| NY_MAB vs Kazuya | 187–84 | 69.00% |
| NY_MAB vs Bryan | 188–54 | 77.69% |
| NY_MAB vs Jin | 146–71 | 67.28% |
| NY_MAB vs King | 137–60 | 69.54% |
| NY_MAB vs Dragunov | 120–64 | 65.22% |
| NY_MAB vs Reina | 112–60 | 65.12% |
| NY_MAB vs Law | 113–48 | 70.19% |
| NY_MAB vs Steve | 88–61 | 59.06% |
| NY_MAB vs Heihachi | 100–47 | 68.03% |
| NY_MAB vs Hwoarang | 84–44 | 65.62% |
| NY_MAB vs Lee | 72–50 | 59.02% |
| NY_MAB vs Paul | 85–36 | 70.25% |
| NY_MAB vs Yoshimitsu | 80–33 | 70.80% |
| NY_MAB vs Feng | 75–35 | 68.18% |
| NY_MAB vs Lili | 67–37 | 64.42% |
| NY_MAB vs Azucena | 72–32 | 69.23% |
| NY_MAB vs Jun | 70–31 | 69.31% |
| NY_MAB vs Devil Jin | 55–42 | 56.70% |
| NY_MAB vs Lars | 57–39 | 59.38% |
| NY_MAB vs Asuka | 58–33 | 63.74% |
| NY_MAB vs Eddy | 53–32 | 62.35% |
| NY_MAB vs Raven | 60–24 | 71.43% |
| NY_MAB vs Leo | 59–23 | 71.95% |
| NY_MAB vs Victor | 57–24 | 70.37% |
| NY_MAB vs Lidia | 45–35–1 | 56.25% |
| NY_MAB vs Nina | 49–28 | 63.64% |
| NY_MAB vs Armor King | 45–19 | 70.31% |
| NY_MAB vs Clive | 44–19 | 69.84% |
| NY_MAB vs Claudio | 39–19 | 67.24% |
| NY_MAB vs Shaheen | 35–21 | 62.50% |
| NY_MAB vs Xiaoyu | 35–20 | 63.64% |
| NY_MAB vs Jack-8 | 36–19 | 65.45% |
| NY_MAB vs Leroy | 35–9 | 79.55% |
| NY_MAB vs Alisa | 28–13 | 68.29% |
| NY_MAB vs Fahkumram | 30–11 | 73.17% |
| NY_MAB vs Zafina | 13–26 | 33.33% |
| NY_MAB vs Anna | 24–15 | 61.54% |
| NY_MAB vs Kuma | 18–9 | 66.67% |
| NY_MAB vs Miary Zo | 9–9 | 50.00% |
| NY_MAB vs Panda | 10–3 | 76.92% |
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.