| Twistedleg vs Jin | 61–48 | 55.96% |
| Twistedleg vs King | 49–52 | 48.51% |
| Twistedleg vs Kazuya | 63–33 | 65.62% |
| Twistedleg vs Bryan | 54–34 | 61.36% |
| Twistedleg vs Steve | 63–22 | 74.12% |
| Twistedleg vs Reina | 48–32 | 60.00% |
| Twistedleg vs Eddy | 40–36 | 52.63% |
| Twistedleg vs Hwoarang | 38–31 | 55.07% |
| Twistedleg vs Lili | 36–33 | 52.17% |
| Twistedleg vs Paul | 36–28 | 56.25% |
| Twistedleg vs Azucena | 22–31 | 41.51% |
| Twistedleg vs Lee | 26–25 | 50.98% |
| Twistedleg vs Dragunov | 30–20 | 60.00% |
| Twistedleg vs Alisa | 22–28 | 44.00% |
| Twistedleg vs Xiaoyu | 27–21 | 56.25% |
| Twistedleg vs Devil Jin | 25–20 | 55.56% |
| Twistedleg vs Nina | 14–28 | 33.33% |
| Twistedleg vs Feng | 25–16 | 60.98% |
| Twistedleg vs Yoshimitsu | 16–24 | 40.00% |
| Twistedleg vs Law | 19–16 | 54.29% |
| Twistedleg vs Leroy | 9–23 | 28.12% |
| Twistedleg vs Lars | 19–11 | 63.33% |
| Twistedleg vs Victor | 12–18 | 40.00% |
| Twistedleg vs Heihachi | 15–13 | 53.57% |
| Twistedleg vs Anna | 10–18 | 35.71% |
| Twistedleg vs Jun | 16–11 | 59.26% |
| Twistedleg vs Asuka | 11–12 | 47.83% |
| Twistedleg vs Leo | 12–10 | 54.55% |
| Twistedleg vs Jack-8 | 3–18 | 14.29% |
| Twistedleg vs Raven | 7–10 | 41.18% |
| Twistedleg vs Clive | 3–9 | 25.00% |
| Twistedleg vs Zafina | 3–8 | 27.27% |
| Twistedleg vs Shaheen | 6–4 | 60.00% |
| Twistedleg vs Armor King | 7–3 | 70.00% |
| Twistedleg vs Claudio | 6–3 | 66.67% |
| Twistedleg vs Panda | 1–4 | 20.00% |
| Twistedleg vs Kuma | 0–4 | 0.00% |
| Twistedleg vs Lidia | 4–0 | 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.