| IcyBiscuit vs Armor King | 22–31 | 41.51% |
| IcyBiscuit vs Kazuya | 27–16 | 62.79% |
| IcyBiscuit vs Reina | 17–10 | 62.96% |
| IcyBiscuit vs Jin | 15–7 | 68.18% |
| IcyBiscuit vs Bryan | 12–9 | 57.14% |
| IcyBiscuit vs Paul | 11–8 | 57.89% |
| IcyBiscuit vs King | 12–7 | 63.16% |
| IcyBiscuit vs Azucena | 13–6 | 68.42% |
| IcyBiscuit vs Law | 10–8 | 55.56% |
| IcyBiscuit vs Dragunov | 10–6 | 62.50% |
| IcyBiscuit vs Lee | 7–9 | 43.75% |
| IcyBiscuit vs Steve | 10–5 | 66.67% |
| IcyBiscuit vs Anna | 8–7 | 53.33% |
| IcyBiscuit vs Hwoarang | 9–5 | 64.29% |
| IcyBiscuit vs Xiaoyu | 8–6 | 57.14% |
| IcyBiscuit vs Lili | 12–2 | 85.71% |
| IcyBiscuit vs Fahkumram | 7–6 | 53.85% |
| IcyBiscuit vs Feng | 5–5 | 50.00% |
| IcyBiscuit vs Lars | 8–2 | 80.00% |
| IcyBiscuit vs Jack-8 | 8–1 | 88.89% |
| IcyBiscuit vs Yoshimitsu | 4–4 | 50.00% |
| IcyBiscuit vs Jun | 5–2 | 71.43% |
| IcyBiscuit vs Nina | 2–4 | 33.33% |
| IcyBiscuit vs Lidia | 2–4 | 33.33% |
| IcyBiscuit vs Heihachi | 2–4 | 33.33% |
| IcyBiscuit vs Alisa | 3–2 | 60.00% |
| IcyBiscuit vs Asuka | 4–0 | 100.00% |
| IcyBiscuit vs Leo | 4–0 | 100.00% |
| IcyBiscuit vs Victor | 4–0 | 100.00% |
| IcyBiscuit vs Raven | 2–2 | 50.00% |
| IcyBiscuit vs Devil Jin | 1–2 | 33.33% |
| IcyBiscuit vs Zafina | 2–1 | 66.67% |
| IcyBiscuit vs Leroy | 1–2 | 33.33% |
| IcyBiscuit vs Kuma | 0–2 | 0.00% |
| IcyBiscuit vs Panda | 0–2 | 0.00% |
| IcyBiscuit vs Eddy | 0–2 | 0.00% |
| IcyBiscuit vs Clive | 2–0 | 100.00% |
| IcyBiscuit vs Claudio | 0–1 | 0.00% |
| IcyBiscuit vs Shaheen | 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.