| ILoveHate vs King | 66–75 | 46.81% |
| ILoveHate vs Kazuya | 66–73 | 47.48% |
| ILoveHate vs Jin | 60–73 | 45.11% |
| ILoveHate vs Reina | 59–48 | 55.14% |
| ILoveHate vs Hwoarang | 30–49 | 37.97% |
| ILoveHate vs Bryan | 34–44 | 43.59% |
| ILoveHate vs Steve | 31–47 | 39.74% |
| ILoveHate vs Yoshimitsu | 29–42 | 40.85% |
| ILoveHate vs Paul | 29–39 | 42.65% |
| ILoveHate vs Law | 21–37 | 36.21% |
| ILoveHate vs Lee | 29–27 | 51.79% |
| ILoveHate vs Jun | 30–23 | 56.60% |
| ILoveHate vs Heihachi | 15–33 | 31.25% |
| ILoveHate vs Lili | 15–31 | 32.61% |
| ILoveHate vs Lars | 12–34 | 26.09% |
| ILoveHate vs Victor | 24–22 | 52.17% |
| ILoveHate vs Devil Jin | 23–21 | 52.27% |
| ILoveHate vs Dragunov | 21–22 | 48.84% |
| ILoveHate vs Eddy | 17–23 | 42.50% |
| ILoveHate vs Azucena | 16–21 | 43.24% |
| ILoveHate vs Claudio | 18–17 | 51.43% |
| ILoveHate vs Lidia | 19–15 | 55.88% |
| ILoveHate vs Alisa | 13–19 | 40.62% |
| ILoveHate vs Nina | 15–16 | 48.39% |
| ILoveHate vs Asuka | 14–15 | 48.28% |
| ILoveHate vs Raven | 21–7 | 75.00% |
| ILoveHate vs Shaheen | 14–11 | 56.00% |
| ILoveHate vs Xiaoyu | 13–9 | 59.09% |
| ILoveHate vs Fahkumram | 5–15 | 25.00% |
| ILoveHate vs Feng | 9–9 | 50.00% |
| ILoveHate vs Clive | 3–14 | 17.65% |
| ILoveHate vs Anna | 7–10 | 41.18% |
| ILoveHate vs Leo | 6–10 | 37.50% |
| ILoveHate vs Leroy | 4–12 | 25.00% |
| ILoveHate vs Jack-8 | 6–7 | 46.15% |
| ILoveHate vs Kuma | 4–9 | 30.77% |
| ILoveHate vs Armor King | 9–4 | 69.23% |
| ILoveHate vs Zafina | 3–5 | 37.50% |
| ILoveHate vs Panda | 1–2 | 33.33% |
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.