MasonScapes vs King | 26–4 | 86.67% |
MasonScapes vs Eddy | 19–5 | 79.17% |
MasonScapes vs Hwoarang | 19–4 | 82.61% |
MasonScapes vs Steve | 21–2 | 91.30% |
MasonScapes vs Reina | 20–3 | 86.96% |
MasonScapes vs Dragunov | 20–2 | 90.91% |
MasonScapes vs Jin | 18–0 | 100.00% |
MasonScapes vs Lee | 15–3 | 83.33% |
MasonScapes vs Heihachi | 12–4 | 75.00% |
MasonScapes vs Law | 14–1 | 93.33% |
MasonScapes vs Lars | 11–4 | 73.33% |
MasonScapes vs Azucena | 11–4 | 73.33% |
MasonScapes vs Asuka | 12–1 | 92.31% |
MasonScapes vs Yoshimitsu | 11–1 | 91.67% |
MasonScapes vs Kazuya | 11–1 | 91.67% |
MasonScapes vs Feng | 9–3 | 75.00% |
MasonScapes vs Victor | 8–4 | 66.67% |
MasonScapes vs Paul | 11–0 | 100.00% |
MasonScapes vs Bryan | 11–0 | 100.00% |
MasonScapes vs Jun | 10–1 | 90.91% |
MasonScapes vs Xiaoyu | 9–0 | 100.00% |
MasonScapes vs Devil Jin | 6–2 | 75.00% |
MasonScapes vs Leo | 6–2 | 75.00% |
MasonScapes vs Raven | 6–1 | 85.71% |
MasonScapes vs Claudio | 6–0 | 100.00% |
MasonScapes vs Shaheen | 6–0 | 100.00% |
MasonScapes vs Kuma | 6–0 | 100.00% |
MasonScapes vs Zafina | 3–3 | 50.00% |
MasonScapes vs Jack-8 | 1–4 | 20.00% |
MasonScapes vs Lili | 3–2 | 60.00% |
MasonScapes vs Lidia | 4–1 | 80.00% |
MasonScapes vs Nina | 2–1 | 66.67% |
MasonScapes vs Panda | 2–0 | 100.00% |
MasonScapes vs Alisa | 1–0 | 100.00% |
MasonScapes vs Leroy | 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.