| Rolando vs Reina | 31–28 | 52.54% |
| Rolando vs King | 32–25 | 56.14% |
| Rolando vs Jin | 20–19 | 51.28% |
| Rolando vs Hwoarang | 17–17–1 | 50.00% |
| Rolando vs Steve | 19–14 | 57.58% |
| Rolando vs Law | 18–12 | 60.00% |
| Rolando vs Asuka | 16–13 | 55.17% |
| Rolando vs Lars | 11–18 | 37.93% |
| Rolando vs Azucena | 16–12 | 57.14% |
| Rolando vs Kazuya | 15–12 | 55.56% |
| Rolando vs Victor | 8–15 | 34.78% |
| Rolando vs Leroy | 14–8 | 63.64% |
| Rolando vs Jun | 10–12 | 45.45% |
| Rolando vs Leo | 13–7–1 | 65.00% |
| Rolando vs Dragunov | 7–10 | 41.18% |
| Rolando vs Eddy | 9–8 | 52.94% |
| Rolando vs Bryan | 9–7 | 56.25% |
| Rolando vs Lili | 12–4 | 75.00% |
| Rolando vs Lidia | 8–7 | 53.33% |
| Rolando vs Jack-8 | 6–7 | 46.15% |
| Rolando vs Nina | 9–4 | 69.23% |
| Rolando vs Yoshimitsu | 5–6 | 45.45% |
| Rolando vs Feng | 6–5 | 54.55% |
| Rolando vs Lee | 7–4 | 63.64% |
| Rolando vs Paul | 5–5 | 50.00% |
| Rolando vs Shaheen | 6–2 | 75.00% |
| Rolando vs Alisa | 2–4 | 33.33% |
| Rolando vs Xiaoyu | 2–3 | 40.00% |
| Rolando vs Claudio | 4–1 | 80.00% |
| Rolando vs Kuma | 2–3 | 40.00% |
| Rolando vs Raven | 2–2 | 50.00% |
| Rolando vs Clive | 2–2 | 50.00% |
| Rolando vs Devil Jin | 3–0 | 100.00% |
| Rolando vs Panda | 1–2 | 33.33% |
| Rolando vs Heihachi | 2–1 | 66.67% |
| Rolando vs Zafina | 0–2 | 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.