| NLR.Dezzo1k vs King | 3–13 | 18.75% |
| NLR.Dezzo1k vs Steve | 7–9 | 43.75% |
| NLR.Dezzo1k vs Miary Zo | 0–15 | 0.00% |
| NLR.Dezzo1k vs Hwoarang | 7–6 | 53.85% |
| NLR.Dezzo1k vs Reina | 6–5 | 54.55% |
| NLR.Dezzo1k vs Kazuya | 2–8 | 20.00% |
| NLR.Dezzo1k vs Heihachi | 1–8 | 11.11% |
| NLR.Dezzo1k vs Law | 1–7 | 12.50% |
| NLR.Dezzo1k vs Asuka | 2–6 | 25.00% |
| NLR.Dezzo1k vs Lee | 2–4 | 33.33% |
| NLR.Dezzo1k vs Eddy | 3–3 | 50.00% |
| NLR.Dezzo1k vs Bryan | 1–4 | 20.00% |
| NLR.Dezzo1k vs Leo | 3–2 | 60.00% |
| NLR.Dezzo1k vs Victor | 1–4 | 20.00% |
| NLR.Dezzo1k vs Yoshimitsu | 0–4 | 0.00% |
| NLR.Dezzo1k vs Dragunov | 2–2 | 50.00% |
| NLR.Dezzo1k vs Nina | 2–2 | 50.00% |
| NLR.Dezzo1k vs Kuma | 0–4 | 0.00% |
| NLR.Dezzo1k vs Leroy | 3–1 | 75.00% |
| NLR.Dezzo1k vs Azucena | 0–4 | 0.00% |
| NLR.Dezzo1k vs Lidia | 0–4 | 0.00% |
| NLR.Dezzo1k vs Xiaoyu | 0–3 | 0.00% |
| NLR.Dezzo1k vs Jin | 0–3 | 0.00% |
| NLR.Dezzo1k vs Jack-8 | 1–2 | 33.33% |
| NLR.Dezzo1k vs Devil Jin | 1–2 | 33.33% |
| NLR.Dezzo1k vs Shaheen | 1–2 | 33.33% |
| NLR.Dezzo1k vs Jun | 1–2 | 33.33% |
| NLR.Dezzo1k vs Anna | 1–2 | 33.33% |
| NLR.Dezzo1k vs Fahkumram | 1–2 | 33.33% |
| NLR.Dezzo1k vs Lars | 0–2 | 0.00% |
| NLR.Dezzo1k vs Zafina | 0–2 | 0.00% |
| NLR.Dezzo1k vs Clive | 0–2 | 0.00% |
| NLR.Dezzo1k vs Paul | 1–0 | 100.00% |
| NLR.Dezzo1k vs Lili | 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.