| Dmac9900 vs Jin | 64–52 | 55.17% |
| Dmac9900 vs Steve | 54–44 | 55.10% |
| Dmac9900 vs Kazuya | 52–44 | 54.17% |
| Dmac9900 vs King | 43–52 | 45.26% |
| Dmac9900 vs Bryan | 40–41 | 49.38% |
| Dmac9900 vs Hwoarang | 47–27 | 63.51% |
| Dmac9900 vs Law | 38–24 | 61.29% |
| Dmac9900 vs Yoshimitsu | 29–32 | 47.54% |
| Dmac9900 vs Azucena | 28–30 | 48.28% |
| Dmac9900 vs Reina | 29–27 | 51.79% |
| Dmac9900 vs Lee | 22–30 | 42.31% |
| Dmac9900 vs Eddy | 19–30 | 38.78% |
| Dmac9900 vs Lili | 32–16 | 66.67% |
| Dmac9900 vs Lars | 25–23 | 52.08% |
| Dmac9900 vs Alisa | 29–19 | 60.42% |
| Dmac9900 vs Paul | 30–14 | 68.18% |
| Dmac9900 vs Asuka | 25–19 | 56.82% |
| Dmac9900 vs Feng | 18–26 | 40.91% |
| Dmac9900 vs Dragunov | 19–22 | 46.34% |
| Dmac9900 vs Xiaoyu | 21–18 | 53.85% |
| Dmac9900 vs Jun | 18–21 | 46.15% |
| Dmac9900 vs Jack-8 | 21–16 | 56.76% |
| Dmac9900 vs Fahkumram | 18–16 | 52.94% |
| Dmac9900 vs Devil Jin | 16–17 | 48.48% |
| Dmac9900 vs Victor | 14–16 | 46.67% |
| Dmac9900 vs Heihachi | 16–13 | 55.17% |
| Dmac9900 vs Leo | 18–8 | 69.23% |
| Dmac9900 vs Nina | 9–17 | 34.62% |
| Dmac9900 vs Leroy | 9–14 | 39.13% |
| Dmac9900 vs Raven | 12–11 | 52.17% |
| Dmac9900 vs Claudio | 9–13 | 40.91% |
| Dmac9900 vs Lidia | 10–7 | 58.82% |
| Dmac9900 vs Clive | 10–5 | 66.67% |
| Dmac9900 vs Shaheen | 7–7 | 50.00% |
| Dmac9900 vs Anna | 8–4 | 66.67% |
| Dmac9900 vs Miary Zo | 6–5 | 54.55% |
| Dmac9900 vs Zafina | 2–8 | 20.00% |
| Dmac9900 vs Armor King | 5–5 | 50.00% |
| Dmac9900 vs Kuma | 4–5 | 44.44% |
| Dmac9900 vs Panda | 4–4 | 50.00% |
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.