| Msc19981 vs Jin | 61–53 | 53.51% |
| Msc19981 vs Kazuya | 41–40 | 50.62% |
| Msc19981 vs Reina | 38–37 | 50.67% |
| Msc19981 vs King | 26–43 | 37.68% |
| Msc19981 vs Steve | 33–29 | 53.23% |
| Msc19981 vs Bryan | 20–31 | 39.22% |
| Msc19981 vs Heihachi | 23–26 | 46.94% |
| Msc19981 vs Hwoarang | 18–21 | 46.15% |
| Msc19981 vs Devil Jin | 17–20 | 45.95% |
| Msc19981 vs Lili | 17–20 | 45.95% |
| Msc19981 vs Dragunov | 11–22 | 33.33% |
| Msc19981 vs Lee | 16–15 | 51.61% |
| Msc19981 vs Law | 13–17 | 43.33% |
| Msc19981 vs Jun | 17–12 | 58.62% |
| Msc19981 vs Fahkumram | 15–13 | 53.57% |
| Msc19981 vs Azucena | 14–13 | 51.85% |
| Msc19981 vs Clive | 14–13 | 51.85% |
| Msc19981 vs Victor | 9–17 | 34.62% |
| Msc19981 vs Paul | 13–12 | 52.00% |
| Msc19981 vs Eddy | 10–15 | 40.00% |
| Msc19981 vs Yoshimitsu | 12–11 | 52.17% |
| Msc19981 vs Xiaoyu | 12–11 | 52.17% |
| Msc19981 vs Nina | 13–9 | 59.09% |
| Msc19981 vs Armor King | 12–10 | 54.55% |
| Msc19981 vs Asuka | 10–11 | 47.62% |
| Msc19981 vs Lars | 7–14 | 33.33% |
| Msc19981 vs Lidia | 9–12 | 42.86% |
| Msc19981 vs Feng | 4–9 | 30.77% |
| Msc19981 vs Anna | 6–5 | 54.55% |
| Msc19981 vs Jack-8 | 3–6 | 33.33% |
| Msc19981 vs Alisa | 1–8 | 11.11% |
| Msc19981 vs Shaheen | 1–8 | 11.11% |
| Msc19981 vs Kuma | 1–8 | 11.11% |
| Msc19981 vs Panda | 5–4 | 55.56% |
| Msc19981 vs Raven | 4–5 | 44.44% |
| Msc19981 vs Claudio | 3–5 | 37.50% |
| Msc19981 vs Miary Zo | 4–4 | 50.00% |
| Msc19981 vs Zafina | 3–3 | 50.00% |
| Msc19981 vs Leroy | 0–5 | 0.00% |
| Msc19981 vs Leo | 1–2 | 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.