| Dajinn vs Kazuya | 337–266 | 55.89% |
| Dajinn vs Bryan | 209–263 | 44.28% |
| Dajinn vs Jin | 252–216 | 53.85% |
| Dajinn vs King | 217–211 | 50.70% |
| Dajinn vs Reina | 196–181 | 51.99% |
| Dajinn vs Dragunov | 141–201 | 41.23% |
| Dajinn vs Law | 161–160 | 50.16% |
| Dajinn vs Steve | 164–155 | 51.41% |
| Dajinn vs Clive | 130–174 | 42.76% |
| Dajinn vs Hwoarang | 166–133 | 55.52% |
| Dajinn vs Heihachi | 132–157 | 45.67% |
| Dajinn vs Lee | 94–166 | 36.15% |
| Dajinn vs Lidia | 138–119–1 | 53.70% |
| Dajinn vs Azucena | 107–128 | 45.53% |
| Dajinn vs Eddy | 136–98 | 58.12% |
| Dajinn vs Jun | 108–121 | 47.16% |
| Dajinn vs Lili | 106–112 | 48.62% |
| Dajinn vs Lars | 99–115 | 46.26% |
| Dajinn vs Paul | 91–112 | 44.83% |
| Dajinn vs Yoshimitsu | 89–107 | 45.41% |
| Dajinn vs Asuka | 92–96 | 48.94% |
| Dajinn vs Victor | 94–81 | 53.71% |
| Dajinn vs Devil Jin | 83–88 | 48.54% |
| Dajinn vs Raven | 84–79 | 51.53% |
| Dajinn vs Nina | 70–88 | 44.30% |
| Dajinn vs Xiaoyu | 67–83 | 44.67% |
| Dajinn vs Feng | 86–59 | 59.31% |
| Dajinn vs Fahkumram | 54–84 | 39.13% |
| Dajinn vs Leo | 60–74 | 44.78% |
| Dajinn vs Leroy | 66–66 | 50.00% |
| Dajinn vs Jack-8 | 60–61 | 49.59% |
| Dajinn vs Claudio | 52–63 | 45.22% |
| Dajinn vs Alisa | 42–70 | 37.50% |
| Dajinn vs Kuma | 32–47 | 40.51% |
| Dajinn vs Shaheen | 40–35 | 53.33% |
| Dajinn vs Zafina | 25–30 | 45.45% |
| Dajinn vs Panda | 14–27 | 34.15% |
| Dajinn vs Anna | 20–16 | 55.56% |
| Dajinn vs Armor King | 6–6 | 50.00% |
| Dajinn vs Miary Zo | 5–6 | 45.45% |
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.