NWT-ASAFRAO vs Kazuya | 30–6 | 83.33% |
NWT-ASAFRAO vs Steve | 25–6 | 80.65% |
NWT-ASAFRAO vs Eddy | 23–8 | 74.19% |
NWT-ASAFRAO vs Reina | 18–4 | 81.82% |
NWT-ASAFRAO vs Jin | 15–4 | 78.95% |
NWT-ASAFRAO vs Dragunov | 16–1 | 94.12% |
NWT-ASAFRAO vs Bryan | 12–1 | 92.31% |
NWT-ASAFRAO vs Azucena | 13–0 | 100.00% |
NWT-ASAFRAO vs Asuka | 10–1 | 90.91% |
NWT-ASAFRAO vs Nina | 8–3 | 72.73% |
NWT-ASAFRAO vs Hwoarang | 9–1 | 90.00% |
NWT-ASAFRAO vs Lili | 9–1 | 90.00% |
NWT-ASAFRAO vs Victor | 9–1 | 90.00% |
NWT-ASAFRAO vs Paul | 8–1 | 88.89% |
NWT-ASAFRAO vs Claudio | 5–4 | 55.56% |
NWT-ASAFRAO vs Shaheen | 9–0 | 100.00% |
NWT-ASAFRAO vs Clive | 8–1 | 88.89% |
NWT-ASAFRAO vs Alisa | 7–1 | 87.50% |
NWT-ASAFRAO vs Lidia | 6–2 | 75.00% |
NWT-ASAFRAO vs Law | 6–1 | 85.71% |
NWT-ASAFRAO vs Lars | 6–1 | 85.71% |
NWT-ASAFRAO vs Raven | 5–2 | 71.43% |
NWT-ASAFRAO vs Lee | 6–0 | 100.00% |
NWT-ASAFRAO vs Leroy | 5–1 | 83.33% |
NWT-ASAFRAO vs Jun | 6–0 | 100.00% |
NWT-ASAFRAO vs Xiaoyu | 4–1 | 80.00% |
NWT-ASAFRAO vs Feng | 5–0 | 100.00% |
NWT-ASAFRAO vs Devil Jin | 4–0 | 100.00% |
NWT-ASAFRAO vs Leo | 4–0 | 100.00% |
NWT-ASAFRAO vs Kuma | 4–0 | 100.00% |
NWT-ASAFRAO vs Jack-8 | 1–2 | 33.33% |
NWT-ASAFRAO vs Panda | 3–0 | 100.00% |
NWT-ASAFRAO vs Zafina | 1–2 | 33.33% |
NWT-ASAFRAO vs King | 2–0 | 100.00% |
NWT-ASAFRAO vs Yoshimitsu | 2–0 | 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.