| Nensel Grendil vs Jin | 21–24 | 46.67% |
| Nensel Grendil vs Heihachi | 16–22 | 42.11% |
| Nensel Grendil vs Dragunov | 16–17 | 48.48% |
| Nensel Grendil vs Law | 11–19 | 36.67% |
| Nensel Grendil vs King | 19–10 | 65.52% |
| Nensel Grendil vs Bryan | 13–11 | 54.17% |
| Nensel Grendil vs Yoshimitsu | 11–12 | 47.83% |
| Nensel Grendil vs Kazuya | 9–14 | 39.13% |
| Nensel Grendil vs Hwoarang | 13–9 | 59.09% |
| Nensel Grendil vs Eddy | 13–9 | 59.09% |
| Nensel Grendil vs Steve | 12–8 | 60.00% |
| Nensel Grendil vs Reina | 10–9 | 52.63% |
| Nensel Grendil vs Jun | 10–8 | 55.56% |
| Nensel Grendil vs Feng | 6–9 | 40.00% |
| Nensel Grendil vs Xiaoyu | 5–8 | 38.46% |
| Nensel Grendil vs Paul | 7–5 | 58.33% |
| Nensel Grendil vs Lili | 3–9 | 25.00% |
| Nensel Grendil vs Devil Jin | 8–3 | 72.73% |
| Nensel Grendil vs Lidia | 8–3 | 72.73% |
| Nensel Grendil vs Asuka | 9–1 | 90.00% |
| Nensel Grendil vs Alisa | 3–6 | 33.33% |
| Nensel Grendil vs Azucena | 8–1 | 88.89% |
| Nensel Grendil vs Victor | 6–2 | 75.00% |
| Nensel Grendil vs Leo | 6–1 | 85.71% |
| Nensel Grendil vs Clive | 3–4 | 42.86% |
| Nensel Grendil vs Jack-8 | 3–3 | 50.00% |
| Nensel Grendil vs Lars | 2–4 | 33.33% |
| Nensel Grendil vs Claudio | 1–5 | 16.67% |
| Nensel Grendil vs Zafina | 3–2 | 60.00% |
| Nensel Grendil vs Raven | 3–2 | 60.00% |
| Nensel Grendil vs Shaheen | 2–2 | 50.00% |
| Nensel Grendil vs Nina | 2–2 | 50.00% |
| Nensel Grendil vs Lee | 3–1 | 75.00% |
| Nensel Grendil vs Leroy | 4–0 | 100.00% |
| Nensel Grendil vs Fahkumram | 1–2 | 33.33% |
| Nensel Grendil vs Armor King | 3–0 | 100.00% |
| Nensel Grendil vs Anna | 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.