| motel vs King | 32–23 | 58.18% |
| motel vs Bryan | 24–18 | 57.14% |
| motel vs Kazuya | 18–20 | 47.37% |
| motel vs Jin | 12–21 | 36.36% |
| motel vs Lili | 15–18 | 45.45% |
| motel vs Reina | 21–12 | 63.64% |
| motel vs Dragunov | 17–15 | 53.12% |
| motel vs Victor | 17–15 | 53.12% |
| motel vs Steve | 14–10 | 58.33% |
| motel vs Jun | 13–11 | 54.17% |
| motel vs Devil Jin | 10–12 | 45.45% |
| motel vs Lee | 18–3 | 85.71% |
| motel vs Hwoarang | 6–14 | 30.00% |
| motel vs Fahkumram | 10–9 | 52.63% |
| motel vs Lars | 6–10 | 37.50% |
| motel vs Paul | 9–6 | 60.00% |
| motel vs Asuka | 11–4 | 73.33% |
| motel vs Yoshimitsu | 7–7 | 50.00% |
| motel vs Feng | 8–6 | 57.14% |
| motel vs Shaheen | 3–10 | 23.08% |
| motel vs Leroy | 7–5 | 58.33% |
| motel vs Raven | 7–5 | 58.33% |
| motel vs Xiaoyu | 4–7 | 36.36% |
| motel vs Alisa | 4–6 | 40.00% |
| motel vs Zafina | 8–2 | 80.00% |
| motel vs Claudio | 3–6 | 33.33% |
| motel vs Law | 5–3 | 62.50% |
| motel vs Eddy | 1–6 | 14.29% |
| motel vs Clive | 4–3 | 57.14% |
| motel vs Azucena | 4–2 | 66.67% |
| motel vs Nina | 5–0 | 100.00% |
| motel vs Heihachi | 3–2 | 60.00% |
| motel vs Anna | 4–0 | 100.00% |
| motel vs Kuma | 0–3 | 0.00% |
| motel vs Lidia | 0–3 | 0.00% |
| motel vs Jack-8 | 1–1 | 50.00% |
| motel vs Leo | 0–2 | 0.00% |
| motel vs Panda | 0–2 | 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.