| Hanayama vs Reina | 25–21 | 54.35% |
| Hanayama vs King | 24–19 | 55.81% |
| Hanayama vs Kazuya | 22–13 | 62.86% |
| Hanayama vs Jin | 11–23 | 32.35% |
| Hanayama vs Steve | 17–15 | 53.12% |
| Hanayama vs Heihachi | 15–15 | 50.00% |
| Hanayama vs Dragunov | 8–16 | 33.33% |
| Hanayama vs Hwoarang | 6–17 | 26.09% |
| Hanayama vs Bryan | 10–11 | 47.62% |
| Hanayama vs Lidia | 12–8 | 60.00% |
| Hanayama vs Yoshimitsu | 8–8 | 50.00% |
| Hanayama vs Xiaoyu | 14–2 | 87.50% |
| Hanayama vs Paul | 5–10 | 33.33% |
| Hanayama vs Asuka | 5–10 | 33.33% |
| Hanayama vs Lili | 6–8 | 42.86% |
| Hanayama vs Eddy | 9–5 | 64.29% |
| Hanayama vs Victor | 8–5 | 61.54% |
| Hanayama vs Leo | 2–9 | 18.18% |
| Hanayama vs Kuma | 1–10 | 9.09% |
| Hanayama vs Devil Jin | 5–5 | 50.00% |
| Hanayama vs Azucena | 5–4 | 55.56% |
| Hanayama vs Law | 4–4 | 50.00% |
| Hanayama vs Alisa | 2–5 | 28.57% |
| Hanayama vs Jun | 6–1 | 85.71% |
| Hanayama vs Nina | 1–4 | 20.00% |
| Hanayama vs Jack-8 | 2–2 | 50.00% |
| Hanayama vs Feng | 2–2 | 50.00% |
| Hanayama vs Lee | 4–0 | 100.00% |
| Hanayama vs Fahkumram | 2–2 | 50.00% |
| Hanayama vs Claudio | 2–1 | 66.67% |
| Hanayama vs Shaheen | 2–1 | 66.67% |
| Hanayama vs Zafina | 3–0 | 100.00% |
| Hanayama vs Lars | 0–2 | 0.00% |
| Hanayama vs Armor King | 0–2 | 0.00% |
| Hanayama vs Leroy | 0–1 | 0.00% |
| Hanayama vs Raven | 1–0 | 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.