| Rollingu vs Kazuya | 98–37 | 72.59% |
| Rollingu vs Bryan | 79–24 | 76.70% |
| Rollingu vs Reina | 75–28 | 72.82% |
| Rollingu vs King | 77–19 | 80.21% |
| Rollingu vs Steve | 69–22 | 75.82% |
| Rollingu vs Jin | 66–22 | 75.00% |
| Rollingu vs Dragunov | 58–25 | 69.88% |
| Rollingu vs Law | 65–9 | 87.84% |
| Rollingu vs Lee | 56–15 | 78.87% |
| Rollingu vs Heihachi | 47–22 | 68.12% |
| Rollingu vs Eddy | 52–15 | 77.61% |
| Rollingu vs Hwoarang | 51–12 | 80.95% |
| Rollingu vs Devil Jin | 42–18 | 70.00% |
| Rollingu vs Asuka | 37–16 | 69.81% |
| Rollingu vs Lars | 34–18 | 65.38% |
| Rollingu vs Yoshimitsu | 41–10 | 80.39% |
| Rollingu vs Jun | 36–12 | 75.00% |
| Rollingu vs Azucena | 35–11 | 76.09% |
| Rollingu vs Paul | 35–8 | 81.40% |
| Rollingu vs Feng | 26–16 | 61.90% |
| Rollingu vs Lili | 33–8 | 80.49% |
| Rollingu vs Leo | 34–6 | 85.00% |
| Rollingu vs Leroy | 34–6 | 85.00% |
| Rollingu vs Xiaoyu | 22–14 | 61.11% |
| Rollingu vs Jack-8 | 22–13 | 62.86% |
| Rollingu vs Victor | 28–7 | 80.00% |
| Rollingu vs Nina | 24–10 | 70.59% |
| Rollingu vs Kuma | 30–4 | 88.24% |
| Rollingu vs Raven | 24–7 | 77.42% |
| Rollingu vs Shaheen | 18–11 | 62.07% |
| Rollingu vs Fahkumram | 11–14 | 44.00% |
| Rollingu vs Claudio | 14–9 | 60.87% |
| Rollingu vs Armor King | 17–5 | 77.27% |
| Rollingu vs Anna | 14–6 | 70.00% |
| Rollingu vs Miary Zo | 12–8 | 60.00% |
| Rollingu vs Alisa | 14–5 | 73.68% |
| Rollingu vs Zafina | 9–3 | 75.00% |
| Rollingu vs Lidia | 8–4 | 66.67% |
| Rollingu vs Clive | 9–2 | 81.82% |
| Rollingu vs Panda | 4–0 | 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.