| T1frmda5 vs Law | 8–14 | 36.36% |
| T1frmda5 vs Azucena | 10–11 | 47.62% |
| T1frmda5 vs King | 8–7 | 53.33% |
| T1frmda5 vs Victor | 10–5 | 66.67% |
| T1frmda5 vs Jin | 7–7 | 50.00% |
| T1frmda5 vs Steve | 9–5 | 64.29% |
| T1frmda5 vs Lili | 7–4 | 63.64% |
| T1frmda5 vs Leo | 8–3 | 72.73% |
| T1frmda5 vs Reina | 7–4 | 63.64% |
| T1frmda5 vs Lars | 7–3 | 70.00% |
| T1frmda5 vs Heihachi | 6–4 | 60.00% |
| T1frmda5 vs Hwoarang | 3–6 | 33.33% |
| T1frmda5 vs Alisa | 0–9 | 0.00% |
| T1frmda5 vs Nina | 4–3 | 57.14% |
| T1frmda5 vs Clive | 4–3 | 57.14% |
| T1frmda5 vs Fahkumram | 5–2 | 71.43% |
| T1frmda5 vs Armor King | 5–2 | 71.43% |
| T1frmda5 vs Bryan | 2–4 | 33.33% |
| T1frmda5 vs Devil Jin | 1–5 | 16.67% |
| T1frmda5 vs Dragunov | 1–5 | 16.67% |
| T1frmda5 vs Paul | 4–1 | 80.00% |
| T1frmda5 vs Yoshimitsu | 3–2 | 60.00% |
| T1frmda5 vs Feng | 3–2 | 60.00% |
| T1frmda5 vs Shaheen | 2–3 | 40.00% |
| T1frmda5 vs Kazuya | 0–4 | 0.00% |
| T1frmda5 vs Asuka | 1–3 | 25.00% |
| T1frmda5 vs Jun | 1–3 | 25.00% |
| T1frmda5 vs Lidia | 2–2 | 50.00% |
| T1frmda5 vs Anna | 2–2 | 50.00% |
| T1frmda5 vs Leroy | 1–2 | 33.33% |
| T1frmda5 vs Eddy | 2–1 | 66.67% |
| T1frmda5 vs Lee | 1–1 | 50.00% |
| T1frmda5 vs Kuma | 2–0 | 100.00% |
| T1frmda5 vs Panda | 1–1 | 50.00% |
| T1frmda5 vs Zafina | 1–0 | 100.00% |
| T1frmda5 vs Miary Zo | 1–0 | 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.