| Gelios vs Kazuya | 130–88 | 59.63% |
| Gelios vs Heihachi | 76–87 | 46.63% |
| Gelios vs Reina | 68–93 | 42.24% |
| Gelios vs Bryan | 54–81 | 40.00% |
| Gelios vs Jin | 69–57 | 54.76% |
| Gelios vs Dragunov | 38–61 | 38.38% |
| Gelios vs Hwoarang | 52–46 | 53.06% |
| Gelios vs Clive | 46–42 | 52.27% |
| Gelios vs King | 39–47 | 45.35% |
| Gelios vs Law | 41–41 | 50.00% |
| Gelios vs Paul | 33–35 | 48.53% |
| Gelios vs Steve | 30–38 | 44.12% |
| Gelios vs Lee | 32–35 | 47.76% |
| Gelios vs Lili | 33–33 | 50.00% |
| Gelios vs Devil Jin | 36–23 | 61.02% |
| Gelios vs Jun | 27–29 | 48.21% |
| Gelios vs Leo | 18–32 | 36.00% |
| Gelios vs Asuka | 18–27 | 40.00% |
| Gelios vs Alisa | 24–21 | 53.33% |
| Gelios vs Lars | 22–22 | 50.00% |
| Gelios vs Victor | 21–23 | 47.73% |
| Gelios vs Yoshimitsu | 19–24 | 44.19% |
| Gelios vs Feng | 20–22 | 47.62% |
| Gelios vs Nina | 13–29 | 30.95% |
| Gelios vs Azucena | 18–20 | 47.37% |
| Gelios vs Eddy | 20–17 | 54.05% |
| Gelios vs Jack-8 | 9–24 | 27.27% |
| Gelios vs Raven | 10–23 | 30.30% |
| Gelios vs Xiaoyu | 9–23 | 28.12% |
| Gelios vs Lidia | 18–14 | 56.25% |
| Gelios vs Claudio | 12–15 | 44.44% |
| Gelios vs Kuma | 14–13 | 51.85% |
| Gelios vs Shaheen | 11–15 | 42.31% |
| Gelios vs Leroy | 8–5 | 61.54% |
| Gelios vs Zafina | 2–6 | 25.00% |
| Gelios vs Panda | 2–0 | 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.