| TOBYHU vs Kazuya | 14–32 | 30.43% |
| TOBYHU vs Reina | 23–21 | 52.27% |
| TOBYHU vs King | 16–24 | 40.00% |
| TOBYHU vs Jin | 22–18 | 55.00% |
| TOBYHU vs Steve | 16–20 | 44.44% |
| TOBYHU vs Victor | 22–13 | 62.86% |
| TOBYHU vs Dragunov | 14–15 | 48.28% |
| TOBYHU vs Bryan | 16–12 | 57.14% |
| TOBYHU vs Hwoarang | 10–15 | 40.00% |
| TOBYHU vs Asuka | 7–14 | 33.33% |
| TOBYHU vs Armor King | 11–10 | 52.38% |
| TOBYHU vs Lili | 10–10 | 50.00% |
| TOBYHU vs Anna | 13–7 | 65.00% |
| TOBYHU vs Yoshimitsu | 7–8 | 46.67% |
| TOBYHU vs Lars | 3–10 | 23.08% |
| TOBYHU vs Eddy | 4–9 | 30.77% |
| TOBYHU vs Devil Jin | 3–8 | 27.27% |
| TOBYHU vs Law | 2–8 | 20.00% |
| TOBYHU vs Xiaoyu | 5–5 | 50.00% |
| TOBYHU vs Lidia | 3–6 | 33.33% |
| TOBYHU vs Paul | 3–5 | 37.50% |
| TOBYHU vs Leo | 2–6 | 25.00% |
| TOBYHU vs Heihachi | 5–3 | 62.50% |
| TOBYHU vs Lee | 4–3 | 57.14% |
| TOBYHU vs Miary Zo | 4–3 | 57.14% |
| TOBYHU vs Azucena | 1–5 | 16.67% |
| TOBYHU vs Fahkumram | 4–2 | 66.67% |
| TOBYHU vs Feng | 2–3 | 40.00% |
| TOBYHU vs Clive | 2–3 | 40.00% |
| TOBYHU vs Nina | 0–4 | 0.00% |
| TOBYHU vs Zafina | 2–1 | 66.67% |
| TOBYHU vs Jun | 2–1 | 66.67% |
| TOBYHU vs Claudio | 0–2 | 0.00% |
| TOBYHU vs Kuma | 0–2 | 0.00% |
| TOBYHU vs Jack-8 | 0–1 | 0.00% |
| TOBYHU vs Shaheen | 1–0 | 100.00% |
| TOBYHU vs Leroy | 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.