| Rups vs Jin | 75–97 | 43.60% |
| Rups vs King | 76–94 | 44.71% |
| Rups vs Hwoarang | 89–79 | 52.98% |
| Rups vs Steve | 83–62 | 57.24% |
| Rups vs Kazuya | 72–70 | 50.70% |
| Rups vs Reina | 65–75 | 46.43% |
| Rups vs Law | 54–63 | 46.15% |
| Rups vs Lili | 52–57 | 47.71% |
| Rups vs Bryan | 54–48 | 52.94% |
| Rups vs Eddy | 39–63 | 38.24% |
| Rups vs Azucena | 36–48 | 42.86% |
| Rups vs Dragunov | 33–50 | 39.76% |
| Rups vs Lars | 28–44 | 38.89% |
| Rups vs Jun | 35–36 | 49.30% |
| Rups vs Yoshimitsu | 35–34 | 50.72% |
| Rups vs Victor | 29–35 | 45.31% |
| Rups vs Paul | 25–37 | 40.32% |
| Rups vs Feng | 25–35 | 41.67% |
| Rups vs Lee | 26–32 | 44.83% |
| Rups vs Xiaoyu | 31–24 | 56.36% |
| Rups vs Lidia | 18–34 | 34.62% |
| Rups vs Nina | 15–34 | 30.61% |
| Rups vs Clive | 19–27 | 41.30% |
| Rups vs Jack-8 | 19–23 | 45.24% |
| Rups vs Asuka | 19–23 | 45.24% |
| Rups vs Leo | 23–18 | 56.10% |
| Rups vs Alisa | 18–23 | 43.90% |
| Rups vs Devil Jin | 11–29 | 27.50% |
| Rups vs Claudio | 18–20 | 47.37% |
| Rups vs Raven | 22–15 | 59.46% |
| Rups vs Heihachi | 13–23 | 36.11% |
| Rups vs Leroy | 8–18 | 30.77% |
| Rups vs Shaheen | 10–11 | 47.62% |
| Rups vs Kuma | 6–9 | 40.00% |
| Rups vs Anna | 4–9 | 30.77% |
| Rups vs Panda | 4–5 | 44.44% |
| Rups vs Fahkumram | 3–6 | 33.33% |
| Rups vs Zafina | 5–2 | 71.43% |
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.