| Twink_Crusher vs Eddy | 22–15 | 59.46% |
| Twink_Crusher vs Steve | 18–10 | 64.29% |
| Twink_Crusher vs Hwoarang | 11–16 | 40.74% |
| Twink_Crusher vs Reina | 20–7 | 74.07% |
| Twink_Crusher vs Kazuya | 14–7 | 66.67% |
| Twink_Crusher vs King | 10–10 | 50.00% |
| Twink_Crusher vs Jin | 13–7 | 65.00% |
| Twink_Crusher vs Jun | 12–8 | 60.00% |
| Twink_Crusher vs Law | 8–11 | 42.11% |
| Twink_Crusher vs Lili | 13–6 | 68.42% |
| Twink_Crusher vs Bryan | 9–9 | 50.00% |
| Twink_Crusher vs Dragunov | 6–11 | 35.29% |
| Twink_Crusher vs Yoshimitsu | 7–9 | 43.75% |
| Twink_Crusher vs Asuka | 12–3 | 80.00% |
| Twink_Crusher vs Paul | 6–6 | 50.00% |
| Twink_Crusher vs Anna | 6–5 | 54.55% |
| Twink_Crusher vs Xiaoyu | 6–4 | 60.00% |
| Twink_Crusher vs Lars | 6–4 | 60.00% |
| Twink_Crusher vs Nina | 4–6 | 40.00% |
| Twink_Crusher vs Azucena | 9–1 | 90.00% |
| Twink_Crusher vs Victor | 5–5 | 50.00% |
| Twink_Crusher vs Alisa | 5–4 | 55.56% |
| Twink_Crusher vs Devil Jin | 4–4 | 50.00% |
| Twink_Crusher vs Lee | 4–4 | 50.00% |
| Twink_Crusher vs Lidia | 6–2 | 75.00% |
| Twink_Crusher vs Jack-8 | 5–2 | 71.43% |
| Twink_Crusher vs Leo | 7–0 | 100.00% |
| Twink_Crusher vs Shaheen | 5–2 | 71.43% |
| Twink_Crusher vs Leroy | 3–4 | 42.86% |
| Twink_Crusher vs Heihachi | 5–2 | 71.43% |
| Twink_Crusher vs Kuma | 6–0 | 100.00% |
| Twink_Crusher vs Zafina | 3–3 | 50.00% |
| Twink_Crusher vs Feng | 2–2 | 50.00% |
| Twink_Crusher vs Fahkumram | 2–1 | 66.67% |
| Twink_Crusher vs Raven | 2–0 | 100.00% |
| Twink_Crusher vs Clive | 2–0 | 100.00% |
| Twink_Crusher vs Claudio | 1–0 | 100.00% |
| Twink_Crusher vs Panda | 0–1 | 0.00% |
| Twink_Crusher vs Armor King | 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.