| Crackdor vs Jin | 83–67 | 55.33% |
| Crackdor vs Law | 71–73 | 49.31% |
| Crackdor vs Kazuya | 66–71 | 48.18% |
| Crackdor vs King | 67–67 | 50.00% |
| Crackdor vs Hwoarang | 57–65 | 46.72% |
| Crackdor vs Bryan | 49–50 | 49.49% |
| Crackdor vs Steve | 53–44 | 54.64% |
| Crackdor vs Reina | 44–33 | 57.14% |
| Crackdor vs Feng | 33–43 | 43.42% |
| Crackdor vs Lee | 30–46 | 39.47% |
| Crackdor vs Dragunov | 32–42 | 43.24% |
| Crackdor vs Paul | 28–38 | 42.42% |
| Crackdor vs Lili | 28–38 | 42.42% |
| Crackdor vs Asuka | 24–41 | 36.92% |
| Crackdor vs Victor | 36–28 | 56.25% |
| Crackdor vs Azucena | 28–35 | 44.44% |
| Crackdor vs Eddy | 25–32 | 43.86% |
| Crackdor vs Jun | 25–29 | 46.30% |
| Crackdor vs Lars | 24–25 | 48.98% |
| Crackdor vs Leo | 27–20 | 57.45% |
| Crackdor vs Lidia | 18–27 | 40.00% |
| Crackdor vs Yoshimitsu | 22–22 | 50.00% |
| Crackdor vs Devil Jin | 17–22 | 43.59% |
| Crackdor vs Xiaoyu | 16–22 | 42.11% |
| Crackdor vs Nina | 17–21 | 44.74% |
| Crackdor vs Jack-8 | 16–20 | 44.44% |
| Crackdor vs Alisa | 13–21 | 38.24% |
| Crackdor vs Claudio | 19–14 | 57.58% |
| Crackdor vs Leroy | 12–20 | 37.50% |
| Crackdor vs Raven | 10–22 | 31.25% |
| Crackdor vs Shaheen | 22–9 | 70.97% |
| Crackdor vs Zafina | 19–8 | 70.37% |
| Crackdor vs Heihachi | 9–18 | 33.33% |
| Crackdor vs Kuma | 3–12 | 20.00% |
| Crackdor vs Armor King | 4–3 | 57.14% |
| Crackdor vs Miary Zo | 4–2 | 66.67% |
| Crackdor vs Panda | 0–4 | 0.00% |
| Crackdor vs Clive | 2–2 | 50.00% |
| Crackdor vs Anna | 1–3 | 25.00% |
| Crackdor vs Fahkumram | 0–4 | 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.