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Individual Calculations February 2022 |
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| Zhang, Nathaniel Albion Total change: 80.40 | |   |
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| 31st Annual North American Open - Under 2300 | Las Vegas, Nevada | USA | 2021-12-26 |
| Rc | Ro | w | n | change | K | K*chg | Game |
| 2007 | 1983 | 5.00 | 7 | 1.80 | 40 | 72.00 | |
|  Christiansen, Natasha C | | wc | 1742 | USA | 1.00 | 1 | 0.20 | 40 | 8.00 | |  Kodarapu, Ishaan | | | 1651 | USA | 1.00 | 1 | 0.12 | 40 | 4.80 | | | Shandilya, Rahul Kumar | | | 2103 | IND | 1.00 | 1 | 0.66 | 40 | 26.40 | | | Venkat, Raghav | | | 2114 | USA | 0.50 | 1 | 0.18 | 40 | 7.20 | | | Aronov, Yuri | | | 2181 | RSA | 0.50 | 1 | 0.26 | 40 | 10.40 | | | Onyekwere, Chikwere Godwin | c | | 2208 | NGR | 1.00 | 1 | 0.78 | 40 | 31.20 | | | Ng, Daniel J | | | 2053 | USA | 0.00 | 1 | -0.40 | 40 | -16.00 | |
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) | | | | 15th Annual Golden State Open - Major | Concord, California | USA | 2022-01-14 |
| Rc | Ro | w | n | change | K | K*chg | Game |
| 1956 | 1983 | 3.00 | 5 | 0.21 | 40 | 8.40 | |
| | Chen, Aidan Joseph | | | 1639 | USA | 1.00 | 1 | 0.12 | 40 | 4.80 | | | Belous, Vladimir | g | | 2527 | RUS | 0.00 | 1 | -0.03 | 40 | -1.20 | | | Taylor, Timothy W | m | | 2163 | USA | 0.00 | 1 | -0.26 | 40 | -10.40 | | | Wang, Jeffery | | | 1672 | USA | 1.00 | 1 | 0.14 | 40 | 5.60 | | | Finkelstein, Alan J | | | 1777 | USA | 1.00 | 1 | 0.24 | 40 | 9.60 | |
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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