| NBTMx/Darrow vs Reina | 20–15 | 57.14% |
| NBTMx/Darrow vs Jin | 10–9 | 52.63% |
| NBTMx/Darrow vs Dragunov | 11–3 | 78.57% |
| NBTMx/Darrow vs Lili | 8–5 | 61.54% |
| NBTMx/Darrow vs Kazuya | 5–7 | 41.67% |
| NBTMx/Darrow vs Victor | 6–5 | 54.55% |
| NBTMx/Darrow vs Asuka | 3–5 | 37.50% |
| NBTMx/Darrow vs Claudio | 6–1 | 85.71% |
| NBTMx/Darrow vs Bryan | 2–4 | 33.33% |
| NBTMx/Darrow vs Devil Jin | 1–5 | 16.67% |
| NBTMx/Darrow vs Azucena | 2–4 | 33.33% |
| NBTMx/Darrow vs Eddy | 4–2 | 66.67% |
| NBTMx/Darrow vs Steve | 3–2 | 60.00% |
| NBTMx/Darrow vs Lee | 3–2 | 60.00% |
| NBTMx/Darrow vs Kuma | 4–1 | 80.00% |
| NBTMx/Darrow vs Leroy | 4–1 | 80.00% |
| NBTMx/Darrow vs Jun | 4–1 | 80.00% |
| NBTMx/Darrow vs Paul | 0–4 | 0.00% |
| NBTMx/Darrow vs Hwoarang | 1–3 | 25.00% |
| NBTMx/Darrow vs Lars | 2–2 | 50.00% |
| NBTMx/Darrow vs Law | 0–3 | 0.00% |
| NBTMx/Darrow vs King | 3–0 | 100.00% |
| NBTMx/Darrow vs Yoshimitsu | 0–2 | 0.00% |
| NBTMx/Darrow vs Jack-8 | 2–0 | 100.00% |
| NBTMx/Darrow vs Nina | 1–1 | 50.00% |
| NBTMx/Darrow vs Raven | 2–0 | 100.00% |
| NBTMx/Darrow vs Lidia | 2–0 | 100.00% |
| NBTMx/Darrow vs Heihachi | 2–0 | 100.00% |
| NBTMx/Darrow vs Clive | 2–0 | 100.00% |
| NBTMx/Darrow vs Xiaoyu | 1–0 | 100.00% |
| NBTMx/Darrow vs Feng | 1–0 | 100.00% |
| NBTMx/Darrow vs Alisa | 1–0 | 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.