| Mlgmeloncat vs Jin | 64–49 | 56.64% |
| Mlgmeloncat vs King | 42–57 | 42.42% |
| Mlgmeloncat vs Steve | 42–46 | 47.73% |
| Mlgmeloncat vs Kazuya | 45–41 | 52.33% |
| Mlgmeloncat vs Hwoarang | 38–47 | 44.71% |
| Mlgmeloncat vs Reina | 41–38 | 51.90% |
| Mlgmeloncat vs Bryan | 32–44 | 42.11% |
| Mlgmeloncat vs Heihachi | 29–47 | 38.16% |
| Mlgmeloncat vs Law | 36–35 | 50.70% |
| Mlgmeloncat vs Jun | 30–38 | 44.12% |
| Mlgmeloncat vs Lili | 22–38 | 36.67% |
| Mlgmeloncat vs Dragunov | 28–29 | 49.12% |
| Mlgmeloncat vs Lars | 21–32 | 39.62% |
| Mlgmeloncat vs Azucena | 25–26 | 49.02% |
| Mlgmeloncat vs Victor | 26–21 | 55.32% |
| Mlgmeloncat vs Eddy | 17–30 | 36.17% |
| Mlgmeloncat vs Yoshimitsu | 22–24 | 47.83% |
| Mlgmeloncat vs Paul | 16–26 | 38.10% |
| Mlgmeloncat vs Lee | 20–18 | 52.63% |
| Mlgmeloncat vs Leroy | 14–20 | 41.18% |
| Mlgmeloncat vs Clive | 13–14 | 48.15% |
| Mlgmeloncat vs Feng | 9–17 | 34.62% |
| Mlgmeloncat vs Xiaoyu | 9–16 | 36.00% |
| Mlgmeloncat vs Devil Jin | 15–10 | 60.00% |
| Mlgmeloncat vs Claudio | 12–13 | 48.00% |
| Mlgmeloncat vs Nina | 13–12 | 52.00% |
| Mlgmeloncat vs Leo | 7–16 | 30.43% |
| Mlgmeloncat vs Alisa | 8–15 | 34.78% |
| Mlgmeloncat vs Raven | 9–14 | 39.13% |
| Mlgmeloncat vs Asuka | 13–9 | 59.09% |
| Mlgmeloncat vs Lidia | 4–17 | 19.05% |
| Mlgmeloncat vs Jack-8 | 10–9 | 52.63% |
| Mlgmeloncat vs Anna | 9–9 | 50.00% |
| Mlgmeloncat vs Kuma | 3–10 | 23.08% |
| Mlgmeloncat vs Fahkumram | 5–7 | 41.67% |
| Mlgmeloncat vs Miary Zo | 8–2 | 80.00% |
| Mlgmeloncat vs Panda | 2–6 | 25.00% |
| Mlgmeloncat vs Shaheen | 4–3 | 57.14% |
| Mlgmeloncat vs Zafina | 0–6 | 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.