| Whinny vs Steve | 14–5 | 73.68% |
| Whinny vs King | 8–6 | 57.14% |
| Whinny vs Hwoarang | 10–4 | 71.43% |
| Whinny vs Fahkumram | 11–3 | 78.57% |
| Whinny vs Jun | 6–6 | 50.00% |
| Whinny vs Reina | 10–2 | 83.33% |
| Whinny vs Jin | 5–6 | 45.45% |
| Whinny vs Law | 5–4 | 55.56% |
| Whinny vs Bryan | 5–4 | 55.56% |
| Whinny vs Lidia | 6–3 | 66.67% |
| Whinny vs Paul | 4–4 | 50.00% |
| Whinny vs Kazuya | 2–6 | 25.00% |
| Whinny vs Lili | 4–3 | 57.14% |
| Whinny vs Yoshimitsu | 2–3 | 40.00% |
| Whinny vs Asuka | 3–2 | 60.00% |
| Whinny vs Dragunov | 5–0 | 100.00% |
| Whinny vs Heihachi | 4–1 | 80.00% |
| Whinny vs Lee | 3–1 | 75.00% |
| Whinny vs Panda | 2–2 | 50.00% |
| Whinny vs Raven | 0–4 | 0.00% |
| Whinny vs Xiaoyu | 1–2 | 33.33% |
| Whinny vs Kuma | 2–1 | 66.67% |
| Whinny vs Azucena | 1–2 | 33.33% |
| Whinny vs Clive | 1–2 | 33.33% |
| Whinny vs Devil Jin | 0–2 | 0.00% |
| Whinny vs Lars | 2–0 | 100.00% |
| Whinny vs Nina | 1–1 | 50.00% |
| Whinny vs Zafina | 1–1 | 50.00% |
| Whinny vs Leroy | 2–0 | 100.00% |
| Whinny vs Miary Zo | 0–2 | 0.00% |
| Whinny vs Jack-8 | 0–1 | 0.00% |
| Whinny vs Leo | 0–1 | 0.00% |
| Whinny vs Alisa | 0–1 | 0.00% |
| Whinny vs Shaheen | 1–0 | 100.00% |
| Whinny vs Victor | 1–0 | 100.00% |
| Whinny vs Eddy | 1–0 | 100.00% |
| Whinny vs Anna | 1–0 | 100.00% |
| Whinny vs Armor King | 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.