| no0d3lZ vs Steve | 15–20 | 42.86% |
| no0d3lZ vs Law | 7–21 | 25.00% |
| no0d3lZ vs King | 12–14 | 46.15% |
| no0d3lZ vs Hwoarang | 5–20 | 20.00% |
| no0d3lZ vs Reina | 13–10 | 56.52% |
| no0d3lZ vs Jin | 8–11 | 42.11% |
| no0d3lZ vs Lili | 5–11 | 31.25% |
| no0d3lZ vs Armor King | 2–13 | 13.33% |
| no0d3lZ vs Kazuya | 2–12 | 14.29% |
| no0d3lZ vs Victor | 8–6 | 57.14% |
| no0d3lZ vs Heihachi | 4–8 | 33.33% |
| no0d3lZ vs Clive | 4–8 | 33.33% |
| no0d3lZ vs Asuka | 5–6 | 45.45% |
| no0d3lZ vs Yoshimitsu | 5–5 | 50.00% |
| no0d3lZ vs Bryan | 3–7 | 30.00% |
| no0d3lZ vs Nina | 3–7 | 30.00% |
| no0d3lZ vs Fahkumram | 4–6 | 40.00% |
| no0d3lZ vs Dragunov | 3–6 | 33.33% |
| no0d3lZ vs Raven | 4–5 | 44.44% |
| no0d3lZ vs Eddy | 2–7 | 22.22% |
| no0d3lZ vs Leroy | 3–4 | 42.86% |
| no0d3lZ vs Jun | 2–5 | 28.57% |
| no0d3lZ vs Xiaoyu | 1–5 | 16.67% |
| no0d3lZ vs Lars | 0–6 | 0.00% |
| no0d3lZ vs Lidia | 3–3 | 50.00% |
| no0d3lZ vs Jack-8 | 1–4 | 20.00% |
| no0d3lZ vs Devil Jin | 2–3 | 40.00% |
| no0d3lZ vs Leo | 1–4 | 20.00% |
| no0d3lZ vs Alisa | 2–3 | 40.00% |
| no0d3lZ vs Lee | 1–4 | 20.00% |
| no0d3lZ vs Paul | 2–2 | 50.00% |
| no0d3lZ vs Zafina | 3–1 | 75.00% |
| no0d3lZ vs Azucena | 2–1 | 66.67% |
| no0d3lZ vs Miary Zo | 0–3 | 0.00% |
| no0d3lZ vs Shaheen | 0–2 | 0.00% |
| no0d3lZ vs Feng | 0–1 | 0.00% |
| no0d3lZ vs Panda | 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.