| MM1SSG vs Clive | 151–76 | 66.52% |
| MM1SSG vs Kazuya | 125–101 | 55.31% |
| MM1SSG vs Jin | 109–94 | 53.69% |
| MM1SSG vs Law | 111–79 | 58.42% |
| MM1SSG vs King | 104–81 | 56.22% |
| MM1SSG vs Bryan | 92–48 | 65.71% |
| MM1SSG vs Reina | 71–67 | 51.45% |
| MM1SSG vs Heihachi | 73–59 | 55.30% |
| MM1SSG vs Steve | 74–56 | 56.92% |
| MM1SSG vs Jun | 70–42 | 62.50% |
| MM1SSG vs Yoshimitsu | 65–45 | 59.09% |
| MM1SSG vs Dragunov | 61–49 | 55.45% |
| MM1SSG vs Hwoarang | 60–46 | 56.60% |
| MM1SSG vs Asuka | 66–32 | 67.35% |
| MM1SSG vs Xiaoyu | 57–35 | 61.96% |
| MM1SSG vs Lee | 41–45 | 47.67% |
| MM1SSG vs Devil Jin | 41–37 | 52.56% |
| MM1SSG vs Lili | 47–31 | 60.26% |
| MM1SSG vs Lars | 43–34 | 55.84% |
| MM1SSG vs Azucena | 42–32 | 56.76% |
| MM1SSG vs Paul | 41–32 | 56.16% |
| MM1SSG vs Eddy | 46–27 | 63.01% |
| MM1SSG vs Jack-8 | 28–37 | 43.08% |
| MM1SSG vs Lidia | 34–30 | 53.12% |
| MM1SSG vs Leroy | 40–21 | 65.57% |
| MM1SSG vs Victor | 40–18 | 68.97% |
| MM1SSG vs Leo | 37–19 | 66.07% |
| MM1SSG vs Feng | 31–21 | 59.62% |
| MM1SSG vs Nina | 30–22 | 57.69% |
| MM1SSG vs Alisa | 33–17 | 66.00% |
| MM1SSG vs Raven | 31–19 | 62.00% |
| MM1SSG vs Armor King | 23–22 | 51.11% |
| MM1SSG vs Fahkumram | 19–22 | 46.34% |
| MM1SSG vs Kuma | 18–17 | 51.43% |
| MM1SSG vs Shaheen | 15–19 | 44.12% |
| MM1SSG vs Anna | 16–14 | 53.33% |
| MM1SSG vs Zafina | 15–11 | 57.69% |
| MM1SSG vs Miary Zo | 14–12 | 53.85% |
| MM1SSG vs Claudio | 5–17 | 22.73% |
| MM1SSG vs Panda | 3–7 | 30.00% |
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.