| white vs Kazuya | 34–30 | 53.12% |
| white vs King | 14–22 | 38.89% |
| white vs Paul | 20–11 | 64.52% |
| white vs Jin | 12–11 | 52.17% |
| white vs Reina | 15–8 | 65.22% |
| white vs Hwoarang | 14–8 | 63.64% |
| white vs Bryan | 14–8 | 63.64% |
| white vs Dragunov | 13–9 | 59.09% |
| white vs Armor King | 14–8 | 63.64% |
| white vs Lili | 13–8 | 61.90% |
| white vs Miary Zo | 8–11 | 42.11% |
| white vs Asuka | 6–12 | 33.33% |
| white vs Jun | 12–5 | 70.59% |
| white vs Law | 9–7 | 56.25% |
| white vs Steve | 9–7 | 56.25% |
| white vs Xiaoyu | 8–7 | 53.33% |
| white vs Clive | 4–10 | 28.57% |
| white vs Devil Jin | 8–5 | 61.54% |
| white vs Feng | 11–2 | 84.62% |
| white vs Heihachi | 10–3 | 76.92% |
| white vs Eddy | 4–7 | 36.36% |
| white vs Victor | 4–6 | 40.00% |
| white vs Nina | 4–5 | 44.44% |
| white vs Leroy | 2–7 | 22.22% |
| white vs Lars | 5–3 | 62.50% |
| white vs Azucena | 5–3 | 62.50% |
| white vs Lidia | 5–3 | 62.50% |
| white vs Alisa | 2–5 | 28.57% |
| white vs Jack-8 | 3–3 | 50.00% |
| white vs Kuma | 3–3 | 50.00% |
| white vs Zafina | 3–3 | 50.00% |
| white vs Yoshimitsu | 3–2 | 60.00% |
| white vs Raven | 3–2 | 60.00% |
| white vs Anna | 1–4 | 20.00% |
| white vs Claudio | 1–3 | 25.00% |
| white vs Lee | 0–2 | 0.00% |
| white vs Fahkumram | 2–0 | 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.