| GigaSigma vs Jin | 19–34 | 35.85% |
| GigaSigma vs Reina | 26–17 | 60.47% |
| GigaSigma vs King | 22–20 | 52.38% |
| GigaSigma vs Kazuya | 16–22 | 42.11% |
| GigaSigma vs Hwoarang | 11–24 | 31.43% |
| GigaSigma vs Paul | 14–16 | 46.67% |
| GigaSigma vs Clive | 17–12 | 58.62% |
| GigaSigma vs Yoshimitsu | 13–11 | 54.17% |
| GigaSigma vs Steve | 16–7 | 69.57% |
| GigaSigma vs Dragunov | 12–11 | 52.17% |
| GigaSigma vs Bryan | 7–13 | 35.00% |
| GigaSigma vs Law | 12–6 | 66.67% |
| GigaSigma vs Azucena | 9–9 | 50.00% |
| GigaSigma vs Alisa | 5–12 | 29.41% |
| GigaSigma vs Heihachi | 9–7 | 56.25% |
| GigaSigma vs Feng | 7–8 | 46.67% |
| GigaSigma vs Eddy | 6–9 | 40.00% |
| GigaSigma vs Anna | 9–6 | 60.00% |
| GigaSigma vs Lars | 6–7 | 46.15% |
| GigaSigma vs Claudio | 6–7 | 46.15% |
| GigaSigma vs Nina | 7–6 | 53.85% |
| GigaSigma vs Victor | 3–10 | 23.08% |
| GigaSigma vs Lidia | 4–7 | 36.36% |
| GigaSigma vs Xiaoyu | 7–3 | 70.00% |
| GigaSigma vs Lili | 2–8 | 20.00% |
| GigaSigma vs Jun | 5–5 | 50.00% |
| GigaSigma vs Raven | 3–7 | 30.00% |
| GigaSigma vs Armor King | 6–4 | 60.00% |
| GigaSigma vs Asuka | 6–3 | 66.67% |
| GigaSigma vs Leo | 1–8 | 11.11% |
| GigaSigma vs Kuma | 1–7 | 12.50% |
| GigaSigma vs Jack-8 | 4–3 | 57.14% |
| GigaSigma vs Devil Jin | 1–5 | 16.67% |
| GigaSigma vs Lee | 4–2 | 66.67% |
| GigaSigma vs Zafina | 2–4 | 33.33% |
| GigaSigma vs Shaheen | 1–4 | 20.00% |
| GigaSigma vs Panda | 2–2 | 50.00% |
| GigaSigma vs Leroy | 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.