| Decker0ne vs King | 48–66 | 42.11% |
| Decker0ne vs Jin | 46–56 | 45.10% |
| Decker0ne vs Reina | 38–61 | 38.38% |
| Decker0ne vs Steve | 37–41 | 47.44% |
| Decker0ne vs Kazuya | 28–49 | 36.36% |
| Decker0ne vs Heihachi | 30–43 | 41.10% |
| Decker0ne vs Hwoarang | 29–42 | 40.85% |
| Decker0ne vs Law | 27–35 | 43.55% |
| Decker0ne vs Clive | 17–39 | 30.36% |
| Decker0ne vs Dragunov | 28–25 | 52.83% |
| Decker0ne vs Nina | 21–30 | 41.18% |
| Decker0ne vs Lili | 17–32 | 34.69% |
| Decker0ne vs Eddy | 12–34 | 26.09% |
| Decker0ne vs Bryan | 24–21 | 53.33% |
| Decker0ne vs Asuka | 14–29 | 32.56% |
| Decker0ne vs Lee | 17–26 | 39.53% |
| Decker0ne vs Yoshimitsu | 13–28 | 31.71% |
| Decker0ne vs Victor | 15–26 | 36.59% |
| Decker0ne vs Jun | 14–21 | 40.00% |
| Decker0ne vs Lidia | 12–23 | 34.29% |
| Decker0ne vs Devil Jin | 17–11 | 60.71% |
| Decker0ne vs Paul | 6–20 | 23.08% |
| Decker0ne vs Azucena | 8–16 | 33.33% |
| Decker0ne vs Lars | 8–15 | 34.78% |
| Decker0ne vs Anna | 10–11 | 47.62% |
| Decker0ne vs Feng | 5–15 | 25.00% |
| Decker0ne vs Xiaoyu | 8–10 | 44.44% |
| Decker0ne vs Leroy | 6–12 | 33.33% |
| Decker0ne vs Jack-8 | 3–13 | 18.75% |
| Decker0ne vs Alisa | 5–9 | 35.71% |
| Decker0ne vs Zafina | 4–10 | 28.57% |
| Decker0ne vs Raven | 5–6 | 45.45% |
| Decker0ne vs Claudio | 5–5 | 50.00% |
| Decker0ne vs Leo | 4–4 | 50.00% |
| Decker0ne vs Shaheen | 1–5 | 16.67% |
| Decker0ne vs Kuma | 2–0 | 100.00% |
| Decker0ne vs Armor King | 2–0 | 100.00% |
| Decker0ne vs Panda | 0–1 | 0.00% |
| Decker0ne vs Miary Zo | 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.