| JIN KAZAMA vs Jin | 86–108 | 44.33% |
| JIN KAZAMA vs Hwoarang | 51–115 | 30.72% |
| JIN KAZAMA vs Kazuya | 46–53 | 46.46% |
| JIN KAZAMA vs King | 42–23 | 64.62% |
| JIN KAZAMA vs Steve | 42–20 | 67.74% |
| JIN KAZAMA vs Yoshimitsu | 29–26 | 52.73% |
| JIN KAZAMA vs Reina | 36–19 | 65.45% |
| JIN KAZAMA vs Lili | 40–11 | 78.43% |
| JIN KAZAMA vs Bryan | 28–22 | 56.00% |
| JIN KAZAMA vs Paul | 20–18 | 52.63% |
| JIN KAZAMA vs Alisa | 31–7 | 81.58% |
| JIN KAZAMA vs Dragunov | 17–19 | 47.22% |
| JIN KAZAMA vs Fahkumram | 21–15 | 58.33% |
| JIN KAZAMA vs Heihachi | 20–15 | 57.14% |
| JIN KAZAMA vs Law | 23–11 | 67.65% |
| JIN KAZAMA vs Jun | 15–18 | 45.45% |
| JIN KAZAMA vs Lars | 20–10 | 66.67% |
| JIN KAZAMA vs Devil Jin | 18–10 | 64.29% |
| JIN KAZAMA vs Feng | 11–13 | 45.83% |
| JIN KAZAMA vs Raven | 13–11 | 54.17% |
| JIN KAZAMA vs Lee | 12–11 | 52.17% |
| JIN KAZAMA vs Jack-8 | 13–9 | 59.09% |
| JIN KAZAMA vs Leroy | 10–10 | 50.00% |
| JIN KAZAMA vs Azucena | 9–11 | 45.00% |
| JIN KAZAMA vs Eddy | 15–4 | 78.95% |
| JIN KAZAMA vs Claudio | 11–6 | 64.71% |
| JIN KAZAMA vs Nina | 10–7 | 58.82% |
| JIN KAZAMA vs Anna | 7–10 | 41.18% |
| JIN KAZAMA vs Xiaoyu | 8–8 | 50.00% |
| JIN KAZAMA vs Asuka | 8–7 | 53.33% |
| JIN KAZAMA vs Clive | 6–9 | 40.00% |
| JIN KAZAMA vs Leo | 7–6 | 53.85% |
| JIN KAZAMA vs Armor King | 10–2 | 83.33% |
| JIN KAZAMA vs Lidia | 7–4 | 63.64% |
| JIN KAZAMA vs Miary Zo | 7–1 | 87.50% |
| JIN KAZAMA vs Kuma | 4–3 | 57.14% |
| JIN KAZAMA vs Zafina | 3–2 | 60.00% |
| JIN KAZAMA vs Victor | 0–5 | 0.00% |
| JIN KAZAMA vs Panda | 3–1 | 75.00% |
| JIN KAZAMA vs Shaheen | 0–2 | 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.