| Gillinho vs Hwoarang | 76–95 | 44.44% |
| Gillinho vs Jin | 88–80 | 52.38% |
| Gillinho vs Kazuya | 86–69 | 55.48% |
| Gillinho vs King | 62–83 | 42.76% |
| Gillinho vs Law | 94–47 | 66.67% |
| Gillinho vs Bryan | 70–68 | 50.72% |
| Gillinho vs Paul | 42–59 | 41.58% |
| Gillinho vs Steve | 46–49 | 48.42% |
| Gillinho vs Dragunov | 65–22 | 74.71% |
| Gillinho vs Lili | 45–38 | 54.22% |
| Gillinho vs Feng | 36–40 | 47.37% |
| Gillinho vs Yoshimitsu | 30–40 | 42.86% |
| Gillinho vs Lars | 37–31 | 54.41% |
| Gillinho vs Xiaoyu | 34–31 | 52.31% |
| Gillinho vs Heihachi | 30–31 | 49.18% |
| Gillinho vs Asuka | 35–23 | 60.34% |
| Gillinho vs Devil Jin | 32–26 | 55.17% |
| Gillinho vs Nina | 31–27 | 53.45% |
| Gillinho vs Leroy | 30–26 | 53.57% |
| Gillinho vs Jun | 28–27 | 50.91% |
| Gillinho vs Lee | 23–31 | 42.59% |
| Gillinho vs Reina | 28–25 | 52.83% |
| Gillinho vs Eddy | 25–26 | 49.02% |
| Gillinho vs Alisa | 20–20 | 50.00% |
| Gillinho vs Jack-8 | 19–18 | 51.35% |
| Gillinho vs Azucena | 14–23 | 37.84% |
| Gillinho vs Raven | 11–23 | 32.35% |
| Gillinho vs Lidia | 23–11 | 67.65% |
| Gillinho vs Leo | 24–7 | 77.42% |
| Gillinho vs Claudio | 15–15 | 50.00% |
| Gillinho vs Victor | 12–17 | 41.38% |
| Gillinho vs Fahkumram | 7–10 | 41.18% |
| Gillinho vs Kuma | 7–9 | 43.75% |
| Gillinho vs Shaheen | 8–5 | 61.54% |
| Gillinho vs Zafina | 5–7 | 41.67% |
| Gillinho vs Clive | 1–10 | 9.09% |
| Gillinho vs Anna | 4–6 | 40.00% |
| Gillinho vs Panda | 7–2 | 77.78% |
| Gillinho vs Armor King | 4–1 | 80.00% |
| Gillinho vs Miary Zo | 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.