| deejayplays vs Kazuya | 44–50 | 46.81% |
| deejayplays vs King | 31–49 | 38.75% |
| deejayplays vs Reina | 43–34 | 55.84% |
| deejayplays vs Heihachi | 30–38 | 44.12% |
| deejayplays vs Law | 37–29 | 56.06% |
| deejayplays vs Hwoarang | 36–30 | 54.55% |
| deejayplays vs Jin | 26–40 | 39.39% |
| deejayplays vs Lili | 30–31 | 49.18% |
| deejayplays vs Steve | 29–31 | 48.33% |
| deejayplays vs Dragunov | 31–27 | 53.45% |
| deejayplays vs Bryan | 39–18 | 68.42% |
| deejayplays vs Azucena | 31–25 | 55.36% |
| deejayplays vs Xiaoyu | 22–32 | 40.74% |
| deejayplays vs Lars | 22–21 | 51.16% |
| deejayplays vs Lidia | 30–13 | 69.77% |
| deejayplays vs Nina | 17–23 | 42.50% |
| deejayplays vs Lee | 19–21 | 47.50% |
| deejayplays vs Yoshimitsu | 20–18 | 52.63% |
| deejayplays vs Jun | 19–18 | 51.35% |
| deejayplays vs Victor | 18–16 | 52.94% |
| deejayplays vs Paul | 14–19 | 42.42% |
| deejayplays vs Feng | 15–14 | 51.72% |
| deejayplays vs Shaheen | 22–6 | 78.57% |
| deejayplays vs Eddy | 11–15 | 42.31% |
| deejayplays vs Asuka | 9–14 | 39.13% |
| deejayplays vs Kuma | 16–7 | 69.57% |
| deejayplays vs Leroy | 11–11 | 50.00% |
| deejayplays vs Jack-8 | 12–9 | 57.14% |
| deejayplays vs Alisa | 9–11 | 45.00% |
| deejayplays vs Leo | 8–11 | 42.11% |
| deejayplays vs Devil Jin | 13–5 | 72.22% |
| deejayplays vs Claudio | 8–9 | 47.06% |
| deejayplays vs Zafina | 5–7 | 41.67% |
| deejayplays vs Raven | 4–6 | 40.00% |
| deejayplays vs Clive | 4–3 | 57.14% |
| deejayplays vs Panda | 3–2 | 60.00% |
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.