| GTOWN vs Kazuya | 15–22 | 40.54% |
| GTOWN vs Steve | 20–17 | 54.05% |
| GTOWN vs King | 16–20 | 44.44% |
| GTOWN vs Jin | 16–20 | 44.44% |
| GTOWN vs Bryan | 16–12 | 57.14% |
| GTOWN vs Reina | 17–9 | 65.38% |
| GTOWN vs Eddy | 11–14 | 44.00% |
| GTOWN vs Azucena | 12–10 | 54.55% |
| GTOWN vs Hwoarang | 8–13 | 38.10% |
| GTOWN vs Armor King | 7–14 | 33.33% |
| GTOWN vs Dragunov | 7–13 | 35.00% |
| GTOWN vs Lili | 10–9 | 52.63% |
| GTOWN vs Lars | 9–10 | 47.37% |
| GTOWN vs Devil Jin | 8–9 | 47.06% |
| GTOWN vs Lidia | 5–12 | 29.41% |
| GTOWN vs Paul | 6–7 | 46.15% |
| GTOWN vs Asuka | 6–7 | 46.15% |
| GTOWN vs Kuma | 8–5 | 61.54% |
| GTOWN vs Heihachi | 8–5 | 61.54% |
| GTOWN vs Lee | 5–7 | 41.67% |
| GTOWN vs Law | 7–4 | 63.64% |
| GTOWN vs Jack-8 | 3–8 | 27.27% |
| GTOWN vs Feng | 4–7 | 36.36% |
| GTOWN vs Victor | 5–6 | 45.45% |
| GTOWN vs Miary Zo | 7–4 | 63.64% |
| GTOWN vs Xiaoyu | 7–3 | 70.00% |
| GTOWN vs Leo | 6–4 | 60.00% |
| GTOWN vs Jun | 7–1 | 87.50% |
| GTOWN vs Alisa | 4–3 | 57.14% |
| GTOWN vs Nina | 2–5 | 28.57% |
| GTOWN vs Leroy | 4–3 | 57.14% |
| GTOWN vs Fahkumram | 3–4 | 42.86% |
| GTOWN vs Clive | 5–1 | 83.33% |
| GTOWN vs Shaheen | 3–2 | 60.00% |
| GTOWN vs Panda | 3–2 | 60.00% |
| GTOWN vs Anna | 2–2 | 50.00% |
| GTOWN vs Yoshimitsu | 1–2 | 33.33% |
| GTOWN vs Claudio | 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.