| Glebent1y vs Heihachi | 33–27 | 55.00% |
| Glebent1y vs Kazuya | 31–16 | 65.96% |
| Glebent1y vs King | 28–12 | 70.00% |
| Glebent1y vs Bryan | 20–12 | 62.50% |
| Glebent1y vs Hwoarang | 8–11 | 42.11% |
| Glebent1y vs Jin | 12–7 | 63.16% |
| Glebent1y vs Dragunov | 14–4 | 77.78% |
| Glebent1y vs Reina | 12–6 | 66.67% |
| Glebent1y vs Asuka | 11–5 | 68.75% |
| Glebent1y vs Lee | 8–8 | 50.00% |
| Glebent1y vs Law | 11–4 | 73.33% |
| Glebent1y vs Leo | 11–4 | 73.33% |
| Glebent1y vs Devil Jin | 6–7 | 46.15% |
| Glebent1y vs Lili | 5–8 | 38.46% |
| Glebent1y vs Alisa | 7–6 | 53.85% |
| Glebent1y vs Eddy | 7–5 | 58.33% |
| Glebent1y vs Paul | 8–3 | 72.73% |
| Glebent1y vs Victor | 5–6 | 45.45% |
| Glebent1y vs Clive | 3–8 | 27.27% |
| Glebent1y vs Steve | 9–1 | 90.00% |
| Glebent1y vs Azucena | 4–6 | 40.00% |
| Glebent1y vs Yoshimitsu | 4–5 | 44.44% |
| Glebent1y vs Jack-8 | 5–4 | 55.56% |
| Glebent1y vs Nina | 6–2 | 75.00% |
| Glebent1y vs Shaheen | 3–3 | 50.00% |
| Glebent1y vs Raven | 3–3 | 50.00% |
| Glebent1y vs Xiaoyu | 4–1 | 80.00% |
| Glebent1y vs Feng | 4–1 | 80.00% |
| Glebent1y vs Jun | 3–2 | 60.00% |
| Glebent1y vs Lidia | 0–4 | 0.00% |
| Glebent1y vs Claudio | 1–1 | 50.00% |
| Glebent1y vs Zafina | 2–0 | 100.00% |
| Glebent1y vs Lars | 1–0 | 100.00% |
| Glebent1y vs Kuma | 0–1 | 0.00% |
| Glebent1y vs Panda | 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.