| Abolila33 vs Kazuya | 184–139 | 56.97% |
| Abolila33 vs Jin | 147–150 | 49.49% |
| Abolila33 vs King | 149–129 | 53.60% |
| Abolila33 vs Bryan | 145–131 | 52.54% |
| Abolila33 vs Hwoarang | 133–99 | 57.33% |
| Abolila33 vs Law | 109–101 | 51.90% |
| Abolila33 vs Paul | 89–91 | 49.44% |
| Abolila33 vs Lili | 55–112 | 32.93% |
| Abolila33 vs Yoshimitsu | 81–81 | 50.00% |
| Abolila33 vs Dragunov | 81–68 | 54.36% |
| Abolila33 vs Heihachi | 86–62 | 58.11% |
| Abolila33 vs Steve | 89–48 | 64.96% |
| Abolila33 vs Lars | 71–66 | 51.82% |
| Abolila33 vs Anna | 59–74 | 44.36% |
| Abolila33 vs Fahkumram | 70–63 | 52.63% |
| Abolila33 vs Nina | 61–62 | 49.59% |
| Abolila33 vs Armor King | 67–56 | 54.47% |
| Abolila33 vs Reina | 58–58 | 50.00% |
| Abolila33 vs Jun | 55–60 | 47.83% |
| Abolila33 vs Devil Jin | 65–47 | 58.04% |
| Abolila33 vs Lee | 43–56 | 43.43% |
| Abolila33 vs Feng | 40–58 | 40.82% |
| Abolila33 vs Eddy | 50–43 | 53.76% |
| Abolila33 vs Azucena | 43–45 | 48.86% |
| Abolila33 vs Victor | 42–44 | 48.84% |
| Abolila33 vs Asuka | 35–41 | 46.05% |
| Abolila33 vs Alisa | 39–33 | 54.17% |
| Abolila33 vs Leroy | 24–45 | 34.78% |
| Abolila33 vs Jack-8 | 32–36 | 47.06% |
| Abolila33 vs Miary Zo | 20–37 | 35.09% |
| Abolila33 vs Clive | 25–28 | 47.17% |
| Abolila33 vs Claudio | 22–29 | 43.14% |
| Abolila33 vs Xiaoyu | 23–25 | 47.92% |
| Abolila33 vs Kuma | 21–27 | 43.75% |
| Abolila33 vs Zafina | 17–27 | 38.64% |
| Abolila33 vs Raven | 17–24 | 41.46% |
| Abolila33 vs Lidia | 14–23 | 37.84% |
| Abolila33 vs Leo | 11–19 | 36.67% |
| Abolila33 vs Shaheen | 9–11 | 45.00% |
| Abolila33 vs Panda | 5–13 | 27.78% |
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.