| dmcdloy vs Kazuya | 194–123 | 61.20% |
| dmcdloy vs Bryan | 166–112 | 59.71% |
| dmcdloy vs Jin | 126–87 | 59.15% |
| dmcdloy vs Reina | 119–89 | 57.21% |
| dmcdloy vs King | 121–68 | 64.02% |
| dmcdloy vs Dragunov | 90–67 | 57.32% |
| dmcdloy vs Steve | 102–54 | 65.38% |
| dmcdloy vs Paul | 93–62 | 60.00% |
| dmcdloy vs Law | 94–61 | 60.65% |
| dmcdloy vs Heihachi | 93–58 | 61.59% |
| dmcdloy vs Yoshimitsu | 78–51 | 60.47% |
| dmcdloy vs Jun | 83–44 | 65.35% |
| dmcdloy vs Lili | 83–39 | 68.03% |
| dmcdloy vs Victor | 79–43 | 64.75% |
| dmcdloy vs Lee | 80–39 | 67.23% |
| dmcdloy vs Asuka | 68–43 | 61.26% |
| dmcdloy vs Hwoarang | 69–41 | 62.73% |
| dmcdloy vs Azucena | 53–51 | 50.96% |
| dmcdloy vs Fahkumram | 52–46 | 53.06% |
| dmcdloy vs Lars | 46–40 | 53.49% |
| dmcdloy vs Nina | 46–39 | 54.12% |
| dmcdloy vs Lidia | 46–38 | 54.76% |
| dmcdloy vs Armor King | 47–34 | 58.02% |
| dmcdloy vs Devil Jin | 37–36 | 50.68% |
| dmcdloy vs Raven | 38–34 | 52.78% |
| dmcdloy vs Eddy | 41–27 | 60.29% |
| dmcdloy vs Leo | 34–32 | 51.52% |
| dmcdloy vs Clive | 40–26 | 60.61% |
| dmcdloy vs Xiaoyu | 38–25 | 60.32% |
| dmcdloy vs Jack-8 | 28–34 | 45.16% |
| dmcdloy vs Feng | 37–25 | 59.68% |
| dmcdloy vs Leroy | 35–25 | 58.33% |
| dmcdloy vs Claudio | 34–23 | 59.65% |
| dmcdloy vs Alisa | 31–23 | 57.41% |
| dmcdloy vs Shaheen | 28–26 | 51.85% |
| dmcdloy vs Zafina | 25–26 | 49.02% |
| dmcdloy vs Kuma | 27–14 | 65.85% |
| dmcdloy vs Anna | 17–22 | 43.59% |
| dmcdloy vs Miary Zo | 8–14 | 36.36% |
| dmcdloy vs Panda | 13–7 | 65.00% |
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.