| goiolee vs Paul | 3–5 | 37.50% |
| goiolee vs Kazuya | 1–5 | 16.67% |
| goiolee vs Claudio | 2–3 | 40.00% |
| goiolee vs Miary Zo | 4–1 | 80.00% |
| goiolee vs King | 3–0 | 100.00% |
| goiolee vs Lee | 2–1 | 66.67% |
| goiolee vs Clive | 1–2 | 33.33% |
| goiolee vs Xiaoyu | 0–2 | 0.00% |
| goiolee vs Asuka | 2–0 | 100.00% |
| goiolee vs Lili | 1–1 | 50.00% |
| goiolee vs Kuma | 2–0 | 100.00% |
| goiolee vs Reina | 2–0 | 100.00% |
| goiolee vs Jin | 0–1 | 0.00% |
| goiolee vs Steve | 0–1 | 0.00% |
| goiolee vs Victor | 1–0 | 100.00% |
| goiolee vs Raven | 1–0 | 100.00% |
| goiolee vs Eddy | 0–1 | 0.00% |
| goiolee vs Heihachi | 0–1 | 0.00% |
| goiolee vs Armor King | 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.