| gray_lama vs Kazuya | 58–57 | 50.43% |
| gray_lama vs Jin | 50–64 | 43.86% |
| gray_lama vs King | 50–41 | 54.95% |
| gray_lama vs Bryan | 39–41 | 48.75% |
| gray_lama vs Steve | 43–34 | 55.84% |
| gray_lama vs Hwoarang | 37–38 | 49.33% |
| gray_lama vs Reina | 35–30 | 53.85% |
| gray_lama vs Yoshimitsu | 33–30 | 52.38% |
| gray_lama vs Dragunov | 24–37 | 39.34% |
| gray_lama vs Heihachi | 32–25 | 56.14% |
| gray_lama vs Paul | 23–25 | 47.92% |
| gray_lama vs Fahkumram | 20–23 | 46.51% |
| gray_lama vs Lili | 26–16 | 61.90% |
| gray_lama vs Law | 19–22 | 46.34% |
| gray_lama vs Anna | 19–19 | 50.00% |
| gray_lama vs Jack-8 | 16–21 | 43.24% |
| gray_lama vs Jun | 15–20 | 42.86% |
| gray_lama vs Lee | 11–23 | 32.35% |
| gray_lama vs Feng | 22–10 | 68.75% |
| gray_lama vs Devil Jin | 13–17 | 43.33% |
| gray_lama vs Lars | 12–16 | 42.86% |
| gray_lama vs Victor | 17–11 | 60.71% |
| gray_lama vs Nina | 16–11 | 59.26% |
| gray_lama vs Clive | 17–8 | 68.00% |
| gray_lama vs Xiaoyu | 11–12 | 47.83% |
| gray_lama vs Asuka | 11–12 | 47.83% |
| gray_lama vs Alisa | 12–9 | 57.14% |
| gray_lama vs Lidia | 14–7 | 66.67% |
| gray_lama vs Leroy | 8–11 | 42.11% |
| gray_lama vs Azucena | 6–12 | 33.33% |
| gray_lama vs Eddy | 4–9 | 30.77% |
| gray_lama vs Leo | 5–6 | 45.45% |
| gray_lama vs Claudio | 4–7 | 36.36% |
| gray_lama vs Zafina | 6–3 | 66.67% |
| gray_lama vs Raven | 2–7 | 22.22% |
| gray_lama vs Shaheen | 2–6 | 25.00% |
| gray_lama vs Armor King | 5–0 | 100.00% |
| gray_lama vs Kuma | 0–3 | 0.00% |
| gray_lama vs Miary Zo | 3–0 | 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.