| TRJ | Alucard vs Kazuya | 36–27–1 | 57.14% |
| TRJ | Alucard vs Jin | 37–26 | 58.73% |
| TRJ | Alucard vs Armor King | 40–17 | 70.18% |
| TRJ | Alucard vs Steve | 27–9 | 75.00% |
| TRJ | Alucard vs Lars | 14–17 | 45.16% |
| TRJ | Alucard vs Paul | 14–16 | 46.67% |
| TRJ | Alucard vs Hwoarang | 17–11 | 60.71% |
| TRJ | Alucard vs Bryan | 18–9 | 66.67% |
| TRJ | Alucard vs Jack-8 | 13–7 | 65.00% |
| TRJ | Alucard vs Miary Zo | 9–11 | 45.00% |
| TRJ | Alucard vs Law | 16–3 | 84.21% |
| TRJ | Alucard vs Lee | 13–6 | 68.42% |
| TRJ | Alucard vs Heihachi | 12–7 | 63.16% |
| TRJ | Alucard vs Devil Jin | 11–7 | 61.11% |
| TRJ | Alucard vs Lidia | 10–8 | 55.56% |
| TRJ | Alucard vs King | 11–6 | 64.71% |
| TRJ | Alucard vs Yoshimitsu | 9–7 | 56.25% |
| TRJ | Alucard vs Eddy | 11–4 | 73.33% |
| TRJ | Alucard vs Anna | 5–10 | 33.33% |
| TRJ | Alucard vs Fahkumram | 5–10 | 33.33% |
| TRJ | Alucard vs Dragunov | 9–4 | 69.23% |
| TRJ | Alucard vs Reina | 11–2 | 84.62% |
| TRJ | Alucard vs Azucena | 9–4 | 69.23% |
| TRJ | Alucard vs Clive | 8–5 | 61.54% |
| TRJ | Alucard vs Jun | 8–2 | 80.00% |
| TRJ | Alucard vs Victor | 5–4 | 55.56% |
| TRJ | Alucard vs Raven | 6–3 | 66.67% |
| TRJ | Alucard vs Xiaoyu | 7–1 | 87.50% |
| TRJ | Alucard vs Feng | 5–3 | 62.50% |
| TRJ | Alucard vs Lili | 4–4 | 50.00% |
| TRJ | Alucard vs Alisa | 5–2 | 71.43% |
| TRJ | Alucard vs Asuka | 4–0 | 100.00% |
| TRJ | Alucard vs Shaheen | 3–1 | 75.00% |
| TRJ | Alucard vs Leroy | 3–1 | 75.00% |
| TRJ | Alucard vs Kuma | 2–1 | 66.67% |
| TRJ | Alucard vs Leo | 1–1 | 50.00% |
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.