| MLT972 vs Hwoarang | 104–46 | 69.33% |
| MLT972 vs King | 87–55 | 61.27% |
| MLT972 vs Jin | 84–55 | 60.43% |
| MLT972 vs Bryan | 66–70 | 48.53% |
| MLT972 vs Law | 57–62 | 47.90% |
| MLT972 vs Azucena | 56–54 | 50.91% |
| MLT972 vs Heihachi | 62–42 | 59.62% |
| MLT972 vs Kazuya | 51–43 | 54.26% |
| MLT972 vs Lars | 53–39 | 57.61% |
| MLT972 vs Nina | 44–48 | 47.83% |
| MLT972 vs Leroy | 37–52 | 41.57% |
| MLT972 vs Reina | 49–38 | 56.32% |
| MLT972 vs Asuka | 53–28 | 65.43% |
| MLT972 vs Devil Jin | 40–40 | 50.00% |
| MLT972 vs Dragunov | 50–30 | 62.50% |
| MLT972 vs Lidia | 42–36 | 53.85% |
| MLT972 vs Steve | 39–33 | 54.17% |
| MLT972 vs Anna | 35–37 | 48.61% |
| MLT972 vs Feng | 41–30 | 57.75% |
| MLT972 vs Lili | 40–26 | 60.61% |
| MLT972 vs Lee | 34–32 | 51.52% |
| MLT972 vs Victor | 30–35 | 46.15% |
| MLT972 vs Yoshimitsu | 35–28 | 55.56% |
| MLT972 vs Fahkumram | 38–23 | 62.30% |
| MLT972 vs Jun | 25–29 | 46.30% |
| MLT972 vs Paul | 19–34 | 35.85% |
| MLT972 vs Armor King | 25–27 | 48.08% |
| MLT972 vs Leo | 29–19 | 60.42% |
| MLT972 vs Alisa | 21–26 | 44.68% |
| MLT972 vs Raven | 23–24 | 48.94% |
| MLT972 vs Clive | 14–33 | 29.79% |
| MLT972 vs Jack-8 | 25–17 | 59.52% |
| MLT972 vs Eddy | 19–22 | 46.34% |
| MLT972 vs Xiaoyu | 19–20 | 48.72% |
| MLT972 vs Claudio | 15–10 | 60.00% |
| MLT972 vs Shaheen | 13–9 | 59.09% |
| MLT972 vs Zafina | 9–10 | 47.37% |
| MLT972 vs Kuma | 5–13 | 27.78% |
| MLT972 vs Panda | 2–14 | 12.50% |
| MLT972 vs Miary Zo | 4–8 | 33.33% |
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.