| MM..FOOD vs Steve | 81–104 | 43.78% |
| MM..FOOD vs King | 52–113 | 31.52% |
| MM..FOOD vs Reina | 34–100 | 25.37% |
| MM..FOOD vs Hwoarang | 42–87 | 32.56% |
| MM..FOOD vs Jin | 41–82 | 33.33% |
| MM..FOOD vs Kazuya | 40–81 | 33.06% |
| MM..FOOD vs Eddy | 21–82 | 20.39% |
| MM..FOOD vs Azucena | 29–62 | 31.87% |
| MM..FOOD vs Dragunov | 32–55 | 36.78% |
| MM..FOOD vs Law | 22–62–1 | 26.19% |
| MM..FOOD vs Jun | 18–61 | 22.78% |
| MM..FOOD vs Victor | 18–59 | 23.38% |
| MM..FOOD vs Clive | 17–58 | 22.67% |
| MM..FOOD vs Lili | 24–48 | 33.33% |
| MM..FOOD vs Lee | 29–38 | 43.28% |
| MM..FOOD vs Bryan | 16–44 | 26.67% |
| MM..FOOD vs Lars | 17–43 | 28.33% |
| MM..FOOD vs Heihachi | 21–39 | 35.00% |
| MM..FOOD vs Yoshimitsu | 19–37 | 33.93% |
| MM..FOOD vs Asuka | 18–33 | 35.29% |
| MM..FOOD vs Nina | 12–38 | 24.00% |
| MM..FOOD vs Feng | 16–31 | 34.04% |
| MM..FOOD vs Kuma | 15–29 | 34.09% |
| MM..FOOD vs Xiaoyu | 17–25 | 40.48% |
| MM..FOOD vs Devil Jin | 12–28 | 30.00% |
| MM..FOOD vs Lidia | 8–29 | 21.62% |
| MM..FOOD vs Paul | 10–24 | 29.41% |
| MM..FOOD vs Alisa | 4–29 | 12.12% |
| MM..FOOD vs Leo | 12–20 | 37.50% |
| MM..FOOD vs Jack-8 | 11–19 | 36.67% |
| MM..FOOD vs Anna | 7–23 | 23.33% |
| MM..FOOD vs Leroy | 7–21 | 25.00% |
| MM..FOOD vs Zafina | 9–18 | 33.33% |
| MM..FOOD vs Raven | 9–16 | 36.00% |
| MM..FOOD vs Fahkumram | 8–16 | 33.33% |
| MM..FOOD vs Claudio | 9–14 | 39.13% |
| MM..FOOD vs Armor King | 4–16 | 20.00% |
| MM..FOOD vs Shaheen | 3–13 | 18.75% |
| MM..FOOD vs Miary Zo | 0–4 | 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.