| DuckisRuckis vs Armor King | 9–20 | 31.03% |
| DuckisRuckis vs King | 10–13 | 43.48% |
| DuckisRuckis vs Bryan | 6–9 | 40.00% |
| DuckisRuckis vs Law | 5–9 | 35.71% |
| DuckisRuckis vs Reina | 6–3 | 66.67% |
| DuckisRuckis vs Xiaoyu | 6–2 | 75.00% |
| DuckisRuckis vs Dragunov | 5–3 | 62.50% |
| DuckisRuckis vs Heihachi | 7–1 | 87.50% |
| DuckisRuckis vs Jin | 3–3 | 50.00% |
| DuckisRuckis vs Raven | 2–4 | 33.33% |
| DuckisRuckis vs Lidia | 3–3 | 50.00% |
| DuckisRuckis vs Clive | 6–0 | 100.00% |
| DuckisRuckis vs Yoshimitsu | 3–2 | 60.00% |
| DuckisRuckis vs Kazuya | 1–4 | 20.00% |
| DuckisRuckis vs Leo | 4–0 | 100.00% |
| DuckisRuckis vs Lars | 2–2 | 50.00% |
| DuckisRuckis vs Jun | 2–2 | 50.00% |
| DuckisRuckis vs Eddy | 1–3 | 25.00% |
| DuckisRuckis vs Devil Jin | 2–1 | 66.67% |
| DuckisRuckis vs Feng | 1–2 | 33.33% |
| DuckisRuckis vs Azucena | 1–2 | 33.33% |
| DuckisRuckis vs Fahkumram | 0–3 | 0.00% |
| DuckisRuckis vs Hwoarang | 0–2 | 0.00% |
| DuckisRuckis vs Steve | 0–2 | 0.00% |
| DuckisRuckis vs Asuka | 2–0 | 100.00% |
| DuckisRuckis vs Lili | 0–2 | 0.00% |
| DuckisRuckis vs Claudio | 0–2 | 0.00% |
| DuckisRuckis vs Leroy | 0–2 | 0.00% |
| DuckisRuckis vs Victor | 0–2 | 0.00% |
| DuckisRuckis vs Jack-8 | 0–1 | 0.00% |
| DuckisRuckis vs Alisa | 1–0 | 100.00% |
| DuckisRuckis vs Nina | 0–1 | 0.00% |
| DuckisRuckis vs Anna | 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.