| NoT_andreax vs King | 50–45 | 52.63% |
| NoT_andreax vs Bryan | 33–46 | 41.77% |
| NoT_andreax vs Law | 39–36 | 52.00% |
| NoT_andreax vs Kazuya | 31–44 | 41.33% |
| NoT_andreax vs Jin | 37–36 | 50.68% |
| NoT_andreax vs Dragunov | 19–31 | 38.00% |
| NoT_andreax vs Hwoarang | 24–21 | 53.33% |
| NoT_andreax vs Lili | 22–22 | 50.00% |
| NoT_andreax vs Fahkumram | 25–18 | 58.14% |
| NoT_andreax vs Paul | 19–23 | 45.24% |
| NoT_andreax vs Devil Jin | 11–28 | 28.21% |
| NoT_andreax vs Heihachi | 24–15 | 61.54% |
| NoT_andreax vs Steve | 20–18 | 52.63% |
| NoT_andreax vs Eddy | 21–17 | 55.26% |
| NoT_andreax vs Yoshimitsu | 17–19 | 47.22% |
| NoT_andreax vs Feng | 19–16 | 54.29% |
| NoT_andreax vs Reina | 18–16 | 52.94% |
| NoT_andreax vs Jun | 14–15 | 48.28% |
| NoT_andreax vs Xiaoyu | 12–14 | 46.15% |
| NoT_andreax vs Alisa | 10–14 | 41.67% |
| NoT_andreax vs Lars | 13–8 | 61.90% |
| NoT_andreax vs Nina | 10–11 | 47.62% |
| NoT_andreax vs Victor | 14–6 | 70.00% |
| NoT_andreax vs Lidia | 10–10 | 50.00% |
| NoT_andreax vs Jack-8 | 9–10 | 47.37% |
| NoT_andreax vs Lee | 12–7 | 63.16% |
| NoT_andreax vs Asuka | 7–11 | 38.89% |
| NoT_andreax vs Anna | 10–7 | 58.82% |
| NoT_andreax vs Azucena | 7–8 | 46.67% |
| NoT_andreax vs Kuma | 6–7 | 46.15% |
| NoT_andreax vs Claudio | 2–10 | 16.67% |
| NoT_andreax vs Leo | 5–6 | 45.45% |
| NoT_andreax vs Raven | 5–5 | 50.00% |
| NoT_andreax vs Clive | 2–7 | 22.22% |
| NoT_andreax vs Shaheen | 3–4 | 42.86% |
| NoT_andreax vs Armor King | 3–4 | 42.86% |
| NoT_andreax vs Leroy | 2–3 | 40.00% |
| NoT_andreax vs Zafina | 1–2 | 33.33% |
| NoT_andreax vs Miary Zo | 0–1 | 0.00% |
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.