| BigPiff2X vs King | 24–18 | 57.14% |
| BigPiff2X vs Jin | 23–19 | 54.76% |
| BigPiff2X vs Heihachi | 15–17 | 46.88% |
| BigPiff2X vs Lidia | 16–15 | 51.61% |
| BigPiff2X vs Steve | 18–12 | 60.00% |
| BigPiff2X vs Reina | 16–14 | 53.33% |
| BigPiff2X vs Hwoarang | 14–14 | 50.00% |
| BigPiff2X vs Kazuya | 18–9–1 | 66.67% |
| BigPiff2X vs Eddy | 17–9 | 65.38% |
| BigPiff2X vs Dragunov | 10–15 | 40.00% |
| BigPiff2X vs Lili | 14–10 | 58.33% |
| BigPiff2X vs Paul | 13–9 | 59.09% |
| BigPiff2X vs Law | 6–15 | 28.57% |
| BigPiff2X vs Bryan | 14–7 | 66.67% |
| BigPiff2X vs Clive | 12–9 | 57.14% |
| BigPiff2X vs Jun | 10–9 | 52.63% |
| BigPiff2X vs Azucena | 11–8 | 57.89% |
| BigPiff2X vs Lars | 10–7 | 58.82% |
| BigPiff2X vs Yoshimitsu | 9–7 | 56.25% |
| BigPiff2X vs Asuka | 4–12 | 25.00% |
| BigPiff2X vs Feng | 10–4 | 71.43% |
| BigPiff2X vs Nina | 8–5 | 61.54% |
| BigPiff2X vs Leo | 9–3 | 75.00% |
| BigPiff2X vs Xiaoyu | 7–4 | 63.64% |
| BigPiff2X vs Shaheen | 6–5 | 54.55% |
| BigPiff2X vs Lee | 7–4 | 63.64% |
| BigPiff2X vs Leroy | 6–5 | 54.55% |
| BigPiff2X vs Victor | 6–5 | 54.55% |
| BigPiff2X vs Jack-8 | 6–2 | 75.00% |
| BigPiff2X vs Kuma | 5–1 | 83.33% |
| BigPiff2X vs Devil Jin | 1–4 | 20.00% |
| BigPiff2X vs Alisa | 4–1 | 80.00% |
| BigPiff2X vs Claudio | 4–1 | 80.00% |
| BigPiff2X vs Panda | 0–2 | 0.00% |
| BigPiff2X vs Raven | 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.