| inpou vs Kazuya | 13–28 | 31.71% |
| inpou vs King | 13–22 | 37.14% |
| inpou vs Jin | 14–21 | 40.00% |
| inpou vs Heihachi | 16–18 | 47.06% |
| inpou vs Hwoarang | 11–14 | 44.00% |
| inpou vs Lili | 5–19 | 20.83% |
| inpou vs Bryan | 10–10 | 50.00% |
| inpou vs Alisa | 11–9 | 55.00% |
| inpou vs Law | 5–12 | 29.41% |
| inpou vs Dragunov | 6–11 | 35.29% |
| inpou vs Azucena | 9–8 | 52.94% |
| inpou vs Paul | 6–9 | 40.00% |
| inpou vs Steve | 11–4 | 73.33% |
| inpou vs Reina | 4–11 | 26.67% |
| inpou vs Xiaoyu | 6–7 | 46.15% |
| inpou vs Yoshimitsu | 7–4 | 63.64% |
| inpou vs Eddy | 1–10 | 9.09% |
| inpou vs Armor King | 5–6 | 45.45% |
| inpou vs Asuka | 3–7 | 30.00% |
| inpou vs Victor | 6–4 | 60.00% |
| inpou vs Lidia | 4–6 | 40.00% |
| inpou vs Devil Jin | 6–3 | 66.67% |
| inpou vs Clive | 4–5 | 44.44% |
| inpou vs Lee | 4–4 | 50.00% |
| inpou vs Fahkumram | 3–5 | 37.50% |
| inpou vs Miary Zo | 3–4 | 42.86% |
| inpou vs Jun | 2–4 | 33.33% |
| inpou vs Anna | 2–4 | 33.33% |
| inpou vs Lars | 1–4 | 20.00% |
| inpou vs Claudio | 2–3 | 40.00% |
| inpou vs Nina | 0–5 | 0.00% |
| inpou vs Leroy | 2–3 | 40.00% |
| inpou vs Shaheen | 2–1 | 66.67% |
| inpou vs Zafina | 1–2 | 33.33% |
| inpou vs Panda | 2–0 | 100.00% |
| inpou vs Jack-8 | 0–1 | 0.00% |
| inpou vs Feng | 0–1 | 0.00% |
| inpou vs Raven | 1–0 | 100.00% |
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.