| NEZZEL vs Steve | 27–8 | 77.14% |
| NEZZEL vs Dragunov | 24–4 | 85.71% |
| NEZZEL vs King | 15–7 | 68.18% |
| NEZZEL vs Hwoarang | 17–3 | 85.00% |
| NEZZEL vs Jin | 13–7 | 65.00% |
| NEZZEL vs Lili | 10–10 | 50.00% |
| NEZZEL vs Xiaoyu | 11–5 | 68.75% |
| NEZZEL vs Reina | 10–5 | 66.67% |
| NEZZEL vs Nina | 12–2 | 85.71% |
| NEZZEL vs Victor | 10–4 | 71.43% |
| NEZZEL vs Heihachi | 6–8 | 42.86% |
| NEZZEL vs Paul | 9–4 | 69.23% |
| NEZZEL vs Bryan | 10–3 | 76.92% |
| NEZZEL vs Kazuya | 12–1 | 92.31% |
| NEZZEL vs Law | 11–1 | 91.67% |
| NEZZEL vs Lars | 8–3 | 72.73% |
| NEZZEL vs Clive | 5–6 | 45.45% |
| NEZZEL vs Alisa | 7–2 | 77.78% |
| NEZZEL vs Zafina | 3–6 | 33.33% |
| NEZZEL vs Lee | 5–2 | 71.43% |
| NEZZEL vs Lidia | 5–2 | 71.43% |
| NEZZEL vs Miary Zo | 6–1 | 85.71% |
| NEZZEL vs Yoshimitsu | 2–4 | 33.33% |
| NEZZEL vs Asuka | 1–5 | 16.67% |
| NEZZEL vs Devil Jin | 6–0 | 100.00% |
| NEZZEL vs Armor King | 5–1 | 83.33% |
| NEZZEL vs Feng | 3–2 | 60.00% |
| NEZZEL vs Leo | 4–1 | 80.00% |
| NEZZEL vs Eddy | 4–1 | 80.00% |
| NEZZEL vs Leroy | 2–2 | 50.00% |
| NEZZEL vs Jack-8 | 0–2 | 0.00% |
| NEZZEL vs Claudio | 2–0 | 100.00% |
| NEZZEL vs Shaheen | 1–1 | 50.00% |
| NEZZEL vs Jun | 2–0 | 100.00% |
| NEZZEL vs Azucena | 2–0 | 100.00% |
| NEZZEL vs Raven | 2–0 | 100.00% |
| NEZZEL vs Anna | 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.