| PanuTao vs Jin | 35–36 | 49.30% |
| PanuTao vs Steve | 22–23 | 48.89% |
| PanuTao vs Bryan | 19–21 | 47.50% |
| PanuTao vs King | 17–21 | 44.74% |
| PanuTao vs Kazuya | 14–23 | 37.84% |
| PanuTao vs Heihachi | 13–17 | 43.33% |
| PanuTao vs Lili | 10–18 | 35.71% |
| PanuTao vs Reina | 13–10 | 56.52% |
| PanuTao vs Lars | 10–11 | 47.62% |
| PanuTao vs Yoshimitsu | 12–8 | 60.00% |
| PanuTao vs Miary Zo | 8–12 | 40.00% |
| PanuTao vs Asuka | 8–9 | 47.06% |
| PanuTao vs Armor King | 8–9 | 47.06% |
| PanuTao vs Dragunov | 7–9 | 43.75% |
| PanuTao vs Jun | 6–10 | 37.50% |
| PanuTao vs Clive | 6–9 | 40.00% |
| PanuTao vs Paul | 7–7 | 50.00% |
| PanuTao vs Law | 5–9 | 35.71% |
| PanuTao vs Hwoarang | 9–4 | 69.23% |
| PanuTao vs Xiaoyu | 1–12 | 7.69% |
| PanuTao vs Devil Jin | 5–7 | 41.67% |
| PanuTao vs Nina | 6–5 | 54.55% |
| PanuTao vs Lee | 4–5 | 44.44% |
| PanuTao vs Alisa | 4–4 | 50.00% |
| PanuTao vs Claudio | 3–5 | 37.50% |
| PanuTao vs Eddy | 4–4 | 50.00% |
| PanuTao vs Lidia | 0–8 | 0.00% |
| PanuTao vs Azucena | 4–3 | 57.14% |
| PanuTao vs Fahkumram | 1–6 | 14.29% |
| PanuTao vs Feng | 1–4 | 20.00% |
| PanuTao vs Victor | 0–5 | 0.00% |
| PanuTao vs Leo | 0–4 | 0.00% |
| PanuTao vs Leroy | 1–3 | 25.00% |
| PanuTao vs Anna | 0–4 | 0.00% |
| PanuTao vs Shaheen | 2–1 | 66.67% |
| PanuTao vs Jack-8 | 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.