| Cirelc vs Jin | 28–30 | 48.28% |
| Cirelc vs Kazuya | 28–10 | 73.68% |
| Cirelc vs Hwoarang | 12–17 | 41.38% |
| Cirelc vs Xiaoyu | 15–12 | 55.56% |
| Cirelc vs King | 12–14 | 46.15% |
| Cirelc vs Paul | 13–12 | 52.00% |
| Cirelc vs Reina | 13–8 | 61.90% |
| Cirelc vs Bryan | 12–8 | 60.00% |
| Cirelc vs Steve | 16–4 | 80.00% |
| Cirelc vs Dragunov | 9–11 | 45.00% |
| Cirelc vs Nina | 10–9 | 52.63% |
| Cirelc vs Yoshimitsu | 10–8 | 55.56% |
| Cirelc vs Feng | 6–9 | 40.00% |
| Cirelc vs Jun | 12–3 | 80.00% |
| Cirelc vs Lili | 11–3 | 78.57% |
| Cirelc vs Victor | 7–6 | 53.85% |
| Cirelc vs Heihachi | 7–6 | 53.85% |
| Cirelc vs Asuka | 7–3 | 70.00% |
| Cirelc vs Law | 3–5 | 37.50% |
| Cirelc vs Devil Jin | 2–6 | 25.00% |
| Cirelc vs Eddy | 4–3 | 57.14% |
| Cirelc vs Fahkumram | 2–5 | 28.57% |
| Cirelc vs Alisa | 2–4 | 33.33% |
| Cirelc vs Shaheen | 3–3 | 50.00% |
| Cirelc vs Lee | 4–2 | 66.67% |
| Cirelc vs Azucena | 2–4 | 33.33% |
| Cirelc vs Claudio | 3–2 | 60.00% |
| Cirelc vs Leroy | 5–0 | 100.00% |
| Cirelc vs Anna | 3–2 | 60.00% |
| Cirelc vs Lars | 2–2 | 50.00% |
| Cirelc vs Lidia | 0–4 | 0.00% |
| Cirelc vs Clive | 2–2 | 50.00% |
| Cirelc vs Jack-8 | 2–1 | 66.67% |
| Cirelc vs Leo | 1–2 | 33.33% |
| Cirelc vs Zafina | 1–2 | 33.33% |
| Cirelc vs Kuma | 1–1 | 50.00% |
| Cirelc vs Armor King | 0–2 | 0.00% |
| Cirelc vs Raven | 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.