| CrackKick vs Kazuya | 103–57 | 64.38% |
| CrackKick vs King | 108–41 | 72.48% |
| CrackKick vs Bryan | 60–61 | 49.59% |
| CrackKick vs Law | 59–41 | 59.00% |
| CrackKick vs Jin | 55–42 | 56.70% |
| CrackKick vs Dragunov | 48–44 | 52.17% |
| CrackKick vs Paul | 51–32 | 61.45% |
| CrackKick vs Devil Jin | 42–35 | 54.55% |
| CrackKick vs Hwoarang | 38–38 | 50.00% |
| CrackKick vs Reina | 47–27 | 63.51% |
| CrackKick vs Steve | 41–30 | 57.75% |
| CrackKick vs Victor | 25–28 | 47.17% |
| CrackKick vs Yoshimitsu | 31–17 | 64.58% |
| CrackKick vs Heihachi | 28–19 | 59.57% |
| CrackKick vs Armor King | 23–17 | 57.50% |
| CrackKick vs Jack-8 | 18–19 | 48.65% |
| CrackKick vs Feng | 18–19 | 48.65% |
| CrackKick vs Lars | 24–13 | 64.86% |
| CrackKick vs Lili | 23–12 | 65.71% |
| CrackKick vs Claudio | 21–14 | 60.00% |
| CrackKick vs Lidia | 23–9 | 71.88% |
| CrackKick vs Alisa | 19–12 | 61.29% |
| CrackKick vs Nina | 9–20 | 31.03% |
| CrackKick vs Lee | 10–18 | 35.71% |
| CrackKick vs Jun | 14–13 | 51.85% |
| CrackKick vs Fahkumram | 10–17 | 37.04% |
| CrackKick vs Asuka | 18–8 | 69.23% |
| CrackKick vs Xiaoyu | 14–10 | 58.33% |
| CrackKick vs Azucena | 17–7 | 70.83% |
| CrackKick vs Leroy | 9–11 | 45.00% |
| CrackKick vs Raven | 11–8 | 57.89% |
| CrackKick vs Clive | 9–7 | 56.25% |
| CrackKick vs Leo | 7–7 | 50.00% |
| CrackKick vs Anna | 3–10 | 23.08% |
| CrackKick vs Zafina | 7–5 | 58.33% |
| CrackKick vs Eddy | 5–7 | 41.67% |
| CrackKick vs Kuma | 6–5 | 54.55% |
| CrackKick vs Shaheen | 2–4 | 33.33% |
| CrackKick vs Panda | 0–2 | 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.