| D3ATH0V3RL0RD vs Bryan | 2–6 | 25.00% |
| D3ATH0V3RL0RD vs Miary Zo | 8–0 | 100.00% |
| D3ATH0V3RL0RD vs Dragunov | 4–3 | 57.14% |
| D3ATH0V3RL0RD vs Kazuya | 3–3 | 50.00% |
| D3ATH0V3RL0RD vs Eddy | 4–1 | 80.00% |
| D3ATH0V3RL0RD vs Armor King | 3–2 | 60.00% |
| D3ATH0V3RL0RD vs Law | 3–1 | 75.00% |
| D3ATH0V3RL0RD vs Yoshimitsu | 3–1 | 75.00% |
| D3ATH0V3RL0RD vs Hwoarang | 3–1 | 75.00% |
| D3ATH0V3RL0RD vs Xiaoyu | 1–3 | 25.00% |
| D3ATH0V3RL0RD vs Steve | 2–2 | 50.00% |
| D3ATH0V3RL0RD vs Jun | 3–1 | 75.00% |
| D3ATH0V3RL0RD vs Raven | 3–1 | 75.00% |
| D3ATH0V3RL0RD vs Jin | 1–2 | 33.33% |
| D3ATH0V3RL0RD vs Claudio | 2–1 | 66.67% |
| D3ATH0V3RL0RD vs Reina | 1–2 | 33.33% |
| D3ATH0V3RL0RD vs Heihachi | 3–0 | 100.00% |
| D3ATH0V3RL0RD vs Clive | 3–0 | 100.00% |
| D3ATH0V3RL0RD vs King | 2–0 | 100.00% |
| D3ATH0V3RL0RD vs Jack-8 | 0–2 | 0.00% |
| D3ATH0V3RL0RD vs Devil Jin | 1–1 | 50.00% |
| D3ATH0V3RL0RD vs Feng | 2–0 | 100.00% |
| D3ATH0V3RL0RD vs Leroy | 2–0 | 100.00% |
| D3ATH0V3RL0RD vs Victor | 2–0 | 100.00% |
| D3ATH0V3RL0RD vs Anna | 2–0 | 100.00% |
| D3ATH0V3RL0RD vs Asuka | 0–1 | 0.00% |
| D3ATH0V3RL0RD vs Lili | 1–0 | 100.00% |
| D3ATH0V3RL0RD vs Leo | 1–0 | 100.00% |
| D3ATH0V3RL0RD vs Lars | 1–0 | 100.00% |
| D3ATH0V3RL0RD vs Alisa | 1–0 | 100.00% |
| D3ATH0V3RL0RD vs Azucena | 0–1 | 0.00% |
| D3ATH0V3RL0RD vs Lidia | 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.