| AkaiMe vs Kazuya | 36–29 | 55.38% |
| AkaiMe vs King | 37–27 | 57.81% |
| AkaiMe vs Hwoarang | 24–19 | 55.81% |
| AkaiMe vs Jin | 26–17 | 60.47% |
| AkaiMe vs Reina | 31–10 | 75.61% |
| AkaiMe vs Dragunov | 15–25 | 37.50% |
| AkaiMe vs Bryan | 23–16 | 58.97% |
| AkaiMe vs Yoshimitsu | 14–20 | 41.18% |
| AkaiMe vs Steve | 18–14 | 56.25% |
| AkaiMe vs Heihachi | 9–22 | 29.03% |
| AkaiMe vs Law | 14–16 | 46.67% |
| AkaiMe vs Paul | 8–21 | 27.59% |
| AkaiMe vs Fahkumram | 8–14 | 36.36% |
| AkaiMe vs Asuka | 8–13 | 38.10% |
| AkaiMe vs Devil Jin | 8–13 | 38.10% |
| AkaiMe vs Kuma | 5–14 | 26.32% |
| AkaiMe vs Jun | 10–8 | 55.56% |
| AkaiMe vs Azucena | 11–7 | 61.11% |
| AkaiMe vs Clive | 11–5 | 68.75% |
| AkaiMe vs Lili | 9–6 | 60.00% |
| AkaiMe vs Alisa | 9–6 | 60.00% |
| AkaiMe vs Eddy | 8–6 | 57.14% |
| AkaiMe vs Lee | 7–6 | 53.85% |
| AkaiMe vs Claudio | 7–5 | 58.33% |
| AkaiMe vs Victor | 3–8 | 27.27% |
| AkaiMe vs Raven | 1–6 | 14.29% |
| AkaiMe vs Lars | 1–5 | 16.67% |
| AkaiMe vs Xiaoyu | 3–2 | 60.00% |
| AkaiMe vs Leo | 1–4 | 20.00% |
| AkaiMe vs Shaheen | 2–3 | 40.00% |
| AkaiMe vs Leroy | 3–2 | 60.00% |
| AkaiMe vs Feng | 0–4 | 0.00% |
| AkaiMe vs Lidia | 2–2 | 50.00% |
| AkaiMe vs Nina | 2–1 | 66.67% |
| AkaiMe vs Zafina | 1–2 | 33.33% |
| AkaiMe vs Jack-8 | 2–0 | 100.00% |
| AkaiMe vs Anna | 2–0 | 100.00% |
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.