| CLO4G63 vs Reina | 35–19 | 64.81% |
| CLO4G63 vs Bryan | 19–27 | 41.30% |
| CLO4G63 vs King | 16–25 | 39.02% |
| CLO4G63 vs Jin | 19–18 | 51.35% |
| CLO4G63 vs Steve | 24–13 | 64.86% |
| CLO4G63 vs Yoshimitsu | 19–13 | 59.38% |
| CLO4G63 vs Kazuya | 16–14 | 53.33% |
| CLO4G63 vs Hwoarang | 15–14 | 51.72% |
| CLO4G63 vs Law | 17–9 | 65.38% |
| CLO4G63 vs Jun | 11–15 | 42.31% |
| CLO4G63 vs Azucena | 11–12 | 47.83% |
| CLO4G63 vs Eddy | 7–16 | 30.43% |
| CLO4G63 vs Dragunov | 12–9 | 57.14% |
| CLO4G63 vs Leroy | 8–13 | 38.10% |
| CLO4G63 vs Lee | 9–11 | 45.00% |
| CLO4G63 vs Paul | 5–14 | 26.32% |
| CLO4G63 vs Asuka | 9–9 | 50.00% |
| CLO4G63 vs Lars | 8–9 | 47.06% |
| CLO4G63 vs Heihachi | 5–12 | 29.41% |
| CLO4G63 vs Victor | 10–6 | 62.50% |
| CLO4G63 vs Xiaoyu | 5–9 | 35.71% |
| CLO4G63 vs Leo | 7–7 | 50.00% |
| CLO4G63 vs Feng | 8–4 | 66.67% |
| CLO4G63 vs Lili | 8–4 | 66.67% |
| CLO4G63 vs Raven | 9–3 | 75.00% |
| CLO4G63 vs Kuma | 5–6 | 45.45% |
| CLO4G63 vs Jack-8 | 6–4 | 60.00% |
| CLO4G63 vs Alisa | 7–1 | 87.50% |
| CLO4G63 vs Zafina | 4–2 | 66.67% |
| CLO4G63 vs Armor King | 6–0 | 100.00% |
| CLO4G63 vs Claudio | 2–3 | 40.00% |
| CLO4G63 vs Nina | 5–0 | 100.00% |
| CLO4G63 vs Lidia | 1–4 | 20.00% |
| CLO4G63 vs Devil Jin | 2–2 | 50.00% |
| CLO4G63 vs Shaheen | 0–3 | 0.00% |
| CLO4G63 vs Panda | 0–2 | 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.