Name history
| Glinda | |
| Glinda Williams | |
| Rare Shaheen | |
| Noob Reina Lily | |
| Noob Lili | |
| Sparky(^^) | |
| Smurf=NoRematch | |
| IntrovertReina | |
| KumaisToxic | |
| TIO!!! Student | |
| Tier |
| Glinda vs Kazuya | 55–17 | 76.39% |
| Glinda vs Jin | 34–12–1 | 73.91% |
| Glinda vs Reina | 31–13 | 70.45% |
| Glinda vs Bryan | 22–16 | 57.89% |
| Glinda vs Dragunov | 19–14 | 57.58% |
| Glinda vs King | 24–8 | 75.00% |
| Glinda vs Asuka | 23–5 | 82.14% |
| Glinda vs Law | 25–2 | 92.59% |
| Glinda vs Hwoarang | 19–8 | 70.37% |
| Glinda vs Steve | 19–5 | 79.17% |
| Glinda vs Heihachi | 16–7 | 69.57% |
| Glinda vs Devil Jin | 17–5 | 77.27% |
| Glinda vs Lidia | 17–5 | 77.27% |
| Glinda vs Yoshimitsu | 16–4 | 80.00% |
| Glinda vs Azucena | 11–9 | 55.00% |
| Glinda vs Anna | 9–10 | 47.37% |
| Glinda vs Lee | 14–2 | 87.50% |
| Glinda vs Leroy | 12–2 | 85.71% |
| Glinda vs Jun | 12–2 | 85.71% |
| Glinda vs Feng | 10–3 | 76.92% |
| Glinda vs Alisa | 12–1 | 92.31% |
| Glinda vs Victor | 12–1 | 92.31% |
| Glinda vs Clive | 11–2 | 84.62% |
| Glinda vs Eddy | 10–2 | 83.33% |
| Glinda vs Paul | 9–2 | 81.82% |
| Glinda vs Nina | 8–2 | 80.00% |
| Glinda vs Fahkumram | 6–4 | 60.00% |
| Glinda vs Xiaoyu | 8–1 | 88.89% |
| Glinda vs Lili | 9–0 | 100.00% |
| Glinda vs Leo | 5–3 | 62.50% |
| Glinda vs Kuma | 7–1 | 87.50% |
| Glinda vs Zafina | 7–1 | 87.50% |
| Glinda vs Jack-8 | 5–2 | 71.43% |
| Glinda vs Lars | 3–3 | 50.00% |
| Glinda vs Panda | 3–3 | 50.00% |
| Glinda vs Armor King | 6–0 | 100.00% |
| Glinda vs Shaheen | 2–2 | 50.00% |
| Glinda vs Raven | 1–1 | 50.00% |
| Glinda vs Claudio | 1–0 | 100.00% |
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.