| Alca vs Paul | 197–214 | 47.93% |
| Alca vs Jin | 167–214 | 43.83% |
| Alca vs Hwoarang | 187–182 | 50.68% |
| Alca vs Kazuya | 174–190–1 | 47.80% |
| Alca vs Dragunov | 169–192 | 46.81% |
| Alca vs Reina | 164–176 | 48.24% |
| Alca vs Bryan | 168–166 | 50.30% |
| Alca vs King | 153–166 | 47.96% |
| Alca vs Lili | 128–138 | 48.12% |
| Alca vs Yoshimitsu | 121–117 | 50.84% |
| Alca vs Victor | 107–119 | 47.35% |
| Alca vs Law | 74–150 | 33.04% |
| Alca vs Asuka | 96–116 | 45.28% |
| Alca vs Alisa | 95–105 | 47.50% |
| Alca vs Steve | 79–116 | 40.51% |
| Alca vs Lidia | 97–94 | 50.79% |
| Alca vs Feng | 72–106 | 40.45% |
| Alca vs Nina | 74–95 | 43.79% |
| Alca vs Jun | 90–73 | 55.21% |
| Alca vs Lars | 67–89 | 42.95% |
| Alca vs Devil Jin | 61–91 | 40.13% |
| Alca vs Jack-8 | 74–76 | 49.33% |
| Alca vs Eddy | 60–90 | 40.00% |
| Alca vs Claudio | 61–80 | 43.26% |
| Alca vs Azucena | 67–70 | 48.91% |
| Alca vs Lee | 65–64 | 50.39% |
| Alca vs Xiaoyu | 61–53 | 53.51% |
| Alca vs Leo | 59–51 | 53.64% |
| Alca vs Leroy | 42–60 | 41.18% |
| Alca vs Heihachi | 45–41 | 52.33% |
| Alca vs Raven | 37–43 | 46.25% |
| Alca vs Zafina | 28–46 | 37.84% |
| Alca vs Shaheen | 35–38 | 47.95% |
| Alca vs Kuma | 31–34 | 47.69% |
| Alca vs Panda | 17–28 | 37.78% |
| Alca vs Clive | 20–13 | 60.61% |
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.