| Nill vs King | 29–59 | 32.95% |
| Nill vs Miary Zo | 22–43 | 33.85% |
| Nill vs Armor King | 17–40 | 29.82% |
| Nill vs Steve | 23–31 | 42.59% |
| Nill vs Jin | 23–28 | 45.10% |
| Nill vs Hwoarang | 13–32 | 28.89% |
| Nill vs Law | 10–28 | 26.32% |
| Nill vs Lili | 10–25 | 28.57% |
| Nill vs Eddy | 7–28 | 20.00% |
| Nill vs Jun | 5–28 | 15.15% |
| Nill vs Dragunov | 13–16 | 44.83% |
| Nill vs Kazuya | 8–19 | 29.63% |
| Nill vs Reina | 9–16 | 36.00% |
| Nill vs Azucena | 9–15 | 37.50% |
| Nill vs Bryan | 6–14 | 30.00% |
| Nill vs Leo | 3–16 | 15.79% |
| Nill vs Heihachi | 8–11 | 42.11% |
| Nill vs Anna | 7–12 | 36.84% |
| Nill vs Fahkumram | 5–14 | 26.32% |
| Nill vs Nina | 5–13 | 27.78% |
| Nill vs Victor | 7–11 | 38.89% |
| Nill vs Xiaoyu | 7–9 | 43.75% |
| Nill vs Yoshimitsu | 8–6 | 57.14% |
| Nill vs Lars | 5–9 | 35.71% |
| Nill vs Lee | 6–7 | 46.15% |
| Nill vs Asuka | 5–7 | 41.67% |
| Nill vs Alisa | 2–10 | 16.67% |
| Nill vs Paul | 2–9 | 18.18% |
| Nill vs Raven | 2–9 | 18.18% |
| Nill vs Claudio | 2–8 | 20.00% |
| Nill vs Leroy | 4–4 | 50.00% |
| Nill vs Panda | 1–6 | 14.29% |
| Nill vs Jack-8 | 0–6 | 0.00% |
| Nill vs Feng | 0–6 | 0.00% |
| Nill vs Lidia | 1–5 | 16.67% |
| Nill vs Kuma | 1–4 | 20.00% |
| Nill vs Devil Jin | 1–2 | 33.33% |
| Nill vs Shaheen | 1–2 | 33.33% |
| Nill vs Clive | 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.