| NoCombos vs Kazuya | 89–141 | 38.70% |
| NoCombos vs Reina | 98–73 | 57.31% |
| NoCombos vs Dragunov | 52–115 | 31.14% |
| NoCombos vs Bryan | 40–93 | 30.08% |
| NoCombos vs King | 51–74 | 40.80% |
| NoCombos vs Jin | 47–75 | 38.52% |
| NoCombos vs Lili | 52–69 | 42.98% |
| NoCombos vs Paul | 41–76 | 35.04% |
| NoCombos vs Asuka | 45–69 | 39.47% |
| NoCombos vs Lidia | 55–59 | 48.25% |
| NoCombos vs Yoshimitsu | 52–61 | 46.02% |
| NoCombos vs Hwoarang | 45–65 | 40.91% |
| NoCombos vs Steve | 50–47 | 51.55% |
| NoCombos vs Claudio | 26–58 | 30.95% |
| NoCombos vs Law | 24–57 | 29.63% |
| NoCombos vs Jun | 23–52 | 30.67% |
| NoCombos vs Feng | 26–48 | 35.14% |
| NoCombos vs Victor | 27–47 | 36.49% |
| NoCombos vs Nina | 31–39 | 44.29% |
| NoCombos vs Devil Jin | 25–42 | 37.31% |
| NoCombos vs Xiaoyu | 23–41 | 35.94% |
| NoCombos vs Jack-8 | 14–45 | 23.73% |
| NoCombos vs Leo | 15–37 | 28.85% |
| NoCombos vs Azucena | 20–32 | 38.46% |
| NoCombos vs Alisa | 19–25 | 43.18% |
| NoCombos vs Lars | 20–23 | 46.51% |
| NoCombos vs Lee | 14–27 | 34.15% |
| NoCombos vs Leroy | 16–22 | 42.11% |
| NoCombos vs Eddy | 10–21 | 32.26% |
| NoCombos vs Kuma | 13–17 | 43.33% |
| NoCombos vs Raven | 9–21 | 30.00% |
| NoCombos vs Shaheen | 7–20 | 25.93% |
| NoCombos vs Zafina | 17–9 | 65.38% |
| NoCombos vs Panda | 5–15 | 25.00% |
| NoCombos vs Heihachi | 9–9 | 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.