| MF TWIX vs Heihachi | 30–20 | 60.00% |
| MF TWIX vs Kazuya | 30–16 | 65.22% |
| MF TWIX vs Reina | 25–13 | 65.79% |
| MF TWIX vs Clive | 23–15 | 60.53% |
| MF TWIX vs Bryan | 17–17 | 50.00% |
| MF TWIX vs Jin | 20–10 | 66.67% |
| MF TWIX vs Steve | 22–6 | 78.57% |
| MF TWIX vs Lee | 15–12 | 55.56% |
| MF TWIX vs Lili | 10–14 | 41.67% |
| MF TWIX vs King | 19–3 | 86.36% |
| MF TWIX vs Hwoarang | 14–8 | 63.64% |
| MF TWIX vs Yoshimitsu | 12–9 | 57.14% |
| MF TWIX vs Dragunov | 14–6 | 70.00% |
| MF TWIX vs Fahkumram | 14–6 | 70.00% |
| MF TWIX vs Devil Jin | 12–6 | 66.67% |
| MF TWIX vs Paul | 10–6 | 62.50% |
| MF TWIX vs Jack-8 | 11–5 | 68.75% |
| MF TWIX vs Lars | 12–4 | 75.00% |
| MF TWIX vs Jun | 9–7 | 56.25% |
| MF TWIX vs Law | 7–8 | 46.67% |
| MF TWIX vs Leo | 10–5 | 66.67% |
| MF TWIX vs Azucena | 9–4 | 69.23% |
| MF TWIX vs Xiaoyu | 7–5 | 58.33% |
| MF TWIX vs Asuka | 7–5 | 58.33% |
| MF TWIX vs Victor | 8–2 | 80.00% |
| MF TWIX vs Claudio | 4–5 | 44.44% |
| MF TWIX vs Raven | 3–6 | 33.33% |
| MF TWIX vs Lidia | 7–2 | 77.78% |
| MF TWIX vs Feng | 4–3 | 57.14% |
| MF TWIX vs Nina | 4–3 | 57.14% |
| MF TWIX vs Kuma | 4–3 | 57.14% |
| MF TWIX vs Anna | 1–5 | 16.67% |
| MF TWIX vs Alisa | 4–1 | 80.00% |
| MF TWIX vs Leroy | 2–3 | 40.00% |
| MF TWIX vs Shaheen | 2–1 | 66.67% |
| MF TWIX vs Eddy | 1–2 | 33.33% |
| MF TWIX vs Zafina | 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.