| TCB | FAM vs Steve | 24–14 | 63.16% |
| TCB | FAM vs King | 18–19 | 48.65% |
| TCB | FAM vs Kazuya | 14–15 | 48.28% |
| TCB | FAM vs Dragunov | 16–12 | 57.14% |
| TCB | FAM vs Jin | 8–19 | 29.63% |
| TCB | FAM vs Jun | 15–11 | 57.69% |
| TCB | FAM vs Reina | 15–11 | 57.69% |
| TCB | FAM vs Asuka | 4–20 | 16.67% |
| TCB | FAM vs Clive | 13–6 | 68.42% |
| TCB | FAM vs Bryan | 11–7 | 61.11% |
| TCB | FAM vs Law | 6–9 | 40.00% |
| TCB | FAM vs Armor King | 5–10 | 33.33% |
| TCB | FAM vs Devil Jin | 6–7 | 46.15% |
| TCB | FAM vs Yoshimitsu | 8–4 | 66.67% |
| TCB | FAM vs Azucena | 3–9 | 25.00% |
| TCB | FAM vs Heihachi | 4–8 | 33.33% |
| TCB | FAM vs Lars | 4–7 | 36.36% |
| TCB | FAM vs Claudio | 6–5 | 54.55% |
| TCB | FAM vs Alisa | 4–6 | 40.00% |
| TCB | FAM vs Victor | 4–6 | 40.00% |
| TCB | FAM vs Miary Zo | 3–7 | 30.00% |
| TCB | FAM vs Lili | 6–1 | 85.71% |
| TCB | FAM vs Fahkumram | 3–4 | 42.86% |
| TCB | FAM vs Hwoarang | 2–4 | 33.33% |
| TCB | FAM vs Feng | 3–3 | 50.00% |
| TCB | FAM vs Anna | 3–3 | 50.00% |
| TCB | FAM vs Paul | 0–4 | 0.00% |
| TCB | FAM vs Xiaoyu | 2–2 | 50.00% |
| TCB | FAM vs Nina | 2–2 | 50.00% |
| TCB | FAM vs Lee | 2–1 | 66.67% |
| TCB | FAM vs Eddy | 2–1 | 66.67% |
| TCB | FAM vs Lidia | 1–2 | 33.33% |
| TCB | FAM vs Leo | 0–2 | 0.00% |
| TCB | FAM vs Kuma | 0–2 | 0.00% |
| TCB | FAM vs Leroy | 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.