| Traffaello vs Jin | 13–8 | 61.90% |
| Traffaello vs Bryan | 8–13 | 38.10% |
| Traffaello vs Kazuya | 14–3 | 82.35% |
| Traffaello vs Heihachi | 5–8 | 38.46% |
| Traffaello vs Azucena | 6–6 | 50.00% |
| Traffaello vs King | 4–6 | 40.00% |
| Traffaello vs Hwoarang | 6–4 | 60.00% |
| Traffaello vs Paul | 2–7 | 22.22% |
| Traffaello vs Reina | 5–4 | 55.56% |
| Traffaello vs Armor King | 6–1 | 85.71% |
| Traffaello vs Law | 4–2 | 66.67% |
| Traffaello vs Leo | 2–4 | 33.33% |
| Traffaello vs Asuka | 5–0 | 100.00% |
| Traffaello vs Devil Jin | 2–3 | 40.00% |
| Traffaello vs Feng | 5–0 | 100.00% |
| Traffaello vs Alisa | 1–4 | 20.00% |
| Traffaello vs Lee | 5–0 | 100.00% |
| Traffaello vs Steve | 1–3 | 25.00% |
| Traffaello vs Dragunov | 2–2 | 50.00% |
| Traffaello vs Claudio | 4–0 | 100.00% |
| Traffaello vs Victor | 4–0 | 100.00% |
| Traffaello vs Yoshimitsu | 1–2 | 33.33% |
| Traffaello vs Shaheen | 2–1 | 66.67% |
| Traffaello vs Leroy | 2–1 | 66.67% |
| Traffaello vs Raven | 2–1 | 66.67% |
| Traffaello vs Anna | 3–0 | 100.00% |
| Traffaello vs Lili | 2–0 | 100.00% |
| Traffaello vs Lars | 2–0 | 100.00% |
| Traffaello vs Kuma | 2–0 | 100.00% |
| Traffaello vs Clive | 2–0 | 100.00% |
| Traffaello vs Miary Zo | 2–0 | 100.00% |
| Traffaello vs Nina | 0–1 | 0.00% |
| Traffaello vs Jun | 1–0 | 100.00% |
| Traffaello vs Lidia | 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.