BigFlex_18 vs Jin | 37–56 | 39.78% |
BigFlex_18 vs King | 46–44 | 51.11% |
BigFlex_18 vs Kazuya | 37–35 | 51.39% |
BigFlex_18 vs Steve | 37–32 | 53.62% |
BigFlex_18 vs Bryan | 22–46 | 32.35% |
BigFlex_18 vs Paul | 18–28 | 39.13% |
BigFlex_18 vs Dragunov | 19–26 | 42.22% |
BigFlex_18 vs Yoshimitsu | 18–26 | 40.91% |
BigFlex_18 vs Law | 17–26 | 39.53% |
BigFlex_18 vs Reina | 27–16 | 62.79% |
BigFlex_18 vs Jun | 18–21 | 46.15% |
BigFlex_18 vs Victor | 13–23 | 36.11% |
BigFlex_18 vs Hwoarang | 8–19 | 29.63% |
BigFlex_18 vs Eddy | 13–9 | 59.09% |
BigFlex_18 vs Lidia | 13–9 | 59.09% |
BigFlex_18 vs Xiaoyu | 14–5 | 73.68% |
BigFlex_18 vs Lili | 6–12 | 33.33% |
BigFlex_18 vs Feng | 5–12 | 29.41% |
BigFlex_18 vs Alisa | 8–9 | 47.06% |
BigFlex_18 vs Asuka | 5–9 | 35.71% |
BigFlex_18 vs Shaheen | 5–8 | 38.46% |
BigFlex_18 vs Heihachi | 7–6 | 53.85% |
BigFlex_18 vs Devil Jin | 5–7 | 41.67% |
BigFlex_18 vs Lars | 6–5 | 54.55% |
BigFlex_18 vs Lee | 6–4 | 60.00% |
BigFlex_18 vs Claudio | 4–5 | 44.44% |
BigFlex_18 vs Nina | 5–2 | 71.43% |
BigFlex_18 vs Zafina | 4–3 | 57.14% |
BigFlex_18 vs Azucena | 4–3 | 57.14% |
BigFlex_18 vs Leroy | 2–4 | 33.33% |
BigFlex_18 vs Jack-8 | 2–3 | 40.00% |
BigFlex_18 vs Raven | 2–3 | 40.00% |
BigFlex_18 vs Leo | 0–4 | 0.00% |
BigFlex_18 vs Kuma | 2–2 | 50.00% |
BigFlex_18 vs Panda | 2–1 | 66.67% |
BigFlex_18 vs Clive | 1–2 | 33.33% |
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.