| ImCooked vs Kazuya | 49–60 | 44.95% |
| ImCooked vs Jin | 46–49 | 48.42% |
| ImCooked vs King | 58–35 | 62.37% |
| ImCooked vs Steve | 54–37 | 59.34% |
| ImCooked vs Reina | 40–39 | 50.63% |
| ImCooked vs Heihachi | 31–37 | 45.59% |
| ImCooked vs Lili | 31–27 | 53.45% |
| ImCooked vs Armor King | 30–28 | 51.72% |
| ImCooked vs Dragunov | 27–26 | 50.94% |
| ImCooked vs Eddy | 23–28 | 45.10% |
| ImCooked vs Law | 26–24 | 52.00% |
| ImCooked vs Asuka | 27–23 | 54.00% |
| ImCooked vs Clive | 33–17 | 66.00% |
| ImCooked vs Jun | 23–24 | 48.94% |
| ImCooked vs Bryan | 17–28 | 37.78% |
| ImCooked vs Hwoarang | 21–23 | 47.73% |
| ImCooked vs Anna | 16–25 | 39.02% |
| ImCooked vs Xiaoyu | 19–20 | 48.72% |
| ImCooked vs Victor | 20–19 | 51.28% |
| ImCooked vs Devil Jin | 20–16 | 55.56% |
| ImCooked vs Fahkumram | 15–18 | 45.45% |
| ImCooked vs Lars | 17–15 | 53.12% |
| ImCooked vs Leroy | 16–15 | 51.61% |
| ImCooked vs Lidia | 15–16 | 48.39% |
| ImCooked vs Leo | 12–14 | 46.15% |
| ImCooked vs Yoshimitsu | 10–15 | 40.00% |
| ImCooked vs Alisa | 15–10 | 60.00% |
| ImCooked vs Nina | 8–17 | 32.00% |
| ImCooked vs Azucena | 11–12 | 47.83% |
| ImCooked vs Paul | 6–16 | 27.27% |
| ImCooked vs Feng | 9–12 | 42.86% |
| ImCooked vs Lee | 9–12 | 42.86% |
| ImCooked vs Raven | 4–14 | 22.22% |
| ImCooked vs Jack-8 | 10–6 | 62.50% |
| ImCooked vs Shaheen | 9–6 | 60.00% |
| ImCooked vs Miary Zo | 5–9 | 35.71% |
| ImCooked vs Zafina | 4–7 | 36.36% |
| ImCooked vs Claudio | 4–5 | 44.44% |
| ImCooked vs Panda | 4–5 | 44.44% |
| ImCooked vs Kuma | 1–7 | 12.50% |
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.