| Haru vs Jin | 36–13 | 73.47% |
| Haru vs King | 25–10 | 71.43% |
| Haru vs Bryan | 19–11 | 63.33% |
| Haru vs Dragunov | 23–7 | 76.67% |
| Haru vs Reina | 20–9 | 68.97% |
| Haru vs Hwoarang | 19–7 | 73.08% |
| Haru vs Yoshimitsu | 19–3 | 86.36% |
| Haru vs Azucena | 14–7 | 66.67% |
| Haru vs Kazuya | 16–4 | 80.00% |
| Haru vs Claudio | 16–4 | 80.00% |
| Haru vs Paul | 14–5 | 73.68% |
| Haru vs Steve | 14–4 | 77.78% |
| Haru vs Lars | 9–8 | 52.94% |
| Haru vs Feng | 14–2 | 87.50% |
| Haru vs Jun | 13–3 | 81.25% |
| Haru vs Law | 10–3 | 76.92% |
| Haru vs Lidia | 8–4 | 66.67% |
| Haru vs Lee | 11–0 | 100.00% |
| Haru vs Devil Jin | 9–1 | 90.00% |
| Haru vs Raven | 5–4 | 55.56% |
| Haru vs Jack-8 | 4–4 | 50.00% |
| Haru vs Kuma | 7–1 | 87.50% |
| Haru vs Panda | 5–3 | 62.50% |
| Haru vs Asuka | 7–0 | 100.00% |
| Haru vs Lili | 6–1 | 85.71% |
| Haru vs Nina | 4–3 | 57.14% |
| Haru vs Eddy | 5–2 | 71.43% |
| Haru vs Alisa | 4–2 | 66.67% |
| Haru vs Leroy | 5–1 | 83.33% |
| Haru vs Armor King | 3–3 | 50.00% |
| Haru vs Xiaoyu | 4–1 | 80.00% |
| Haru vs Leo | 4–1 | 80.00% |
| Haru vs Victor | 1–4 | 20.00% |
| Haru vs Zafina | 2–2 | 50.00% |
| Haru vs Fahkumram | 4–0 | 100.00% |
| Haru vs Shaheen | 2–1 | 66.67% |
| Haru vs Heihachi | 3–0 | 100.00% |
| Haru vs Clive | 2–1 | 66.67% |
| Haru vs Miary Zo | 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.