| BIGMeat4YaLL vs Lars | 28–2 | 93.33% |
| BIGMeat4YaLL vs Yoshimitsu | 17–10 | 62.96% |
| BIGMeat4YaLL vs Jin | 15–12 | 55.56% |
| BIGMeat4YaLL vs Asuka | 21–4 | 84.00% |
| BIGMeat4YaLL vs Hwoarang | 14–10 | 58.33% |
| BIGMeat4YaLL vs Kazuya | 15–8 | 65.22% |
| BIGMeat4YaLL vs Eddy | 12–10 | 54.55% |
| BIGMeat4YaLL vs Zafina | 14–7 | 66.67% |
| BIGMeat4YaLL vs Lili | 11–8 | 57.89% |
| BIGMeat4YaLL vs Azucena | 15–4 | 78.95% |
| BIGMeat4YaLL vs King | 14–4 | 77.78% |
| BIGMeat4YaLL vs Devil Jin | 8–10 | 44.44% |
| BIGMeat4YaLL vs Dragunov | 13–5 | 72.22% |
| BIGMeat4YaLL vs Reina | 8–9 | 47.06% |
| BIGMeat4YaLL vs Jack-8 | 11–4 | 73.33% |
| BIGMeat4YaLL vs Feng | 10–5 | 66.67% |
| BIGMeat4YaLL vs Leo | 10–5 | 66.67% |
| BIGMeat4YaLL vs Fahkumram | 11–2 | 84.62% |
| BIGMeat4YaLL vs Law | 11–1 | 91.67% |
| BIGMeat4YaLL vs Lee | 6–6 | 50.00% |
| BIGMeat4YaLL vs Jun | 8–4 | 66.67% |
| BIGMeat4YaLL vs Bryan | 8–3 | 72.73% |
| BIGMeat4YaLL vs Steve | 8–3 | 72.73% |
| BIGMeat4YaLL vs Heihachi | 8–3 | 72.73% |
| BIGMeat4YaLL vs Paul | 7–2 | 77.78% |
| BIGMeat4YaLL vs Leroy | 6–3 | 66.67% |
| BIGMeat4YaLL vs Victor | 5–4 | 55.56% |
| BIGMeat4YaLL vs Xiaoyu | 5–3 | 62.50% |
| BIGMeat4YaLL vs Alisa | 1–7 | 12.50% |
| BIGMeat4YaLL vs Raven | 1–7 | 12.50% |
| BIGMeat4YaLL vs Shaheen | 3–2 | 60.00% |
| BIGMeat4YaLL vs Nina | 3–1 | 75.00% |
| BIGMeat4YaLL vs Claudio | 3–0 | 100.00% |
| BIGMeat4YaLL vs Armor King | 2–1 | 66.67% |
| BIGMeat4YaLL vs Panda | 2–0 | 100.00% |
| BIGMeat4YaLL vs Kuma | 1–0 | 100.00% |
| BIGMeat4YaLL vs Anna | 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.