| CrimCram vs King | 46–53 | 46.46% |
| CrimCram vs Jin | 46–50 | 47.92% |
| CrimCram vs Kazuya | 44–51 | 46.32% |
| CrimCram vs Bryan | 43–40 | 51.81% |
| CrimCram vs Reina | 37–41 | 47.44% |
| CrimCram vs Law | 30–37 | 44.78% |
| CrimCram vs Eddy | 32–32 | 50.00% |
| CrimCram vs Hwoarang | 28–32–1 | 46.67% |
| CrimCram vs Steve | 36–25 | 59.02% |
| CrimCram vs Paul | 25–30 | 45.45% |
| CrimCram vs Dragunov | 27–27 | 50.00% |
| CrimCram vs Jun | 24–30 | 44.44% |
| CrimCram vs Lili | 24–24 | 50.00% |
| CrimCram vs Azucena | 15–31 | 32.61% |
| CrimCram vs Clive | 20–26 | 43.48% |
| CrimCram vs Armor King | 20–26 | 43.48% |
| CrimCram vs Heihachi | 21–23 | 47.73% |
| CrimCram vs Yoshimitsu | 17–19 | 47.22% |
| CrimCram vs Victor | 12–24 | 33.33% |
| CrimCram vs Xiaoyu | 17–15 | 53.12% |
| CrimCram vs Feng | 13–17 | 43.33% |
| CrimCram vs Asuka | 15–14 | 51.72% |
| CrimCram vs Lidia | 13–16 | 44.83% |
| CrimCram vs Lars | 10–18 | 35.71% |
| CrimCram vs Leo | 13–14 | 48.15% |
| CrimCram vs Lee | 9–17 | 34.62% |
| CrimCram vs Jack-8 | 18–7 | 72.00% |
| CrimCram vs Leroy | 18–5 | 78.26% |
| CrimCram vs Claudio | 7–13 | 35.00% |
| CrimCram vs Nina | 8–8 | 50.00% |
| CrimCram vs Alisa | 6–8 | 42.86% |
| CrimCram vs Kuma | 7–7 | 50.00% |
| CrimCram vs Anna | 4–9 | 30.77% |
| CrimCram vs Fahkumram | 2–9 | 18.18% |
| CrimCram vs Devil Jin | 2–7 | 22.22% |
| CrimCram vs Shaheen | 4–5 | 44.44% |
| CrimCram vs Panda | 1–6 | 14.29% |
| CrimCram vs Raven | 0–6 | 0.00% |
| CrimCram vs Zafina | 5–0 | 100.00% |
| CrimCram vs Miary Zo | 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.