| DeeJay vs Hwoarang | 320–357 | 47.27% |
| DeeJay vs Jin | 288–296 | 49.32% |
| DeeJay vs King | 294–259 | 53.16% |
| DeeJay vs Bryan | 238–255 | 48.28% |
| DeeJay vs Kazuya | 257–229 | 52.88% |
| DeeJay vs Paul | 238–209 | 53.24% |
| DeeJay vs Yoshimitsu | 214–215–1 | 49.88% |
| DeeJay vs Lars | 188–215 | 46.65% |
| DeeJay vs Anna | 221–157 | 58.47% |
| DeeJay vs Steve | 167–189 | 46.91% |
| DeeJay vs Law | 209–145 | 59.04% |
| DeeJay vs Heihachi | 162–191 | 45.89% |
| DeeJay vs Lili | 173–130 | 57.10% |
| DeeJay vs Dragunov | 156–135 | 53.61% |
| DeeJay vs Reina | 122–162 | 42.96% |
| DeeJay vs Devil Jin | 123–153 | 44.57% |
| DeeJay vs Fahkumram | 134–127 | 51.34% |
| DeeJay vs Feng | 111–122 | 47.64% |
| DeeJay vs Lee | 112–114 | 49.56% |
| DeeJay vs Jun | 123–103 | 54.42% |
| DeeJay vs Xiaoyu | 127–83 | 60.48% |
| DeeJay vs Alisa | 109–100 | 52.15% |
| DeeJay vs Nina | 112–90 | 55.45% |
| DeeJay vs Jack-8 | 101–96 | 51.27% |
| DeeJay vs Asuka | 101–96 | 51.27% |
| DeeJay vs Lidia | 103–94 | 52.28% |
| DeeJay vs Raven | 91–102 | 47.15% |
| DeeJay vs Leo | 75–100 | 42.86% |
| DeeJay vs Zafina | 82–91 | 47.40% |
| DeeJay vs Eddy | 84–80 | 51.22% |
| DeeJay vs Armor King | 84–78 | 51.85% |
| DeeJay vs Azucena | 82–74 | 52.56% |
| DeeJay vs Claudio | 60–84 | 41.67% |
| DeeJay vs Leroy | 63–76 | 45.32% |
| DeeJay vs Victor | 51–74 | 40.80% |
| DeeJay vs Clive | 51–73 | 41.13% |
| DeeJay vs Kuma | 40–55 | 42.11% |
| DeeJay vs Shaheen | 33–56 | 37.08% |
| DeeJay vs Miary Zo | 31–51 | 37.80% |
| DeeJay vs Panda | 25–25 | 50.00% |
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.