| immo vs Kazuya | 82–77 | 51.57% |
| immo vs King | 62–65 | 48.82% |
| immo vs Reina | 79–43 | 64.75% |
| immo vs Jin | 76–41 | 64.96% |
| immo vs Bryan | 60–54 | 52.63% |
| immo vs Steve | 42–40 | 51.22% |
| immo vs Heihachi | 38–44 | 46.34% |
| immo vs Lili | 32–44 | 42.11% |
| immo vs Paul | 33–39 | 45.83% |
| immo vs Xiaoyu | 38–30 | 55.88% |
| immo vs Law | 29–35 | 45.31% |
| immo vs Hwoarang | 35–28 | 55.56% |
| immo vs Dragunov | 40–21 | 65.57% |
| immo vs Azucena | 32–25 | 56.14% |
| immo vs Clive | 21–35 | 37.50% |
| immo vs Eddy | 25–28 | 47.17% |
| immo vs Lars | 22–24 | 47.83% |
| immo vs Lee | 21–25 | 45.65% |
| immo vs Nina | 21–23 | 47.73% |
| immo vs Claudio | 24–15 | 61.54% |
| immo vs Leo | 13–25 | 34.21% |
| immo vs Jun | 19–19 | 50.00% |
| immo vs Fahkumram | 15–22 | 40.54% |
| immo vs Yoshimitsu | 11–24 | 31.43% |
| immo vs Asuka | 17–18 | 48.57% |
| immo vs Devil Jin | 17–17 | 50.00% |
| immo vs Feng | 17–16 | 51.52% |
| immo vs Victor | 19–11 | 63.33% |
| immo vs Lidia | 7–18 | 28.00% |
| immo vs Alisa | 7–16 | 30.43% |
| immo vs Raven | 11–12 | 47.83% |
| immo vs Jack-8 | 13–7 | 65.00% |
| immo vs Shaheen | 6–14 | 30.00% |
| immo vs Leroy | 5–12 | 29.41% |
| immo vs Zafina | 7–8 | 46.67% |
| immo vs Kuma | 3–8 | 27.27% |
| immo vs Anna | 5–3 | 62.50% |
| immo vs Panda | 1–5 | 16.67% |
| immo vs Armor King | 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.