| Gibbone vs Jin | 27–44 | 38.03% |
| Gibbone vs Kazuya | 22–46 | 32.35% |
| Gibbone vs King | 27–38 | 41.54% |
| Gibbone vs Steve | 14–34 | 29.17% |
| Gibbone vs Hwoarang | 9–38 | 19.15% |
| Gibbone vs Bryan | 8–36 | 18.18% |
| Gibbone vs Reina | 12–32 | 27.27% |
| Gibbone vs Law | 10–22 | 31.25% |
| Gibbone vs Dragunov | 9–22 | 29.03% |
| Gibbone vs Jun | 13–18 | 41.94% |
| Gibbone vs Yoshimitsu | 9–21 | 30.00% |
| Gibbone vs Asuka | 10–18 | 35.71% |
| Gibbone vs Heihachi | 4–22 | 15.38% |
| Gibbone vs Lili | 13–12 | 52.00% |
| Gibbone vs Paul | 4–20 | 16.67% |
| Gibbone vs Lee | 12–12 | 50.00% |
| Gibbone vs Azucena | 13–9 | 59.09% |
| Gibbone vs Nina | 9–11 | 45.00% |
| Gibbone vs Eddy | 3–17 | 15.00% |
| Gibbone vs Clive | 10–10 | 50.00% |
| Gibbone vs Devil Jin | 4–14 | 22.22% |
| Gibbone vs Lars | 9–9 | 50.00% |
| Gibbone vs Alisa | 11–7 | 61.11% |
| Gibbone vs Lidia | 11–5 | 68.75% |
| Gibbone vs Xiaoyu | 5–9 | 35.71% |
| Gibbone vs Victor | 5–9 | 35.71% |
| Gibbone vs Fahkumram | 3–11 | 21.43% |
| Gibbone vs Kuma | 2–10 | 16.67% |
| Gibbone vs Leroy | 6–6 | 50.00% |
| Gibbone vs Armor King | 5–7 | 41.67% |
| Gibbone vs Feng | 1–10 | 9.09% |
| Gibbone vs Shaheen | 1–10 | 9.09% |
| Gibbone vs Jack-8 | 0–8 | 0.00% |
| Gibbone vs Zafina | 3–5 | 37.50% |
| Gibbone vs Raven | 5–2 | 71.43% |
| Gibbone vs Miary Zo | 3–4 | 42.86% |
| Gibbone vs Claudio | 2–3 | 40.00% |
| Gibbone vs Anna | 1–4 | 20.00% |
| Gibbone vs Leo | 2–2 | 50.00% |
| Gibbone vs Panda | 0–3 | 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.