Remmillion vs Reina | 36–17 | 67.92% |
Remmillion vs King | 23–29 | 44.23% |
Remmillion vs Steve | 21–31 | 40.38% |
Remmillion vs Kazuya | 27–22 | 55.10% |
Remmillion vs Yoshimitsu | 17–26 | 39.53% |
Remmillion vs Jin | 12–27 | 30.77% |
Remmillion vs Bryan | 12–15 | 44.44% |
Remmillion vs Law | 13–13 | 50.00% |
Remmillion vs Lidia | 16–10 | 61.54% |
Remmillion vs Asuka | 10–15 | 40.00% |
Remmillion vs Lili | 11–14 | 44.00% |
Remmillion vs Eddy | 8–17 | 32.00% |
Remmillion vs Hwoarang | 8–16 | 33.33% |
Remmillion vs Dragunov | 5–18 | 21.74% |
Remmillion vs Azucena | 10–13 | 43.48% |
Remmillion vs Victor | 9–14 | 39.13% |
Remmillion vs Xiaoyu | 9–13 | 40.91% |
Remmillion vs Lee | 7–11 | 38.89% |
Remmillion vs Alisa | 6–11 | 35.29% |
Remmillion vs Jun | 9–8 | 52.94% |
Remmillion vs Nina | 8–8 | 50.00% |
Remmillion vs Devil Jin | 4–11 | 26.67% |
Remmillion vs Paul | 6–8 | 42.86% |
Remmillion vs Jack-8 | 3–10 | 23.08% |
Remmillion vs Leo | 6–7 | 46.15% |
Remmillion vs Kuma | 2–9 | 18.18% |
Remmillion vs Leroy | 5–5 | 50.00% |
Remmillion vs Heihachi | 1–9 | 10.00% |
Remmillion vs Raven | 7–2 | 77.78% |
Remmillion vs Zafina | 1–6 | 14.29% |
Remmillion vs Claudio | 3–3 | 50.00% |
Remmillion vs Lars | 2–3 | 40.00% |
Remmillion vs Feng | 2–2 | 50.00% |
Remmillion vs Shaheen | 0–4 | 0.00% |
Remmillion vs Panda | 3–0 | 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.