NF_Uryyy vs King | 57–49 | 53.77% |
NF_Uryyy vs Jin | 42–42 | 50.00% |
NF_Uryyy vs Yoshimitsu | 38–42 | 47.50% |
NF_Uryyy vs Kazuya | 46–34 | 57.50% |
NF_Uryyy vs Bryan | 32–42 | 43.24% |
NF_Uryyy vs Steve | 37–33 | 52.86% |
NF_Uryyy vs Hwoarang | 37–32 | 53.62% |
NF_Uryyy vs Dragunov | 28–29 | 49.12% |
NF_Uryyy vs Lili | 29–27 | 51.79% |
NF_Uryyy vs Paul | 29–25 | 53.70% |
NF_Uryyy vs Reina | 30–18 | 62.50% |
NF_Uryyy vs Jack-8 | 22–21 | 51.16% |
NF_Uryyy vs Devil Jin | 19–23 | 45.24% |
NF_Uryyy vs Law | 17–20 | 45.95% |
NF_Uryyy vs Xiaoyu | 21–16 | 56.76% |
NF_Uryyy vs Lars | 26–10 | 72.22% |
NF_Uryyy vs Alisa | 22–11 | 66.67% |
NF_Uryyy vs Lee | 15–17 | 46.88% |
NF_Uryyy vs Feng | 14–15 | 48.28% |
NF_Uryyy vs Leo | 16–12 | 57.14% |
NF_Uryyy vs Eddy | 10–15 | 40.00% |
NF_Uryyy vs Shaheen | 10–14 | 41.67% |
NF_Uryyy vs Kuma | 15–8 | 65.22% |
NF_Uryyy vs Clive | 9–13 | 40.91% |
NF_Uryyy vs Jun | 12–8 | 60.00% |
NF_Uryyy vs Raven | 8–11 | 42.11% |
NF_Uryyy vs Nina | 10–7 | 58.82% |
NF_Uryyy vs Victor | 12–5 | 70.59% |
NF_Uryyy vs Azucena | 10–6 | 62.50% |
NF_Uryyy vs Heihachi | 7–7 | 50.00% |
NF_Uryyy vs Leroy | 5–8 | 38.46% |
NF_Uryyy vs Asuka | 7–4 | 63.64% |
NF_Uryyy vs Claudio | 6–5 | 54.55% |
NF_Uryyy vs Panda | 1–4 | 20.00% |
NF_Uryyy vs Zafina | 4–1 | 80.00% |
NF_Uryyy vs Lidia | 3–2 | 60.00% |
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.