| icardi vs Eddy | 36–32 | 52.94% |
| icardi vs Jin | 28–9 | 75.68% |
| icardi vs Law | 23–12 | 65.71% |
| icardi vs Kazuya | 20–14 | 58.82% |
| icardi vs Reina | 22–8 | 73.33% |
| icardi vs King | 17–7 | 70.83% |
| icardi vs Alisa | 16–8 | 66.67% |
| icardi vs Hwoarang | 9–14 | 39.13% |
| icardi vs Devil Jin | 15–7 | 68.18% |
| icardi vs Nina | 11–10 | 52.38% |
| icardi vs Yoshimitsu | 13–6 | 68.42% |
| icardi vs Lili | 11–7 | 61.11% |
| icardi vs Dragunov | 7–11 | 38.89% |
| icardi vs Lars | 10–7 | 58.82% |
| icardi vs Azucena | 11–6 | 64.71% |
| icardi vs Paul | 8–7 | 53.33% |
| icardi vs Xiaoyu | 12–2 | 85.71% |
| icardi vs Bryan | 9–4 | 69.23% |
| icardi vs Feng | 7–6 | 53.85% |
| icardi vs Victor | 4–8 | 33.33% |
| icardi vs Steve | 7–4 | 63.64% |
| icardi vs Lee | 7–4 | 63.64% |
| icardi vs Asuka | 5–4 | 55.56% |
| icardi vs Fahkumram | 5–2 | 71.43% |
| icardi vs Jack-8 | 6–0 | 100.00% |
| icardi vs Jun | 4–2 | 66.67% |
| icardi vs Leo | 3–2 | 60.00% |
| icardi vs Leroy | 2–3 | 40.00% |
| icardi vs Raven | 1–4 | 20.00% |
| icardi vs Heihachi | 1–4 | 20.00% |
| icardi vs Kuma | 3–1 | 75.00% |
| icardi vs Lidia | 2–2 | 50.00% |
| icardi vs Armor King | 2–2 | 50.00% |
| icardi vs Panda | 1–2 | 33.33% |
| icardi vs Shaheen | 1–1 | 50.00% |
| icardi vs Zafina | 2–0 | 100.00% |
| icardi vs Anna | 1–1 | 50.00% |
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.