| Gevs vs Kazuya | 112–94 | 54.37% |
| Gevs vs Jin | 88–113 | 43.78% |
| Gevs vs King | 87–63 | 58.00% |
| Gevs vs Bryan | 60–74 | 44.78% |
| Gevs vs Reina | 70–64 | 52.24% |
| Gevs vs Heihachi | 65–65 | 50.00% |
| Gevs vs Law | 54–53 | 50.47% |
| Gevs vs Hwoarang | 46–61 | 42.99% |
| Gevs vs Steve | 55–47 | 53.92% |
| Gevs vs Yoshimitsu | 62–34 | 64.58% |
| Gevs vs Paul | 52–37 | 58.43% |
| Gevs vs Lili | 36–49 | 42.35% |
| Gevs vs Devil Jin | 32–40 | 44.44% |
| Gevs vs Jun | 40–30 | 57.14% |
| Gevs vs Lars | 36–28 | 56.25% |
| Gevs vs Nina | 33–27 | 55.00% |
| Gevs vs Azucena | 31–28 | 52.54% |
| Gevs vs Xiaoyu | 28–30 | 48.28% |
| Gevs vs Asuka | 26–29 | 47.27% |
| Gevs vs Dragunov | 23–32 | 41.82% |
| Gevs vs Lee | 27–24 | 52.94% |
| Gevs vs Anna | 22–28 | 44.00% |
| Gevs vs Raven | 21–19 | 52.50% |
| Gevs vs Feng | 15–22 | 40.54% |
| Gevs vs Victor | 17–20 | 45.95% |
| Gevs vs Jack-8 | 14–12 | 53.85% |
| Gevs vs Leroy | 9–17 | 34.62% |
| Gevs vs Alisa | 10–15 | 40.00% |
| Gevs vs Eddy | 9–16 | 36.00% |
| Gevs vs Clive | 19–6 | 76.00% |
| Gevs vs Claudio | 12–12 | 50.00% |
| Gevs vs Lidia | 10–13 | 43.48% |
| Gevs vs Leo | 8–10 | 44.44% |
| Gevs vs Kuma | 9–5 | 64.29% |
| Gevs vs Zafina | 7–5 | 58.33% |
| Gevs vs Shaheen | 5–2 | 71.43% |
| Gevs vs Panda | 1–2 | 33.33% |
| Gevs vs Armor King | 2–1 | 66.67% |
| Gevs vs Miary Zo | 2–0 | 100.00% |
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.