UBC UNLTD vs Jin | 96–66 | 59.26% |
UBC UNLTD vs King | 97–51 | 65.54% |
UBC UNLTD vs Bryan | 72–41 | 63.72% |
UBC UNLTD vs Heihachi | 70–43 | 61.95% |
UBC UNLTD vs Steve | 55–42 | 56.70% |
UBC UNLTD vs Kazuya | 55–38 | 59.14% |
UBC UNLTD vs Lidia | 33–49 | 40.24% |
UBC UNLTD vs Devil Jin | 44–36 | 55.00% |
UBC UNLTD vs Dragunov | 41–39 | 51.25% |
UBC UNLTD vs Yoshimitsu | 40–36 | 52.63% |
UBC UNLTD vs Paul | 51–24 | 68.00% |
UBC UNLTD vs Law | 40–31 | 56.34% |
UBC UNLTD vs Lars | 24–44 | 35.29% |
UBC UNLTD vs Reina | 37–31 | 54.41% |
UBC UNLTD vs Hwoarang | 35–30 | 53.85% |
UBC UNLTD vs Xiaoyu | 36–28 | 56.25% |
UBC UNLTD vs Lee | 34–29 | 53.97% |
UBC UNLTD vs Feng | 26–32 | 44.83% |
UBC UNLTD vs Lili | 29–23 | 55.77% |
UBC UNLTD vs Nina | 30–22 | 57.69% |
UBC UNLTD vs Victor | 24–27 | 47.06% |
UBC UNLTD vs Leo | 24–21 | 53.33% |
UBC UNLTD vs Asuka | 26–17 | 60.47% |
UBC UNLTD vs Raven | 23–18 | 56.10% |
UBC UNLTD vs Jun | 19–18 | 51.35% |
UBC UNLTD vs Eddy | 21–16 | 56.76% |
UBC UNLTD vs Jack-8 | 18–15 | 54.55% |
UBC UNLTD vs Azucena | 17–15 | 53.12% |
UBC UNLTD vs Claudio | 17–13 | 56.67% |
UBC UNLTD vs Alisa | 12–16 | 42.86% |
UBC UNLTD vs Zafina | 11–12 | 47.83% |
UBC UNLTD vs Kuma | 6–15 | 28.57% |
UBC UNLTD vs Leroy | 13–8 | 61.90% |
UBC UNLTD vs Shaheen | 12–7 | 63.16% |
UBC UNLTD vs Panda | 10–3 | 76.92% |
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.