| gdashlgjd vs Lili | 3–3 | 50.00% |
| gdashlgjd vs King | 4–1 | 80.00% |
| gdashlgjd vs Hwoarang | 3–1 | 75.00% |
| gdashlgjd vs Asuka | 2–2 | 50.00% |
| gdashlgjd vs Steve | 1–2 | 33.33% |
| gdashlgjd vs Law | 1–1 | 50.00% |
| gdashlgjd vs Feng | 2–0 | 100.00% |
| gdashlgjd vs Lars | 2–0 | 100.00% |
| gdashlgjd vs Alisa | 1–1 | 50.00% |
| gdashlgjd vs Paul | 1–0 | 100.00% |
| gdashlgjd vs Yoshimitsu | 0–1 | 0.00% |
| gdashlgjd vs Xiaoyu | 1–0 | 100.00% |
| gdashlgjd vs Kazuya | 1–0 | 100.00% |
| gdashlgjd vs Jack-8 | 1–0 | 100.00% |
| gdashlgjd vs Devil Jin | 1–0 | 100.00% |
| gdashlgjd vs Nina | 1–0 | 100.00% |
| gdashlgjd vs Lee | 0–1 | 0.00% |
| gdashlgjd vs Kuma | 0–1 | 0.00% |
| gdashlgjd vs Panda | 0–1 | 0.00% |
| gdashlgjd vs Jun | 1–0 | 100.00% |
| gdashlgjd vs Reina | 0–1 | 0.00% |
| gdashlgjd vs Azucena | 1–0 | 100.00% |
| gdashlgjd vs Victor | 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.