| HoLeeSheet vs Eddy | 22–10 | 68.75% |
| HoLeeSheet vs Kazuya | 5–5 | 50.00% |
| HoLeeSheet vs King | 6–3 | 66.67% |
| HoLeeSheet vs Dragunov | 5–4 | 55.56% |
| HoLeeSheet vs Reina | 6–3 | 66.67% |
| HoLeeSheet vs Hwoarang | 6–1 | 85.71% |
| HoLeeSheet vs Xiaoyu | 6–1 | 85.71% |
| HoLeeSheet vs Lili | 3–4 | 42.86% |
| HoLeeSheet vs Azucena | 6–1 | 85.71% |
| HoLeeSheet vs Alisa | 2–4 | 33.33% |
| HoLeeSheet vs Raven | 5–1 | 83.33% |
| HoLeeSheet vs Law | 4–1 | 80.00% |
| HoLeeSheet vs Bryan | 3–2 | 60.00% |
| HoLeeSheet vs Asuka | 4–1 | 80.00% |
| HoLeeSheet vs Clive | 2–3 | 40.00% |
| HoLeeSheet vs Paul | 3–1 | 75.00% |
| HoLeeSheet vs Steve | 4–0 | 100.00% |
| HoLeeSheet vs Devil Jin | 3–1 | 75.00% |
| HoLeeSheet vs Nina | 3–1 | 75.00% |
| HoLeeSheet vs Leroy | 4–0 | 100.00% |
| HoLeeSheet vs Victor | 3–1 | 75.00% |
| HoLeeSheet vs Jin | 2–1 | 66.67% |
| HoLeeSheet vs Lars | 2–1 | 66.67% |
| HoLeeSheet vs Kuma | 3–0 | 100.00% |
| HoLeeSheet vs Panda | 1–2 | 33.33% |
| HoLeeSheet vs Jun | 3–0 | 100.00% |
| HoLeeSheet vs Yoshimitsu | 1–1 | 50.00% |
| HoLeeSheet vs Feng | 2–0 | 100.00% |
| HoLeeSheet vs Leo | 1–1 | 50.00% |
| HoLeeSheet vs Lee | 2–0 | 100.00% |
| HoLeeSheet vs Heihachi | 1–1 | 50.00% |
| HoLeeSheet vs Claudio | 0–1 | 0.00% |
| HoLeeSheet vs Lidia | 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.