| Cxshout_09 vs Steve | 8–8 | 50.00% |
| Cxshout_09 vs King | 8–6 | 57.14% |
| Cxshout_09 vs Bryan | 8–6 | 57.14% |
| Cxshout_09 vs Reina | 5–2 | 71.43% |
| Cxshout_09 vs Kazuya | 3–3 | 50.00% |
| Cxshout_09 vs Eddy | 3–3 | 50.00% |
| Cxshout_09 vs Miary Zo | 2–4 | 33.33% |
| Cxshout_09 vs Law | 2–3 | 40.00% |
| Cxshout_09 vs Lili | 5–0 | 100.00% |
| Cxshout_09 vs Lars | 2–3 | 40.00% |
| Cxshout_09 vs Azucena | 3–2 | 60.00% |
| Cxshout_09 vs Hwoarang | 1–3 | 25.00% |
| Cxshout_09 vs Jin | 2–2 | 50.00% |
| Cxshout_09 vs Leroy | 1–3 | 25.00% |
| Cxshout_09 vs Clive | 1–3 | 25.00% |
| Cxshout_09 vs Anna | 4–0 | 100.00% |
| Cxshout_09 vs Fahkumram | 2–2 | 50.00% |
| Cxshout_09 vs Dragunov | 1–2 | 33.33% |
| Cxshout_09 vs Jun | 2–1 | 66.67% |
| Cxshout_09 vs Victor | 0–3 | 0.00% |
| Cxshout_09 vs Heihachi | 0–3 | 0.00% |
| Cxshout_09 vs Yoshimitsu | 2–0 | 100.00% |
| Cxshout_09 vs Xiaoyu | 1–1 | 50.00% |
| Cxshout_09 vs Lee | 1–1 | 50.00% |
| Cxshout_09 vs Paul | 1–0 | 100.00% |
| Cxshout_09 vs Jack-8 | 1–0 | 100.00% |
| Cxshout_09 vs Asuka | 0–1 | 0.00% |
| Cxshout_09 vs Feng | 0–1 | 0.00% |
| Cxshout_09 vs Leo | 0–1 | 0.00% |
| Cxshout_09 vs Claudio | 0–1 | 0.00% |
| Cxshout_09 vs Nina | 0–1 | 0.00% |
| Cxshout_09 vs Kuma | 0–1 | 0.00% |
| Cxshout_09 vs Lidia | 1–0 | 100.00% |
| Cxshout_09 vs Armor King | 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.