| REMA vs Hwoarang | 30–13 | 69.77% |
| REMA vs Dragunov | 22–19 | 53.66% |
| REMA vs Paul | 25–14 | 64.10% |
| REMA vs Bryan | 18–20 | 47.37% |
| REMA vs Kazuya | 22–15 | 59.46% |
| REMA vs Asuka | 15–16 | 48.39% |
| REMA vs Jin | 20–10 | 66.67% |
| REMA vs Steve | 13–15 | 46.43% |
| REMA vs Anna | 11–11 | 50.00% |
| REMA vs Yoshimitsu | 9–12 | 42.86% |
| REMA vs Jack-8 | 9–11 | 45.00% |
| REMA vs Reina | 11–9 | 55.00% |
| REMA vs Heihachi | 10–10 | 50.00% |
| REMA vs Lili | 11–8 | 57.89% |
| REMA vs Alisa | 18–1 | 94.74% |
| REMA vs Clive | 14–5 | 73.68% |
| REMA vs Jun | 11–7 | 61.11% |
| REMA vs Azucena | 12–5 | 70.59% |
| REMA vs Law | 8–8 | 50.00% |
| REMA vs King | 10–6 | 62.50% |
| REMA vs Lars | 12–4 | 75.00% |
| REMA vs Leo | 5–10 | 33.33% |
| REMA vs Nina | 7–8 | 46.67% |
| REMA vs Fahkumram | 4–11 | 26.67% |
| REMA vs Xiaoyu | 4–10 | 28.57% |
| REMA vs Feng | 7–7 | 50.00% |
| REMA vs Devil Jin | 6–7 | 46.15% |
| REMA vs Lee | 7–4 | 63.64% |
| REMA vs Shaheen | 6–4 | 60.00% |
| REMA vs Victor | 4–6 | 40.00% |
| REMA vs Lidia | 3–7 | 30.00% |
| REMA vs Claudio | 7–2 | 77.78% |
| REMA vs Kuma | 4–3 | 57.14% |
| REMA vs Leroy | 2–4 | 33.33% |
| REMA vs Raven | 3–2 | 60.00% |
| REMA vs Armor King | 1–2 | 33.33% |
| REMA vs Zafina | 1–1 | 50.00% |
| REMA vs Panda | 0–1 | 0.00% |
| REMA vs Eddy | 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.