| ercolino135 vs Hwoarang | 12–15 | 44.44% |
| ercolino135 vs Dragunov | 8–10 | 44.44% |
| ercolino135 vs Kazuya | 7–10 | 41.18% |
| ercolino135 vs Jin | 7–9 | 43.75% |
| ercolino135 vs Steve | 7–9 | 43.75% |
| ercolino135 vs Yoshimitsu | 4–11 | 26.67% |
| ercolino135 vs Reina | 3–12 | 20.00% |
| ercolino135 vs King | 8–4 | 66.67% |
| ercolino135 vs Lili | 6–6 | 50.00% |
| ercolino135 vs Miary Zo | 4–7 | 36.36% |
| ercolino135 vs Leo | 4–6 | 40.00% |
| ercolino135 vs Eddy | 5–5 | 50.00% |
| ercolino135 vs Armor King | 7–3 | 70.00% |
| ercolino135 vs Alisa | 7–2 | 77.78% |
| ercolino135 vs Nina | 4–4 | 50.00% |
| ercolino135 vs Kuma | 6–2 | 75.00% |
| ercolino135 vs Azucena | 1–7 | 12.50% |
| ercolino135 vs Lidia | 6–2 | 75.00% |
| ercolino135 vs Heihachi | 1–7 | 12.50% |
| ercolino135 vs Law | 6–1 | 85.71% |
| ercolino135 vs Jun | 4–3 | 57.14% |
| ercolino135 vs Victor | 2–5 | 28.57% |
| ercolino135 vs Xiaoyu | 2–4 | 33.33% |
| ercolino135 vs Bryan | 2–4 | 33.33% |
| ercolino135 vs Paul | 4–1 | 80.00% |
| ercolino135 vs Asuka | 4–1 | 80.00% |
| ercolino135 vs Claudio | 2–3 | 40.00% |
| ercolino135 vs Lee | 0–5 | 0.00% |
| ercolino135 vs Anna | 4–1 | 80.00% |
| ercolino135 vs Raven | 1–3 | 25.00% |
| ercolino135 vs Clive | 2–2 | 50.00% |
| ercolino135 vs Feng | 0–3 | 0.00% |
| ercolino135 vs Panda | 0–3 | 0.00% |
| ercolino135 vs Fahkumram | 2–1 | 66.67% |
| ercolino135 vs Shaheen | 1–1 | 50.00% |
| ercolino135 vs Leroy | 2–0 | 100.00% |
| ercolino135 vs Devil Jin | 1–0 | 100.00% |
| ercolino135 vs Zafina | 0–1 | 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.