| Dsm100 vs Jin | 201–155 | 56.46% |
| Dsm100 vs Kazuya | 190–147 | 56.38% |
| Dsm100 vs King | 169–163 | 50.90% |
| Dsm100 vs Reina | 113–100 | 53.05% |
| Dsm100 vs Steve | 103–79 | 56.59% |
| Dsm100 vs Bryan | 80–93 | 46.24% |
| Dsm100 vs Law | 97–74 | 56.73% |
| Dsm100 vs Lili | 89–82 | 52.05% |
| Dsm100 vs Eddy | 72–93 | 43.64% |
| Dsm100 vs Dragunov | 76–82 | 48.10% |
| Dsm100 vs Hwoarang | 77–73 | 51.33% |
| Dsm100 vs Paul | 71–70 | 50.35% |
| Dsm100 vs Asuka | 79–50 | 61.24% |
| Dsm100 vs Heihachi | 49–79 | 38.28% |
| Dsm100 vs Lars | 65–57 | 53.28% |
| Dsm100 vs Xiaoyu | 56–63 | 47.06% |
| Dsm100 vs Jun | 62–56 | 52.54% |
| Dsm100 vs Nina | 62–55 | 52.99% |
| Dsm100 vs Devil Jin | 60–55 | 52.17% |
| Dsm100 vs Alisa | 60–52 | 53.57% |
| Dsm100 vs Azucena | 62–49–1 | 55.86% |
| Dsm100 vs Leroy | 47–54 | 46.53% |
| Dsm100 vs Yoshimitsu | 42–56 | 42.86% |
| Dsm100 vs Feng | 39–55 | 41.49% |
| Dsm100 vs Lee | 37–57 | 39.36% |
| Dsm100 vs Armor King | 32–44 | 42.11% |
| Dsm100 vs Jack-8 | 32–35 | 47.76% |
| Dsm100 vs Lidia | 28–38 | 42.42% |
| Dsm100 vs Leo | 30–35 | 46.15% |
| Dsm100 vs Clive | 21–37 | 36.21% |
| Dsm100 vs Victor | 18–39 | 31.58% |
| Dsm100 vs Zafina | 22–23 | 48.89% |
| Dsm100 vs Anna | 20–25 | 44.44% |
| Dsm100 vs Shaheen | 17–19 | 47.22% |
| Dsm100 vs Raven | 9–23 | 28.12% |
| Dsm100 vs Claudio | 15–16 | 48.39% |
| Dsm100 vs Kuma | 9–17 | 34.62% |
| Dsm100 vs Fahkumram | 8–17 | 32.00% |
| Dsm100 vs Panda | 7–16 | 30.43% |
| Dsm100 vs Miary Zo | 5–15 | 25.00% |
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.