | Song, Michael | m | | 2404 | CAN | 0.50 | 1 | 0.36 | 40 | 14.40 | | Brajkovic, Nikola | | | 1812 | CAN | 0.50 | 1 | -0.34 | 40 | -13.60 | | Chen, Richard | c | | 2123 | CAN | 1.00 | 1 | 0.53 | 40 | 21.20 | | Bailey, Doug | f | | 2174 | CAN | 0.00 | 1 | -0.40 | 40 | -16.00 | | * Rating difference of more than 400. Please read more at FIDE Handbook | Rc - average rating of rated opponents, Ro - rating of a player in a tournament, Rp - rating performance of an unrated player, W - points won in a tournament against rated opponents, N - total number of games against rated opponents, Change - change used for calculation according to formula, K - development coefficient, Kchg - rating change of a player calculated as (K * change) | | 2016 Motor City Open | November 25-27, 2016 | USA | 2016-11-25 |
Rc | Ro | w | n | change | K | K*chg | Game |
2093 | 2098 | 3.50 | 6 | 0.43 | 40 | 17.20 | |
| Hawver, Evan W | | | 1881 | USA | 1.00 | 1 | 0.22 | 40 | 8.80 | | Zheng, Michael | | | 1760 | USA | 1.00 | 1 | 0.12 | 40 | 4.80 | | Moussa, Alaa-Addin | c | | 2047 | PLE | 1.00 | 1 | 0.43 | 40 | 17.20 | | Lenderman, Aleksandr | g | | 2498 * | USA | 0.50 | 1 | 0.42 | 40 | 16.80 | | Hubbard, Andrew D | f | | 2171 | USA | 0.00 | 1 | -0.40 | 40 | -16.00 | | Chahrour, Ibrahim | m | | 2201 | LBN | 0.00 | 1 | -0.36 | 40 | -14.40 | | * Rating difference of more than 400. Please read more at FIDE Handbook | Rc - average rating of rated opponents, Ro - rating of a player in a tournament, Rp - rating performance of an unrated player, W - points won in a tournament against rated opponents, N - total number of games against rated opponents, Change - change used for calculation according to formula, K - development coefficient, Kchg - rating change of a player calculated as (K * change) | |
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