| CRINGELQRD vs Reina | 44–12 | 78.57% |
| CRINGELQRD vs Kazuya | 38–16 | 70.37% |
| CRINGELQRD vs Bryan | 40–12 | 76.92% |
| CRINGELQRD vs Hwoarang | 23–16 | 58.97% |
| CRINGELQRD vs King | 15–19 | 44.12% |
| CRINGELQRD vs Jin | 23–10 | 69.70% |
| CRINGELQRD vs Steve | 19–12 | 61.29% |
| CRINGELQRD vs Jun | 21–9 | 70.00% |
| CRINGELQRD vs Paul | 18–11 | 62.07% |
| CRINGELQRD vs Asuka | 19–4 | 82.61% |
| CRINGELQRD vs Azucena | 15–8 | 65.22% |
| CRINGELQRD vs Yoshimitsu | 11–9 | 55.00% |
| CRINGELQRD vs Heihachi | 7–13 | 35.00% |
| CRINGELQRD vs Dragunov | 15–4 | 78.95% |
| CRINGELQRD vs Nina | 18–1 | 94.74% |
| CRINGELQRD vs Devil Jin | 8–9 | 47.06% |
| CRINGELQRD vs Lili | 9–6 | 60.00% |
| CRINGELQRD vs Law | 9–4 | 69.23% |
| CRINGELQRD vs Lars | 7–5 | 58.33% |
| CRINGELQRD vs Lee | 3–9 | 25.00% |
| CRINGELQRD vs Leroy | 7–5 | 58.33% |
| CRINGELQRD vs Alisa | 7–4 | 63.64% |
| CRINGELQRD vs Lidia | 4–7 | 36.36% |
| CRINGELQRD vs Anna | 9–2 | 81.82% |
| CRINGELQRD vs Claudio | 7–3 | 70.00% |
| CRINGELQRD vs Feng | 4–5 | 44.44% |
| CRINGELQRD vs Victor | 8–1 | 88.89% |
| CRINGELQRD vs Clive | 2–6 | 25.00% |
| CRINGELQRD vs Leo | 4–3 | 57.14% |
| CRINGELQRD vs Zafina | 4–3 | 57.14% |
| CRINGELQRD vs Fahkumram | 3–3 | 50.00% |
| CRINGELQRD vs Kuma | 4–1 | 80.00% |
| CRINGELQRD vs Eddy | 2–3 | 40.00% |
| CRINGELQRD vs Xiaoyu | 3–1 | 75.00% |
| CRINGELQRD vs Panda | 0–4 | 0.00% |
| CRINGELQRD vs Raven | 2–2 | 50.00% |
| CRINGELQRD vs Shaheen | 0–2 | 0.00% |
| CRINGELQRD vs Jack-8 | 0–1 | 0.00% |
| CRINGELQRD vs Armor King | 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.