| Clubberlang vs Jin | 33–13 | 71.74% |
| Clubberlang vs Kazuya | 20–3 | 86.96% |
| Clubberlang vs Heihachi | 16–7 | 69.57% |
| Clubberlang vs King | 15–4 | 78.95% |
| Clubberlang vs Asuka | 12–6 | 66.67% |
| Clubberlang vs Dragunov | 13–4 | 76.47% |
| Clubberlang vs Bryan | 15–0 | 100.00% |
| Clubberlang vs Yoshimitsu | 9–5 | 64.29% |
| Clubberlang vs Steve | 9–4 | 69.23% |
| Clubberlang vs Lili | 10–2 | 83.33% |
| Clubberlang vs Paul | 10–1 | 90.91% |
| Clubberlang vs Law | 8–3 | 72.73% |
| Clubberlang vs Devil Jin | 11–0 | 100.00% |
| Clubberlang vs Eddy | 8–1 | 88.89% |
| Clubberlang vs Feng | 7–1 | 87.50% |
| Clubberlang vs Victor | 5–3 | 62.50% |
| Clubberlang vs Armor King | 7–0 | 100.00% |
| Clubberlang vs Miary Zo | 3–4 | 42.86% |
| Clubberlang vs Hwoarang | 5–1 | 83.33% |
| Clubberlang vs Xiaoyu | 5–1 | 83.33% |
| Clubberlang vs Alisa | 4–2 | 66.67% |
| Clubberlang vs Leroy | 5–1 | 83.33% |
| Clubberlang vs Jun | 6–0 | 100.00% |
| Clubberlang vs Clive | 5–1 | 83.33% |
| Clubberlang vs Lars | 3–2 | 60.00% |
| Clubberlang vs Claudio | 3–2 | 60.00% |
| Clubberlang vs Nina | 4–1 | 80.00% |
| Clubberlang vs Lee | 4–1 | 80.00% |
| Clubberlang vs Reina | 5–0 | 100.00% |
| Clubberlang vs Jack-8 | 4–0 | 100.00% |
| Clubberlang vs Azucena | 3–1 | 75.00% |
| Clubberlang vs Fahkumram | 3–1 | 75.00% |
| Clubberlang vs Shaheen | 3–0 | 100.00% |
| Clubberlang vs Kuma | 1–2 | 33.33% |
| Clubberlang vs Lidia | 3–0 | 100.00% |
| Clubberlang vs Anna | 1–2 | 33.33% |
| Clubberlang vs Raven | 2–0 | 100.00% |
| Clubberlang vs Leo | 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.