| Moe Alg vs King | 192–194 | 49.74% |
| Moe Alg vs Bryan | 200–150 | 57.14% |
| Moe Alg vs Kazuya | 156–148 | 51.32% |
| Moe Alg vs Jin | 169–130–1 | 56.52% |
| Moe Alg vs Law | 152–144 | 51.35% |
| Moe Alg vs Hwoarang | 160–119 | 57.35% |
| Moe Alg vs Steve | 131–139 | 48.52% |
| Moe Alg vs Dragunov | 141–108 | 56.63% |
| Moe Alg vs Reina | 117–112 | 51.09% |
| Moe Alg vs Yoshimitsu | 105–94 | 52.76% |
| Moe Alg vs Lili | 104–90 | 53.61% |
| Moe Alg vs Paul | 90–82 | 52.33% |
| Moe Alg vs Jun | 97–75 | 56.40% |
| Moe Alg vs Lee | 95–71 | 57.23% |
| Moe Alg vs Lars | 76–86 | 46.91% |
| Moe Alg vs Devil Jin | 65–96 | 40.37% |
| Moe Alg vs Azucena | 95–63 | 60.13% |
| Moe Alg vs Feng | 59–92 | 39.07% |
| Moe Alg vs Nina | 85–65 | 56.67% |
| Moe Alg vs Eddy | 82–59 | 58.16% |
| Moe Alg vs Xiaoyu | 79–60 | 56.83% |
| Moe Alg vs Leroy | 75–55 | 57.69% |
| Moe Alg vs Asuka | 75–54 | 58.14% |
| Moe Alg vs Heihachi | 66–61 | 51.97% |
| Moe Alg vs Victor | 68–47 | 59.13% |
| Moe Alg vs Alisa | 43–68 | 38.74% |
| Moe Alg vs Jack-8 | 42–57 | 42.42% |
| Moe Alg vs Leo | 53–44 | 54.64% |
| Moe Alg vs Lidia | 50–39 | 56.18% |
| Moe Alg vs Raven | 41–45 | 47.67% |
| Moe Alg vs Claudio | 36–44 | 45.00% |
| Moe Alg vs Fahkumram | 41–37 | 52.56% |
| Moe Alg vs Kuma | 30–44 | 40.54% |
| Moe Alg vs Shaheen | 26–37 | 41.27% |
| Moe Alg vs Armor King | 27–36 | 42.86% |
| Moe Alg vs Clive | 22–35 | 38.60% |
| Moe Alg vs Zafina | 24–29 | 45.28% |
| Moe Alg vs Anna | 19–17 | 52.78% |
| Moe Alg vs Panda | 9–13 | 40.91% |
| Moe Alg vs Miary Zo | 9–7 | 56.25% |
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.