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Individual Calculations February 2023 |
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| Lange, Malina Total change: 63.60 | |   |
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| Internationales Winter Open 2022 | Berlin | GER | 2022-12-27 |
| Rc | Ro | w | n | change | K | K*chg | Game |
| 1755 | 1666 | 2.00 | 6 | -0.36 | 40 | -14.40 | |
|  Krefenstein, Sergej | | | 2111 | GER | 0.00 | 1 | -0.06 | 40 | -2.40 | | | Thaer, Abdulkadhim Ismaeel | | | 1942 | IRQ | 0.00 | 1 | -0.17 | 40 | -6.80 | |  Strassburg, Moritz | | | 1271 | GER | 1.00 | 1 | 0.08 | 40 | 3.20 | | | Verbitsky, Jaroslaw | | | 1952 | GER | 0.00 | 1 | -0.16 | 40 | -6.40 | | | Haase, Maike | | | 1266 * | GER | 1.00 | 1 | 0.08 | 40 | 3.20 | | | Blum, Frederik | | | 1990 | GER | 0.00 | 1 | -0.13 | 40 | -5.20 | | | * 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) | | | | Deutsche Schach-Amateurmeisterschaft 2022-2023 Q2 D | Potsdam | GER | 2023-01-06 |
| Rc | Ro | w | n | change | K | K*chg | Game |
| 1660 | 1666 | 4.50 | 5 | 1.95 | 40 | 78.00 | |
| | Gerlach, Andreas, Dr. | | | 1625 | GER | 1.00 | 1 | 0.44 | 40 | 17.60 | | | Giede, Anna-Blume | | | 1596 | GER | 1.00 | 1 | 0.40 | 40 | 16.00 | | | Werther, Jens | | | 1690 | GER | 0.50 | 1 | 0.03 | 40 | 1.20 | | | Espenhahn, Joerg | | | 1702 | GER | 1.00 | 1 | 0.55 | 40 | 22.00 | | | Kaesemann, Holger, Dr. | | | 1685 | GER | 1.00 | 1 | 0.53 | 40 | 21.20 | |
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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