| TillyStone vs Eddy | 10–28 | 26.32% |
| TillyStone vs Kazuya | 3–18 | 14.29% |
| TillyStone vs Reina | 13–8 | 61.90% |
| TillyStone vs Jin | 4–16 | 20.00% |
| TillyStone vs Lars | 5–9 | 35.71% |
| TillyStone vs Yoshimitsu | 5–8 | 38.46% |
| TillyStone vs Lili | 8–5 | 61.54% |
| TillyStone vs King | 9–3 | 75.00% |
| TillyStone vs Paul | 7–3 | 70.00% |
| TillyStone vs Law | 2–7 | 22.22% |
| TillyStone vs Hwoarang | 3–6 | 33.33% |
| TillyStone vs Devil Jin | 4–5 | 44.44% |
| TillyStone vs Dragunov | 4–5 | 44.44% |
| TillyStone vs Steve | 7–1 | 87.50% |
| TillyStone vs Lee | 4–4 | 50.00% |
| TillyStone vs Leroy | 4–4 | 50.00% |
| TillyStone vs Azucena | 2–6 | 25.00% |
| TillyStone vs Raven | 4–4 | 50.00% |
| TillyStone vs Claudio | 4–3 | 57.14% |
| TillyStone vs Victor | 4–3 | 57.14% |
| TillyStone vs Lidia | 1–6 | 14.29% |
| TillyStone vs Bryan | 2–4 | 33.33% |
| TillyStone vs Xiaoyu | 2–3 | 40.00% |
| TillyStone vs Jack-8 | 2–3 | 40.00% |
| TillyStone vs Asuka | 3–2 | 60.00% |
| TillyStone vs Leo | 2–3 | 40.00% |
| TillyStone vs Kuma | 4–1 | 80.00% |
| TillyStone vs Panda | 2–2 | 50.00% |
| TillyStone vs Alisa | 3–0 | 100.00% |
| TillyStone vs Jun | 1–2 | 33.33% |
| TillyStone vs Shaheen | 0–2 | 0.00% |
| TillyStone vs Nina | 2–0 | 100.00% |
| TillyStone vs Feng | 1–0 | 100.00% |
| TillyStone vs Zafina | 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.