GoM ¤ nas vs Bryan | 72–67 | 51.80% |
GoM ¤ nas vs Kazuya | 58–58 | 50.00% |
GoM ¤ nas vs King | 47–52 | 47.47% |
GoM ¤ nas vs Steve | 49–37 | 56.98% |
GoM ¤ nas vs Jin | 39–40 | 49.37% |
GoM ¤ nas vs Paul | 36–32 | 52.94% |
GoM ¤ nas vs Heihachi | 23–40 | 36.51% |
GoM ¤ nas vs Hwoarang | 27–33 | 45.00% |
GoM ¤ nas vs Yoshimitsu | 28–30 | 48.28% |
GoM ¤ nas vs Dragunov | 27–26 | 50.94% |
GoM ¤ nas vs Lili | 23–26 | 46.94% |
GoM ¤ nas vs Lee | 22–25 | 46.81% |
GoM ¤ nas vs Azucena | 23–23 | 50.00% |
GoM ¤ nas vs Law | 26–19 | 57.78% |
GoM ¤ nas vs Jun | 22–21 | 51.16% |
GoM ¤ nas vs Reina | 24–12 | 66.67% |
GoM ¤ nas vs Lars | 20–13 | 60.61% |
GoM ¤ nas vs Lidia | 16–13 | 55.17% |
GoM ¤ nas vs Eddy | 6–20 | 23.08% |
GoM ¤ nas vs Asuka | 13–12 | 52.00% |
GoM ¤ nas vs Alisa | 9–16 | 36.00% |
GoM ¤ nas vs Xiaoyu | 8–16 | 33.33% |
GoM ¤ nas vs Jack-8 | 7–17 | 29.17% |
GoM ¤ nas vs Victor | 12–12 | 50.00% |
GoM ¤ nas vs Raven | 14–8 | 63.64% |
GoM ¤ nas vs Clive | 15–7 | 68.18% |
GoM ¤ nas vs Nina | 14–7 | 66.67% |
GoM ¤ nas vs Shaheen | 6–12 | 33.33% |
GoM ¤ nas vs Devil Jin | 8–8 | 50.00% |
GoM ¤ nas vs Leo | 8–5 | 61.54% |
GoM ¤ nas vs Kuma | 6–7 | 46.15% |
GoM ¤ nas vs Feng | 6–5 | 54.55% |
GoM ¤ nas vs Zafina | 5–5 | 50.00% |
GoM ¤ nas vs Leroy | 4–5 | 44.44% |
GoM ¤ nas vs Panda | 2–3 | 40.00% |
GoM ¤ nas vs Claudio | 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.