| Abil56 vs Kazuya | 105–87 | 54.69% |
| Abil56 vs Reina | 111–74 | 60.00% |
| Abil56 vs Dragunov | 53–101 | 34.42% |
| Abil56 vs Jin | 74–70 | 51.39% |
| Abil56 vs King | 78–59 | 56.93% |
| Abil56 vs Bryan | 72–49 | 59.50% |
| Abil56 vs Heihachi | 59–50 | 54.13% |
| Abil56 vs Hwoarang | 60–45 | 57.14% |
| Abil56 vs Yoshimitsu | 49–46 | 51.58% |
| Abil56 vs Law | 49–42 | 53.85% |
| Abil56 vs Steve | 39–51 | 43.33% |
| Abil56 vs Lars | 38–47 | 44.71% |
| Abil56 vs Lili | 37–40 | 48.05% |
| Abil56 vs Paul | 27–49 | 35.53% |
| Abil56 vs Jun | 33–42 | 44.00% |
| Abil56 vs Devil Jin | 34–33 | 50.75% |
| Abil56 vs Victor | 28–35 | 44.44% |
| Abil56 vs Asuka | 28–29 | 49.12% |
| Abil56 vs Feng | 30–26 | 53.57% |
| Abil56 vs Alisa | 25–27 | 48.08% |
| Abil56 vs Xiaoyu | 27–23 | 54.00% |
| Abil56 vs Lee | 16–31 | 34.04% |
| Abil56 vs Clive | 20–26 | 43.48% |
| Abil56 vs Leo | 24–18 | 57.14% |
| Abil56 vs Nina | 18–21 | 46.15% |
| Abil56 vs Raven | 21–15 | 58.33% |
| Abil56 vs Lidia | 22–14 | 61.11% |
| Abil56 vs Azucena | 19–15 | 55.88% |
| Abil56 vs Leroy | 17–15 | 53.12% |
| Abil56 vs Shaheen | 6–23 | 20.69% |
| Abil56 vs Kuma | 11–16 | 40.74% |
| Abil56 vs Eddy | 11–14 | 44.00% |
| Abil56 vs Jack-8 | 16–7 | 69.57% |
| Abil56 vs Claudio | 10–6 | 62.50% |
| Abil56 vs Panda | 6–1 | 85.71% |
| Abil56 vs Zafina | 4–3 | 57.14% |
| Abil56 vs Anna | 0–1 | 0.00% |
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.