| alucardtwin vs Reina | 13–20 | 39.39% |
| alucardtwin vs Eddy | 4–27 | 12.90% |
| alucardtwin vs King | 10–18 | 35.71% |
| alucardtwin vs Law | 4–20 | 16.67% |
| alucardtwin vs Hwoarang | 2–22 | 8.33% |
| alucardtwin vs Jin | 6–18 | 25.00% |
| alucardtwin vs Steve | 5–19 | 20.83% |
| alucardtwin vs Kazuya | 8–11 | 42.11% |
| alucardtwin vs Asuka | 7–12 | 36.84% |
| alucardtwin vs Jun | 2–16 | 11.11% |
| alucardtwin vs Lars | 6–10 | 37.50% |
| alucardtwin vs Victor | 10–6 | 62.50% |
| alucardtwin vs Paul | 2–13 | 13.33% |
| alucardtwin vs Lee | 7–7 | 50.00% |
| alucardtwin vs Nina | 2–11 | 15.38% |
| alucardtwin vs Xiaoyu | 1–11 | 8.33% |
| alucardtwin vs Bryan | 2–10 | 16.67% |
| alucardtwin vs Leo | 7–4 | 63.64% |
| alucardtwin vs Yoshimitsu | 3–7 | 30.00% |
| alucardtwin vs Dragunov | 3–7 | 30.00% |
| alucardtwin vs Raven | 3–7 | 30.00% |
| alucardtwin vs Lili | 3–6 | 33.33% |
| alucardtwin vs Azucena | 4–5 | 44.44% |
| alucardtwin vs Zafina | 2–6 | 25.00% |
| alucardtwin vs Devil Jin | 2–3 | 40.00% |
| alucardtwin vs Feng | 0–5 | 0.00% |
| alucardtwin vs Alisa | 0–5 | 0.00% |
| alucardtwin vs Jack-8 | 2–2 | 50.00% |
| alucardtwin vs Shaheen | 0–3 | 0.00% |
| alucardtwin vs Leroy | 0–3 | 0.00% |
| alucardtwin vs Claudio | 0–2 | 0.00% |
| alucardtwin vs Panda | 1–1 | 50.00% |
| alucardtwin vs Kuma | 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.