EmilianoLabo vs Reina | 19–13 | 59.38% |
EmilianoLabo vs King | 9–14 | 39.13% |
EmilianoLabo vs Azucena | 9–11 | 45.00% |
EmilianoLabo vs Jin | 8–8 | 50.00% |
EmilianoLabo vs Steve | 8–8 | 50.00% |
EmilianoLabo vs Lidia | 9–7 | 56.25% |
EmilianoLabo vs Law | 4–10 | 28.57% |
EmilianoLabo vs Hwoarang | 6–8 | 42.86% |
EmilianoLabo vs Leo | 5–9 | 35.71% |
EmilianoLabo vs Bryan | 3–10 | 23.08% |
EmilianoLabo vs Kazuya | 3–7 | 30.00% |
EmilianoLabo vs Victor | 7–3 | 70.00% |
EmilianoLabo vs Dragunov | 3–6 | 33.33% |
EmilianoLabo vs Kuma | 6–3 | 66.67% |
EmilianoLabo vs Leroy | 6–3 | 66.67% |
EmilianoLabo vs Jun | 6–3 | 66.67% |
EmilianoLabo vs Lili | 8–0 | 100.00% |
EmilianoLabo vs Lee | 5–3 | 62.50% |
EmilianoLabo vs Eddy | 3–5 | 37.50% |
EmilianoLabo vs Yoshimitsu | 3–4 | 42.86% |
EmilianoLabo vs Paul | 2–4 | 33.33% |
EmilianoLabo vs Asuka | 5–1 | 83.33% |
EmilianoLabo vs Feng | 4–2 | 66.67% |
EmilianoLabo vs Alisa | 2–4 | 33.33% |
EmilianoLabo vs Claudio | 4–2 | 66.67% |
EmilianoLabo vs Raven | 3–2 | 60.00% |
EmilianoLabo vs Jack-8 | 2–2 | 50.00% |
EmilianoLabo vs Zafina | 0–4 | 0.00% |
EmilianoLabo vs Lars | 2–1 | 66.67% |
EmilianoLabo vs Xiaoyu | 0–2 | 0.00% |
EmilianoLabo vs Devil Jin | 1–1 | 50.00% |
EmilianoLabo vs Nina | 2–0 | 100.00% |
EmilianoLabo 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.