| Kojiro vs Jin | 27–28 | 49.09% |
| Kojiro vs King | 32–20 | 61.54% |
| Kojiro vs Steve | 36–12 | 75.00% |
| Kojiro vs Heihachi | 20–19 | 51.28% |
| Kojiro vs Kazuya | 24–14 | 63.16% |
| Kojiro vs Hwoarang | 24–11 | 68.57% |
| Kojiro vs Dragunov | 13–22 | 37.14% |
| Kojiro vs Bryan | 21–11 | 65.62% |
| Kojiro vs Law | 14–15 | 48.28% |
| Kojiro vs Clive | 6–20 | 23.08% |
| Kojiro vs Paul | 8–14 | 36.36% |
| Kojiro vs Feng | 13–8 | 61.90% |
| Kojiro vs Alisa | 10–10 | 50.00% |
| Kojiro vs Reina | 14–6 | 70.00% |
| Kojiro vs Nina | 10–8 | 55.56% |
| Kojiro vs Victor | 10–8 | 55.56% |
| Kojiro vs Devil Jin | 7–10 | 41.18% |
| Kojiro vs Lili | 10–6 | 62.50% |
| Kojiro vs Lee | 8–5 | 61.54% |
| Kojiro vs Eddy | 7–6 | 53.85% |
| Kojiro vs Shaheen | 6–6 | 50.00% |
| Kojiro vs Jun | 6–6 | 50.00% |
| Kojiro vs Yoshimitsu | 5–6 | 45.45% |
| Kojiro vs Kuma | 6–4 | 60.00% |
| Kojiro vs Lidia | 7–3 | 70.00% |
| Kojiro vs Xiaoyu | 7–2 | 77.78% |
| Kojiro vs Lars | 7–2 | 77.78% |
| Kojiro vs Claudio | 5–3 | 62.50% |
| Kojiro vs Azucena | 3–3 | 50.00% |
| Kojiro vs Leo | 4–1 | 80.00% |
| Kojiro vs Zafina | 3–2 | 60.00% |
| Kojiro vs Leroy | 1–4 | 20.00% |
| Kojiro vs Raven | 2–3 | 40.00% |
| Kojiro vs Asuka | 4–0 | 100.00% |
| Kojiro vs Jack-8 | 2–1 | 66.67% |
| Kojiro vs Panda | 2–1 | 66.67% |
| Kojiro vs Anna | 3–0 | 100.00% |
| Kojiro vs Miary Zo | 2–1 | 66.67% |
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.