| Hate vs King | 17–16 | 51.52% |
| Hate vs Steve | 19–13 | 59.38% |
| Hate vs Eddy | 20–11 | 64.52% |
| Hate vs Kazuya | 20–10 | 66.67% |
| Hate vs Paul | 14–14–1 | 50.00% |
| Hate vs Bryan | 12–17 | 41.38% |
| Hate vs Jin | 17–11 | 60.71% |
| Hate vs Reina | 19–4 | 82.61% |
| Hate vs Yoshimitsu | 16–5 | 76.19% |
| Hate vs Hwoarang | 13–8 | 61.90% |
| Hate vs Azucena | 14–6 | 70.00% |
| Hate vs Law | 15–4 | 78.95% |
| Hate vs Devil Jin | 12–5 | 70.59% |
| Hate vs Lili | 8–9 | 47.06% |
| Hate vs Victor | 10–5 | 66.67% |
| Hate vs Anna | 10–4 | 71.43% |
| Hate vs Dragunov | 6–6 | 50.00% |
| Hate vs Lars | 5–7 | 41.67% |
| Hate vs Lee | 7–5 | 58.33% |
| Hate vs Jun | 9–3 | 75.00% |
| Hate vs Xiaoyu | 8–3 | 72.73% |
| Hate vs Jack-8 | 7–4 | 63.64% |
| Hate vs Leroy | 8–2 | 80.00% |
| Hate vs Leo | 5–3 | 62.50% |
| Hate vs Claudio | 4–4 | 50.00% |
| Hate vs Nina | 4–4 | 50.00% |
| Hate vs Asuka | 5–2 | 71.43% |
| Hate vs Feng | 7–0 | 100.00% |
| Hate vs Raven | 5–2 | 71.43% |
| Hate vs Heihachi | 7–0 | 100.00% |
| Hate vs Alisa | 4–2 | 66.67% |
| Hate vs Zafina | 6–0 | 100.00% |
| Hate vs Lidia | 5–1 | 83.33% |
| Hate vs Clive | 4–1 | 80.00% |
| Hate vs Shaheen | 2–2 | 50.00% |
| Hate vs Kuma | 2–2 | 50.00% |
| Hate vs Panda | 3–0 | 100.00% |
| Hate vs Fahkumram | 2–1 | 66.67% |
| Hate vs Armor King | 0–1 | 0.00% |
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.