| TISSUES0102 vs Reina | 8–11 | 42.11% |
| TISSUES0102 vs King | 5–13 | 27.78% |
| TISSUES0102 vs Dragunov | 2–15 | 11.76% |
| TISSUES0102 vs Steve | 4–12 | 25.00% |
| TISSUES0102 vs Asuka | 1–12 | 7.69% |
| TISSUES0102 vs Kazuya | 6–6 | 50.00% |
| TISSUES0102 vs Lili | 0–12 | 0.00% |
| TISSUES0102 vs Jin | 2–9 | 18.18% |
| TISSUES0102 vs Law | 3–7 | 30.00% |
| TISSUES0102 vs Jun | 2–8 | 20.00% |
| TISSUES0102 vs Eddy | 3–7 | 30.00% |
| TISSUES0102 vs Azucena | 4–5 | 44.44% |
| TISSUES0102 vs Yoshimitsu | 3–5 | 37.50% |
| TISSUES0102 vs Claudio | 0–8 | 0.00% |
| TISSUES0102 vs Victor | 1–7 | 12.50% |
| TISSUES0102 vs Paul | 1–6 | 14.29% |
| TISSUES0102 vs Devil Jin | 1–6 | 14.29% |
| TISSUES0102 vs Hwoarang | 4–2 | 66.67% |
| TISSUES0102 vs Bryan | 1–5 | 16.67% |
| TISSUES0102 vs Alisa | 1–5 | 16.67% |
| TISSUES0102 vs Lee | 1–5 | 16.67% |
| TISSUES0102 vs Nina | 1–4 | 20.00% |
| TISSUES0102 vs Leroy | 1–3 | 25.00% |
| TISSUES0102 vs Xiaoyu | 0–3 | 0.00% |
| TISSUES0102 vs Leo | 0–2 | 0.00% |
| TISSUES0102 vs Kuma | 0–2 | 0.00% |
| TISSUES0102 vs Panda | 2–0 | 100.00% |
| TISSUES0102 vs Jack-8 | 0–1 | 0.00% |
| TISSUES0102 vs Shaheen | 0–1 | 0.00% |
| TISSUES0102 vs Zafina | 0–1 | 0.00% |
| TISSUES0102 vs Raven | 1–0 | 100.00% |
| TISSUES0102 vs Clive | 1–0 | 100.00% |
| TISSUES0102 vs Fahkumram | 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.