| Dajeon_Jin vs Kazuya | 9–23 | 28.12% |
| Dajeon_Jin vs King | 16–13 | 55.17% |
| Dajeon_Jin vs Hwoarang | 10–18 | 35.71% |
| Dajeon_Jin vs Law | 13–13 | 50.00% |
| Dajeon_Jin vs Yoshimitsu | 14–8 | 63.64% |
| Dajeon_Jin vs Jin | 12–10 | 54.55% |
| Dajeon_Jin vs Paul | 8–13 | 38.10% |
| Dajeon_Jin vs Eddy | 11–10 | 52.38% |
| Dajeon_Jin vs Bryan | 7–9 | 43.75% |
| Dajeon_Jin vs Lili | 3–10 | 23.08% |
| Dajeon_Jin vs Lee | 4–6 | 40.00% |
| Dajeon_Jin vs Dragunov | 7–2 | 77.78% |
| Dajeon_Jin vs Alisa | 8–1 | 88.89% |
| Dajeon_Jin vs Steve | 6–2 | 75.00% |
| Dajeon_Jin vs Reina | 4–4 | 50.00% |
| Dajeon_Jin vs Heihachi | 3–5 | 37.50% |
| Dajeon_Jin vs Xiaoyu | 5–2 | 71.43% |
| Dajeon_Jin vs Kuma | 3–4 | 42.86% |
| Dajeon_Jin vs Victor | 0–7 | 0.00% |
| Dajeon_Jin vs Asuka | 3–3 | 50.00% |
| Dajeon_Jin vs Feng | 4–2 | 66.67% |
| Dajeon_Jin vs Jack-8 | 1–4 | 20.00% |
| Dajeon_Jin vs Devil Jin | 3–2 | 60.00% |
| Dajeon_Jin vs Leo | 3–2 | 60.00% |
| Dajeon_Jin vs Lars | 3–2 | 60.00% |
| Dajeon_Jin vs Jun | 5–0 | 100.00% |
| Dajeon_Jin vs Claudio | 2–2 | 50.00% |
| Dajeon_Jin vs Azucena | 2–2 | 50.00% |
| Dajeon_Jin vs Anna | 0–4 | 0.00% |
| Dajeon_Jin vs Fahkumram | 3–0 | 100.00% |
| Dajeon_Jin vs Shaheen | 0–2 | 0.00% |
| Dajeon_Jin vs Nina | 1–1 | 50.00% |
| Dajeon_Jin vs Clive | 2–0 | 100.00% |
| Dajeon_Jin vs Raven | 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.