| orol vs Reina | 49–1 | 98.00% |
| orol vs Kazuya | 39–10 | 79.59% |
| orol vs Jin | 32–9 | 78.05% |
| orol vs Hwoarang | 36–4 | 90.00% |
| orol vs Paul | 33–5 | 86.84% |
| orol vs Dragunov | 34–4 | 89.47% |
| orol vs Alisa | 31–3 | 91.18% |
| orol vs Heihachi | 25–6 | 80.65% |
| orol vs Victor | 28–2 | 93.33% |
| orol vs Bryan | 20–8 | 71.43% |
| orol vs Steve | 28–0 | 100.00% |
| orol vs King | 23–2 | 92.00% |
| orol vs Azucena | 20–5 | 80.00% |
| orol vs Law | 17–7 | 70.83% |
| orol vs Clive | 18–6 | 75.00% |
| orol vs Asuka | 20–3 | 86.96% |
| orol vs Lili | 17–5 | 77.27% |
| orol vs Anna | 18–4 | 81.82% |
| orol vs Devil Jin | 18–2 | 90.00% |
| orol vs Fahkumram | 14–4 | 77.78% |
| orol vs Yoshimitsu | 15–1 | 93.75% |
| orol vs Lars | 13–2 | 86.67% |
| orol vs Eddy | 12–3 | 80.00% |
| orol vs Jack-8 | 7–6 | 53.85% |
| orol vs Jun | 11–0 | 100.00% |
| orol vs Zafina | 10–0 | 100.00% |
| orol vs Lidia | 10–0 | 100.00% |
| orol vs Leo | 9–0 | 100.00% |
| orol vs Raven | 8–1 | 88.89% |
| orol vs Nina | 6–2 | 75.00% |
| orol vs Lee | 6–2 | 75.00% |
| orol vs Leroy | 4–3 | 57.14% |
| orol vs Armor King | 5–2 | 71.43% |
| orol vs Xiaoyu | 6–0 | 100.00% |
| orol vs Claudio | 4–1 | 80.00% |
| orol vs Shaheen | 2–3 | 40.00% |
| orol vs Kuma | 3–1 | 75.00% |
| orol vs Feng | 2–1 | 66.67% |
| orol vs Panda | 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.