| DaMor0n vs Jin | 19–30 | 38.78% |
| DaMor0n vs Reina | 19–26 | 42.22% |
| DaMor0n vs Steve | 18–23 | 43.90% |
| DaMor0n vs King | 16–22 | 42.11% |
| DaMor0n vs Hwoarang | 14–17 | 45.16% |
| DaMor0n vs Yoshimitsu | 7–22–1 | 24.14% |
| DaMor0n vs Bryan | 18–11 | 62.07% |
| DaMor0n vs Dragunov | 7–14 | 33.33% |
| DaMor0n vs Victor | 12–9 | 57.14% |
| DaMor0n vs Heihachi | 7–14 | 33.33% |
| DaMor0n vs Lili | 11–5 | 68.75% |
| DaMor0n vs Paul | 3–11 | 21.43% |
| DaMor0n vs Kazuya | 9–5 | 64.29% |
| DaMor0n vs Alisa | 2–10 | 16.67% |
| DaMor0n vs Lee | 3–9 | 25.00% |
| DaMor0n vs Azucena | 8–4 | 66.67% |
| DaMor0n vs Lars | 4–7 | 36.36% |
| DaMor0n vs Law | 3–7 | 30.00% |
| DaMor0n vs Fahkumram | 5–5 | 50.00% |
| DaMor0n vs Devil Jin | 3–6 | 33.33% |
| DaMor0n vs Clive | 6–3 | 66.67% |
| DaMor0n vs Armor King | 4–3 | 57.14% |
| DaMor0n vs Jack-8 | 4–2 | 66.67% |
| DaMor0n vs Asuka | 3–3 | 50.00% |
| DaMor0n vs Claudio | 4–2 | 66.67% |
| DaMor0n vs Nina | 1–4 | 20.00% |
| DaMor0n vs Xiaoyu | 0–4 | 0.00% |
| DaMor0n vs Lidia | 2–2 | 50.00% |
| DaMor0n vs Feng | 1–2 | 33.33% |
| DaMor0n vs Panda | 1–2 | 33.33% |
| DaMor0n vs Raven | 2–1 | 66.67% |
| DaMor0n vs Zafina | 2–0 | 100.00% |
| DaMor0n vs Leroy | 0–2 | 0.00% |
| DaMor0n vs Jun | 2–0 | 100.00% |
| DaMor0n vs Eddy | 0–2 | 0.00% |
| DaMor0n vs Anna | 0–2 | 0.00% |
| DaMor0n vs Leo | 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.