| gock vs Fahkumram | 7–2 | 77.78% |
| gock vs Lars | 4–3 | 57.14% |
| gock vs Law | 5–1 | 83.33% |
| gock vs Xiaoyu | 3–2 | 60.00% |
| gock vs Asuka | 4–1 | 80.00% |
| gock vs Lili | 5–0 | 100.00% |
| gock vs Lee | 5–0 | 100.00% |
| gock vs Nina | 4–0 | 100.00% |
| gock vs Anna | 4–0 | 100.00% |
| gock vs King | 2–1 | 66.67% |
| gock vs Hwoarang | 2–0 | 100.00% |
| gock vs Devil Jin | 2–0 | 100.00% |
| gock vs Feng | 2–0 | 100.00% |
| gock vs Alisa | 0–2 | 0.00% |
| gock vs Eddy | 2–0 | 100.00% |
| gock vs Lidia | 2–0 | 100.00% |
| gock vs Heihachi | 2–0 | 100.00% |
| gock vs Clive | 1–1 | 50.00% |
| gock vs Azucena | 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.