| Leeves vs Reina | 36–19 | 65.45% |
| Leeves vs Jin | 28–24 | 53.85% |
| Leeves vs Kazuya | 26–25 | 50.98% |
| Leeves vs Steve | 12–23 | 34.29% |
| Leeves vs Clive | 16–16 | 50.00% |
| Leeves vs Dragunov | 14–15 | 48.28% |
| Leeves vs Yoshimitsu | 14–14 | 50.00% |
| Leeves vs Bryan | 14–13 | 51.85% |
| Leeves vs Asuka | 18–9 | 66.67% |
| Leeves vs Lili | 7–18 | 28.00% |
| Leeves vs Hwoarang | 12–12 | 50.00% |
| Leeves vs Eddy | 15–9 | 62.50% |
| Leeves vs Law | 7–15 | 31.82% |
| Leeves vs King | 11–10 | 52.38% |
| Leeves vs Jun | 8–12 | 40.00% |
| Leeves vs Lee | 13–5 | 72.22% |
| Leeves vs Devil Jin | 5–12 | 29.41% |
| Leeves vs Azucena | 8–9 | 47.06% |
| Leeves vs Lidia | 6–11 | 35.29% |
| Leeves vs Fahkumram | 8–9 | 47.06% |
| Leeves vs Victor | 6–9 | 40.00% |
| Leeves vs Heihachi | 8–7 | 53.33% |
| Leeves vs Paul | 4–10 | 28.57% |
| Leeves vs Xiaoyu | 6–2 | 75.00% |
| Leeves vs Leroy | 4–4 | 50.00% |
| Leeves vs Jack-8 | 2–5 | 28.57% |
| Leeves vs Feng | 3–4 | 42.86% |
| Leeves vs Alisa | 4–3 | 57.14% |
| Leeves vs Nina | 3–4 | 42.86% |
| Leeves vs Zafina | 4–3 | 57.14% |
| Leeves vs Claudio | 4–2 | 66.67% |
| Leeves vs Leo | 1–4 | 20.00% |
| Leeves vs Raven | 2–3 | 40.00% |
| Leeves vs Kuma | 2–2 | 50.00% |
| Leeves vs Lars | 0–2 | 0.00% |
| Leeves vs Anna | 0–2 | 0.00% |
| Leeves vs Shaheen | 0–1 | 0.00% |
| Leeves 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.