| Malc0lnn vs King | 27–18 | 60.00% |
| Malc0lnn vs Reina | 22–20 | 52.38% |
| Malc0lnn vs Kazuya | 17–18 | 48.57% |
| Malc0lnn vs Jin | 18–12 | 60.00% |
| Malc0lnn vs Steve | 14–14 | 50.00% |
| Malc0lnn vs Dragunov | 16–12 | 57.14% |
| Malc0lnn vs Lars | 16–12 | 57.14% |
| Malc0lnn vs Lili | 11–14 | 44.00% |
| Malc0lnn vs Bryan | 13–11 | 54.17% |
| Malc0lnn vs Law | 18–4 | 81.82% |
| Malc0lnn vs Asuka | 14–8 | 63.64% |
| Malc0lnn vs Jun | 8–12 | 40.00% |
| Malc0lnn vs Hwoarang | 10–9 | 52.63% |
| Malc0lnn vs Eddy | 9–10 | 47.37% |
| Malc0lnn vs Leo | 7–11 | 38.89% |
| Malc0lnn vs Raven | 9–8 | 52.94% |
| Malc0lnn vs Azucena | 13–2 | 86.67% |
| Malc0lnn vs Lidia | 9–6 | 60.00% |
| Malc0lnn vs Nina | 7–7 | 50.00% |
| Malc0lnn vs Clive | 9–4 | 69.23% |
| Malc0lnn vs Alisa | 6–6 | 50.00% |
| Malc0lnn vs Lee | 5–7 | 41.67% |
| Malc0lnn vs Paul | 5–6 | 45.45% |
| Malc0lnn vs Xiaoyu | 4–7 | 36.36% |
| Malc0lnn vs Shaheen | 2–7 | 22.22% |
| Malc0lnn vs Kuma | 5–4 | 55.56% |
| Malc0lnn vs Leroy | 4–5 | 44.44% |
| Malc0lnn vs Zafina | 3–5 | 37.50% |
| Malc0lnn vs Victor | 3–5 | 37.50% |
| Malc0lnn vs Heihachi | 5–3 | 62.50% |
| Malc0lnn vs Yoshimitsu | 4–3 | 57.14% |
| Malc0lnn vs Devil Jin | 1–6 | 14.29% |
| Malc0lnn vs Armor King | 5–2 | 71.43% |
| Malc0lnn vs Jack-8 | 6–0 | 100.00% |
| Malc0lnn vs Feng | 1–2 | 33.33% |
| Malc0lnn vs Fahkumram | 2–0 | 100.00% |
| Malc0lnn vs Miary Zo | 0–2 | 0.00% |
| Malc0lnn vs Claudio | 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.