| Maji-GyaG vs Kazuya | 103–112 | 47.91% |
| Maji-GyaG vs Bryan | 110–93 | 54.19% |
| Maji-GyaG vs Dragunov | 94–106 | 47.00% |
| Maji-GyaG vs Paul | 100–99 | 50.25% |
| Maji-GyaG vs King | 93–100 | 48.19% |
| Maji-GyaG vs Hwoarang | 83–94 | 46.89% |
| Maji-GyaG vs Jin | 80–84 | 48.78% |
| Maji-GyaG vs Reina | 86–64 | 57.33% |
| Maji-GyaG vs Victor | 65–82 | 44.22% |
| Maji-GyaG vs Steve | 62–83 | 42.76% |
| Maji-GyaG vs Lidia | 46–77 | 37.40% |
| Maji-GyaG vs Asuka | 67–54 | 55.37% |
| Maji-GyaG vs Yoshimitsu | 54–64 | 45.76% |
| Maji-GyaG vs Feng | 54–60 | 47.37% |
| Maji-GyaG vs Azucena | 52–61 | 46.02% |
| Maji-GyaG vs Lee | 60–50 | 54.55% |
| Maji-GyaG vs Jun | 51–59 | 46.36% |
| Maji-GyaG vs Law | 47–56 | 45.63% |
| Maji-GyaG vs Lili | 59–43 | 57.84% |
| Maji-GyaG vs Heihachi | 44–48 | 47.83% |
| Maji-GyaG vs Devil Jin | 41–50 | 45.05% |
| Maji-GyaG vs Armor King | 48–39 | 55.17% |
| Maji-GyaG vs Claudio | 39–44 | 46.99% |
| Maji-GyaG vs Lars | 36–44 | 45.00% |
| Maji-GyaG vs Nina | 43–35 | 55.13% |
| Maji-GyaG vs Xiaoyu | 36–38 | 48.65% |
| Maji-GyaG vs Eddy | 23–40 | 36.51% |
| Maji-GyaG vs Jack-8 | 20–42 | 32.26% |
| Maji-GyaG vs Alisa | 32–29 | 52.46% |
| Maji-GyaG vs Shaheen | 24–36 | 40.00% |
| Maji-GyaG vs Leo | 28–27 | 50.91% |
| Maji-GyaG vs Kuma | 23–30 | 43.40% |
| Maji-GyaG vs Leroy | 26–24 | 52.00% |
| Maji-GyaG vs Raven | 13–29 | 30.95% |
| Maji-GyaG vs Anna | 16–16 | 50.00% |
| Maji-GyaG vs Zafina | 10–16 | 38.46% |
| Maji-GyaG vs Panda | 10–15 | 40.00% |
| Maji-GyaG vs Fahkumram | 2–18 | 10.00% |
| Maji-GyaG vs Miary Zo | 7–12 | 36.84% |
| Maji-GyaG vs Clive | 8–8 | 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.