| GlizzyGlobber vs Heihachi | 102–98 | 51.00% |
| GlizzyGlobber vs Kazuya | 91–66 | 57.96% |
| GlizzyGlobber vs Jin | 76–66 | 53.52% |
| GlizzyGlobber vs Steve | 80–60 | 57.14% |
| GlizzyGlobber vs Bryan | 63–74 | 45.99% |
| GlizzyGlobber vs Reina | 79–54 | 59.40% |
| GlizzyGlobber vs King | 69–56 | 55.20% |
| GlizzyGlobber vs Lili | 44–38 | 53.66% |
| GlizzyGlobber vs Asuka | 33–45 | 42.31% |
| GlizzyGlobber vs Paul | 32–44 | 42.11% |
| GlizzyGlobber vs Dragunov | 38–37 | 50.67% |
| GlizzyGlobber vs Azucena | 39–34 | 53.42% |
| GlizzyGlobber vs Lee | 37–34 | 52.11% |
| GlizzyGlobber vs Lidia | 36–35 | 50.70% |
| GlizzyGlobber vs Hwoarang | 38–31 | 55.07% |
| GlizzyGlobber vs Jun | 31–37 | 45.59% |
| GlizzyGlobber vs Devil Jin | 38–24 | 61.29% |
| GlizzyGlobber vs Raven | 31–29 | 51.67% |
| GlizzyGlobber vs Eddy | 31–28 | 52.54% |
| GlizzyGlobber vs Law | 26–32 | 44.83% |
| GlizzyGlobber vs Leo | 22–36 | 37.93% |
| GlizzyGlobber vs Nina | 27–29 | 48.21% |
| GlizzyGlobber vs Xiaoyu | 24–30 | 44.44% |
| GlizzyGlobber vs Yoshimitsu | 22–27 | 44.90% |
| GlizzyGlobber vs Leroy | 26–21 | 55.32% |
| GlizzyGlobber vs Alisa | 15–28 | 34.88% |
| GlizzyGlobber vs Jack-8 | 22–18 | 55.00% |
| GlizzyGlobber vs Shaheen | 20–19 | 51.28% |
| GlizzyGlobber vs Lars | 13–23 | 36.11% |
| GlizzyGlobber vs Zafina | 17–18 | 48.57% |
| GlizzyGlobber vs Victor | 15–19 | 44.12% |
| GlizzyGlobber vs Clive | 20–14 | 58.82% |
| GlizzyGlobber vs Feng | 10–16 | 38.46% |
| GlizzyGlobber vs Claudio | 6–18 | 25.00% |
| GlizzyGlobber vs Panda | 7–6 | 53.85% |
| GlizzyGlobber vs Kuma | 6–6 | 50.00% |
| GlizzyGlobber vs Anna | 5–3 | 62.50% |
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.