| Tekeflap vs King | 72–88 | 45.00% |
| Tekeflap vs Kazuya | 65–64 | 50.39% |
| Tekeflap vs Steve | 53–57 | 48.18% |
| Tekeflap vs Bryan | 45–63 | 41.67% |
| Tekeflap vs Law | 41–60 | 40.59% |
| Tekeflap vs Eddy | 33–66 | 33.33% |
| Tekeflap vs Jin | 38–49 | 43.68% |
| Tekeflap vs Reina | 44–38 | 53.66% |
| Tekeflap vs Paul | 40–32 | 55.56% |
| Tekeflap vs Dragunov | 31–41 | 43.06% |
| Tekeflap vs Hwoarang | 37–34 | 52.11% |
| Tekeflap vs Yoshimitsu | 31–31 | 50.00% |
| Tekeflap vs Lili | 21–24 | 46.67% |
| Tekeflap vs Victor | 19–24 | 44.19% |
| Tekeflap vs Miary Zo | 22–21 | 51.16% |
| Tekeflap vs Jun | 17–19 | 47.22% |
| Tekeflap vs Feng | 15–18 | 45.45% |
| Tekeflap vs Asuka | 13–19 | 40.62% |
| Tekeflap vs Devil Jin | 17–15 | 53.12% |
| Tekeflap vs Lee | 19–13 | 59.38% |
| Tekeflap vs Nina | 18–12 | 60.00% |
| Tekeflap vs Heihachi | 14–15 | 48.28% |
| Tekeflap vs Lars | 9–18 | 33.33% |
| Tekeflap vs Leroy | 12–14 | 46.15% |
| Tekeflap vs Lidia | 15–9–1 | 62.50% |
| Tekeflap vs Armor King | 10–14 | 41.67% |
| Tekeflap vs Leo | 12–9 | 57.14% |
| Tekeflap vs Azucena | 15–6 | 71.43% |
| Tekeflap vs Kuma | 5–15 | 25.00% |
| Tekeflap vs Jack-8 | 10–9 | 52.63% |
| Tekeflap vs Fahkumram | 5–11 | 31.25% |
| Tekeflap vs Claudio | 7–8 | 46.67% |
| Tekeflap vs Zafina | 10–5 | 66.67% |
| Tekeflap vs Xiaoyu | 5–8 | 38.46% |
| Tekeflap vs Alisa | 3–9 | 25.00% |
| Tekeflap vs Shaheen | 8–4 | 66.67% |
| Tekeflap vs Raven | 6–3 | 66.67% |
| Tekeflap vs Clive | 5–4 | 55.56% |
| Tekeflap vs Panda | 4–4 | 50.00% |
| Tekeflap vs Anna | 0–2 | 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.