| rightON029 vs Reina | 9–22 | 29.03% |
| rightON029 vs Kazuya | 7–22 | 24.14% |
| rightON029 vs Paul | 6–17 | 26.09% |
| rightON029 vs Hwoarang | 3–14 | 17.65% |
| rightON029 vs Jun | 6–11 | 35.29% |
| rightON029 vs Jin | 3–12 | 20.00% |
| rightON029 vs Bryan | 4–11 | 26.67% |
| rightON029 vs Dragunov | 2–13 | 13.33% |
| rightON029 vs Victor | 2–11 | 15.38% |
| rightON029 vs Lars | 1–11 | 8.33% |
| rightON029 vs Xiaoyu | 2–9 | 18.18% |
| rightON029 vs Eddy | 2–9 | 18.18% |
| rightON029 vs Asuka | 2–8 | 20.00% |
| rightON029 vs Devil Jin | 4–6 | 40.00% |
| rightON029 vs Azucena | 3–7 | 30.00% |
| rightON029 vs Law | 4–5 | 44.44% |
| rightON029 vs King | 5–4 | 55.56% |
| rightON029 vs Lili | 3–5 | 37.50% |
| rightON029 vs Heihachi | 3–4 | 42.86% |
| rightON029 vs Yoshimitsu | 2–4 | 33.33% |
| rightON029 vs Lee | 3–3 | 50.00% |
| rightON029 vs Zafina | 0–6 | 0.00% |
| rightON029 vs Steve | 2–3 | 40.00% |
| rightON029 vs Jack-8 | 2–3 | 40.00% |
| rightON029 vs Claudio | 1–4 | 20.00% |
| rightON029 vs Leroy | 0–5 | 0.00% |
| rightON029 vs Alisa | 0–4 | 0.00% |
| rightON029 vs Kuma | 2–2 | 50.00% |
| rightON029 vs Feng | 1–1 | 50.00% |
| rightON029 vs Leo | 0–2 | 0.00% |
| rightON029 vs Nina | 0–1 | 0.00% |
| rightON029 vs Panda | 0–1 | 0.00% |
| rightON029 vs Raven | 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.