| TumsetDryler vs King | 21–14 | 60.00% |
| TumsetDryler vs Jin | 15–17 | 46.88% |
| TumsetDryler vs Hwoarang | 14–13 | 51.85% |
| TumsetDryler vs Steve | 16–9 | 64.00% |
| TumsetDryler vs Bryan | 10–12 | 45.45% |
| TumsetDryler vs Kazuya | 12–9 | 57.14% |
| TumsetDryler vs Lee | 10–10 | 50.00% |
| TumsetDryler vs Reina | 11–9 | 55.00% |
| TumsetDryler vs Law | 9–10 | 47.37% |
| TumsetDryler vs Clive | 10–7 | 58.82% |
| TumsetDryler vs Leo | 6–10 | 37.50% |
| TumsetDryler vs Azucena | 6–10 | 37.50% |
| TumsetDryler vs Yoshimitsu | 6–9 | 40.00% |
| TumsetDryler vs Jack-8 | 7–8 | 46.67% |
| TumsetDryler vs Lili | 10–5 | 66.67% |
| TumsetDryler vs Dragunov | 8–7 | 53.33% |
| TumsetDryler vs Asuka | 4–10 | 28.57% |
| TumsetDryler vs Lidia | 10–3 | 76.92% |
| TumsetDryler vs Victor | 4–8 | 33.33% |
| TumsetDryler vs Heihachi | 6–6 | 50.00% |
| TumsetDryler vs Alisa | 4–7 | 36.36% |
| TumsetDryler vs Xiaoyu | 7–2 | 77.78% |
| TumsetDryler vs Zafina | 5–4 | 55.56% |
| TumsetDryler vs Leroy | 9–0 | 100.00% |
| TumsetDryler vs Jun | 5–3 | 62.50% |
| TumsetDryler vs Miary Zo | 4–4 | 50.00% |
| TumsetDryler vs Paul | 3–4 | 42.86% |
| TumsetDryler vs Nina | 2–5 | 28.57% |
| TumsetDryler vs Devil Jin | 5–1 | 83.33% |
| TumsetDryler vs Feng | 1–5 | 16.67% |
| TumsetDryler vs Claudio | 4–2 | 66.67% |
| TumsetDryler vs Eddy | 3–3 | 50.00% |
| TumsetDryler vs Kuma | 2–3 | 40.00% |
| TumsetDryler vs Anna | 2–2 | 50.00% |
| TumsetDryler vs Lars | 3–0 | 100.00% |
| TumsetDryler vs Shaheen | 2–0 | 100.00% |
| TumsetDryler vs Raven | 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.