| Acorleone vs Hwoarang | 151–120 | 55.72% |
| Acorleone vs Kazuya | 141–130 | 52.03% |
| Acorleone vs Jin | 144–118 | 54.96% |
| Acorleone vs Bryan | 101–113 | 47.20% |
| Acorleone vs Law | 93–75 | 55.36% |
| Acorleone vs King | 103–60 | 63.19% |
| Acorleone vs Reina | 69–63 | 52.27% |
| Acorleone vs Yoshimitsu | 56–67 | 45.53% |
| Acorleone vs Paul | 59–57 | 50.86% |
| Acorleone vs Dragunov | 62–54 | 53.45% |
| Acorleone vs Heihachi | 51–61 | 45.54% |
| Acorleone vs Steve | 45–63 | 41.67% |
| Acorleone vs Nina | 67–34 | 66.34% |
| Acorleone vs Devil Jin | 46–53 | 46.46% |
| Acorleone vs Lars | 53–43–1 | 55.21% |
| Acorleone vs Eddy | 50–44 | 53.19% |
| Acorleone vs Asuka | 43–47 | 47.78% |
| Acorleone vs Jun | 47–42 | 52.81% |
| Acorleone vs Feng | 53–32 | 62.35% |
| Acorleone vs Lee | 37–48 | 43.53% |
| Acorleone vs Azucena | 41–40 | 50.62% |
| Acorleone vs Xiaoyu | 39–34 | 53.42% |
| Acorleone vs Lili | 39–34 | 53.42% |
| Acorleone vs Jack-8 | 39–32 | 54.93% |
| Acorleone vs Anna | 32–36 | 47.06% |
| Acorleone vs Armor King | 31–36 | 46.27% |
| Acorleone vs Raven | 36–30 | 54.55% |
| Acorleone vs Fahkumram | 30–36 | 45.45% |
| Acorleone vs Alisa | 28–20 | 58.33% |
| Acorleone vs Victor | 25–20 | 55.56% |
| Acorleone vs Lidia | 24–21 | 53.33% |
| Acorleone vs Leo | 21–22 | 48.84% |
| Acorleone vs Leroy | 20–20 | 50.00% |
| Acorleone vs Claudio | 22–11 | 66.67% |
| Acorleone vs Clive | 13–18 | 41.94% |
| Acorleone vs Shaheen | 15–15 | 50.00% |
| Acorleone vs Kuma | 15–13 | 53.57% |
| Acorleone vs Zafina | 8–19 | 29.63% |
| Acorleone vs Miary Zo | 3–10 | 23.08% |
| Acorleone vs Panda | 7–1 | 87.50% |
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.