| Inorin_pretty vs Dragunov | 29–4 | 87.88% |
| Inorin_pretty vs Paul | 28–4 | 87.50% |
| Inorin_pretty vs Jin | 16–9 | 64.00% |
| Inorin_pretty vs Bryan | 20–5 | 80.00% |
| Inorin_pretty vs Kazuya | 25–0 | 100.00% |
| Inorin_pretty vs Hwoarang | 17–3 | 85.00% |
| Inorin_pretty vs Reina | 17–1 | 94.44% |
| Inorin_pretty vs Law | 14–2 | 87.50% |
| Inorin_pretty vs King | 13–1 | 92.86% |
| Inorin_pretty vs Asuka | 12–0 | 100.00% |
| Inorin_pretty vs Yoshimitsu | 10–1 | 90.91% |
| Inorin_pretty vs Steve | 10–1 | 90.91% |
| Inorin_pretty vs Nina | 8–3 | 72.73% |
| Inorin_pretty vs Victor | 9–2 | 81.82% |
| Inorin_pretty vs Heihachi | 8–3 | 72.73% |
| Inorin_pretty vs Lili | 8–2 | 80.00% |
| Inorin_pretty vs Feng | 6–3 | 66.67% |
| Inorin_pretty vs Lee | 8–1 | 88.89% |
| Inorin_pretty vs Alisa | 8–0 | 100.00% |
| Inorin_pretty vs Azucena | 6–2 | 75.00% |
| Inorin_pretty vs Armor King | 8–0 | 100.00% |
| Inorin_pretty vs Xiaoyu | 7–0 | 100.00% |
| Inorin_pretty vs Devil Jin | 6–1 | 85.71% |
| Inorin_pretty vs Shaheen | 7–0 | 100.00% |
| Inorin_pretty vs Leroy | 6–1 | 85.71% |
| Inorin_pretty vs Panda | 5–1 | 83.33% |
| Inorin_pretty vs Lidia | 3–3 | 50.00% |
| Inorin_pretty vs Jack-8 | 5–0 | 100.00% |
| Inorin_pretty vs Leo | 3–2 | 60.00% |
| Inorin_pretty vs Lars | 1–4 | 20.00% |
| Inorin_pretty vs Claudio | 4–0 | 100.00% |
| Inorin_pretty vs Kuma | 3–0 | 100.00% |
| Inorin_pretty vs Eddy | 0–3 | 0.00% |
| Inorin_pretty vs Raven | 0–2 | 0.00% |
| Inorin_pretty vs Clive | 2–0 | 100.00% |
| Inorin_pretty vs Zafina | 0–1 | 0.00% |
| Inorin_pretty vs Jun | 1–0 | 100.00% |
| Inorin_pretty vs Anna | 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.