| PerdiDunlop vs Jin | 37–36 | 50.68% |
| PerdiDunlop vs Steve | 29–21 | 58.00% |
| PerdiDunlop vs Kazuya | 18–20 | 47.37% |
| PerdiDunlop vs Bryan | 14–16 | 46.67% |
| PerdiDunlop vs Dragunov | 16–13 | 55.17% |
| PerdiDunlop vs Heihachi | 14–14 | 50.00% |
| PerdiDunlop vs Xiaoyu | 12–13 | 48.00% |
| PerdiDunlop vs Reina | 13–10 | 56.52% |
| PerdiDunlop vs King | 11–8 | 57.89% |
| PerdiDunlop vs Yoshimitsu | 12–5 | 70.59% |
| PerdiDunlop vs Devil Jin | 7–9 | 43.75% |
| PerdiDunlop vs Armor King | 11–5 | 68.75% |
| PerdiDunlop vs Law | 8–7 | 53.33% |
| PerdiDunlop vs Victor | 6–9 | 40.00% |
| PerdiDunlop vs Lee | 4–10 | 28.57% |
| PerdiDunlop vs Alisa | 5–8 | 38.46% |
| PerdiDunlop vs Fahkumram | 3–10 | 23.08% |
| PerdiDunlop vs Paul | 4–7 | 36.36% |
| PerdiDunlop vs Lili | 5–6 | 45.45% |
| PerdiDunlop vs Claudio | 4–7 | 36.36% |
| PerdiDunlop vs Eddy | 3–8 | 27.27% |
| PerdiDunlop vs Miary Zo | 6–5 | 54.55% |
| PerdiDunlop vs Leo | 4–6 | 40.00% |
| PerdiDunlop vs Anna | 5–5 | 50.00% |
| PerdiDunlop vs Asuka | 4–5 | 44.44% |
| PerdiDunlop vs Lidia | 1–8 | 11.11% |
| PerdiDunlop vs Clive | 7–1 | 87.50% |
| PerdiDunlop vs Shaheen | 4–3 | 57.14% |
| PerdiDunlop vs Raven | 3–3 | 50.00% |
| PerdiDunlop vs Hwoarang | 1–4 | 20.00% |
| PerdiDunlop vs Feng | 0–4 | 0.00% |
| PerdiDunlop vs Lars | 2–2 | 50.00% |
| PerdiDunlop vs Zafina | 2–1 | 66.67% |
| PerdiDunlop vs Jack-8 | 2–0 | 100.00% |
| PerdiDunlop vs Nina | 2–0 | 100.00% |
| PerdiDunlop vs Jun | 2–0 | 100.00% |
| PerdiDunlop vs Azucena | 1–1 | 50.00% |
| PerdiDunlop vs Kuma | 0–1 | 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.