GeeKo KiLLeR vs Eddy | 11–24 | 31.43% |
GeeKo KiLLeR vs Kazuya | 14–18 | 43.75% |
GeeKo KiLLeR vs Jin | 11–18 | 37.93% |
GeeKo KiLLeR vs Steve | 12–16 | 42.86% |
GeeKo KiLLeR vs King | 10–17 | 37.04% |
GeeKo KiLLeR vs Reina | 10–17 | 37.04% |
GeeKo KiLLeR vs Hwoarang | 12–14 | 46.15% |
GeeKo KiLLeR vs Law | 5–16–1 | 23.81% |
GeeKo KiLLeR vs Jun | 12–10 | 54.55% |
GeeKo KiLLeR vs Bryan | 12–9 | 57.14% |
GeeKo KiLLeR vs Lili | 7–13 | 35.00% |
GeeKo KiLLeR vs Yoshimitsu | 10–8 | 55.56% |
GeeKo KiLLeR vs Asuka | 11–7 | 61.11% |
GeeKo KiLLeR vs Devil Jin | 9–6 | 60.00% |
GeeKo KiLLeR vs Dragunov | 9–6 | 60.00% |
GeeKo KiLLeR vs Azucena | 4–9 | 30.77% |
GeeKo KiLLeR vs Victor | 3–10 | 23.08% |
GeeKo KiLLeR vs Paul | 2–8 | 20.00% |
GeeKo KiLLeR vs Nina | 6–4 | 60.00% |
GeeKo KiLLeR vs Leroy | 7–3 | 70.00% |
GeeKo KiLLeR vs Feng | 3–5 | 37.50% |
GeeKo KiLLeR vs Alisa | 5–3 | 62.50% |
GeeKo KiLLeR vs Xiaoyu | 3–4 | 42.86% |
GeeKo KiLLeR vs Jack-8 | 3–4 | 42.86% |
GeeKo KiLLeR vs Lars | 3–4 | 42.86% |
GeeKo KiLLeR vs Raven | 4–2 | 66.67% |
GeeKo KiLLeR vs Leo | 4–1 | 80.00% |
GeeKo KiLLeR vs Claudio | 1–4 | 20.00% |
GeeKo KiLLeR vs Lee | 2–1 | 66.67% |
GeeKo KiLLeR vs Zafina | 2–1 | 66.67% |
GeeKo KiLLeR vs Shaheen | 1–1 | 50.00% |
GeeKo KiLLeR vs Lidia | 1–1 | 50.00% |
GeeKo KiLLeR vs Kuma | 0–1 | 0.00% |
GeeKo KiLLeR vs Panda | 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.