| Crackless vs Heihachi | 27–13 | 67.50% |
| Crackless vs Kazuya | 25–11 | 69.44% |
| Crackless vs Bryan | 25–6 | 80.65% |
| Crackless vs Jin | 20–6 | 76.92% |
| Crackless vs Paul | 16–8 | 66.67% |
| Crackless vs Reina | 11–10 | 52.38% |
| Crackless vs Yoshimitsu | 14–6 | 70.00% |
| Crackless vs Hwoarang | 17–1 | 94.44% |
| Crackless vs Devil Jin | 7–8 | 46.67% |
| Crackless vs Lili | 11–4 | 73.33% |
| Crackless vs Law | 11–2–1 | 84.62% |
| Crackless vs King | 9–4 | 69.23% |
| Crackless vs Dragunov | 8–5 | 61.54% |
| Crackless vs Lars | 8–5 | 61.54% |
| Crackless vs Azucena | 10–2 | 83.33% |
| Crackless vs Alisa | 8–3 | 72.73% |
| Crackless vs Victor | 8–3 | 72.73% |
| Crackless vs Armor King | 7–4 | 63.64% |
| Crackless vs Asuka | 8–2 | 80.00% |
| Crackless vs Feng | 7–3 | 70.00% |
| Crackless vs Claudio | 9–1 | 90.00% |
| Crackless vs Fahkumram | 7–3 | 70.00% |
| Crackless vs Jun | 5–4 | 55.56% |
| Crackless vs Raven | 7–1 | 87.50% |
| Crackless vs Lidia | 7–1 | 87.50% |
| Crackless vs Steve | 5–2 | 71.43% |
| Crackless vs Jack-8 | 5–2 | 71.43% |
| Crackless vs Leroy | 5–2 | 71.43% |
| Crackless vs Shaheen | 6–0 | 100.00% |
| Crackless vs Nina | 5–1 | 83.33% |
| Crackless vs Lee | 4–2 | 66.67% |
| Crackless vs Eddy | 2–4 | 33.33% |
| Crackless vs Clive | 5–0 | 100.00% |
| Crackless vs Leo | 2–2 | 50.00% |
| Crackless vs Miary Zo | 2–2 | 50.00% |
| Crackless vs Xiaoyu | 2–1 | 66.67% |
| Crackless vs Zafina | 2–1 | 66.67% |
| Crackless vs Kuma | 2–0 | 100.00% |
| Crackless vs Anna | 2–0 | 100.00% |
| Crackless vs Panda | 1–0 | 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.