| o-67S vs Kazuya | 35–27 | 56.45% |
| o-67S vs Jin | 33–27 | 55.00% |
| o-67S vs Steve | 30–22 | 57.69% |
| o-67S vs King | 19–28 | 40.43% |
| o-67S vs Dragunov | 11–17 | 39.29% |
| o-67S vs Law | 10–17 | 37.04% |
| o-67S vs Devil Jin | 10–15 | 40.00% |
| o-67S vs Bryan | 9–15 | 37.50% |
| o-67S vs Eddy | 11–12 | 47.83% |
| o-67S vs Yoshimitsu | 14–7 | 66.67% |
| o-67S vs Reina | 9–12 | 42.86% |
| o-67S vs Paul | 13–7 | 65.00% |
| o-67S vs Jun | 14–6 | 70.00% |
| o-67S vs Armor King | 9–11 | 45.00% |
| o-67S vs Lee | 9–8 | 52.94% |
| o-67S vs Hwoarang | 8–8 | 50.00% |
| o-67S vs Lili | 10–5 | 66.67% |
| o-67S vs Asuka | 4–10 | 28.57% |
| o-67S vs Nina | 6–8 | 42.86% |
| o-67S vs Victor | 6–6 | 50.00% |
| o-67S vs Lars | 6–5 | 54.55% |
| o-67S vs Xiaoyu | 7–3 | 70.00% |
| o-67S vs Claudio | 3–7 | 30.00% |
| o-67S vs Alisa | 5–4 | 55.56% |
| o-67S vs Heihachi | 4–4 | 50.00% |
| o-67S vs Feng | 3–4 | 42.86% |
| o-67S vs Kuma | 0–7 | 0.00% |
| o-67S vs Azucena | 2–5 | 28.57% |
| o-67S vs Jack-8 | 4–1 | 80.00% |
| o-67S vs Shaheen | 3–2 | 60.00% |
| o-67S vs Lidia | 2–3 | 40.00% |
| o-67S vs Clive | 0–4 | 0.00% |
| o-67S vs Anna | 2–2 | 50.00% |
| o-67S vs Leo | 3–0 | 100.00% |
| o-67S vs Leroy | 1–2 | 33.33% |
| o-67S vs Zafina | 0–2 | 0.00% |
| o-67S vs Raven | 1–0 | 100.00% |
| o-67S vs Fahkumram | 0–1 | 0.00% |
| o-67S vs Miary Zo | 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.