| jirr vs Jin | 34–34 | 50.00% |
| jirr vs Kazuya | 35–26 | 57.38% |
| jirr vs Lidia | 36–22 | 62.07% |
| jirr vs Bryan | 25–14 | 64.10% |
| jirr vs Steve | 18–19 | 48.65% |
| jirr vs Hwoarang | 18–17 | 51.43% |
| jirr vs King | 17–13 | 56.67% |
| jirr vs Reina | 14–14 | 50.00% |
| jirr vs Yoshimitsu | 10–17 | 37.04% |
| jirr vs Paul | 15–11 | 57.69% |
| jirr vs Jun | 15–11 | 57.69% |
| jirr vs Law | 9–16 | 36.00% |
| jirr vs Lili | 12–11 | 52.17% |
| jirr vs Clive | 8–15 | 34.78% |
| jirr vs Lars | 13–8 | 61.90% |
| jirr vs Devil Jin | 13–7 | 65.00% |
| jirr vs Claudio | 9–11 | 45.00% |
| jirr vs Dragunov | 9–10 | 47.37% |
| jirr vs Eddy | 16–3 | 84.21% |
| jirr vs Azucena | 7–10 | 41.18% |
| jirr vs Nina | 6–10 | 37.50% |
| jirr vs Victor | 9–7 | 56.25% |
| jirr vs Anna | 10–5 | 66.67% |
| jirr vs Armor King | 10–5 | 66.67% |
| jirr vs Leo | 6–7 | 46.15% |
| jirr vs Lee | 7–6 | 53.85% |
| jirr vs Asuka | 5–7 | 41.67% |
| jirr vs Alisa | 6–6 | 50.00% |
| jirr vs Xiaoyu | 6–4 | 60.00% |
| jirr vs Heihachi | 4–5 | 44.44% |
| jirr vs Feng | 8–0 | 100.00% |
| jirr vs Leroy | 3–3 | 50.00% |
| jirr vs Fahkumram | 5–1 | 83.33% |
| jirr vs Kuma | 3–2 | 60.00% |
| jirr vs Zafina | 2–1 | 66.67% |
| jirr vs Shaheen | 0–2 | 0.00% |
| jirr vs Jack-8 | 1–0 | 100.00% |
| jirr vs Panda | 0–1 | 0.00% |
| jirr vs Raven | 0–1 | 0.00% |
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.