| DIJIN vs Dragunov | 116–64 | 64.44% |
| DIJIN vs King | 111–47 | 70.25% |
| DIJIN vs Kazuya | 115–36 | 76.16% |
| DIJIN vs Bryan | 108–38 | 73.97% |
| DIJIN vs Jin | 73–53 | 57.94% |
| DIJIN vs Heihachi | 67–55 | 54.92% |
| DIJIN vs Paul | 80–31 | 72.07% |
| DIJIN vs Yoshimitsu | 71–27 | 72.45% |
| DIJIN vs Hwoarang | 59–27 | 68.60% |
| DIJIN vs Clive | 49–30 | 62.03% |
| DIJIN vs Nina | 53–23 | 69.74% |
| DIJIN vs Reina | 44–24 | 64.71% |
| DIJIN vs Law | 51–16 | 76.12% |
| DIJIN vs Steve | 38–21 | 64.41% |
| DIJIN vs Claudio | 36–18 | 66.67% |
| DIJIN vs Jun | 33–20 | 62.26% |
| DIJIN vs Victor | 35–18 | 66.04% |
| DIJIN vs Jack-8 | 34–18 | 65.38% |
| DIJIN vs Feng | 30–20 | 60.00% |
| DIJIN vs Alisa | 35–14 | 71.43% |
| DIJIN vs Leo | 34–8 | 80.95% |
| DIJIN vs Azucena | 26–16 | 61.90% |
| DIJIN vs Devil Jin | 20–15 | 57.14% |
| DIJIN vs Eddy | 20–15 | 57.14% |
| DIJIN vs Lili | 20–9 | 68.97% |
| DIJIN vs Lars | 21–8 | 72.41% |
| DIJIN vs Kuma | 11–18 | 37.93% |
| DIJIN vs Shaheen | 14–12 | 53.85% |
| DIJIN vs Lidia | 17–9 | 65.38% |
| DIJIN vs Lee | 13–10 | 56.52% |
| DIJIN vs Asuka | 20–2 | 90.91% |
| DIJIN vs Zafina | 12–9 | 57.14% |
| DIJIN vs Leroy | 15–6 | 71.43% |
| DIJIN vs Xiaoyu | 16–4 | 80.00% |
| DIJIN vs Raven | 9–9 | 50.00% |
| DIJIN vs Fahkumram | 7–3 | 70.00% |
| DIJIN vs Panda | 6–3 | 66.67% |
| DIJIN vs Anna | 4–5 | 44.44% |
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.