| D1sc0P4P4 vs Reina | 33–29 | 53.23% |
| D1sc0P4P4 vs Jin | 19–41 | 31.67% |
| D1sc0P4P4 vs Law | 26–31 | 45.61% |
| D1sc0P4P4 vs Kazuya | 19–32 | 37.25% |
| D1sc0P4P4 vs Steve | 11–32 | 25.58% |
| D1sc0P4P4 vs King | 17–22 | 43.59% |
| D1sc0P4P4 vs Yoshimitsu | 19–20 | 48.72% |
| D1sc0P4P4 vs Hwoarang | 22–16 | 57.89% |
| D1sc0P4P4 vs Dragunov | 12–26 | 31.58% |
| D1sc0P4P4 vs Clive | 15–20 | 42.86% |
| D1sc0P4P4 vs Bryan | 13–18 | 41.94% |
| D1sc0P4P4 vs Heihachi | 8–18 | 30.77% |
| D1sc0P4P4 vs Victor | 16–9 | 64.00% |
| D1sc0P4P4 vs Asuka | 11–13 | 45.83% |
| D1sc0P4P4 vs Jun | 7–17 | 29.17% |
| D1sc0P4P4 vs Lili | 9–11 | 45.00% |
| D1sc0P4P4 vs Paul | 11–8 | 57.89% |
| D1sc0P4P4 vs Eddy | 7–12 | 36.84% |
| D1sc0P4P4 vs Alisa | 9–8 | 52.94% |
| D1sc0P4P4 vs Azucena | 11–6 | 64.71% |
| D1sc0P4P4 vs Xiaoyu | 6–9 | 40.00% |
| D1sc0P4P4 vs Lidia | 9–6 | 60.00% |
| D1sc0P4P4 vs Devil Jin | 2–11 | 15.38% |
| D1sc0P4P4 vs Lars | 6–7 | 46.15% |
| D1sc0P4P4 vs Feng | 5–6 | 45.45% |
| D1sc0P4P4 vs Jack-8 | 3–7 | 30.00% |
| D1sc0P4P4 vs Nina | 4–6 | 40.00% |
| D1sc0P4P4 vs Leroy | 5–3 | 62.50% |
| D1sc0P4P4 vs Leo | 7–0 | 100.00% |
| D1sc0P4P4 vs Lee | 3–3 | 50.00% |
| D1sc0P4P4 vs Claudio | 0–5 | 0.00% |
| D1sc0P4P4 vs Kuma | 0–2 | 0.00% |
| D1sc0P4P4 vs Panda | 0–2 | 0.00% |
| D1sc0P4P4 vs Zafina | 0–2 | 0.00% |
| D1sc0P4P4 vs Raven | 1–0 | 100.00% |
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.