| CounterHit vs Dragunov | 9–15 | 37.50% |
| CounterHit vs Lili | 8–14 | 36.36% |
| CounterHit vs Reina | 11–6 | 64.71% |
| CounterHit vs Paul | 3–13 | 18.75% |
| CounterHit vs King | 8–5 | 61.54% |
| CounterHit vs Hwoarang | 4–9 | 30.77% |
| CounterHit vs Victor | 7–5 | 58.33% |
| CounterHit vs Azucena | 3–7 | 30.00% |
| CounterHit vs Alisa | 5–4 | 55.56% |
| CounterHit vs Jin | 2–6 | 25.00% |
| CounterHit vs Kazuya | 4–4 | 50.00% |
| CounterHit vs Law | 3–4 | 42.86% |
| CounterHit vs Bryan | 2–5 | 28.57% |
| CounterHit vs Steve | 4–2 | 66.67% |
| CounterHit vs Asuka | 2–4 | 33.33% |
| CounterHit vs Devil Jin | 2–4 | 33.33% |
| CounterHit vs Jun | 0–6 | 0.00% |
| CounterHit vs Heihachi | 1–4 | 20.00% |
| CounterHit vs Lars | 1–3 | 25.00% |
| CounterHit vs Nina | 0–4 | 0.00% |
| CounterHit vs Yoshimitsu | 0–3 | 0.00% |
| CounterHit vs Leroy | 1–2 | 33.33% |
| CounterHit vs Eddy | 0–3 | 0.00% |
| CounterHit vs Clive | 2–1 | 66.67% |
| CounterHit vs Xiaoyu | 2–0 | 100.00% |
| CounterHit vs Jack-8 | 1–1 | 50.00% |
| CounterHit vs Feng | 0–2 | 0.00% |
| CounterHit vs Shaheen | 1–1 | 50.00% |
| CounterHit vs Kuma | 0–2 | 0.00% |
| CounterHit vs Panda | 0–2 | 0.00% |
| CounterHit vs Zafina | 1–1 | 50.00% |
| CounterHit vs Raven | 2–0 | 100.00% |
| CounterHit vs Lidia | 2–0 | 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.