| Acorleone vs Kazuya | 173–150 | 53.56% |
| Acorleone vs Jin | 161–136 | 54.21% |
| Acorleone vs Hwoarang | 168–128 | 56.76% |
| Acorleone vs Bryan | 110–131 | 45.64% |
| Acorleone vs Law | 100–85 | 54.05% |
| Acorleone vs King | 112–68 | 62.22% |
| Acorleone vs Reina | 76–68 | 52.78% |
| Acorleone vs Heihachi | 63–78 | 44.68% |
| Acorleone vs Yoshimitsu | 61–74 | 45.19% |
| Acorleone vs Paul | 64–68 | 48.48% |
| Acorleone vs Dragunov | 68–62 | 52.31% |
| Acorleone vs Steve | 53–69 | 43.44% |
| Acorleone vs Devil Jin | 54–59 | 47.79% |
| Acorleone vs Eddy | 61–50 | 54.95% |
| Acorleone vs Lars | 58–48–1 | 54.72% |
| Acorleone vs Nina | 69–38 | 64.49% |
| Acorleone vs Lee | 41–60 | 40.59% |
| Acorleone vs Jun | 53–48 | 52.48% |
| Acorleone vs Asuka | 44–53 | 45.36% |
| Acorleone vs Feng | 58–36 | 61.70% |
| Acorleone vs Lili | 49–42 | 53.85% |
| Acorleone vs Azucena | 47–42 | 52.81% |
| Acorleone vs Xiaoyu | 40–40 | 50.00% |
| Acorleone vs Armor King | 40–37 | 51.95% |
| Acorleone vs Anna | 36–40 | 47.37% |
| Acorleone vs Jack-8 | 39–34 | 53.42% |
| Acorleone vs Fahkumram | 35–38 | 47.95% |
| Acorleone vs Raven | 38–33 | 53.52% |
| Acorleone vs Alisa | 35–22 | 61.40% |
| Acorleone vs Victor | 25–25 | 50.00% |
| Acorleone vs Lidia | 24–23 | 51.06% |
| Acorleone vs Leo | 22–22 | 50.00% |
| Acorleone vs Leroy | 21–23 | 47.73% |
| Acorleone vs Claudio | 23–15 | 60.53% |
| Acorleone vs Clive | 15–23 | 39.47% |
| Acorleone vs Shaheen | 19–16 | 54.29% |
| Acorleone vs Zafina | 9–20 | 31.03% |
| Acorleone vs Kuma | 15–13 | 53.57% |
| Acorleone vs Miary Zo | 10–13 | 43.48% |
| 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.