| GiGADiGA vs Lidia | 27–25 | 51.92% |
| GiGADiGA vs King | 18–30 | 37.50% |
| GiGADiGA vs Jin | 24–17 | 58.54% |
| GiGADiGA vs Reina | 25–9 | 73.53% |
| GiGADiGA vs Heihachi | 17–17 | 50.00% |
| GiGADiGA vs Jun | 10–22 | 31.25% |
| GiGADiGA vs Azucena | 10–21 | 32.26% |
| GiGADiGA vs Paul | 7–23 | 23.33% |
| GiGADiGA vs Steve | 15–14 | 51.72% |
| GiGADiGA vs Yoshimitsu | 16–11 | 59.26% |
| GiGADiGA vs Hwoarang | 10–16 | 38.46% |
| GiGADiGA vs Kazuya | 11–12 | 47.83% |
| GiGADiGA vs Bryan | 7–13 | 35.00% |
| GiGADiGA vs Asuka | 5–15 | 25.00% |
| GiGADiGA vs Dragunov | 10–8 | 55.56% |
| GiGADiGA vs Law | 2–15 | 11.76% |
| GiGADiGA vs Lee | 10–6 | 62.50% |
| GiGADiGA vs Victor | 8–8 | 50.00% |
| GiGADiGA vs Feng | 6–9 | 40.00% |
| GiGADiGA vs Leroy | 8–7 | 53.33% |
| GiGADiGA vs Lars | 8–6 | 57.14% |
| GiGADiGA vs Eddy | 9–5 | 64.29% |
| GiGADiGA vs Lili | 7–6 | 53.85% |
| GiGADiGA vs Nina | 5–7 | 41.67% |
| GiGADiGA vs Xiaoyu | 4–7 | 36.36% |
| GiGADiGA vs Alisa | 3–8 | 27.27% |
| GiGADiGA vs Kuma | 3–8 | 27.27% |
| GiGADiGA vs Zafina | 8–3 | 72.73% |
| GiGADiGA vs Leo | 3–7 | 30.00% |
| GiGADiGA vs Claudio | 2–7 | 22.22% |
| GiGADiGA vs Devil Jin | 3–5 | 37.50% |
| GiGADiGA vs Raven | 3–3 | 50.00% |
| GiGADiGA vs Jack-8 | 2–1 | 66.67% |
| GiGADiGA vs Shaheen | 2–0 | 100.00% |
| GiGADiGA vs Panda | 0–2 | 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.