| RJR | IAN_ vs Miary Zo | 18–11 | 62.07% |
| RJR | IAN_ vs Steve | 21–6 | 77.78% |
| RJR | IAN_ vs King | 13–9 | 59.09% |
| RJR | IAN_ vs Xiaoyu | 10–10 | 50.00% |
| RJR | IAN_ vs Jin | 14–6 | 70.00% |
| RJR | IAN_ vs Kazuya | 11–8 | 57.89% |
| RJR | IAN_ vs Heihachi | 12–6 | 66.67% |
| RJR | IAN_ vs Armor King | 7–10 | 41.18% |
| RJR | IAN_ vs Law | 10–6 | 62.50% |
| RJR | IAN_ vs Eddy | 14–2 | 87.50% |
| RJR | IAN_ vs Dragunov | 8–7 | 53.33% |
| RJR | IAN_ vs Asuka | 5–6 | 45.45% |
| RJR | IAN_ vs Lars | 3–8 | 27.27% |
| RJR | IAN_ vs Jack-8 | 6–4 | 60.00% |
| RJR | IAN_ vs Alisa | 6–4 | 60.00% |
| RJR | IAN_ vs Paul | 6–3 | 66.67% |
| RJR | IAN_ vs Hwoarang | 3–6 | 33.33% |
| RJR | IAN_ vs Bryan | 6–3 | 66.67% |
| RJR | IAN_ vs Nina | 6–3 | 66.67% |
| RJR | IAN_ vs Feng | 7–1 | 87.50% |
| RJR | IAN_ vs Lee | 4–4 | 50.00% |
| RJR | IAN_ vs Kuma | 5–3 | 62.50% |
| RJR | IAN_ vs Clive | 4–4 | 50.00% |
| RJR | IAN_ vs Anna | 6–2 | 75.00% |
| RJR | IAN_ vs Reina | 5–2 | 71.43% |
| RJR | IAN_ vs Azucena | 4–3 | 57.14% |
| RJR | IAN_ vs Zafina | 2–3 | 40.00% |
| RJR | IAN_ vs Fahkumram | 2–3 | 40.00% |
| RJR | IAN_ vs Devil Jin | 2–2 | 50.00% |
| RJR | IAN_ vs Lili | 3–1 | 75.00% |
| RJR | IAN_ vs Claudio | 2–2 | 50.00% |
| RJR | IAN_ vs Shaheen | 2–2 | 50.00% |
| RJR | IAN_ vs Raven | 2–2 | 50.00% |
| RJR | IAN_ vs Lidia | 4–0 | 100.00% |
| RJR | IAN_ vs Yoshimitsu | 1–1 | 50.00% |
| RJR | IAN_ vs Leo | 0–2 | 0.00% |
| RJR | IAN_ vs Leroy | 0–2 | 0.00% |
| RJR | IAN_ vs Jun | 1–1 | 50.00% |
| RJR | IAN_ vs Victor | 1–1 | 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.