| Biglegit16 vs King | 28–18 | 60.87% |
| Biglegit16 vs Kazuya | 18–12 | 60.00% |
| Biglegit16 vs Law | 12–16 | 42.86% |
| Biglegit16 vs Jin | 18–10 | 64.29% |
| Biglegit16 vs Hwoarang | 12–15 | 44.44% |
| Biglegit16 vs Steve | 14–9 | 60.87% |
| Biglegit16 vs Armor King | 14–9 | 60.87% |
| Biglegit16 vs Lili | 12–9 | 57.14% |
| Biglegit16 vs Miary Zo | 12–7 | 63.16% |
| Biglegit16 vs Clive | 9–9 | 50.00% |
| Biglegit16 vs Xiaoyu | 8–9 | 47.06% |
| Biglegit16 vs Leroy | 13–4 | 76.47% |
| Biglegit16 vs Yoshimitsu | 6–7 | 46.15% |
| Biglegit16 vs Reina | 9–4 | 69.23% |
| Biglegit16 vs Devil Jin | 7–4 | 63.64% |
| Biglegit16 vs Dragunov | 10–1 | 90.91% |
| Biglegit16 vs Lee | 5–6 | 45.45% |
| Biglegit16 vs Jun | 7–4 | 63.64% |
| Biglegit16 vs Fahkumram | 3–8 | 27.27% |
| Biglegit16 vs Paul | 7–3 | 70.00% |
| Biglegit16 vs Asuka | 5–5 | 50.00% |
| Biglegit16 vs Shaheen | 6–4 | 60.00% |
| Biglegit16 vs Victor | 3–7 | 30.00% |
| Biglegit16 vs Raven | 7–3 | 70.00% |
| Biglegit16 vs Leo | 5–4 | 55.56% |
| Biglegit16 vs Heihachi | 6–3 | 66.67% |
| Biglegit16 vs Bryan | 4–4 | 50.00% |
| Biglegit16 vs Eddy | 5–3 | 62.50% |
| Biglegit16 vs Lars | 4–3 | 57.14% |
| Biglegit16 vs Alisa | 5–2 | 71.43% |
| Biglegit16 vs Jack-8 | 4–2 | 66.67% |
| Biglegit16 vs Azucena | 3–2 | 60.00% |
| Biglegit16 vs Anna | 4–1 | 80.00% |
| Biglegit16 vs Feng | 3–1 | 75.00% |
| Biglegit16 vs Kuma | 4–0 | 100.00% |
| Biglegit16 vs Lidia | 3–1 | 75.00% |
| Biglegit16 vs Nina | 2–0 | 100.00% |
| Biglegit16 vs Panda | 2–0 | 100.00% |
| Biglegit16 vs Zafina | 2–0 | 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.