| inaka_ngsk vs Dragunov | 34–32 | 51.52% |
| inaka_ngsk vs Bryan | 39–26 | 60.00% |
| inaka_ngsk vs Hwoarang | 34–28 | 54.84% |
| inaka_ngsk vs Paul | 30–27 | 52.63% |
| inaka_ngsk vs Asuka | 40–15 | 72.73% |
| inaka_ngsk vs King | 29–21 | 58.00% |
| inaka_ngsk vs Heihachi | 18–26 | 40.91% |
| inaka_ngsk vs Steve | 20–19 | 51.28% |
| inaka_ngsk vs Nina | 21–18 | 53.85% |
| inaka_ngsk vs Kazuya | 22–16 | 57.89% |
| inaka_ngsk vs Devil Jin | 22–12 | 64.71% |
| inaka_ngsk vs Law | 24–9 | 72.73% |
| inaka_ngsk vs Lili | 18–15 | 54.55% |
| inaka_ngsk vs Reina | 18–14 | 56.25% |
| inaka_ngsk vs Jin | 18–13 | 58.06% |
| inaka_ngsk vs Jun | 11–19 | 36.67% |
| inaka_ngsk vs Lars | 13–15 | 46.43% |
| inaka_ngsk vs Feng | 19–8 | 70.37% |
| inaka_ngsk vs Victor | 15–12 | 55.56% |
| inaka_ngsk vs Xiaoyu | 18–8 | 69.23% |
| inaka_ngsk vs Alisa | 17–9 | 65.38% |
| inaka_ngsk vs Claudio | 13–12 | 52.00% |
| inaka_ngsk vs Yoshimitsu | 11–13 | 45.83% |
| inaka_ngsk vs Eddy | 12–12 | 50.00% |
| inaka_ngsk vs Anna | 9–13 | 40.91% |
| inaka_ngsk vs Leo | 10–11 | 47.62% |
| inaka_ngsk vs Lee | 12–9 | 57.14% |
| inaka_ngsk vs Azucena | 8–13 | 38.10% |
| inaka_ngsk vs Jack-8 | 11–8 | 57.89% |
| inaka_ngsk vs Fahkumram | 5–11 | 31.25% |
| inaka_ngsk vs Lidia | 11–4 | 73.33% |
| inaka_ngsk vs Raven | 8–5 | 61.54% |
| inaka_ngsk vs Zafina | 4–8 | 33.33% |
| inaka_ngsk vs Shaheen | 5–6 | 45.45% |
| inaka_ngsk vs Panda | 2–6 | 25.00% |
| inaka_ngsk vs Kuma | 2–4 | 33.33% |
| inaka_ngsk vs Leroy | 0–6 | 0.00% |
| inaka_ngsk vs Clive | 3–3 | 50.00% |
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.