| TEST vs Jin | 36–5 | 87.80% |
| TEST vs Kazuya | 26–12 | 68.42% |
| TEST vs Bryan | 21–14 | 60.00% |
| TEST vs Steve | 20–14 | 58.82% |
| TEST vs Hwoarang | 22–11 | 66.67% |
| TEST vs King | 24–7 | 77.42% |
| TEST vs Reina | 14–17 | 45.16% |
| TEST vs Law | 21–8 | 72.41% |
| TEST vs Dragunov | 15–12 | 55.56% |
| TEST vs Asuka | 15–8 | 65.22% |
| TEST vs Lars | 15–8 | 65.22% |
| TEST vs Leroy | 7–16 | 30.43% |
| TEST vs Paul | 13–8 | 61.90% |
| TEST vs Lili | 10–10 | 50.00% |
| TEST vs Eddy | 11–9 | 55.00% |
| TEST vs Yoshimitsu | 4–15 | 21.05% |
| TEST vs Leo | 10–8 | 55.56% |
| TEST vs Victor | 11–7 | 61.11% |
| TEST vs Heihachi | 13–5 | 72.22% |
| TEST vs Feng | 9–7 | 56.25% |
| TEST vs Lee | 7–8 | 46.67% |
| TEST vs Jun | 8–6 | 57.14% |
| TEST vs Raven | 11–3 | 78.57% |
| TEST vs Devil Jin | 8–5 | 61.54% |
| TEST vs Jack-8 | 6–5 | 54.55% |
| TEST vs Claudio | 8–3 | 72.73% |
| TEST vs Kuma | 5–5 | 50.00% |
| TEST vs Azucena | 6–4 | 60.00% |
| TEST vs Fahkumram | 7–3 | 70.00% |
| TEST vs Xiaoyu | 3–6 | 33.33% |
| TEST vs Nina | 1–8 | 11.11% |
| TEST vs Miary Zo | 7–1 | 87.50% |
| TEST vs Alisa | 4–2 | 66.67% |
| TEST vs Zafina | 1–4 | 20.00% |
| TEST vs Shaheen | 2–2 | 50.00% |
| TEST vs Clive | 4–0 | 100.00% |
| TEST vs Lidia | 3–0 | 100.00% |
| TEST vs Panda | 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.