| BigChill vs King | 96–65 | 59.63% |
| BigChill vs Jin | 67–49 | 57.76% |
| BigChill vs Law | 63–47 | 57.27% |
| BigChill vs Kazuya | 43–61 | 41.35% |
| BigChill vs Paul | 39–45 | 46.43% |
| BigChill vs Bryan | 28–52 | 35.00% |
| BigChill vs Armor King | 39–34 | 53.42% |
| BigChill vs Heihachi | 24–31 | 43.64% |
| BigChill vs Nina | 27–23 | 54.00% |
| BigChill vs Yoshimitsu | 20–29 | 40.82% |
| BigChill vs Steve | 25–23 | 52.08% |
| BigChill vs Dragunov | 18–24 | 42.86% |
| BigChill vs Hwoarang | 14–27 | 34.15% |
| BigChill vs Azucena | 20–15 | 57.14% |
| BigChill vs Eddy | 19–12 | 61.29% |
| BigChill vs Devil Jin | 14–16 | 46.67% |
| BigChill vs Fahkumram | 18–7 | 72.00% |
| BigChill vs Lars | 8–15 | 34.78% |
| BigChill vs Reina | 15–8 | 65.22% |
| BigChill vs Miary Zo | 10–12 | 45.45% |
| BigChill vs Lili | 4–17 | 19.05% |
| BigChill vs Victor | 11–10 | 52.38% |
| BigChill vs Clive | 11–10 | 52.38% |
| BigChill vs Asuka | 9–9 | 50.00% |
| BigChill vs Jack-8 | 10–7 | 58.82% |
| BigChill vs Zafina | 9–8 | 52.94% |
| BigChill vs Alisa | 3–9 | 25.00% |
| BigChill vs Jun | 5–7 | 41.67% |
| BigChill vs Leroy | 3–8 | 27.27% |
| BigChill vs Kuma | 2–7 | 22.22% |
| BigChill vs Anna | 2–7 | 22.22% |
| BigChill vs Claudio | 3–5 | 37.50% |
| BigChill vs Xiaoyu | 0–6 | 0.00% |
| BigChill vs Feng | 2–4 | 33.33% |
| BigChill vs Lee | 4–2 | 66.67% |
| BigChill vs Leo | 0–4 | 0.00% |
| BigChill vs Raven | 0–4 | 0.00% |
| BigChill vs Lidia | 2–2 | 50.00% |
| BigChill vs Shaheen | 0–3 | 0.00% |
| BigChill vs Panda | 1–2 | 33.33% |
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.