| M_Curtis vs Kazuya | 13–24 | 35.14% |
| M_Curtis vs Hwoarang | 20–16 | 55.56% |
| M_Curtis vs Steve | 13–16 | 44.83% |
| M_Curtis vs King | 8–12 | 40.00% |
| M_Curtis vs Dragunov | 5–14 | 26.32% |
| M_Curtis vs Yoshimitsu | 10–8 | 55.56% |
| M_Curtis vs Eddy | 9–9 | 50.00% |
| M_Curtis vs Claudio | 5–12 | 29.41% |
| M_Curtis vs Law | 6–10 | 37.50% |
| M_Curtis vs Jin | 8–7 | 53.33% |
| M_Curtis vs Reina | 7–7 | 50.00% |
| M_Curtis vs Paul | 9–4 | 69.23% |
| M_Curtis vs Nina | 5–8 | 38.46% |
| M_Curtis vs Armor King | 3–10 | 23.08% |
| M_Curtis vs Bryan | 4–8 | 33.33% |
| M_Curtis vs Azucena | 8–2 | 80.00% |
| M_Curtis vs Victor | 3–6 | 33.33% |
| M_Curtis vs Devil Jin | 1–7 | 12.50% |
| M_Curtis vs Lili | 6–2 | 75.00% |
| M_Curtis vs Leroy | 3–5 | 37.50% |
| M_Curtis vs Raven | 2–6 | 25.00% |
| M_Curtis vs Xiaoyu | 1–5 | 16.67% |
| M_Curtis vs Fahkumram | 3–3 | 50.00% |
| M_Curtis vs Lars | 2–3 | 40.00% |
| M_Curtis vs Alisa | 2–3 | 40.00% |
| M_Curtis vs Jack-8 | 4–0 | 100.00% |
| M_Curtis vs Asuka | 2–2 | 50.00% |
| M_Curtis vs Lee | 2–2 | 50.00% |
| M_Curtis vs Lidia | 3–1 | 75.00% |
| M_Curtis vs Heihachi | 0–4 | 0.00% |
| M_Curtis vs Clive | 4–0 | 100.00% |
| M_Curtis vs Panda | 1–2 | 33.33% |
| M_Curtis vs Jun | 0–3 | 0.00% |
| M_Curtis vs Anna | 2–1 | 66.67% |
| M_Curtis vs Miary Zo | 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.