| BigFloppa vs Kazuya | 53–58 | 47.75% |
| BigFloppa vs Steve | 46–47 | 49.46% |
| BigFloppa vs Bryan | 45–37 | 54.88% |
| BigFloppa vs Reina | 34–48 | 41.46% |
| BigFloppa vs Heihachi | 37–40 | 48.05% |
| BigFloppa vs King | 31–38 | 44.93% |
| BigFloppa vs Jin | 34–35 | 49.28% |
| BigFloppa vs Clive | 38–28 | 57.58% |
| BigFloppa vs Lee | 23–38 | 37.70% |
| BigFloppa vs Law | 34–24 | 58.62% |
| BigFloppa vs Dragunov | 36–20 | 64.29% |
| BigFloppa vs Jun | 39–16 | 70.91% |
| BigFloppa vs Asuka | 33–14 | 70.21% |
| BigFloppa vs Hwoarang | 17–29 | 36.96% |
| BigFloppa vs Yoshimitsu | 24–17 | 58.54% |
| BigFloppa vs Fahkumram | 17–21 | 44.74% |
| BigFloppa vs Raven | 25–12 | 67.57% |
| BigFloppa vs Paul | 15–21 | 41.67% |
| BigFloppa vs Azucena | 22–14 | 61.11% |
| BigFloppa vs Victor | 28–8 | 77.78% |
| BigFloppa vs Nina | 21–14 | 60.00% |
| BigFloppa vs Devil Jin | 15–19 | 44.12% |
| BigFloppa vs Xiaoyu | 14–17 | 45.16% |
| BigFloppa vs Lili | 17–13 | 56.67% |
| BigFloppa vs Lidia | 18–12 | 60.00% |
| BigFloppa vs Eddy | 17–9 | 65.38% |
| BigFloppa vs Lars | 13–10 | 56.52% |
| BigFloppa vs Alisa | 14–9 | 60.87% |
| BigFloppa vs Armor King | 7–16 | 30.43% |
| BigFloppa vs Feng | 11–11 | 50.00% |
| BigFloppa vs Leo | 13–8 | 61.90% |
| BigFloppa vs Leroy | 10–10 | 50.00% |
| BigFloppa vs Jack-8 | 8–11 | 42.11% |
| BigFloppa vs Claudio | 7–9 | 43.75% |
| BigFloppa vs Kuma | 7–6 | 53.85% |
| BigFloppa vs Panda | 3–6 | 33.33% |
| BigFloppa vs Zafina | 4–5 | 44.44% |
| BigFloppa vs Shaheen | 6–1 | 85.71% |
| BigFloppa vs Anna | 4–3 | 57.14% |
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.