| MicklePickle vs Clive | 33–19 | 63.46% |
| MicklePickle vs Kazuya | 26–22 | 54.17% |
| MicklePickle vs Jin | 31–16 | 65.96% |
| MicklePickle vs Asuka | 23–10 | 69.70% |
| MicklePickle vs King | 21–6 | 77.78% |
| MicklePickle vs Steve | 16–8 | 66.67% |
| MicklePickle vs Yoshimitsu | 17–5 | 77.27% |
| MicklePickle vs Hwoarang | 14–7 | 66.67% |
| MicklePickle vs Dragunov | 14–7 | 66.67% |
| MicklePickle vs Heihachi | 11–10 | 52.38% |
| MicklePickle vs Bryan | 11–9 | 55.00% |
| MicklePickle vs Jun | 9–7 | 56.25% |
| MicklePickle vs Jack-8 | 7–7 | 50.00% |
| MicklePickle vs Azucena | 10–4 | 71.43% |
| MicklePickle vs Xiaoyu | 6–7 | 46.15% |
| MicklePickle vs Law | 6–6 | 50.00% |
| MicklePickle vs Nina | 6–6 | 50.00% |
| MicklePickle vs Reina | 8–4 | 66.67% |
| MicklePickle vs Eddy | 3–9 | 25.00% |
| MicklePickle vs Lidia | 9–3 | 75.00% |
| MicklePickle vs Lee | 7–4 | 63.64% |
| MicklePickle vs Paul | 8–2 | 80.00% |
| MicklePickle vs Alisa | 6–3 | 66.67% |
| MicklePickle vs Claudio | 5–4 | 55.56% |
| MicklePickle vs Victor | 2–6 | 25.00% |
| MicklePickle vs Raven | 7–1 | 87.50% |
| MicklePickle vs Fahkumram | 4–4 | 50.00% |
| MicklePickle vs Leo | 4–2 | 66.67% |
| MicklePickle vs Zafina | 4–2 | 66.67% |
| MicklePickle vs Leroy | 3–3 | 50.00% |
| MicklePickle vs Feng | 3–2 | 60.00% |
| MicklePickle vs Shaheen | 4–1 | 80.00% |
| MicklePickle vs Devil Jin | 2–2 | 50.00% |
| MicklePickle vs Lili | 2–2 | 50.00% |
| MicklePickle vs Lars | 2–1 | 66.67% |
| MicklePickle vs Kuma | 0–2 | 0.00% |
| MicklePickle vs Armor King | 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.