| _GYEOL vs Reina | 29–7 | 80.56% |
| _GYEOL vs Dragunov | 23–9 | 71.88% |
| _GYEOL vs Hwoarang | 15–14 | 51.72% |
| _GYEOL vs Lili | 19–9 | 67.86% |
| _GYEOL vs Paul | 24–3 | 88.89% |
| _GYEOL vs King | 17–9 | 65.38% |
| _GYEOL vs Kazuya | 14–11 | 56.00% |
| _GYEOL vs Jin | 20–4 | 83.33% |
| _GYEOL vs Jun | 16–5 | 76.19% |
| _GYEOL vs Feng | 12–7 | 63.16% |
| _GYEOL vs Steve | 11–6 | 64.71% |
| _GYEOL vs Bryan | 9–7 | 56.25% |
| _GYEOL vs Devil Jin | 12–3–1 | 80.00% |
| _GYEOL vs Leroy | 9–6 | 60.00% |
| _GYEOL vs Law | 12–2 | 85.71% |
| _GYEOL vs Xiaoyu | 10–3 | 76.92% |
| _GYEOL vs Asuka | 11–2 | 84.62% |
| _GYEOL vs Azucena | 9–4 | 69.23% |
| _GYEOL vs Raven | 10–3 | 76.92% |
| _GYEOL vs Yoshimitsu | 6–6 | 50.00% |
| _GYEOL vs Eddy | 8–3 | 72.73% |
| _GYEOL vs Heihachi | 8–3 | 72.73% |
| _GYEOL vs Alisa | 4–6 | 40.00% |
| _GYEOL vs Victor | 4–6 | 40.00% |
| _GYEOL vs Claudio | 4–5 | 44.44% |
| _GYEOL vs Armor King | 6–3 | 66.67% |
| _GYEOL vs Lars | 5–3 | 62.50% |
| _GYEOL vs Jack-8 | 5–1 | 83.33% |
| _GYEOL vs Lee | 3–3 | 50.00% |
| _GYEOL vs Shaheen | 5–0 | 100.00% |
| _GYEOL vs Nina | 2–3 | 40.00% |
| _GYEOL vs Lidia | 3–2 | 60.00% |
| _GYEOL vs Leo | 3–1 | 75.00% |
| _GYEOL vs Kuma | 3–1 | 75.00% |
| _GYEOL vs Fahkumram | 3–1 | 75.00% |
| _GYEOL vs Zafina | 1–2 | 33.33% |
| _GYEOL vs Clive | 0–3 | 0.00% |
| _GYEOL vs Anna | 1–0 | 100.00% |
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.