| Luh nppL guru vs Eddy | 9–47 | 16.07% |
| Luh nppL guru vs Steve | 25–13 | 65.79% |
| Luh nppL guru vs Reina | 26–9 | 74.29% |
| Luh nppL guru vs Jin | 12–16 | 42.86% |
| Luh nppL guru vs Lili | 13–15 | 46.43% |
| Luh nppL guru vs Hwoarang | 14–10 | 58.33% |
| Luh nppL guru vs Kazuya | 6–18 | 25.00% |
| Luh nppL guru vs Asuka | 9–13 | 40.91% |
| Luh nppL guru vs Leo | 9–11 | 45.00% |
| Luh nppL guru vs King | 10–9 | 52.63% |
| Luh nppL guru vs Jun | 8–11 | 42.11% |
| Luh nppL guru vs Law | 8–9 | 47.06% |
| Luh nppL guru vs Lars | 8–9 | 47.06% |
| Luh nppL guru vs Victor | 4–13 | 23.53% |
| Luh nppL guru vs Lee | 12–4 | 75.00% |
| Luh nppL guru vs Dragunov | 7–8 | 46.67% |
| Luh nppL guru vs Clive | 7–6 | 53.85% |
| Luh nppL guru vs Shaheen | 5–7 | 41.67% |
| Luh nppL guru vs Azucena | 3–9 | 25.00% |
| Luh nppL guru vs Yoshimitsu | 5–5 | 50.00% |
| Luh nppL guru vs Nina | 7–3 | 70.00% |
| Luh nppL guru vs Feng | 1–8 | 11.11% |
| Luh nppL guru vs Xiaoyu | 4–4 | 50.00% |
| Luh nppL guru vs Lidia | 5–3 | 62.50% |
| Luh nppL guru vs Zafina | 4–3 | 57.14% |
| Luh nppL guru vs Bryan | 3–3 | 50.00% |
| Luh nppL guru vs Claudio | 3–3 | 50.00% |
| Luh nppL guru vs Leroy | 2–4 | 33.33% |
| Luh nppL guru vs Kuma | 4–1 | 80.00% |
| Luh nppL guru vs Raven | 2–3 | 40.00% |
| Luh nppL guru vs Heihachi | 1–4 | 20.00% |
| Luh nppL guru vs Paul | 1–3 | 25.00% |
| Luh nppL guru vs Jack-8 | 2–2 | 50.00% |
| Luh nppL guru vs Alisa | 1–3 | 25.00% |
| Luh nppL guru vs Panda | 0–2 | 0.00% |
| Luh nppL guru vs Devil Jin | 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.