| gyko12 vs Armor King | 28–22 | 56.00% |
| gyko12 vs Dragunov | 26–8 | 76.47% |
| gyko12 vs Kazuya | 16–15 | 51.61% |
| gyko12 vs Reina | 21–10 | 67.74% |
| gyko12 vs Jin | 15–13 | 53.57% |
| gyko12 vs King | 19–8 | 70.37% |
| gyko12 vs Paul | 15–9 | 62.50% |
| gyko12 vs Bryan | 16–8 | 66.67% |
| gyko12 vs Hwoarang | 16–6 | 72.73% |
| gyko12 vs Clive | 11–10 | 52.38% |
| gyko12 vs Lili | 15–5 | 75.00% |
| gyko12 vs Victor | 12–4 | 75.00% |
| gyko12 vs Leroy | 6–9 | 40.00% |
| gyko12 vs Heihachi | 12–3 | 80.00% |
| gyko12 vs Fahkumram | 11–4 | 73.33% |
| gyko12 vs Asuka | 6–8 | 42.86% |
| gyko12 vs Steve | 8–5 | 61.54% |
| gyko12 vs Azucena | 8–5 | 61.54% |
| gyko12 vs Xiaoyu | 5–7 | 41.67% |
| gyko12 vs Nina | 7–4 | 63.64% |
| gyko12 vs Yoshimitsu | 8–1 | 88.89% |
| gyko12 vs Law | 4–4 | 50.00% |
| gyko12 vs Feng | 4–3 | 57.14% |
| gyko12 vs Lars | 7–0 | 100.00% |
| gyko12 vs Anna | 3–4 | 42.86% |
| gyko12 vs Alisa | 2–4 | 33.33% |
| gyko12 vs Lee | 2–4 | 33.33% |
| gyko12 vs Devil Jin | 1–4 | 20.00% |
| gyko12 vs Kuma | 2–3 | 40.00% |
| gyko12 vs Zafina | 2–3 | 40.00% |
| gyko12 vs Lidia | 4–0 | 100.00% |
| gyko12 vs Leo | 2–1 | 66.67% |
| gyko12 vs Shaheen | 3–0 | 100.00% |
| gyko12 vs Jun | 2–1 | 66.67% |
| gyko12 vs Eddy | 0–3 | 0.00% |
| gyko12 vs Jack-8 | 1–1 | 50.00% |
| gyko12 vs Claudio | 0–2 | 0.00% |
| gyko12 vs Raven | 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.