| Rocc in80s vs King | 123–122 | 50.20% |
| Rocc in80s vs Jin | 114–129 | 46.91% |
| Rocc in80s vs Kazuya | 124–115 | 51.88% |
| Rocc in80s vs Bryan | 134–91 | 59.56% |
| Rocc in80s vs Reina | 87–116 | 42.86% |
| Rocc in80s vs Hwoarang | 89–113 | 44.06% |
| Rocc in80s vs Steve | 86–84 | 50.59% |
| Rocc in80s vs Lili | 65–81 | 44.52% |
| Rocc in80s vs Armor King | 65–77 | 45.77% |
| Rocc in80s vs Lee | 62–73 | 45.93% |
| Rocc in80s vs Yoshimitsu | 65–68 | 48.87% |
| Rocc in80s vs Paul | 51–78 | 39.53% |
| Rocc in80s vs Dragunov | 64–58 | 52.46% |
| Rocc in80s vs Law | 44–71 | 38.26% |
| Rocc in80s vs Asuka | 58–47 | 55.24% |
| Rocc in80s vs Jun | 43–62 | 40.95% |
| Rocc in80s vs Azucena | 56–49 | 53.33% |
| Rocc in80s vs Heihachi | 37–57 | 39.36% |
| Rocc in80s vs Lars | 37–55 | 40.22% |
| Rocc in80s vs Eddy | 37–46 | 44.58% |
| Rocc in80s vs Leo | 36–43 | 45.57% |
| Rocc in80s vs Nina | 31–46 | 40.26% |
| Rocc in80s vs Devil Jin | 36–40 | 47.37% |
| Rocc in80s vs Raven | 32–36 | 47.06% |
| Rocc in80s vs Feng | 25–40 | 38.46% |
| Rocc in80s vs Xiaoyu | 32–30 | 51.61% |
| Rocc in80s vs Alisa | 17–43 | 28.33% |
| Rocc in80s vs Zafina | 26–26 | 50.00% |
| Rocc in80s vs Leroy | 23–27 | 46.00% |
| Rocc in80s vs Victor | 15–31 | 32.61% |
| Rocc in80s vs Miary Zo | 26–19 | 57.78% |
| Rocc in80s vs Lidia | 23–18 | 56.10% |
| Rocc in80s vs Clive | 18–23 | 43.90% |
| Rocc in80s vs Jack-8 | 21–18 | 53.85% |
| Rocc in80s vs Claudio | 18–21 | 46.15% |
| Rocc in80s vs Kuma | 16–23 | 41.03% |
| Rocc in80s vs Shaheen | 10–12 | 45.45% |
| Rocc in80s vs Anna | 7–15 | 31.82% |
| Rocc in80s vs Fahkumram | 12–9 | 57.14% |
| Rocc in80s vs Panda | 4–4 | 50.00% |
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.