| Jirm251 vs King | 8–21 | 27.59% |
| Jirm251 vs Hwoarang | 10–11 | 47.62% |
| Jirm251 vs Steve | 9–11 | 45.00% |
| Jirm251 vs Azucena | 7–13 | 35.00% |
| Jirm251 vs Reina | 12–6 | 66.67% |
| Jirm251 vs Jin | 7–10 | 41.18% |
| Jirm251 vs Victor | 2–14 | 12.50% |
| Jirm251 vs Clive | 6–9 | 40.00% |
| Jirm251 vs Law | 3–11 | 21.43% |
| Jirm251 vs Bryan | 2–11 | 15.38% |
| Jirm251 vs Kazuya | 8–5 | 61.54% |
| Jirm251 vs Asuka | 5–7 | 41.67% |
| Jirm251 vs Jun | 2–10 | 16.67% |
| Jirm251 vs Lars | 0–10 | 0.00% |
| Jirm251 vs Lili | 6–3 | 66.67% |
| Jirm251 vs Heihachi | 5–2 | 71.43% |
| Jirm251 vs Yoshimitsu | 3–3 | 50.00% |
| Jirm251 vs Eddy | 1–5 | 16.67% |
| Jirm251 vs Xiaoyu | 3–2 | 60.00% |
| Jirm251 vs Leo | 2–3 | 40.00% |
| Jirm251 vs Nina | 1–4 | 20.00% |
| Jirm251 vs Lee | 4–1 | 80.00% |
| Jirm251 vs Fahkumram | 1–4 | 20.00% |
| Jirm251 vs Devil Jin | 3–1 | 75.00% |
| Jirm251 vs Dragunov | 1–3 | 25.00% |
| Jirm251 vs Claudio | 2–2 | 50.00% |
| Jirm251 vs Kuma | 2–2 | 50.00% |
| Jirm251 vs Leroy | 2–2 | 50.00% |
| Jirm251 vs Anna | 0–4 | 0.00% |
| Jirm251 vs Jack-8 | 1–2 | 33.33% |
| Jirm251 vs Alisa | 2–1 | 66.67% |
| Jirm251 vs Panda | 2–0 | 100.00% |
| Jirm251 vs Zafina | 1–1 | 50.00% |
| Jirm251 vs Raven | 2–0 | 100.00% |
| Jirm251 vs Lidia | 0–2 | 0.00% |
| Jirm251 vs Paul | 0–1 | 0.00% |
| Jirm251 vs Armor King | 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.