| REVERB vs Lars | 8–16 | 33.33% |
| REVERB vs Jin | 8–13 | 38.10% |
| REVERB vs King | 13–7 | 65.00% |
| REVERB vs Heihachi | 10–9 | 52.63% |
| REVERB vs Reina | 12–6 | 66.67% |
| REVERB vs Hwoarang | 12–5 | 70.59% |
| REVERB vs Bryan | 10–7 | 58.82% |
| REVERB vs Steve | 11–5 | 68.75% |
| REVERB vs Law | 9–5 | 64.29% |
| REVERB vs Lidia | 9–5 | 64.29% |
| REVERB vs Kazuya | 10–3 | 76.92% |
| REVERB vs Dragunov | 9–2 | 81.82% |
| REVERB vs Nina | 5–5 | 50.00% |
| REVERB vs Kuma | 6–3 | 66.67% |
| REVERB vs Victor | 5–4 | 55.56% |
| REVERB vs Asuka | 5–3 | 62.50% |
| REVERB vs Lili | 6–2 | 75.00% |
| REVERB vs Armor King | 5–3 | 62.50% |
| REVERB vs Clive | 4–3 | 57.14% |
| REVERB vs Yoshimitsu | 4–2 | 66.67% |
| REVERB vs Leo | 3–3 | 50.00% |
| REVERB vs Alisa | 6–0 | 100.00% |
| REVERB vs Paul | 5–0 | 100.00% |
| REVERB vs Xiaoyu | 2–3 | 40.00% |
| REVERB vs Fahkumram | 2–3 | 40.00% |
| REVERB vs Leroy | 2–2 | 50.00% |
| REVERB vs Azucena | 3–1 | 75.00% |
| REVERB vs Anna | 4–0 | 100.00% |
| REVERB vs Shaheen | 1–2 | 33.33% |
| REVERB vs Panda | 2–1 | 66.67% |
| REVERB vs Jun | 3–0 | 100.00% |
| REVERB vs Raven | 2–1 | 66.67% |
| REVERB vs Eddy | 1–2 | 33.33% |
| REVERB vs Miary Zo | 2–1 | 66.67% |
| REVERB vs Jack-8 | 2–0 | 100.00% |
| REVERB vs Devil Jin | 2–0 | 100.00% |
| REVERB vs Feng | 2–0 | 100.00% |
| REVERB vs Claudio | 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.