| InNoCent vs King | 22–20 | 52.38% |
| InNoCent vs Bryan | 13–23 | 36.11% |
| InNoCent vs Kazuya | 15–20 | 42.86% |
| InNoCent vs Asuka | 10–19–1 | 34.48% |
| InNoCent vs Jin | 14–12 | 53.85% |
| InNoCent vs Heihachi | 11–15 | 42.31% |
| InNoCent vs Steve | 9–16 | 36.00% |
| InNoCent vs Hwoarang | 14–9 | 60.87% |
| InNoCent vs Paul | 10–11 | 47.62% |
| InNoCent vs Xiaoyu | 14–6 | 70.00% |
| InNoCent vs Lili | 7–13 | 35.00% |
| InNoCent vs Devil Jin | 11–8 | 57.89% |
| InNoCent vs Lars | 13–6 | 68.42% |
| InNoCent vs Jun | 9–9 | 50.00% |
| InNoCent vs Reina | 13–5 | 72.22% |
| InNoCent vs Yoshimitsu | 9–8 | 52.94% |
| InNoCent vs Nina | 12–5 | 70.59% |
| InNoCent vs Lee | 8–8 | 50.00% |
| InNoCent vs Dragunov | 11–4 | 73.33% |
| InNoCent vs Victor | 9–6 | 60.00% |
| InNoCent vs Law | 3–6 | 33.33% |
| InNoCent vs Jack-8 | 5–4 | 55.56% |
| InNoCent vs Leroy | 6–3 | 66.67% |
| InNoCent vs Clive | 4–5 | 44.44% |
| InNoCent vs Alisa | 2–6 | 25.00% |
| InNoCent vs Azucena | 6–2 | 75.00% |
| InNoCent vs Lidia | 6–2 | 75.00% |
| InNoCent vs Anna | 2–6 | 25.00% |
| InNoCent vs Claudio | 3–4 | 42.86% |
| InNoCent vs Feng | 1–5 | 16.67% |
| InNoCent vs Shaheen | 3–2 | 60.00% |
| InNoCent vs Kuma | 1–3 | 25.00% |
| InNoCent vs Raven | 2–1 | 66.67% |
| InNoCent vs Eddy | 1–1 | 50.00% |
| InNoCent vs Panda | 1–0 | 100.00% |
| InNoCent vs Zafina | 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.