| hoehoehoe vs Jin | 37–23 | 61.67% |
| hoehoehoe vs King | 40–18 | 68.97% |
| hoehoehoe vs Dragunov | 27–14 | 65.85% |
| hoehoehoe vs Kazuya | 23–13 | 63.89% |
| hoehoehoe vs Nina | 17–16 | 51.52% |
| hoehoehoe vs Hwoarang | 23–9 | 71.88% |
| hoehoehoe vs Bryan | 18–13 | 58.06% |
| hoehoehoe vs Law | 25–4 | 86.21% |
| hoehoehoe vs Heihachi | 17–9 | 65.38% |
| hoehoehoe vs Devil Jin | 16–8 | 66.67% |
| hoehoehoe vs Yoshimitsu | 11–12 | 47.83% |
| hoehoehoe vs Paul | 13–7 | 65.00% |
| hoehoehoe vs Alisa | 15–4 | 78.95% |
| hoehoehoe vs Victor | 8–10 | 44.44% |
| hoehoehoe vs Feng | 9–7 | 56.25% |
| hoehoehoe vs Steve | 15–0 | 100.00% |
| hoehoehoe vs Reina | 10–5 | 66.67% |
| hoehoehoe vs Clive | 7–8 | 46.67% |
| hoehoehoe vs Leo | 6–7 | 46.15% |
| hoehoehoe vs Lili | 10–1 | 90.91% |
| hoehoehoe vs Lidia | 6–5 | 54.55% |
| hoehoehoe vs Jun | 4–5 | 44.44% |
| hoehoehoe vs Lars | 5–3 | 62.50% |
| hoehoehoe vs Eddy | 7–1 | 87.50% |
| hoehoehoe vs Xiaoyu | 5–2 | 71.43% |
| hoehoehoe vs Lee | 5–2 | 71.43% |
| hoehoehoe vs Jack-8 | 4–2 | 66.67% |
| hoehoehoe vs Zafina | 1–4 | 20.00% |
| hoehoehoe vs Asuka | 2–2 | 50.00% |
| hoehoehoe vs Shaheen | 4–0 | 100.00% |
| hoehoehoe vs Raven | 1–3 | 25.00% |
| hoehoehoe vs Claudio | 2–1 | 66.67% |
| hoehoehoe vs Kuma | 2–0 | 100.00% |
| hoehoehoe vs Leroy | 2–0 | 100.00% |
| hoehoehoe vs Azucena | 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.