| Tabchelsea10 vs Jin | 10–18 | 35.71% |
| Tabchelsea10 vs Kazuya | 11–14 | 44.00% |
| Tabchelsea10 vs King | 10–12 | 45.45% |
| Tabchelsea10 vs Anna | 11–11 | 50.00% |
| Tabchelsea10 vs Heihachi | 9–11 | 45.00% |
| Tabchelsea10 vs Azucena | 8–6 | 57.14% |
| Tabchelsea10 vs Hwoarang | 8–5 | 61.54% |
| Tabchelsea10 vs Bryan | 4–8 | 33.33% |
| Tabchelsea10 vs Xiaoyu | 4–6 | 40.00% |
| Tabchelsea10 vs Reina | 3–7 | 30.00% |
| Tabchelsea10 vs Steve | 5–4 | 55.56% |
| Tabchelsea10 vs Nina | 3–6 | 33.33% |
| Tabchelsea10 vs Jun | 5–4 | 55.56% |
| Tabchelsea10 vs Lidia | 3–6 | 33.33% |
| Tabchelsea10 vs Devil Jin | 3–5 | 37.50% |
| Tabchelsea10 vs Eddy | 1–6 | 14.29% |
| Tabchelsea10 vs Clive | 4–3 | 57.14% |
| Tabchelsea10 vs Paul | 4–2 | 66.67% |
| Tabchelsea10 vs Asuka | 0–6 | 0.00% |
| Tabchelsea10 vs Law | 2–3 | 40.00% |
| Tabchelsea10 vs Yoshimitsu | 1–4 | 20.00% |
| Tabchelsea10 vs Leroy | 4–1 | 80.00% |
| Tabchelsea10 vs Feng | 3–1 | 75.00% |
| Tabchelsea10 vs Alisa | 4–0 | 100.00% |
| Tabchelsea10 vs Lars | 2–1 | 66.67% |
| Tabchelsea10 vs Claudio | 2–1 | 66.67% |
| Tabchelsea10 vs Shaheen | 2–1 | 66.67% |
| Tabchelsea10 vs Jack-8 | 0–2 | 0.00% |
| Tabchelsea10 vs Lili | 2–0 | 100.00% |
| Tabchelsea10 vs Leo | 0–2 | 0.00% |
| Tabchelsea10 vs Lee | 2–0 | 100.00% |
| Tabchelsea10 vs Victor | 2–0 | 100.00% |
| Tabchelsea10 vs Dragunov | 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.