| DeeepDish vs Kazuya | 17–4 | 80.95% |
| DeeepDish vs Reina | 18–3 | 85.71% |
| DeeepDish vs Hwoarang | 10–6 | 62.50% |
| DeeepDish vs Lidia | 12–2 | 85.71% |
| DeeepDish vs King | 12–1 | 92.31% |
| DeeepDish vs Law | 10–1 | 90.91% |
| DeeepDish vs Yoshimitsu | 5–6 | 45.45% |
| DeeepDish vs Steve | 8–2 | 80.00% |
| DeeepDish vs Zafina | 9–1 | 90.00% |
| DeeepDish vs Bryan | 6–2 | 75.00% |
| DeeepDish vs Victor | 4–4 | 50.00% |
| DeeepDish vs Heihachi | 3–5 | 37.50% |
| DeeepDish vs Paul | 4–3 | 57.14% |
| DeeepDish vs Eddy | 5–2 | 71.43% |
| DeeepDish vs Jin | 5–1 | 83.33% |
| DeeepDish vs Clive | 5–1 | 83.33% |
| DeeepDish vs Lili | 4–0 | 100.00% |
| DeeepDish vs Dragunov | 2–2 | 50.00% |
| DeeepDish vs Lars | 2–2 | 50.00% |
| DeeepDish vs Lee | 4–0 | 100.00% |
| DeeepDish vs Kuma | 3–1 | 75.00% |
| DeeepDish vs Jun | 2–2 | 50.00% |
| DeeepDish vs Azucena | 2–2 | 50.00% |
| DeeepDish vs Fahkumram | 2–2 | 50.00% |
| DeeepDish vs Xiaoyu | 3–0 | 100.00% |
| DeeepDish vs Jack-8 | 2–1 | 66.67% |
| DeeepDish vs Feng | 2–1 | 66.67% |
| DeeepDish vs Shaheen | 2–1 | 66.67% |
| DeeepDish vs Asuka | 2–0 | 100.00% |
| DeeepDish vs Leo | 2–0 | 100.00% |
| DeeepDish vs Panda | 2–0 | 100.00% |
| DeeepDish vs Claudio | 1–0 | 100.00% |
| DeeepDish vs Nina | 1–0 | 100.00% |
| DeeepDish 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.