| gakuen vs Kazuya | 29–22 | 56.86% |
| gakuen vs Reina | 30–14 | 68.18% |
| gakuen vs Jin | 23–15 | 60.53% |
| gakuen vs King | 20–12 | 62.50% |
| gakuen vs Dragunov | 18–12 | 60.00% |
| gakuen vs Steve | 19–7 | 73.08% |
| gakuen vs Yoshimitsu | 13–8 | 61.90% |
| gakuen vs Lili | 11–10 | 52.38% |
| gakuen vs Law | 13–7 | 65.00% |
| gakuen vs Hwoarang | 14–6 | 70.00% |
| gakuen vs Eddy | 11–6 | 64.71% |
| gakuen vs Heihachi | 8–8 | 50.00% |
| gakuen vs Armor King | 8–8 | 50.00% |
| gakuen vs Azucena | 7–8 | 46.67% |
| gakuen vs Bryan | 5–9 | 35.71% |
| gakuen vs Devil Jin | 12–1 | 92.31% |
| gakuen vs Feng | 7–5 | 58.33% |
| gakuen vs Alisa | 5–7 | 41.67% |
| gakuen vs Shaheen | 8–3 | 72.73% |
| gakuen vs Lidia | 9–2 | 81.82% |
| gakuen vs Jack-8 | 7–3 | 70.00% |
| gakuen vs Victor | 5–5 | 50.00% |
| gakuen vs Paul | 4–4 | 50.00% |
| gakuen vs Xiaoyu | 5–3 | 62.50% |
| gakuen vs Nina | 2–6 | 25.00% |
| gakuen vs Kuma | 6–2 | 75.00% |
| gakuen vs Asuka | 5–2 | 71.43% |
| gakuen vs Lee | 6–0 | 100.00% |
| gakuen vs Lars | 0–5 | 0.00% |
| gakuen vs Jun | 2–2 | 50.00% |
| gakuen vs Claudio | 2–1 | 66.67% |
| gakuen vs Clive | 1–2 | 33.33% |
| gakuen vs Anna | 2–1 | 66.67% |
| gakuen vs Leo | 1–1 | 50.00% |
| gakuen vs Zafina | 2–0 | 100.00% |
| gakuen vs Fahkumram | 2–0 | 100.00% |
| gakuen vs Miary Zo | 0–2 | 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.