| 馬 Horse vs Jin | 19–10 | 65.52% |
| 馬 Horse vs Law | 14–6 | 70.00% |
| 馬 Horse vs Kazuya | 11–8 | 57.89% |
| 馬 Horse vs Reina | 15–4 | 78.95% |
| 馬 Horse vs King | 12–5 | 70.59% |
| 馬 Horse vs Steve | 14–3 | 82.35% |
| 馬 Horse vs Yoshimitsu | 10–2 | 83.33% |
| 馬 Horse vs Hwoarang | 5–5 | 50.00% |
| 馬 Horse vs Lee | 2–7 | 22.22% |
| 馬 Horse vs Eddy | 3–6 | 33.33% |
| 馬 Horse vs Fahkumram | 5–3 | 62.50% |
| 馬 Horse vs Xiaoyu | 3–4 | 42.86% |
| 馬 Horse vs Dragunov | 5–2 | 71.43% |
| 馬 Horse vs Anna | 4–3 | 57.14% |
| 馬 Horse vs Jack-8 | 3–3 | 50.00% |
| 馬 Horse vs Victor | 5–1 | 83.33% |
| 馬 Horse vs Bryan | 3–2 | 60.00% |
| 馬 Horse vs Nina | 5–0 | 100.00% |
| 馬 Horse vs Zafina | 3–2 | 60.00% |
| 馬 Horse vs Lars | 3–1 | 75.00% |
| 馬 Horse vs Alisa | 2–2 | 50.00% |
| 馬 Horse vs Asuka | 2–1 | 66.67% |
| 馬 Horse vs Devil Jin | 1–2 | 33.33% |
| 馬 Horse vs Feng | 2–1 | 66.67% |
| 馬 Horse vs Lili | 3–0 | 100.00% |
| 馬 Horse vs Leroy | 3–0 | 100.00% |
| 馬 Horse vs Jun | 2–1 | 66.67% |
| 馬 Horse vs Azucena | 2–1 | 66.67% |
| 馬 Horse vs Clive | 3–0 | 100.00% |
| 馬 Horse vs Armor King | 2–1 | 66.67% |
| 馬 Horse vs Paul | 2–0 | 100.00% |
| 馬 Horse vs Claudio | 2–0 | 100.00% |
| 馬 Horse vs Heihachi | 2–0 | 100.00% |
| 馬 Horse vs Shaheen | 0–1 | 0.00% |
| 馬 Horse vs Kuma | 1–0 | 100.00% |
| 馬 Horse vs Lidia | 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.