| JDrizzle170 vs Steve | 6–11 | 35.29% |
| JDrizzle170 vs Clive | 4–3 | 57.14% |
| JDrizzle170 vs Kazuya | 2–4 | 33.33% |
| JDrizzle170 vs Armor King | 0–6 | 0.00% |
| JDrizzle170 vs King | 0–5 | 0.00% |
| JDrizzle170 vs Alisa | 2–3 | 40.00% |
| JDrizzle170 vs Claudio | 4–1 | 80.00% |
| JDrizzle170 vs Azucena | 3–2 | 60.00% |
| JDrizzle170 vs Jin | 0–4 | 0.00% |
| JDrizzle170 vs Yoshimitsu | 2–1 | 66.67% |
| JDrizzle170 vs Panda | 1–2 | 33.33% |
| JDrizzle170 vs Hwoarang | 0–2 | 0.00% |
| JDrizzle170 vs Lili | 2–0 | 100.00% |
| JDrizzle170 vs Lee | 0–2 | 0.00% |
| JDrizzle170 vs Kuma | 0–2 | 0.00% |
| JDrizzle170 vs Feng | 1–0 | 100.00% |
| JDrizzle170 vs Dragunov | 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.