| STARGLAS vs Reina | 54–63 | 46.15% |
| STARGLAS vs Kazuya | 46–69 | 40.00% |
| STARGLAS vs Jin | 49–58 | 45.79% |
| STARGLAS vs Hwoarang | 43–61 | 41.35% |
| STARGLAS vs Dragunov | 42–57 | 42.42% |
| STARGLAS vs Paul | 41–52 | 44.09% |
| STARGLAS vs Victor | 34–45 | 43.04% |
| STARGLAS vs Devil Jin | 31–46 | 40.26% |
| STARGLAS vs Heihachi | 23–51 | 31.08% |
| STARGLAS vs Law | 31–41 | 43.06% |
| STARGLAS vs King | 33–38 | 46.48% |
| STARGLAS vs Asuka | 37–27 | 57.81% |
| STARGLAS vs Bryan | 43–20 | 68.25% |
| STARGLAS vs Steve | 24–37 | 39.34% |
| STARGLAS vs Xiaoyu | 21–37 | 36.21% |
| STARGLAS vs Lili | 23–32 | 41.82% |
| STARGLAS vs Yoshimitsu | 20–29 | 40.82% |
| STARGLAS vs Azucena | 25–23 | 52.08% |
| STARGLAS vs Jun | 23–20 | 53.49% |
| STARGLAS vs Eddy | 20–18 | 52.63% |
| STARGLAS vs Lars | 13–19 | 40.62% |
| STARGLAS vs Alisa | 11–21 | 34.38% |
| STARGLAS vs Lidia | 14–18 | 43.75% |
| STARGLAS vs Lee | 17–14 | 54.84% |
| STARGLAS vs Leo | 9–21 | 30.00% |
| STARGLAS vs Jack-8 | 15–12 | 55.56% |
| STARGLAS vs Leroy | 10–15 | 40.00% |
| STARGLAS vs Shaheen | 10–13 | 43.48% |
| STARGLAS vs Clive | 8–14 | 36.36% |
| STARGLAS vs Claudio | 7–14 | 33.33% |
| STARGLAS vs Nina | 10–11 | 47.62% |
| STARGLAS vs Kuma | 3–18 | 14.29% |
| STARGLAS vs Feng | 7–11 | 38.89% |
| STARGLAS vs Raven | 5–11 | 31.25% |
| STARGLAS vs Panda | 2–5 | 28.57% |
| STARGLAS vs Fahkumram | 3–3 | 50.00% |
| STARGLAS vs Zafina | 0–5 | 0.00% |
| STARGLAS vs Anna | 0–2 | 0.00% |
| STARGLAS vs Armor King | 2–0 | 100.00% |
| STARGLAS vs Miary Zo | 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.