| redleaf vs Jin | 35–20 | 63.64% |
| redleaf vs Bryan | 34–10 | 77.27% |
| redleaf vs Lee | 26–8 | 76.47% |
| redleaf vs Dragunov | 20–12 | 62.50% |
| redleaf vs Paul | 19–10 | 65.52% |
| redleaf vs King | 15–14 | 51.72% |
| redleaf vs Reina | 20–9 | 68.97% |
| redleaf vs Kazuya | 21–7 | 75.00% |
| redleaf vs Azucena | 17–7 | 70.83% |
| redleaf vs Hwoarang | 14–8 | 63.64% |
| redleaf vs Lili | 18–4 | 81.82% |
| redleaf vs Nina | 12–9 | 57.14% |
| redleaf vs Jun | 15–6 | 71.43% |
| redleaf vs Eddy | 17–4 | 80.95% |
| redleaf vs Law | 13–7 | 65.00% |
| redleaf vs Lars | 13–6 | 68.42% |
| redleaf vs Yoshimitsu | 12–4 | 75.00% |
| redleaf vs Devil Jin | 11–5 | 68.75% |
| redleaf vs Asuka | 15–0 | 100.00% |
| redleaf vs Claudio | 10–5 | 66.67% |
| redleaf vs Leo | 10–4 | 71.43% |
| redleaf vs Steve | 8–5 | 61.54% |
| redleaf vs Xiaoyu | 8–4 | 66.67% |
| redleaf vs Leroy | 9–3 | 75.00% |
| redleaf vs Shaheen | 9–2 | 81.82% |
| redleaf vs Zafina | 6–4 | 60.00% |
| redleaf vs Alisa | 7–2 | 77.78% |
| redleaf vs Feng | 6–2 | 75.00% |
| redleaf vs Victor | 3–4 | 42.86% |
| redleaf vs Raven | 3–4 | 42.86% |
| redleaf vs Jack-8 | 4–2 | 66.67% |
| redleaf vs Kuma | 4–2 | 66.67% |
| redleaf vs Heihachi | 5–0 | 100.00% |
| redleaf vs Panda | 2–1 | 66.67% |
| redleaf vs Clive | 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.