| Geses vs Kazuya | 30–14 | 68.18% |
| Geses vs Jin | 19–21 | 47.50% |
| Geses vs King | 14–19 | 42.42% |
| Geses vs Steve | 18–12 | 60.00% |
| Geses vs Armor King | 17–13 | 56.67% |
| Geses vs Bryan | 18–9 | 66.67% |
| Geses vs Paul | 12–13 | 48.00% |
| Geses vs Miary Zo | 11–13 | 45.83% |
| Geses vs Hwoarang | 16–7 | 69.57% |
| Geses vs Jun | 10–11 | 47.62% |
| Geses vs Lili | 10–9 | 52.63% |
| Geses vs Dragunov | 9–9 | 50.00% |
| Geses vs Reina | 13–5 | 72.22% |
| Geses vs Heihachi | 11–7 | 61.11% |
| Geses vs Law | 9–8 | 52.94% |
| Geses vs Kuma | 8–8 | 50.00% |
| Geses vs Fahkumram | 6–8 | 42.86% |
| Geses vs Asuka | 6–5 | 54.55% |
| Geses vs Lars | 9–2 | 81.82% |
| Geses vs Lee | 7–3 | 70.00% |
| Geses vs Eddy | 7–2 | 77.78% |
| Geses vs Azucena | 5–2 | 71.43% |
| Geses vs Nina | 2–4 | 33.33% |
| Geses vs Zafina | 2–4 | 33.33% |
| Geses vs Anna | 1–5 | 16.67% |
| Geses vs Xiaoyu | 2–3 | 40.00% |
| Geses vs Devil Jin | 5–0 | 100.00% |
| Geses vs Feng | 1–4 | 20.00% |
| Geses vs Leo | 2–3 | 40.00% |
| Geses vs Lidia | 1–4 | 20.00% |
| Geses vs Clive | 2–3 | 40.00% |
| Geses vs Alisa | 3–1 | 75.00% |
| Geses vs Leroy | 4–0 | 100.00% |
| Geses vs Victor | 2–2 | 50.00% |
| Geses vs Jack-8 | 1–2 | 33.33% |
| Geses vs Yoshimitsu | 0–2 | 0.00% |
| Geses vs Raven | 2–0 | 100.00% |
| Geses vs Claudio | 1–0 | 100.00% |
| Geses vs Panda | 0–1 | 0.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.