| Bigby92 vs King | 22–28 | 44.00% |
| Bigby92 vs Steve | 33–12 | 73.33% |
| Bigby92 vs Kazuya | 22–17 | 56.41% |
| Bigby92 vs Clive | 21–16 | 56.76% |
| Bigby92 vs Jin | 16–20 | 44.44% |
| Bigby92 vs Law | 14–20 | 41.18% |
| Bigby92 vs Hwoarang | 16–18 | 47.06% |
| Bigby92 vs Lili | 20–12 | 62.50% |
| Bigby92 vs Bryan | 13–15 | 46.43% |
| Bigby92 vs Dragunov | 14–13 | 51.85% |
| Bigby92 vs Reina | 12–9 | 57.14% |
| Bigby92 vs Lars | 7–13 | 35.00% |
| Bigby92 vs Heihachi | 15–5 | 75.00% |
| Bigby92 vs Jack-8 | 3–16 | 15.79% |
| Bigby92 vs Asuka | 5–14 | 26.32% |
| Bigby92 vs Jun | 7–12 | 36.84% |
| Bigby92 vs Victor | 8–11 | 42.11% |
| Bigby92 vs Alisa | 7–11 | 38.89% |
| Bigby92 vs Azucena | 8–10 | 44.44% |
| Bigby92 vs Lidia | 13–5 | 72.22% |
| Bigby92 vs Yoshimitsu | 5–12 | 29.41% |
| Bigby92 vs Feng | 4–11 | 26.67% |
| Bigby92 vs Eddy | 7–7 | 50.00% |
| Bigby92 vs Xiaoyu | 6–7 | 46.15% |
| Bigby92 vs Devil Jin | 6–7 | 46.15% |
| Bigby92 vs Nina | 10–3 | 76.92% |
| Bigby92 vs Lee | 6–7 | 46.15% |
| Bigby92 vs Kuma | 6–7 | 46.15% |
| Bigby92 vs Leo | 1–7 | 12.50% |
| Bigby92 vs Zafina | 8–0 | 100.00% |
| Bigby92 vs Paul | 1–6 | 14.29% |
| Bigby92 vs Raven | 4–3 | 57.14% |
| Bigby92 vs Claudio | 2–4 | 33.33% |
| Bigby92 vs Leroy | 2–4 | 33.33% |
| Bigby92 vs Anna | 1–4 | 20.00% |
| Bigby92 vs Shaheen | 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.