| deko61 vs Hwoarang | 14–19 | 42.42% |
| deko61 vs King | 13–11 | 54.17% |
| deko61 vs Kazuya | 12–10 | 54.55% |
| deko61 vs Lili | 9–11 | 45.00% |
| deko61 vs Steve | 9–10 | 47.37% |
| deko61 vs Victor | 8–11 | 42.11% |
| deko61 vs Law | 8–10 | 44.44% |
| deko61 vs Dragunov | 8–10 | 44.44% |
| deko61 vs Heihachi | 8–10 | 44.44% |
| deko61 vs Armor King | 2–16 | 11.11% |
| deko61 vs Miary Zo | 8–10 | 44.44% |
| deko61 vs Yoshimitsu | 6–11 | 35.29% |
| deko61 vs Bryan | 6–9 | 40.00% |
| deko61 vs Asuka | 6–8 | 42.86% |
| deko61 vs Devil Jin | 9–5 | 64.29% |
| deko61 vs Reina | 9–5 | 64.29% |
| deko61 vs Alisa | 3–10 | 23.08% |
| deko61 vs Jun | 5–8 | 38.46% |
| deko61 vs Paul | 9–3 | 75.00% |
| deko61 vs Jin | 2–8 | 20.00% |
| deko61 vs Nina | 4–3 | 57.14% |
| deko61 vs Azucena | 4–3 | 57.14% |
| deko61 vs Shaheen | 4–2 | 66.67% |
| deko61 vs Claudio | 3–2 | 60.00% |
| deko61 vs Eddy | 0–5 | 0.00% |
| deko61 vs Xiaoyu | 3–1 | 75.00% |
| deko61 vs Feng | 4–0 | 100.00% |
| deko61 vs Leroy | 1–3 | 25.00% |
| deko61 vs Lidia | 0–4 | 0.00% |
| deko61 vs Anna | 1–3 | 25.00% |
| deko61 vs Jack-8 | 2–1 | 66.67% |
| deko61 vs Leo | 3–0 | 100.00% |
| deko61 vs Lars | 0–3 | 0.00% |
| deko61 vs Fahkumram | 3–0 | 100.00% |
| deko61 vs Kuma | 0–2 | 0.00% |
| deko61 vs Panda | 0–2 | 0.00% |
| deko61 vs Clive | 2–0 | 100.00% |
| deko61 vs Raven | 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.