| UncleFit09 vs Kazuya | 164–171 | 48.96% |
| UncleFit09 vs King | 152–144 | 51.35% |
| UncleFit09 vs Jin | 120–127 | 48.58% |
| UncleFit09 vs Hwoarang | 99–144 | 40.74% |
| UncleFit09 vs Reina | 120–122 | 49.59% |
| UncleFit09 vs Steve | 110–120 | 47.83% |
| UncleFit09 vs Bryan | 105–116 | 47.51% |
| UncleFit09 vs Law | 96–124 | 43.64% |
| UncleFit09 vs Lee | 95–122 | 43.78% |
| UncleFit09 vs Clive | 101–87 | 53.72% |
| UncleFit09 vs Azucena | 93–77 | 54.71% |
| UncleFit09 vs Dragunov | 78–87 | 47.27% |
| UncleFit09 vs Lili | 63–97 | 39.38% |
| UncleFit09 vs Heihachi | 79–77 | 50.64% |
| UncleFit09 vs Yoshimitsu | 70–78 | 47.30% |
| UncleFit09 vs Eddy | 59–87 | 40.41% |
| UncleFit09 vs Paul | 59–66 | 47.20% |
| UncleFit09 vs Xiaoyu | 62–62 | 50.00% |
| UncleFit09 vs Jun | 48–66 | 42.11% |
| UncleFit09 vs Feng | 49–59 | 45.37% |
| UncleFit09 vs Nina | 45–58 | 43.69% |
| UncleFit09 vs Raven | 49–53 | 48.04% |
| UncleFit09 vs Lars | 44–55 | 44.44% |
| UncleFit09 vs Victor | 51–46 | 52.58% |
| UncleFit09 vs Asuka | 42–53 | 44.21% |
| UncleFit09 vs Leroy | 37–49 | 43.02% |
| UncleFit09 vs Lidia | 49–37 | 56.98% |
| UncleFit09 vs Jack-8 | 34–45 | 43.04% |
| UncleFit09 vs Devil Jin | 39–40 | 49.37% |
| UncleFit09 vs Leo | 36–41 | 46.75% |
| UncleFit09 vs Claudio | 32–41 | 43.84% |
| UncleFit09 vs Fahkumram | 42–27 | 60.87% |
| UncleFit09 vs Alisa | 20–47 | 29.85% |
| UncleFit09 vs Kuma | 13–24 | 35.14% |
| UncleFit09 vs Shaheen | 15–20 | 42.86% |
| UncleFit09 vs Zafina | 13–17 | 43.33% |
| UncleFit09 vs Anna | 13–17 | 43.33% |
| UncleFit09 vs Panda | 13–15 | 46.43% |
| UncleFit09 vs Armor King | 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.