| PaiVei vs Eddy | 23–12 | 65.71% |
| PaiVei vs Jin | 11–20 | 35.48% |
| PaiVei vs King | 15–15 | 50.00% |
| PaiVei vs Hwoarang | 15–7 | 68.18% |
| PaiVei vs Steve | 13–6 | 68.42% |
| PaiVei vs Asuka | 11–8 | 57.89% |
| PaiVei vs Kazuya | 10–8 | 55.56% |
| PaiVei vs Dragunov | 12–6 | 66.67% |
| PaiVei vs Law | 10–7 | 58.82% |
| PaiVei vs Miary Zo | 6–10 | 37.50% |
| PaiVei vs Lili | 11–3 | 78.57% |
| PaiVei vs Heihachi | 5–9 | 35.71% |
| PaiVei vs Lidia | 12–1 | 92.31% |
| PaiVei vs Bryan | 5–7 | 41.67% |
| PaiVei vs Victor | 4–8 | 33.33% |
| PaiVei vs Lee | 6–5 | 54.55% |
| PaiVei vs Jun | 1–10 | 9.09% |
| PaiVei vs Reina | 7–4 | 63.64% |
| PaiVei vs Armor King | 4–5 | 44.44% |
| PaiVei vs Paul | 3–5 | 37.50% |
| PaiVei vs Leroy | 6–2 | 75.00% |
| PaiVei vs Clive | 5–3 | 62.50% |
| PaiVei vs Fahkumram | 3–5 | 37.50% |
| PaiVei vs Raven | 5–2 | 71.43% |
| PaiVei vs Anna | 1–6 | 14.29% |
| PaiVei vs Yoshimitsu | 6–0 | 100.00% |
| PaiVei vs Lars | 4–2 | 66.67% |
| PaiVei vs Zafina | 3–3 | 50.00% |
| PaiVei vs Xiaoyu | 0–4 | 0.00% |
| PaiVei vs Jack-8 | 3–1 | 75.00% |
| PaiVei vs Feng | 2–2 | 50.00% |
| PaiVei vs Azucena | 4–0 | 100.00% |
| PaiVei vs Devil Jin | 3–0 | 100.00% |
| PaiVei vs Nina | 0–2–1 | 0.00% |
| PaiVei vs Leo | 0–2 | 0.00% |
| PaiVei vs Alisa | 1–1 | 50.00% |
| PaiVei vs Kuma | 2–0 | 100.00% |
| PaiVei vs Shaheen | 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.