| ICOMBO4FUN vs King | 27–28 | 49.09% |
| ICOMBO4FUN vs Kazuya | 17–26 | 39.53% |
| ICOMBO4FUN vs Jin | 15–18 | 45.45% |
| ICOMBO4FUN vs Law | 15–17 | 46.88% |
| ICOMBO4FUN vs Jun | 18–14 | 56.25% |
| ICOMBO4FUN vs Hwoarang | 13–18 | 41.94% |
| ICOMBO4FUN vs Bryan | 18–10 | 64.29% |
| ICOMBO4FUN vs Reina | 10–16 | 38.46% |
| ICOMBO4FUN vs Lili | 15–10 | 60.00% |
| ICOMBO4FUN vs Yoshimitsu | 11–12 | 47.83% |
| ICOMBO4FUN vs Nina | 4–19 | 17.39% |
| ICOMBO4FUN vs Azucena | 12–11 | 52.17% |
| ICOMBO4FUN vs Asuka | 10–12 | 45.45% |
| ICOMBO4FUN vs Eddy | 9–11 | 45.00% |
| ICOMBO4FUN vs Leo | 8–9 | 47.06% |
| ICOMBO4FUN vs Lars | 4–13 | 23.53% |
| ICOMBO4FUN vs Lee | 11–5 | 68.75% |
| ICOMBO4FUN vs Leroy | 11–5 | 68.75% |
| ICOMBO4FUN vs Heihachi | 10–6 | 62.50% |
| ICOMBO4FUN vs Lidia | 3–12 | 20.00% |
| ICOMBO4FUN vs Xiaoyu | 5–9 | 35.71% |
| ICOMBO4FUN vs Steve | 9–5 | 64.29% |
| ICOMBO4FUN vs Alisa | 7–7 | 50.00% |
| ICOMBO4FUN vs Victor | 4–9 | 30.77% |
| ICOMBO4FUN vs Paul | 6–6 | 50.00% |
| ICOMBO4FUN vs Dragunov | 3–9 | 25.00% |
| ICOMBO4FUN vs Jack-8 | 2–8 | 20.00% |
| ICOMBO4FUN vs Raven | 6–4 | 60.00% |
| ICOMBO4FUN vs Feng | 4–4 | 50.00% |
| ICOMBO4FUN vs Clive | 3–5 | 37.50% |
| ICOMBO4FUN vs Kuma | 2–4 | 33.33% |
| ICOMBO4FUN vs Devil Jin | 0–4 | 0.00% |
| ICOMBO4FUN vs Shaheen | 2–2 | 50.00% |
| ICOMBO4FUN vs Claudio | 1–1 | 50.00% |
| ICOMBO4FUN vs Zafina | 2–0 | 100.00% |
| ICOMBO4FUN vs Anna | 0–2 | 0.00% |
| ICOMBO4FUN vs Fahkumram | 0–2 | 0.00% |
| ICOMBO4FUN vs Miary Zo | 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.