| Lost vs Jin | 24–29 | 45.28% |
| Lost vs Steve | 18–23 | 43.90% |
| Lost vs King | 15–25 | 37.50% |
| Lost vs Kazuya | 21–17 | 55.26% |
| Lost vs Dragunov | 7–15 | 31.82% |
| Lost vs Law | 6–15 | 28.57% |
| Lost vs Yoshimitsu | 12–7 | 63.16% |
| Lost vs Hwoarang | 7–12 | 36.84% |
| Lost vs Lars | 3–16 | 15.79% |
| Lost vs Reina | 9–9 | 50.00% |
| Lost vs Azucena | 7–10 | 41.18% |
| Lost vs Jun | 7–9 | 43.75% |
| Lost vs Lili | 6–8 | 42.86% |
| Lost vs Lidia | 7–6 | 53.85% |
| Lost vs Devil Jin | 6–5 | 54.55% |
| Lost vs Kuma | 6–5 | 54.55% |
| Lost vs Anna | 4–7 | 36.36% |
| Lost vs Armor King | 2–9 | 18.18% |
| Lost vs Victor | 7–2 | 77.78% |
| Lost vs Asuka | 7–1 | 87.50% |
| Lost vs Nina | 4–4 | 50.00% |
| Lost vs Lee | 2–6 | 25.00% |
| Lost vs Leroy | 3–5 | 37.50% |
| Lost vs Eddy | 4–4 | 50.00% |
| Lost vs Clive | 1–7 | 12.50% |
| Lost vs Heihachi | 2–5 | 28.57% |
| Lost vs Paul | 2–4 | 33.33% |
| Lost vs Bryan | 0–6 | 0.00% |
| Lost vs Xiaoyu | 4–1 | 80.00% |
| Lost vs Feng | 4–1 | 80.00% |
| Lost vs Leo | 2–3 | 40.00% |
| Lost vs Panda | 2–3 | 40.00% |
| Lost vs Jack-8 | 4–0 | 100.00% |
| Lost vs Alisa | 0–4 | 0.00% |
| Lost vs Claudio | 3–1 | 75.00% |
| Lost vs Shaheen | 3–1 | 75.00% |
| Lost vs Miary Zo | 2–2 | 50.00% |
| Lost vs Raven | 1–2 | 33.33% |
| Lost vs Zafina | 2–0 | 100.00% |
| Lost vs Fahkumram | 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.