| Gienio vs Jin | 11–19 | 36.67% |
| Gienio vs Steve | 13–16 | 44.83% |
| Gienio vs King | 9–12 | 42.86% |
| Gienio vs Jun | 4–9 | 30.77% |
| Gienio vs Azucena | 2–11 | 15.38% |
| Gienio vs Lili | 3–9 | 25.00% |
| Gienio vs Reina | 7–5 | 58.33% |
| Gienio vs Armor King | 3–9 | 25.00% |
| Gienio vs Hwoarang | 2–9 | 18.18% |
| Gienio vs Kazuya | 2–9 | 18.18% |
| Gienio vs Yoshimitsu | 4–6 | 40.00% |
| Gienio vs Bryan | 1–9 | 10.00% |
| Gienio vs Law | 2–7 | 22.22% |
| Gienio vs Asuka | 2–7 | 22.22% |
| Gienio vs Lars | 5–4 | 55.56% |
| Gienio vs Eddy | 2–7 | 22.22% |
| Gienio vs Fahkumram | 3–6 | 33.33% |
| Gienio vs Leroy | 5–3 | 62.50% |
| Gienio vs Devil Jin | 3–4 | 42.86% |
| Gienio vs Anna | 2–5 | 28.57% |
| Gienio vs Nina | 4–2 | 66.67% |
| Gienio vs Feng | 2–3 | 40.00% |
| Gienio vs Claudio | 2–3 | 40.00% |
| Gienio vs Raven | 3–2 | 60.00% |
| Gienio vs Miary Zo | 0–5 | 0.00% |
| Gienio vs Jack-8 | 1–3 | 25.00% |
| Gienio vs Alisa | 0–4 | 0.00% |
| Gienio vs Zafina | 2–2 | 50.00% |
| Gienio vs Victor | 2–2 | 50.00% |
| Gienio vs Heihachi | 3–1 | 75.00% |
| Gienio vs Dragunov | 1–2 | 33.33% |
| Gienio vs Leo | 1–2 | 33.33% |
| Gienio vs Paul | 2–0 | 100.00% |
| Gienio vs Xiaoyu | 0–2 | 0.00% |
| Gienio vs Lee | 2–0 | 100.00% |
| Gienio vs Panda | 0–2 | 0.00% |
| Gienio vs Clive | 0–2 | 0.00% |
| Gienio vs Shaheen | 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.