| DrCrayonEater vs Jin | 27–31 | 46.55% |
| DrCrayonEater vs Kazuya | 22–25 | 46.81% |
| DrCrayonEater vs King | 25–19 | 56.82% |
| DrCrayonEater vs Clive | 32–12 | 72.73% |
| DrCrayonEater vs Reina | 16–20 | 44.44% |
| DrCrayonEater vs Hwoarang | 16–16 | 50.00% |
| DrCrayonEater vs Bryan | 15–17 | 46.88% |
| DrCrayonEater vs Dragunov | 13–19 | 40.62% |
| DrCrayonEater vs Jun | 14–15 | 48.28% |
| DrCrayonEater vs Steve | 14–14 | 50.00% |
| DrCrayonEater vs Yoshimitsu | 12–15 | 44.44% |
| DrCrayonEater vs Paul | 13–13 | 50.00% |
| DrCrayonEater vs Lee | 11–15 | 42.31% |
| DrCrayonEater vs Law | 13–11 | 54.17% |
| DrCrayonEater vs Leo | 7–17 | 29.17% |
| DrCrayonEater vs Nina | 11–13 | 45.83% |
| DrCrayonEater vs Raven | 8–16 | 33.33% |
| DrCrayonEater vs Devil Jin | 8–14 | 36.36% |
| DrCrayonEater vs Feng | 11–11 | 50.00% |
| DrCrayonEater vs Lili | 15–6 | 71.43% |
| DrCrayonEater vs Lars | 13–7 | 65.00% |
| DrCrayonEater vs Asuka | 13–6 | 68.42% |
| DrCrayonEater vs Eddy | 4–14 | 22.22% |
| DrCrayonEater vs Heihachi | 10–8 | 55.56% |
| DrCrayonEater vs Azucena | 7–10 | 41.18% |
| DrCrayonEater vs Victor | 10–6 | 62.50% |
| DrCrayonEater vs Xiaoyu | 4–8 | 33.33% |
| DrCrayonEater vs Alisa | 7–5 | 58.33% |
| DrCrayonEater vs Lidia | 10–2 | 83.33% |
| DrCrayonEater vs Shaheen | 7–4 | 63.64% |
| DrCrayonEater vs Zafina | 6–4 | 60.00% |
| DrCrayonEater vs Kuma | 5–4 | 55.56% |
| DrCrayonEater vs Leroy | 4–4 | 50.00% |
| DrCrayonEater vs Claudio | 4–1 | 80.00% |
| DrCrayonEater vs Jack-8 | 0–3 | 0.00% |
| DrCrayonEater vs Panda | 0–2 | 0.00% |
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.