| GrapplerEnjoyer vs Eddy | 18–11 | 62.07% |
| GrapplerEnjoyer vs Kazuya | 10–2 | 83.33% |
| GrapplerEnjoyer vs Lidia | 10–2 | 83.33% |
| GrapplerEnjoyer vs King | 9–2 | 81.82% |
| GrapplerEnjoyer vs Alisa | 8–3 | 72.73% |
| GrapplerEnjoyer vs Leroy | 9–2 | 81.82% |
| GrapplerEnjoyer vs Hwoarang | 5–2 | 71.43% |
| GrapplerEnjoyer vs Jun | 5–2 | 71.43% |
| GrapplerEnjoyer vs Jin | 5–1 | 83.33% |
| GrapplerEnjoyer vs Steve | 5–1 | 83.33% |
| GrapplerEnjoyer vs Feng | 4–2 | 66.67% |
| GrapplerEnjoyer vs Claudio | 3–3 | 50.00% |
| GrapplerEnjoyer vs Bryan | 4–1 | 80.00% |
| GrapplerEnjoyer vs Dragunov | 2–3 | 40.00% |
| GrapplerEnjoyer vs Leo | 3–2 | 60.00% |
| GrapplerEnjoyer vs Nina | 3–2 | 60.00% |
| GrapplerEnjoyer vs Reina | 4–1 | 80.00% |
| GrapplerEnjoyer vs Law | 2–2 | 50.00% |
| GrapplerEnjoyer vs Lili | 3–1 | 75.00% |
| GrapplerEnjoyer vs Paul | 3–0 | 100.00% |
| GrapplerEnjoyer vs Devil Jin | 2–1 | 66.67% |
| GrapplerEnjoyer vs Asuka | 1–1 | 50.00% |
| GrapplerEnjoyer vs Shaheen | 2–0 | 100.00% |
| GrapplerEnjoyer vs Lee | 2–0 | 100.00% |
| GrapplerEnjoyer vs Zafina | 0–2 | 0.00% |
| GrapplerEnjoyer vs Azucena | 2–0 | 100.00% |
| GrapplerEnjoyer vs Victor | 0–2 | 0.00% |
| GrapplerEnjoyer vs Yoshimitsu | 0–1 | 0.00% |
| GrapplerEnjoyer vs Kuma | 1–0 | 100.00% |
| GrapplerEnjoyer vs Panda | 1–0 | 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.