| Tmfead27 vs Law | 9–12 | 42.86% |
| Tmfead27 vs King | 9–12 | 42.86% |
| Tmfead27 vs Hwoarang | 9–10 | 47.37% |
| Tmfead27 vs Azucena | 6–10 | 37.50% |
| Tmfead27 vs Reina | 7–8 | 46.67% |
| Tmfead27 vs Lili | 7–7 | 50.00% |
| Tmfead27 vs Clive | 4–10 | 28.57% |
| Tmfead27 vs Miary Zo | 8–4 | 66.67% |
| Tmfead27 vs Kuma | 3–8 | 27.27% |
| Tmfead27 vs Jun | 8–3 | 72.73% |
| Tmfead27 vs Bryan | 6–4 | 60.00% |
| Tmfead27 vs Eddy | 2–7 | 22.22% |
| Tmfead27 vs Jin | 2–6 | 25.00% |
| Tmfead27 vs Leo | 5–3 | 62.50% |
| Tmfead27 vs Steve | 1–6 | 14.29% |
| Tmfead27 vs Lars | 5–2 | 71.43% |
| Tmfead27 vs Alisa | 1–6 | 14.29% |
| Tmfead27 vs Nina | 2–4 | 33.33% |
| Tmfead27 vs Zafina | 3–3 | 50.00% |
| Tmfead27 vs Leroy | 2–4 | 33.33% |
| Tmfead27 vs Heihachi | 4–2 | 66.67% |
| Tmfead27 vs Armor King | 2–4 | 33.33% |
| Tmfead27 vs Paul | 1–4 | 20.00% |
| Tmfead27 vs Dragunov | 2–3 | 40.00% |
| Tmfead27 vs Raven | 0–5 | 0.00% |
| Tmfead27 vs Lidia | 0–5 | 0.00% |
| Tmfead27 vs Kazuya | 0–4 | 0.00% |
| Tmfead27 vs Asuka | 3–1 | 75.00% |
| Tmfead27 vs Victor | 2–2 | 50.00% |
| Tmfead27 vs Shaheen | 1–2 | 33.33% |
| Tmfead27 vs Panda | 1–2 | 33.33% |
| Tmfead27 vs Fahkumram | 1–2 | 33.33% |
| Tmfead27 vs Yoshimitsu | 0–2 | 0.00% |
| Tmfead27 vs Devil Jin | 0–2 | 0.00% |
| Tmfead27 vs Anna | 2–0 | 100.00% |
| Tmfead27 vs Claudio | 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.