| Gilardii vs Jin | 35–31 | 53.03% |
| Gilardii vs Steve | 26–36 | 41.94% |
| Gilardii vs Kazuya | 24–28 | 46.15% |
| Gilardii vs Devil Jin | 18–23 | 43.90% |
| Gilardii vs King | 19–18 | 51.35% |
| Gilardii vs Bryan | 9–22 | 29.03% |
| Gilardii vs Asuka | 19–12 | 61.29% |
| Gilardii vs Dragunov | 18–12 | 60.00% |
| Gilardii vs Heihachi | 14–16 | 46.67% |
| Gilardii vs Lars | 18–10 | 64.29% |
| Gilardii vs Armor King | 12–13 | 48.00% |
| Gilardii vs Miary Zo | 12–13 | 48.00% |
| Gilardii vs Law | 9–14 | 39.13% |
| Gilardii vs Lili | 8–14 | 36.36% |
| Gilardii vs Azucena | 10–10 | 50.00% |
| Gilardii vs Fahkumram | 8–12 | 40.00% |
| Gilardii vs Hwoarang | 12–7 | 63.16% |
| Gilardii vs Clive | 7–12 | 36.84% |
| Gilardii vs Lee | 10–8 | 55.56% |
| Gilardii vs Reina | 10–8 | 55.56% |
| Gilardii vs Jun | 8–9 | 47.06% |
| Gilardii vs Lidia | 4–12 | 25.00% |
| Gilardii vs Yoshimitsu | 0–14 | 0.00% |
| Gilardii vs Alisa | 7–6 | 53.85% |
| Gilardii vs Victor | 4–9 | 30.77% |
| Gilardii vs Anna | 2–10 | 16.67% |
| Gilardii vs Feng | 3–8 | 27.27% |
| Gilardii vs Claudio | 1–10 | 9.09% |
| Gilardii vs Kuma | 4–7 | 36.36% |
| Gilardii vs Nina | 6–2 | 75.00% |
| Gilardii vs Paul | 3–4 | 42.86% |
| Gilardii vs Xiaoyu | 1–6 | 14.29% |
| Gilardii vs Leo | 4–3 | 57.14% |
| Gilardii vs Shaheen | 3–2 | 60.00% |
| Gilardii vs Zafina | 5–0 | 100.00% |
| Gilardii vs Raven | 2–3 | 40.00% |
| Gilardii vs Eddy | 0–3 | 0.00% |
| Gilardii vs Panda | 2–0 | 100.00% |
| Gilardii vs Leroy | 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.