| PFT-YingNAN vs Reina | 16–10 | 61.54% |
| PFT-YingNAN vs Law | 16–6 | 72.73% |
| PFT-YingNAN vs King | 14–8 | 63.64% |
| PFT-YingNAN vs Kazuya | 11–10 | 52.38% |
| PFT-YingNAN vs Victor | 12–8 | 60.00% |
| PFT-YingNAN vs Dragunov | 11–7 | 61.11% |
| PFT-YingNAN vs Jin | 10–5 | 66.67% |
| PFT-YingNAN vs Paul | 7–5 | 58.33% |
| PFT-YingNAN vs Hwoarang | 6–6 | 50.00% |
| PFT-YingNAN vs Asuka | 7–5 | 58.33% |
| PFT-YingNAN vs Lili | 9–3 | 75.00% |
| PFT-YingNAN vs Eddy | 4–6 | 40.00% |
| PFT-YingNAN vs Azucena | 6–3 | 66.67% |
| PFT-YingNAN vs Yoshimitsu | 3–5 | 37.50% |
| PFT-YingNAN vs Devil Jin | 6–1 | 85.71% |
| PFT-YingNAN vs Heihachi | 5–2 | 71.43% |
| PFT-YingNAN vs Jack-8 | 2–4 | 33.33% |
| PFT-YingNAN vs Xiaoyu | 3–2 | 60.00% |
| PFT-YingNAN vs Bryan | 4–1 | 80.00% |
| PFT-YingNAN vs Lars | 3–2 | 60.00% |
| PFT-YingNAN vs Leroy | 2–3 | 40.00% |
| PFT-YingNAN vs Steve | 0–4 | 0.00% |
| PFT-YingNAN vs Alisa | 2–2 | 50.00% |
| PFT-YingNAN vs Claudio | 1–3 | 25.00% |
| PFT-YingNAN vs Jun | 2–2 | 50.00% |
| PFT-YingNAN vs Leo | 3–0 | 100.00% |
| PFT-YingNAN vs Nina | 2–1 | 66.67% |
| PFT-YingNAN vs Zafina | 1–2 | 33.33% |
| PFT-YingNAN vs Shaheen | 1–1 | 50.00% |
| PFT-YingNAN vs Lee | 2–0 | 100.00% |
| PFT-YingNAN vs Kuma | 0–2 | 0.00% |
| PFT-YingNAN vs Lidia | 2–0 | 100.00% |
| PFT-YingNAN vs Feng | 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.