| thegleesh vs Kazuya | 43–18 | 70.49% |
| thegleesh vs Jin | 26–14 | 65.00% |
| thegleesh vs Hwoarang | 22–17 | 56.41% |
| thegleesh vs King | 25–6 | 80.65% |
| thegleesh vs Steve | 19–11 | 63.33% |
| thegleesh vs Reina | 16–13 | 55.17% |
| thegleesh vs Lili | 8–15 | 34.78% |
| thegleesh vs Jun | 13–9 | 59.09% |
| thegleesh vs Victor | 8–13 | 38.10% |
| thegleesh vs Bryan | 13–7 | 65.00% |
| thegleesh vs Yoshimitsu | 10–9 | 52.63% |
| thegleesh vs Paul | 9–9 | 50.00% |
| thegleesh vs Azucena | 9–9 | 50.00% |
| thegleesh vs Dragunov | 9–8 | 52.94% |
| thegleesh vs Eddy | 9–8 | 52.94% |
| thegleesh vs Law | 10–5 | 66.67% |
| thegleesh vs Lars | 8–7 | 53.33% |
| thegleesh vs Jack-8 | 4–9 | 30.77% |
| thegleesh vs Claudio | 3–10 | 23.08% |
| thegleesh vs Lee | 6–7 | 46.15% |
| thegleesh vs Alisa | 5–4 | 55.56% |
| thegleesh vs Raven | 6–3 | 66.67% |
| thegleesh vs Asuka | 5–2 | 71.43% |
| thegleesh vs Devil Jin | 5–2 | 71.43% |
| thegleesh vs Leo | 4–3 | 57.14% |
| thegleesh vs Feng | 3–3 | 50.00% |
| thegleesh vs Nina | 6–0 | 100.00% |
| thegleesh vs Kuma | 4–2 | 66.67% |
| thegleesh vs Zafina | 5–1 | 83.33% |
| thegleesh vs Leroy | 5–1 | 83.33% |
| thegleesh vs Anna | 4–2 | 66.67% |
| thegleesh vs Fahkumram | 4–2 | 66.67% |
| thegleesh vs Panda | 3–1 | 75.00% |
| thegleesh vs Lidia | 2–2 | 50.00% |
| thegleesh vs Armor King | 3–1 | 75.00% |
| thegleesh vs Miary Zo | 1–3 | 25.00% |
| thegleesh vs Xiaoyu | 1–2 | 33.33% |
| thegleesh vs Shaheen | 2–1 | 66.67% |
| thegleesh vs Heihachi | 2–0 | 100.00% |
| thegleesh vs Clive | 2–0 | 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.