BigThickMeaty vs Lili | 16–7 | 69.57% |
BigThickMeaty vs Eddy | 6–13 | 31.58% |
BigThickMeaty vs Jin | 10–7 | 58.82% |
BigThickMeaty vs Dragunov | 10–6 | 62.50% |
BigThickMeaty vs Reina | 8–7 | 53.33% |
BigThickMeaty vs King | 4–10 | 28.57% |
BigThickMeaty vs Kazuya | 9–5 | 64.29% |
BigThickMeaty vs Paul | 9–4 | 69.23% |
BigThickMeaty vs Lars | 9–4 | 69.23% |
BigThickMeaty vs Victor | 8–5 | 61.54% |
BigThickMeaty vs Feng | 5–7 | 41.67% |
BigThickMeaty vs Law | 5–6 | 45.45% |
BigThickMeaty vs Yoshimitsu | 5–6 | 45.45% |
BigThickMeaty vs Azucena | 6–5 | 54.55% |
BigThickMeaty vs Xiaoyu | 5–4 | 55.56% |
BigThickMeaty vs Bryan | 7–2 | 77.78% |
BigThickMeaty vs Alisa | 4–5 | 44.44% |
BigThickMeaty vs Hwoarang | 6–2 | 75.00% |
BigThickMeaty vs Steve | 4–3 | 57.14% |
BigThickMeaty vs Jun | 2–4–1 | 33.33% |
BigThickMeaty vs Devil Jin | 5–1 | 83.33% |
BigThickMeaty vs Leo | 4–2 | 66.67% |
BigThickMeaty vs Nina | 3–3 | 50.00% |
BigThickMeaty vs Raven | 2–3 | 40.00% |
BigThickMeaty vs Jack-8 | 1–3 | 25.00% |
BigThickMeaty vs Asuka | 3–1 | 75.00% |
BigThickMeaty vs Shaheen | 1–3 | 25.00% |
BigThickMeaty vs Lee | 2–2 | 50.00% |
BigThickMeaty vs Leroy | 1–3 | 25.00% |
BigThickMeaty vs Claudio | 1–1 | 50.00% |
BigThickMeaty vs Kuma | 2–0 | 100.00% |
BigThickMeaty vs Panda | 2–0 | 100.00% |
BigThickMeaty vs Zafina | 1–0 | 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.