| Diddler.209 vs Hwoarang | 3–4 | 42.86% |
| Diddler.209 vs Azucena | 3–4 | 42.86% |
| Diddler.209 vs Law | 1–5 | 16.67% |
| Diddler.209 vs King | 0–5 | 0.00% |
| Diddler.209 vs Victor | 1–4 | 20.00% |
| Diddler.209 vs Jin | 1–3 | 25.00% |
| Diddler.209 vs Kazuya | 0–4 | 0.00% |
| Diddler.209 vs Steve | 0–4 | 0.00% |
| Diddler.209 vs Reina | 1–2 | 33.33% |
| Diddler.209 vs Alisa | 0–2 | 0.00% |
| Diddler.209 vs Kuma | 0–2 | 0.00% |
| Diddler.209 vs Yoshimitsu | 2–0 | 100.00% |
| Diddler.209 vs Dragunov | 2–0 | 100.00% |
| Diddler.209 vs Claudio | 1–1 | 50.00% |
| Diddler.209 vs Panda | 0–2 | 0.00% |
| Diddler.209 vs Jun | 0–2 | 0.00% |
| Diddler.209 vs Xiaoyu | 0–1 | 0.00% |
| Diddler.209 vs Shaheen | 0–1 | 0.00% |
| Diddler.209 vs Feng | 0–1 | 0.00% |
| Diddler.209 vs Lee | 1–0 | 100.00% |
| Diddler.209 vs Zafina | 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.