| Abolila22 vs King | 234–197 | 54.29% |
| Abolila22 vs Kazuya | 197–221 | 47.13% |
| Abolila22 vs Jin | 197–218 | 47.47% |
| Abolila22 vs Bryan | 194–166 | 53.89% |
| Abolila22 vs Hwoarang | 141–173 | 44.90% |
| Abolila22 vs Paul | 142–157 | 47.49% |
| Abolila22 vs Dragunov | 127–137 | 48.11% |
| Abolila22 vs Law | 121–137 | 46.90% |
| Abolila22 vs Reina | 128–130 | 49.61% |
| Abolila22 vs Devil Jin | 111–103 | 51.87% |
| Abolila22 vs Steve | 126–84 | 60.00% |
| Abolila22 vs Lili | 92–110 | 45.54% |
| Abolila22 vs Yoshimitsu | 81–94 | 46.29% |
| Abolila22 vs Heihachi | 74–94 | 44.05% |
| Abolila22 vs Jun | 80–86 | 48.19% |
| Abolila22 vs Xiaoyu | 87–77 | 53.05% |
| Abolila22 vs Lee | 66–91 | 42.04% |
| Abolila22 vs Eddy | 68–79 | 46.26% |
| Abolila22 vs Asuka | 78–66 | 54.17% |
| Abolila22 vs Azucena | 61–78 | 43.88% |
| Abolila22 vs Feng | 70–67 | 51.09% |
| Abolila22 vs Lidia | 77–58 | 57.04% |
| Abolila22 vs Alisa | 53–78 | 40.46% |
| Abolila22 vs Lars | 66–60 | 52.38% |
| Abolila22 vs Nina | 44–76 | 36.67% |
| Abolila22 vs Clive | 36–60 | 37.50% |
| Abolila22 vs Victor | 47–45 | 51.09% |
| Abolila22 vs Leo | 45–43 | 51.14% |
| Abolila22 vs Leroy | 32–53 | 37.65% |
| Abolila22 vs Claudio | 29–51 | 36.25% |
| Abolila22 vs Kuma | 21–44 | 32.31% |
| Abolila22 vs Raven | 27–32 | 45.76% |
| Abolila22 vs Jack-8 | 28–30 | 48.28% |
| Abolila22 vs Shaheen | 22–20 | 52.38% |
| Abolila22 vs Zafina | 13–21 | 38.24% |
| Abolila22 vs Panda | 5–12 | 29.41% |
| Abolila22 vs Fahkumram | 7–2 | 77.78% |
| Abolila22 vs Anna | 5–3 | 62.50% |
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.