| TAMALA vs Reina | 7–4 | 63.64% |
| TAMALA vs Jin | 6–3 | 66.67% |
| TAMALA vs Asuka | 6–2 | 75.00% |
| TAMALA vs Azucena | 6–2 | 75.00% |
| TAMALA vs Victor | 3–5 | 37.50% |
| TAMALA vs King | 2–5 | 28.57% |
| TAMALA vs Lili | 5–2 | 71.43% |
| TAMALA vs Kazuya | 2–4 | 33.33% |
| TAMALA vs Dragunov | 2–4 | 33.33% |
| TAMALA vs Jun | 4–2 | 66.67% |
| TAMALA vs Eddy | 5–1 | 83.33% |
| TAMALA vs Lee | 1–4 | 20.00% |
| TAMALA vs Leroy | 1–4 | 20.00% |
| TAMALA vs Yoshimitsu | 3–1 | 75.00% |
| TAMALA vs Hwoarang | 2–2 | 50.00% |
| TAMALA vs Zafina | 0–4 | 0.00% |
| TAMALA vs Paul | 2–1 | 66.67% |
| TAMALA vs Law | 0–3 | 0.00% |
| TAMALA vs Claudio | 1–2 | 33.33% |
| TAMALA vs Feng | 2–0 | 100.00% |
| TAMALA vs Leo | 2–0 | 100.00% |
| TAMALA vs Kuma | 0–2 | 0.00% |
| TAMALA vs Bryan | 1–0 | 100.00% |
| TAMALA vs Steve | 1–0 | 100.00% |
| TAMALA vs Nina | 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.