| iChubby vs Armor King | 23–34 | 40.35% |
| iChubby vs Heihachi | 32–16 | 66.67% |
| iChubby vs Bryan | 23–20 | 53.49% |
| iChubby vs Kazuya | 22–21 | 51.16% |
| iChubby vs Jin | 13–21 | 38.24% |
| iChubby vs Hwoarang | 19–9 | 67.86% |
| iChubby vs King | 5–21 | 19.23% |
| iChubby vs Devil Jin | 15–11 | 57.69% |
| iChubby vs Azucena | 8–14 | 36.36% |
| iChubby vs Steve | 5–14 | 26.32% |
| iChubby vs Lili | 9–10 | 47.37% |
| iChubby vs Dragunov | 9–10 | 47.37% |
| iChubby vs Lee | 8–10 | 44.44% |
| iChubby vs Xiaoyu | 10–7 | 58.82% |
| iChubby vs Reina | 9–7 | 56.25% |
| iChubby vs Victor | 8–8 | 50.00% |
| iChubby vs Lidia | 8–8 | 50.00% |
| iChubby vs Yoshimitsu | 5–9 | 35.71% |
| iChubby vs Feng | 10–4 | 71.43% |
| iChubby vs Alisa | 8–5 | 61.54% |
| iChubby vs Nina | 7–6 | 53.85% |
| iChubby vs Leo | 4–8 | 33.33% |
| iChubby vs Jack-8 | 3–7 | 30.00% |
| iChubby vs Claudio | 6–4 | 60.00% |
| iChubby vs Jun | 2–8 | 20.00% |
| iChubby vs Paul | 4–5 | 44.44% |
| iChubby vs Asuka | 5–2 | 71.43% |
| iChubby vs Leroy | 4–3 | 57.14% |
| iChubby vs Raven | 1–6 | 14.29% |
| iChubby vs Lars | 2–3 | 40.00% |
| iChubby vs Law | 1–2 | 33.33% |
| iChubby vs Anna | 2–1 | 66.67% |
| iChubby vs Shaheen | 2–0 | 100.00% |
| iChubby vs Eddy | 0–2 | 0.00% |
| iChubby vs Clive | 1–1 | 50.00% |
| iChubby vs Kuma | 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.