mcomurilo vs Jin | 64–69 | 48.12% |
mcomurilo vs King | 60–71 | 45.80% |
mcomurilo vs Kazuya | 64–65 | 49.61% |
mcomurilo vs Reina | 50–58 | 46.30% |
mcomurilo vs Bryan | 36–54 | 40.00% |
mcomurilo vs Heihachi | 25–65 | 27.78% |
mcomurilo vs Dragunov | 39–46 | 45.88% |
mcomurilo vs Steve | 46–38 | 54.76% |
mcomurilo vs Eddy | 37–43 | 46.25% |
mcomurilo vs Lili | 26–41 | 38.81% |
mcomurilo vs Hwoarang | 27–39 | 40.91% |
mcomurilo vs Asuka | 28–30 | 48.28% |
mcomurilo vs Yoshimitsu | 19–38 | 33.33% |
mcomurilo vs Paul | 19–35 | 35.19% |
mcomurilo vs Jun | 23–29 | 44.23% |
mcomurilo vs Lidia | 22–25 | 46.81% |
mcomurilo vs Nina | 22–23 | 48.89% |
mcomurilo vs Law | 16–27 | 37.21% |
mcomurilo vs Azucena | 20–22 | 47.62% |
mcomurilo vs Clive | 19–22 | 46.34% |
mcomurilo vs Feng | 16–20 | 44.44% |
mcomurilo vs Xiaoyu | 13–22 | 37.14% |
mcomurilo vs Lars | 16–19 | 45.71% |
mcomurilo vs Lee | 12–23 | 34.29% |
mcomurilo vs Devil Jin | 16–17 | 48.48% |
mcomurilo vs Jack-8 | 13–16 | 44.83% |
mcomurilo vs Victor | 11–16 | 40.74% |
mcomurilo vs Zafina | 11–13 | 45.83% |
mcomurilo vs Leroy | 11–13 | 45.83% |
mcomurilo vs Alisa | 9–14 | 39.13% |
mcomurilo vs Leo | 3–17 | 15.00% |
mcomurilo vs Claudio | 11–9 | 55.00% |
mcomurilo vs Kuma | 6–14 | 30.00% |
mcomurilo vs Raven | 8–8 | 50.00% |
mcomurilo vs Shaheen | 7–7 | 50.00% |
mcomurilo vs Panda | 3–1 | 75.00% |
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.