| Micio Gelli vs King | 2–4 | 33.33% |
| Micio Gelli vs Hwoarang | 2–4 | 33.33% |
| Micio Gelli vs Jin | 1–4 | 20.00% |
| Micio Gelli vs Dragunov | 2–2 | 50.00% |
| Micio Gelli vs Alisa | 2–2 | 50.00% |
| Micio Gelli vs Jun | 3–1 | 75.00% |
| Micio Gelli vs Eddy | 0–4 | 0.00% |
| Micio Gelli vs Law | 0–3 | 0.00% |
| Micio Gelli vs Kazuya | 1–2 | 33.33% |
| Micio Gelli vs Steve | 1–2 | 33.33% |
| Micio Gelli vs Azucena | 2–1 | 66.67% |
| Micio Gelli vs Raven | 1–2 | 33.33% |
| Micio Gelli vs Paul | 0–2 | 0.00% |
| Micio Gelli vs Xiaoyu | 0–2 | 0.00% |
| Micio Gelli vs Jack-8 | 2–0 | 100.00% |
| Micio Gelli vs Asuka | 0–2 | 0.00% |
| Micio Gelli vs Nina | 0–2 | 0.00% |
| Micio Gelli vs Reina | 0–2 | 0.00% |
| Micio Gelli vs Lili | 1–0 | 100.00% |
| Micio Gelli vs Leo | 1–0 | 100.00% |
| Micio Gelli vs Zafina | 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.