| Gym01 vs Dragunov | 29–2 | 93.55% |
| Gym01 vs Kazuya | 30–0 | 100.00% |
| Gym01 vs King | 18–0 | 100.00% |
| Gym01 vs Reina | 12–4 | 75.00% |
| Gym01 vs Armor King | 14–2 | 87.50% |
| Gym01 vs Alisa | 15–0 | 100.00% |
| Gym01 vs Yoshimitsu | 14–0 | 100.00% |
| Gym01 vs Hwoarang | 14–0 | 100.00% |
| Gym01 vs Jin | 13–1 | 92.86% |
| Gym01 vs Steve | 12–2 | 85.71% |
| Gym01 vs Azucena | 14–0 | 100.00% |
| Gym01 vs Heihachi | 12–1 | 92.31% |
| Gym01 vs Miary Zo | 13–0 | 100.00% |
| Gym01 vs Law | 10–1 | 90.91% |
| Gym01 vs Xiaoyu | 10–1 | 90.91% |
| Gym01 vs Leo | 4–6 | 40.00% |
| Gym01 vs Lee | 10–0 | 100.00% |
| Gym01 vs Clive | 10–0 | 100.00% |
| Gym01 vs Paul | 9–0 | 100.00% |
| Gym01 vs Claudio | 8–1 | 88.89% |
| Gym01 vs Eddy | 9–0 | 100.00% |
| Gym01 vs Bryan | 8–0 | 100.00% |
| Gym01 vs Asuka | 8–0 | 100.00% |
| Gym01 vs Lili | 7–0 | 100.00% |
| Gym01 vs Nina | 6–0 | 100.00% |
| Gym01 vs Jun | 6–0 | 100.00% |
| Gym01 vs Raven | 3–2 | 60.00% |
| Gym01 vs Devil Jin | 4–0 | 100.00% |
| Gym01 vs Feng | 4–0 | 100.00% |
| Gym01 vs Kuma | 4–0 | 100.00% |
| Gym01 vs Lidia | 4–0 | 100.00% |
| Gym01 vs Victor | 3–0 | 100.00% |
| Gym01 vs Fahkumram | 3–0 | 100.00% |
| Gym01 vs Jack-8 | 2–0 | 100.00% |
| Gym01 vs Shaheen | 2–0 | 100.00% |
| Gym01 vs Lars | 1–0 | 100.00% |
| Gym01 vs Panda | 1–0 | 100.00% |
| Gym01 vs Zafina | 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.