| DRIZZYLLAMA vs Lili | 20–8 | 71.43% |
| DRIZZYLLAMA vs Lars | 13–10 | 56.52% |
| DRIZZYLLAMA vs King | 15–6 | 71.43% |
| DRIZZYLLAMA vs Armor King | 14–5 | 73.68% |
| DRIZZYLLAMA vs Reina | 11–7 | 61.11% |
| DRIZZYLLAMA vs Kazuya | 12–5 | 70.59% |
| DRIZZYLLAMA vs Jin | 7–9 | 43.75% |
| DRIZZYLLAMA vs Jun | 7–9 | 43.75% |
| DRIZZYLLAMA vs Eddy | 5–11 | 31.25% |
| DRIZZYLLAMA vs Hwoarang | 12–3 | 80.00% |
| DRIZZYLLAMA vs Steve | 10–5 | 66.67% |
| DRIZZYLLAMA vs Nina | 10–5 | 66.67% |
| DRIZZYLLAMA vs Raven | 8–7 | 53.33% |
| DRIZZYLLAMA vs Heihachi | 12–3 | 80.00% |
| DRIZZYLLAMA vs Law | 6–8 | 42.86% |
| DRIZZYLLAMA vs Dragunov | 7–7 | 50.00% |
| DRIZZYLLAMA vs Xiaoyu | 8–5 | 61.54% |
| DRIZZYLLAMA vs Leo | 6–7 | 46.15% |
| DRIZZYLLAMA vs Lee | 9–4 | 69.23% |
| DRIZZYLLAMA vs Lidia | 5–6 | 45.45% |
| DRIZZYLLAMA vs Yoshimitsu | 4–6 | 40.00% |
| DRIZZYLLAMA vs Alisa | 8–2 | 80.00% |
| DRIZZYLLAMA vs Miary Zo | 6–4 | 60.00% |
| DRIZZYLLAMA vs Bryan | 4–5 | 44.44% |
| DRIZZYLLAMA vs Asuka | 6–2 | 75.00% |
| DRIZZYLLAMA vs Leroy | 3–5 | 37.50% |
| DRIZZYLLAMA vs Azucena | 4–4 | 50.00% |
| DRIZZYLLAMA vs Victor | 8–0 | 100.00% |
| DRIZZYLLAMA vs Jack-8 | 2–3 | 40.00% |
| DRIZZYLLAMA vs Devil Jin | 1–4 | 20.00% |
| DRIZZYLLAMA vs Feng | 5–0 | 100.00% |
| DRIZZYLLAMA vs Kuma | 3–2 | 60.00% |
| DRIZZYLLAMA vs Claudio | 3–0 | 100.00% |
| DRIZZYLLAMA vs Anna | 0–3 | 0.00% |
| DRIZZYLLAMA vs Paul | 0–2 | 0.00% |
| DRIZZYLLAMA vs Shaheen | 0–2 | 0.00% |
| DRIZZYLLAMA vs Zafina | 2–0 | 100.00% |
| DRIZZYLLAMA vs Clive | 2–0 | 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.