| nice good vs Kazuya | 3–14 | 17.65% |
| nice good vs King | 3–10 | 23.08% |
| nice good vs Lars | 0–12 | 0.00% |
| nice good vs Yoshimitsu | 0–11 | 0.00% |
| nice good vs Nina | 4–7 | 36.36% |
| nice good vs Steve | 0–9 | 0.00% |
| nice good vs Lidia | 4–5 | 44.44% |
| nice good vs Paul | 0–8 | 0.00% |
| nice good vs Jin | 1–7 | 12.50% |
| nice good vs Dragunov | 0–8 | 0.00% |
| nice good vs Clive | 1–7 | 12.50% |
| nice good vs Alisa | 2–5 | 28.57% |
| nice good vs Reina | 1–6 | 14.29% |
| nice good vs Victor | 3–4 | 42.86% |
| nice good vs Eddy | 0–7 | 0.00% |
| nice good vs Law | 0–6 | 0.00% |
| nice good vs Bryan | 0–6 | 0.00% |
| nice good vs Claudio | 0–6 | 0.00% |
| nice good vs Zafina | 0–6 | 0.00% |
| nice good vs Devil Jin | 3–2 | 60.00% |
| nice good vs Lili | 0–4 | 0.00% |
| nice good vs Lee | 1–3 | 25.00% |
| nice good vs Kuma | 0–4 | 0.00% |
| nice good vs Armor King | 1–3 | 25.00% |
| nice good vs Asuka | 1–2 | 33.33% |
| nice good vs Shaheen | 0–3 | 0.00% |
| nice good vs Anna | 1–2 | 33.33% |
| nice good vs Jun | 0–2 | 0.00% |
| nice good vs Heihachi | 0–2 | 0.00% |
| nice good vs Fahkumram | 0–2 | 0.00% |
| nice good vs Hwoarang | 0–1 | 0.00% |
| nice good vs Leo | 1–0 | 100.00% |
| nice good vs Panda | 0–1 | 0.00% |
| nice good vs Leroy | 0–1 | 0.00% |
| nice good vs Azucena | 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.