| PumaFLEX vs Heihachi | 42–12 | 77.78% |
| PumaFLEX vs King | 41–10 | 80.39% |
| PumaFLEX vs Jin | 40–7 | 85.11% |
| PumaFLEX vs Hwoarang | 39–6 | 86.67% |
| PumaFLEX vs Reina | 33–8 | 80.49% |
| PumaFLEX vs Lili | 30–7 | 81.08% |
| PumaFLEX vs Victor | 31–6 | 83.78% |
| PumaFLEX vs Kazuya | 29–7 | 80.56% |
| PumaFLEX vs Steve | 30–5 | 85.71% |
| PumaFLEX vs Law | 28–3 | 90.32% |
| PumaFLEX vs Bryan | 26–4 | 86.67% |
| PumaFLEX vs Dragunov | 21–7 | 75.00% |
| PumaFLEX vs Eddy | 22–6 | 78.57% |
| PumaFLEX vs Asuka | 21–5 | 80.77% |
| PumaFLEX vs Jun | 17–6 | 73.91% |
| PumaFLEX vs Azucena | 17–4 | 80.95% |
| PumaFLEX vs Yoshimitsu | 17–2 | 89.47% |
| PumaFLEX vs Devil Jin | 13–3 | 81.25% |
| PumaFLEX vs Xiaoyu | 14–1 | 93.33% |
| PumaFLEX vs Lars | 9–5 | 64.29% |
| PumaFLEX vs Paul | 11–1 | 91.67% |
| PumaFLEX vs Feng | 11–1 | 91.67% |
| PumaFLEX vs Shaheen | 9–3 | 75.00% |
| PumaFLEX vs Lee | 11–1 | 91.67% |
| PumaFLEX vs Leroy | 10–2 | 83.33% |
| PumaFLEX vs Nina | 9–2 | 81.82% |
| PumaFLEX vs Raven | 8–2 | 80.00% |
| PumaFLEX vs Claudio | 7–0 | 100.00% |
| PumaFLEX vs Lidia | 5–2 | 71.43% |
| PumaFLEX vs Anna | 6–1 | 85.71% |
| PumaFLEX vs Jack-8 | 4–1 | 80.00% |
| PumaFLEX vs Leo | 5–0 | 100.00% |
| PumaFLEX vs Clive | 5–0 | 100.00% |
| PumaFLEX vs Alisa | 4–0 | 100.00% |
| PumaFLEX vs Panda | 3–0 | 100.00% |
| PumaFLEX vs Kuma | 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.