TTV/Nsuena vs Jin | 75–37 | 66.96% |
TTV/Nsuena vs Hwoarang | 45–48 | 48.39% |
TTV/Nsuena vs Law | 47–30 | 61.04% |
TTV/Nsuena vs King | 46–27 | 63.01% |
TTV/Nsuena vs Dragunov | 32–41 | 43.84% |
TTV/Nsuena vs Reina | 47–16–1 | 74.60% |
TTV/Nsuena vs Victor | 26–38 | 40.62% |
TTV/Nsuena vs Yoshimitsu | 26–32 | 44.83% |
TTV/Nsuena vs Bryan | 36–20 | 64.29% |
TTV/Nsuena vs Paul | 19–35 | 35.19% |
TTV/Nsuena vs Alisa | 24–27 | 47.06% |
TTV/Nsuena vs Kazuya | 34–15 | 69.39% |
TTV/Nsuena vs Feng | 24–24 | 50.00% |
TTV/Nsuena vs Devil Jin | 26–21 | 55.32% |
TTV/Nsuena vs Lili | 17–28 | 37.78% |
TTV/Nsuena vs Heihachi | 18–24 | 42.86% |
TTV/Nsuena vs Eddy | 20–21 | 48.78% |
TTV/Nsuena vs Zafina | 14–20 | 41.18% |
TTV/Nsuena vs Xiaoyu | 13–20 | 39.39% |
TTV/Nsuena vs Jun | 17–15 | 53.12% |
TTV/Nsuena vs Lee | 16–15 | 51.61% |
TTV/Nsuena vs Steve | 18–11 | 62.07% |
TTV/Nsuena vs Raven | 12–16 | 42.86% |
TTV/Nsuena vs Lars | 7–19 | 26.92% |
TTV/Nsuena vs Nina | 13–13 | 50.00% |
TTV/Nsuena vs Azucena | 14–10 | 58.33% |
TTV/Nsuena vs Lidia | 7–16 | 30.43% |
TTV/Nsuena vs Jack-8 | 10–7 | 58.82% |
TTV/Nsuena vs Asuka | 11–6 | 64.71% |
TTV/Nsuena vs Kuma | 6–10 | 37.50% |
TTV/Nsuena vs Panda | 9–5 | 64.29% |
TTV/Nsuena vs Claudio | 6–5 | 54.55% |
TTV/Nsuena vs Leroy | 5–6 | 45.45% |
TTV/Nsuena vs Leo | 3–6 | 33.33% |
TTV/Nsuena vs Shaheen | 1–4 | 20.00% |
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.