| Jinord32 vs King | 37–19 | 66.07% |
| Jinord32 vs Kazuya | 22–11 | 66.67% |
| Jinord32 vs Jin | 14–14 | 50.00% |
| Jinord32 vs Azucena | 16–10 | 61.54% |
| Jinord32 vs Hwoarang | 18–7 | 72.00% |
| Jinord32 vs Steve | 17–6 | 73.91% |
| Jinord32 vs Law | 16–6 | 72.73% |
| Jinord32 vs Reina | 12–9 | 57.14% |
| Jinord32 vs Lee | 15–4 | 78.95% |
| Jinord32 vs Jun | 14–4 | 77.78% |
| Jinord32 vs Lili | 7–10 | 41.18% |
| Jinord32 vs Lars | 10–6 | 62.50% |
| Jinord32 vs Bryan | 6–9 | 40.00% |
| Jinord32 vs Yoshimitsu | 8–6 | 57.14% |
| Jinord32 vs Asuka | 10–4 | 71.43% |
| Jinord32 vs Dragunov | 10–4 | 71.43% |
| Jinord32 vs Xiaoyu | 7–5 | 58.33% |
| Jinord32 vs Heihachi | 7–4 | 63.64% |
| Jinord32 vs Feng | 4–5 | 44.44% |
| Jinord32 vs Victor | 5–4 | 55.56% |
| Jinord32 vs Alisa | 4–4 | 50.00% |
| Jinord32 vs Nina | 4–4 | 50.00% |
| Jinord32 vs Eddy | 5–3 | 62.50% |
| Jinord32 vs Paul | 4–3 | 57.14% |
| Jinord32 vs Lidia | 4–3 | 57.14% |
| Jinord32 vs Claudio | 4–1 | 80.00% |
| Jinord32 vs Leroy | 4–1 | 80.00% |
| Jinord32 vs Kuma | 1–3 | 25.00% |
| Jinord32 vs Panda | 1–3 | 25.00% |
| Jinord32 vs Zafina | 2–2 | 50.00% |
| Jinord32 vs Shaheen | 1–2 | 33.33% |
| Jinord32 vs Raven | 2–0 | 100.00% |
| Jinord32 vs Clive | 2–0 | 100.00% |
| Jinord32 vs Fahkumram | 2–0 | 100.00% |
| Jinord32 vs Devil Jin | 1–0 | 100.00% |
| Jinord32 vs Leo | 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.