| Picolito vs Jin | 24–26 | 48.00% |
| Picolito vs Hwoarang | 25–18 | 58.14% |
| Picolito vs Steve | 20–22 | 47.62% |
| Picolito vs Kazuya | 19–22 | 46.34% |
| Picolito vs King | 19–21 | 47.50% |
| Picolito vs Dragunov | 15–14 | 51.72% |
| Picolito vs Reina | 17–10 | 62.96% |
| Picolito vs Eddy | 7–20 | 25.93% |
| Picolito vs Lili | 11–14 | 44.00% |
| Picolito vs Law | 10–13 | 43.48% |
| Picolito vs Yoshimitsu | 12–11 | 52.17% |
| Picolito vs Bryan | 7–15 | 31.82% |
| Picolito vs Jun | 11–5 | 68.75% |
| Picolito vs Paul | 4–10 | 28.57% |
| Picolito vs Lars | 9–5 | 64.29% |
| Picolito vs Lidia | 8–5 | 61.54% |
| Picolito vs Lee | 7–5 | 58.33% |
| Picolito vs Azucena | 4–8 | 33.33% |
| Picolito vs Claudio | 9–2 | 81.82% |
| Picolito vs Victor | 5–5 | 50.00% |
| Picolito vs Feng | 1–8 | 11.11% |
| Picolito vs Clive | 5–4 | 55.56% |
| Picolito vs Xiaoyu | 5–2 | 71.43% |
| Picolito vs Leroy | 1–6 | 14.29% |
| Picolito vs Asuka | 2–4 | 33.33% |
| Picolito vs Nina | 2–4 | 33.33% |
| Picolito vs Kuma | 2–4 | 33.33% |
| Picolito vs Fahkumram | 6–0 | 100.00% |
| Picolito vs Jack-8 | 4–1 | 80.00% |
| Picolito vs Alisa | 1–4 | 20.00% |
| Picolito vs Shaheen | 3–2 | 60.00% |
| Picolito vs Armor King | 4–1 | 80.00% |
| Picolito vs Devil Jin | 1–3 | 25.00% |
| Picolito vs Leo | 2–1 | 66.67% |
| Picolito vs Raven | 2–1 | 66.67% |
| Picolito vs Miary Zo | 3–0 | 100.00% |
| Picolito vs Heihachi | 1–1 | 50.00% |
| Picolito vs Panda | 0–1 | 0.00% |
| Picolito vs Zafina | 0–1 | 0.00% |
| Picolito vs Anna | 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.