BKB|McCheese vs Feng | 51–29 | 63.75% |
BKB|McCheese vs Reina | 30–37 | 44.78% |
BKB|McCheese vs Nina | 44–22 | 66.67% |
BKB|McCheese vs Lars | 30–25 | 54.55% |
BKB|McCheese vs Hwoarang | 29–25 | 53.70% |
BKB|McCheese vs Jin | 34–19 | 64.15% |
BKB|McCheese vs Dragunov | 35–18 | 66.04% |
BKB|McCheese vs King | 32–20 | 61.54% |
BKB|McCheese vs Jack-8 | 8–35 | 18.60% |
BKB|McCheese vs Yoshimitsu | 17–13 | 56.67% |
BKB|McCheese vs Shaheen | 16–10 | 61.54% |
BKB|McCheese vs Devil Jin | 17–7 | 70.83% |
BKB|McCheese vs Bryan | 16–7 | 69.57% |
BKB|McCheese vs Lili | 11–11 | 50.00% |
BKB|McCheese vs Eddy | 15–6 | 71.43% |
BKB|McCheese vs Raven | 13–7 | 65.00% |
BKB|McCheese vs Steve | 15–4 | 78.95% |
BKB|McCheese vs Kazuya | 14–4 | 77.78% |
BKB|McCheese vs Xiaoyu | 12–5 | 70.59% |
BKB|McCheese vs Azucena | 15–1 | 93.75% |
BKB|McCheese vs Victor | 7–8 | 46.67% |
BKB|McCheese vs Heihachi | 9–6 | 60.00% |
BKB|McCheese vs Lee | 7–6 | 53.85% |
BKB|McCheese vs Alisa | 11–1 | 91.67% |
BKB|McCheese vs Jun | 5–7 | 41.67% |
BKB|McCheese vs Paul | 9–2 | 81.82% |
BKB|McCheese vs Law | 6–4 | 60.00% |
BKB|McCheese vs Leroy | 4–5 | 44.44% |
BKB|McCheese vs Claudio | 4–4 | 50.00% |
BKB|McCheese vs Kuma | 5–2 | 71.43% |
BKB|McCheese vs Zafina | 6–1 | 85.71% |
BKB|McCheese vs Lidia | 5–2 | 71.43% |
BKB|McCheese vs Panda | 4–1 | 80.00% |
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.