| glennski06 vs King | 58–94 | 38.16% |
| glennski06 vs Bryan | 50–72 | 40.98% |
| glennski06 vs Paul | 50–65 | 43.48% |
| glennski06 vs Kazuya | 53–61 | 46.49% |
| glennski06 vs Law | 41–66 | 38.32% |
| glennski06 vs Jin | 37–60 | 38.14% |
| glennski06 vs Heihachi | 22–65 | 25.29% |
| glennski06 vs Dragunov | 36–43 | 45.57% |
| glennski06 vs Hwoarang | 30–40 | 42.86% |
| glennski06 vs Nina | 18–32 | 36.00% |
| glennski06 vs Devil Jin | 17–32 | 34.69% |
| glennski06 vs Clive | 18–28 | 39.13% |
| glennski06 vs Victor | 25–20 | 55.56% |
| glennski06 vs Yoshimitsu | 20–24 | 45.45% |
| glennski06 vs Steve | 22–21 | 51.16% |
| glennski06 vs Eddy | 11–31 | 26.19% |
| glennski06 vs Claudio | 18–23 | 43.90% |
| glennski06 vs Anna | 17–21 | 44.74% |
| glennski06 vs Alisa | 13–24 | 35.14% |
| glennski06 vs Azucena | 16–13 | 55.17% |
| glennski06 vs Lili | 13–14 | 48.15% |
| glennski06 vs Armor King | 10–15 | 40.00% |
| glennski06 vs Reina | 15–9 | 62.50% |
| glennski06 vs Asuka | 11–12 | 47.83% |
| glennski06 vs Xiaoyu | 9–13 | 40.91% |
| glennski06 vs Feng | 8–14 | 36.36% |
| glennski06 vs Lars | 5–16 | 23.81% |
| glennski06 vs Lee | 10–7 | 58.82% |
| glennski06 vs Jack-8 | 3–12 | 20.00% |
| glennski06 vs Jun | 7–8 | 46.67% |
| glennski06 vs Fahkumram | 3–12 | 20.00% |
| glennski06 vs Kuma | 1–9 | 10.00% |
| glennski06 vs Leroy | 2–8 | 20.00% |
| glennski06 vs Leo | 1–7 | 12.50% |
| glennski06 vs Lidia | 2–4 | 33.33% |
| glennski06 vs Shaheen | 1–4 | 20.00% |
| glennski06 vs Zafina | 2–1 | 66.67% |
| glennski06 vs Raven | 1–2 | 33.33% |
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.