| GiGiDaG003 vs Jin | 92–89 | 50.83% |
| GiGiDaG003 vs Kazuya | 81–86 | 48.50% |
| GiGiDaG003 vs Hwoarang | 57–78 | 42.22% |
| GiGiDaG003 vs Bryan | 57–69 | 45.24% |
| GiGiDaG003 vs Steve | 49–62 | 44.14% |
| GiGiDaG003 vs King | 41–65 | 38.68% |
| GiGiDaG003 vs Reina | 54–52 | 50.94% |
| GiGiDaG003 vs Law | 33–50 | 39.76% |
| GiGiDaG003 vs Dragunov | 29–51 | 36.25% |
| GiGiDaG003 vs Devil Jin | 39–33 | 54.17% |
| GiGiDaG003 vs Lili | 32–40 | 44.44% |
| GiGiDaG003 vs Yoshimitsu | 34–35 | 49.28% |
| GiGiDaG003 vs Lars | 24–40 | 37.50% |
| GiGiDaG003 vs Feng | 23–37 | 38.33% |
| GiGiDaG003 vs Jun | 31–27 | 53.45% |
| GiGiDaG003 vs Asuka | 21–33 | 38.89% |
| GiGiDaG003 vs Paul | 26–27 | 49.06% |
| GiGiDaG003 vs Xiaoyu | 26–27 | 49.06% |
| GiGiDaG003 vs Eddy | 23–29 | 44.23% |
| GiGiDaG003 vs Heihachi | 22–30 | 42.31% |
| GiGiDaG003 vs Clive | 18–33 | 35.29% |
| GiGiDaG003 vs Jack-8 | 28–21 | 57.14% |
| GiGiDaG003 vs Azucena | 23–22 | 51.11% |
| GiGiDaG003 vs Lee | 24–16 | 60.00% |
| GiGiDaG003 vs Lidia | 19–21 | 47.50% |
| GiGiDaG003 vs Leroy | 18–21 | 46.15% |
| GiGiDaG003 vs Raven | 18–17 | 51.43% |
| GiGiDaG003 vs Victor | 21–10 | 67.74% |
| GiGiDaG003 vs Nina | 12–15 | 44.44% |
| GiGiDaG003 vs Leo | 12–14 | 46.15% |
| GiGiDaG003 vs Alisa | 12–14 | 46.15% |
| GiGiDaG003 vs Claudio | 7–12 | 36.84% |
| GiGiDaG003 vs Shaheen | 2–12 | 14.29% |
| GiGiDaG003 vs Kuma | 6–8 | 42.86% |
| GiGiDaG003 vs Panda | 6–7 | 46.15% |
| GiGiDaG003 vs Zafina | 3–8 | 27.27% |
| GiGiDaG003 vs Anna | 1–7 | 12.50% |
| GiGiDaG003 vs Fahkumram | 4–4 | 50.00% |
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.