| tekmile vs Dragunov | 2–9 | 18.18% |
| tekmile vs Nina | 3–8 | 27.27% |
| tekmile vs Yoshimitsu | 6–3 | 66.67% |
| tekmile vs King | 3–4 | 42.86% |
| tekmile vs Kazuya | 2–5 | 28.57% |
| tekmile vs Steve | 0–6 | 0.00% |
| tekmile vs Jun | 0–5 | 0.00% |
| tekmile vs Alisa | 0–4 | 0.00% |
| tekmile vs Eddy | 2–2 | 50.00% |
| tekmile vs Xiaoyu | 0–3 | 0.00% |
| tekmile vs Reina | 1–2 | 33.33% |
| tekmile vs Azucena | 0–3 | 0.00% |
| tekmile vs Clive | 0–3 | 0.00% |
| tekmile vs Fahkumram | 1–2 | 33.33% |
| tekmile vs Law | 0–2 | 0.00% |
| tekmile vs Jin | 0–2 | 0.00% |
| tekmile vs Lili | 0–2 | 0.00% |
| tekmile vs Lee | 0–2 | 0.00% |
| tekmile vs Panda | 0–2 | 0.00% |
| tekmile vs Paul | 1–0 | 100.00% |
| tekmile vs Hwoarang | 0–1 | 0.00% |
| tekmile vs Kuma | 0–1 | 0.00% |
| tekmile vs Zafina | 0–1 | 0.00% |
| tekmile vs Leroy | 0–1 | 0.00% |
| tekmile vs Lidia | 0–1 | 0.00% |
| tekmile vs Anna | 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.