| M-COCOON vs Heihachi | 87–71 | 55.06% |
| M-COCOON vs Kazuya | 71–58 | 55.04% |
| M-COCOON vs Jin | 53–63 | 45.69% |
| M-COCOON vs King | 31–47 | 39.74% |
| M-COCOON vs Bryan | 39–28 | 58.21% |
| M-COCOON vs Law | 37–28 | 56.92% |
| M-COCOON vs Dragunov | 31–25 | 55.36% |
| M-COCOON vs Hwoarang | 19–24 | 44.19% |
| M-COCOON vs Steve | 17–26 | 39.53% |
| M-COCOON vs Armor King | 16–19 | 45.71% |
| M-COCOON vs Lili | 20–14 | 58.82% |
| M-COCOON vs Jun | 17–17 | 50.00% |
| M-COCOON vs Yoshimitsu | 12–20 | 37.50% |
| M-COCOON vs Paul | 23–7 | 76.67% |
| M-COCOON vs Lee | 10–19 | 34.48% |
| M-COCOON vs Azucena | 15–12 | 55.56% |
| M-COCOON vs Devil Jin | 10–14 | 41.67% |
| M-COCOON vs Victor | 14–10 | 58.33% |
| M-COCOON vs Reina | 13–9 | 59.09% |
| M-COCOON vs Asuka | 12–9 | 57.14% |
| M-COCOON vs Lidia | 11–7 | 61.11% |
| M-COCOON vs Nina | 7–10 | 41.18% |
| M-COCOON vs Raven | 8–9 | 47.06% |
| M-COCOON vs Jack-8 | 7–8 | 46.67% |
| M-COCOON vs Alisa | 6–9 | 40.00% |
| M-COCOON vs Anna | 6–9 | 40.00% |
| M-COCOON vs Eddy | 7–7 | 50.00% |
| M-COCOON vs Fahkumram | 5–7 | 41.67% |
| M-COCOON vs Feng | 7–4 | 63.64% |
| M-COCOON vs Claudio | 3–8 | 27.27% |
| M-COCOON vs Kuma | 8–3 | 72.73% |
| M-COCOON vs Xiaoyu | 3–5 | 37.50% |
| M-COCOON vs Shaheen | 3–5 | 37.50% |
| M-COCOON vs Leroy | 1–6 | 14.29% |
| M-COCOON vs Lars | 1–4 | 20.00% |
| M-COCOON vs Leo | 4–0 | 100.00% |
| M-COCOON vs Clive | 3–1 | 75.00% |
| M-COCOON vs Miary Zo | 1–3 | 25.00% |
| M-COCOON vs Zafina | 1–2 | 33.33% |
| M-COCOON vs Panda | 1–1 | 50.00% |
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.