| Icup vs King | 24–40 | 37.50% |
| Icup vs Jin | 34–21 | 61.82% |
| Icup vs Steve | 30–17 | 63.83% |
| Icup vs Reina | 22–22 | 50.00% |
| Icup vs Kazuya | 20–22 | 47.62% |
| Icup vs Hwoarang | 22–17 | 56.41% |
| Icup vs Lidia | 14–21 | 40.00% |
| Icup vs Eddy | 12–17 | 41.38% |
| Icup vs Nina | 12–14 | 46.15% |
| Icup vs Dragunov | 11–14 | 44.00% |
| Icup vs Clive | 7–16 | 30.43% |
| Icup vs Lars | 10–11 | 47.62% |
| Icup vs Lili | 10–9 | 52.63% |
| Icup vs Lee | 8–10 | 44.44% |
| Icup vs Jun | 11–7 | 61.11% |
| Icup vs Miary Zo | 8–10 | 44.44% |
| Icup vs Paul | 10–7 | 58.82% |
| Icup vs Bryan | 7–10 | 41.18% |
| Icup vs Yoshimitsu | 7–9 | 43.75% |
| Icup vs Victor | 8–8 | 50.00% |
| Icup vs Law | 3–10 | 23.08% |
| Icup vs Xiaoyu | 6–7 | 46.15% |
| Icup vs Devil Jin | 8–5 | 61.54% |
| Icup vs Azucena | 9–4 | 69.23% |
| Icup vs Asuka | 4–8 | 33.33% |
| Icup vs Leo | 2–9 | 18.18% |
| Icup vs Leroy | 5–5 | 50.00% |
| Icup vs Alisa | 1–8 | 11.11% |
| Icup vs Zafina | 4–4 | 50.00% |
| Icup vs Raven | 3–5 | 37.50% |
| Icup vs Heihachi | 5–3 | 62.50% |
| Icup vs Feng | 2–5 | 28.57% |
| Icup vs Kuma | 3–4 | 42.86% |
| Icup vs Jack-8 | 2–3 | 40.00% |
| Icup vs Claudio | 2–3 | 40.00% |
| Icup vs Anna | 3–2 | 60.00% |
| Icup vs Fahkumram | 3–2 | 60.00% |
| Icup vs Panda | 1–3 | 25.00% |
| Icup vs Shaheen | 0–2 | 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.