| Gamergirl0310 vs Jin | 16–5 | 76.19% |
| Gamergirl0310 vs Reina | 9–7 | 56.25% |
| Gamergirl0310 vs King | 11–4 | 73.33% |
| Gamergirl0310 vs Hwoarang | 9–5 | 64.29% |
| Gamergirl0310 vs Lidia | 10–3 | 76.92% |
| Gamergirl0310 vs Miary Zo | 6–7 | 46.15% |
| Gamergirl0310 vs Lars | 8–3 | 72.73% |
| Gamergirl0310 vs Leroy | 9–2 | 81.82% |
| Gamergirl0310 vs Eddy | 9–2 | 81.82% |
| Gamergirl0310 vs Bryan | 4–6 | 40.00% |
| Gamergirl0310 vs Armor King | 7–3 | 70.00% |
| Gamergirl0310 vs Steve | 7–2 | 77.78% |
| Gamergirl0310 vs Feng | 4–5 | 44.44% |
| Gamergirl0310 vs Jun | 4–4 | 50.00% |
| Gamergirl0310 vs Kazuya | 4–3 | 57.14% |
| Gamergirl0310 vs Lili | 6–1 | 85.71% |
| Gamergirl0310 vs Alisa | 4–3 | 57.14% |
| Gamergirl0310 vs Law | 3–3 | 50.00% |
| Gamergirl0310 vs Dragunov | 1–5 | 16.67% |
| Gamergirl0310 vs Nina | 1–5 | 16.67% |
| Gamergirl0310 vs Yoshimitsu | 2–3 | 40.00% |
| Gamergirl0310 vs Shaheen | 4–1 | 80.00% |
| Gamergirl0310 vs Lee | 4–1 | 80.00% |
| Gamergirl0310 vs Azucena | 2–3 | 40.00% |
| Gamergirl0310 vs Raven | 2–3 | 40.00% |
| Gamergirl0310 vs Claudio | 1–3 | 25.00% |
| Gamergirl0310 vs Paul | 1–2 | 33.33% |
| Gamergirl0310 vs Asuka | 0–3 | 0.00% |
| Gamergirl0310 vs Devil Jin | 2–1 | 66.67% |
| Gamergirl0310 vs Leo | 3–0 | 100.00% |
| Gamergirl0310 vs Victor | 3–0 | 100.00% |
| Gamergirl0310 vs Zafina | 2–0 | 100.00% |
| Gamergirl0310 vs Heihachi | 2–0 | 100.00% |
| Gamergirl0310 vs Clive | 2–0 | 100.00% |
| Gamergirl0310 vs Anna | 0–2 | 0.00% |
| Gamergirl0310 vs Xiaoyu | 0–1 | 0.00% |
| Gamergirl0310 vs Kuma | 1–0 | 100.00% |
| Gamergirl0310 vs Fahkumram | 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.