| How to play vs Kazuya | 7–10 | 41.18% |
| How to play vs Hwoarang | 7–9 | 43.75% |
| How to play vs Jin | 6–6 | 50.00% |
| How to play vs Law | 5–6 | 45.45% |
| How to play vs Dragunov | 2–9 | 18.18% |
| How to play vs Jun | 6–4 | 60.00% |
| How to play vs Steve | 4–5 | 44.44% |
| How to play vs Lili | 7–2 | 77.78% |
| How to play vs Heihachi | 5–4 | 55.56% |
| How to play vs King | 3–5 | 37.50% |
| How to play vs Lee | 7–1 | 87.50% |
| How to play vs Victor | 3–4 | 42.86% |
| How to play vs Fahkumram | 4–3 | 57.14% |
| How to play vs Asuka | 3–3 | 50.00% |
| How to play vs Paul | 3–2 | 60.00% |
| How to play vs Leroy | 1–4 | 20.00% |
| How to play vs Reina | 1–4 | 20.00% |
| How to play vs Bryan | 1–3 | 25.00% |
| How to play vs Lars | 2–2 | 50.00% |
| How to play vs Nina | 2–2 | 50.00% |
| How to play vs Clive | 2–2 | 50.00% |
| How to play vs Eddy | 2–1 | 66.67% |
| How to play vs Lidia | 2–1 | 66.67% |
| How to play vs Anna | 2–1 | 66.67% |
| How to play vs Devil Jin | 1–1 | 50.00% |
| How to play vs Leo | 0–2 | 0.00% |
| How to play vs Alisa | 1–1 | 50.00% |
| How to play vs Azucena | 2–0 | 100.00% |
| How to play vs Raven | 1–1 | 50.00% |
| How to play vs Miary Zo | 2–0 | 100.00% |
| How to play vs Jack-8 | 0–1 | 0.00% |
| How to play vs Panda | 1–0 | 100.00% |
| How to play 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.