| Ahe_ vs Dragunov | 22–24 | 47.83% |
| Ahe_ vs Hwoarang | 23–20 | 53.49% |
| Ahe_ vs King | 19–17 | 52.78% |
| Ahe_ vs Bryan | 18–14 | 56.25% |
| Ahe_ vs Kazuya | 22–9 | 70.97% |
| Ahe_ vs Jin | 16–11 | 59.26% |
| Ahe_ vs Victor | 10–17 | 37.04% |
| Ahe_ vs Steve | 16–8 | 66.67% |
| Ahe_ vs Azucena | 17–7 | 70.83% |
| Ahe_ vs Reina | 14–9 | 60.87% |
| Ahe_ vs Leo | 12–9 | 57.14% |
| Ahe_ vs Jack-8 | 7–12 | 36.84% |
| Ahe_ vs Nina | 9–9 | 50.00% |
| Ahe_ vs Law | 9–8 | 52.94% |
| Ahe_ vs Lars | 10–7 | 58.82% |
| Ahe_ vs Lee | 8–9 | 47.06% |
| Ahe_ vs Asuka | 8–7 | 53.33% |
| Ahe_ vs Paul | 5–9 | 35.71% |
| Ahe_ vs Alisa | 8–6 | 57.14% |
| Ahe_ vs Devil Jin | 5–7 | 41.67% |
| Ahe_ vs Xiaoyu | 4–6 | 40.00% |
| Ahe_ vs Feng | 8–2 | 80.00% |
| Ahe_ vs Eddy | 6–4 | 60.00% |
| Ahe_ vs Jun | 4–5 | 44.44% |
| Ahe_ vs Yoshimitsu | 5–3 | 62.50% |
| Ahe_ vs Lili | 4–4 | 50.00% |
| Ahe_ vs Leroy | 2–6 | 25.00% |
| Ahe_ vs Claudio | 4–3 | 57.14% |
| Ahe_ vs Raven | 5–2 | 71.43% |
| Ahe_ vs Zafina | 3–3 | 50.00% |
| Ahe_ vs Kuma | 5–0 | 100.00% |
| Ahe_ vs Armor King | 5–0 | 100.00% |
| Ahe_ vs Miary Zo | 4–0 | 100.00% |
| Ahe_ vs Shaheen | 0–3 | 0.00% |
| Ahe_ vs Panda | 2–1 | 66.67% |
| Ahe_ vs Lidia | 2–1 | 66.67% |
| Ahe_ vs Heihachi | 2–0 | 100.00% |
| Ahe_ vs Anna | 2–0 | 100.00% |
| Ahe_ vs Fahkumram | 1–0 | 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.