| TutorG vs Alisa | 2–10 | 16.67% |
| TutorG vs Jun | 2–10 | 16.67% |
| TutorG vs Law | 1–7 | 12.50% |
| TutorG vs Lili | 1–7 | 12.50% |
| TutorG vs Heihachi | 1–6 | 14.29% |
| TutorG vs Bryan | 1–5 | 16.67% |
| TutorG vs Lee | 2–4 | 33.33% |
| TutorG vs Reina | 1–5 | 16.67% |
| TutorG vs Jin | 0–4 | 0.00% |
| TutorG vs Dragunov | 0–4 | 0.00% |
| TutorG vs Nina | 0–4 | 0.00% |
| TutorG vs Victor | 1–3 | 25.00% |
| TutorG vs Hwoarang | 2–1 | 66.67% |
| TutorG vs Asuka | 2–1 | 66.67% |
| TutorG vs Feng | 0–3 | 0.00% |
| TutorG vs Leroy | 2–1 | 66.67% |
| TutorG vs Paul | 0–2 | 0.00% |
| TutorG vs King | 0–2 | 0.00% |
| TutorG vs Yoshimitsu | 0–2 | 0.00% |
| TutorG vs Kuma | 2–0 | 100.00% |
| TutorG vs Xiaoyu | 0–1 | 0.00% |
| TutorG vs Kazuya | 0–1 | 0.00% |
| TutorG vs Leo | 1–0 | 100.00% |
| TutorG vs Lars | 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.