Individual Calculations May 2022 |
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Cilia Vincenti, David Total change: -45.80 | | |
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2022 Wellington Open | Wellington | NZL | 2022-04-15 |
Rc | Ro | w | n | change | K | K*chg | Game |
1663 | 2031 | 3.00 | 5 | -1.46 | 20 | -29.20 | |
| Rossiter, Philip E | | | 1662 | NZL | 1.00 | 1 | 0.10 | 20 | 2.00 | | Langford, Joshua | | | 1665 | NZL | 0.00 | 1 | -0.90 | 20 | -18.00 | | Yu, Zachary | | | 1559 | NZL | 1.00 | 1 | 0.05 | 20 | 1.00 | | Zhang, Kendrick Botong | | | 1798 | NZL | 0.50 | 1 | -0.29 | 20 | -5.80 | | Wang, Justin Zhide | | | 1631 * | NZL | 0.50 | 1 | -0.42 | 20 | -8.40 | | * 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) | | Auckland ANZAC Weekender 2022 | Auckland | NZL | 2022-04-23 |
Rc | Ro | w | n | change | K | K*chg | Game |
1694 | 2031 | 4.00 | 6 | -0.83 | 20 | -16.60 | |
| Po E-Tofaeono, Grayson | | | 1631 * | NZL | 1.00 | 1 | 0.08 | 20 | 1.60 | | Ravi, Narasimhan Lakshmi | | | 1482 | NZL | 1.00 | 1 | 0.03 | 20 | 0.60 | | Zhu, David Junyang | | | 1526 | NZL | 1.00 | 1 | 0.04 | 20 | 0.80 | | Po E-Tofaeono, Hunter | | | 1469 | NZL | 0.50 | 1 | -0.48 | 20 | -9.60 | | Tang, Hao | | | 1852 | NZL | 0.50 | 1 | -0.23 | 20 | -4.60 | | Xie, Felix | c | | 2204 | NZL | 0.00 | 1 | -0.27 | 20 | -5.40 | | * 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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