| darbyshim vs Kazuya | 143–191 | 42.81% |
| darbyshim vs Jin | 128–130 | 49.61% |
| darbyshim vs King | 114–143 | 44.36% |
| darbyshim vs Paul | 115–129 | 47.13% |
| darbyshim vs Bryan | 99–141 | 41.25% |
| darbyshim vs Dragunov | 94–131 | 41.78% |
| darbyshim vs Reina | 104–96–1 | 52.00% |
| darbyshim vs Lili | 79–90 | 46.75% |
| darbyshim vs Asuka | 79–81 | 49.38% |
| darbyshim vs Law | 64–87 | 42.38% |
| darbyshim vs Steve | 55–89 | 38.19% |
| darbyshim vs Victor | 58–84 | 40.85% |
| darbyshim vs Hwoarang | 47–87 | 35.07% |
| darbyshim vs Heihachi | 40–81 | 33.06% |
| darbyshim vs Yoshimitsu | 38–66 | 36.54% |
| darbyshim vs Clive | 36–58 | 38.30% |
| darbyshim vs Jack-8 | 32–57 | 35.96% |
| darbyshim vs Eddy | 39–48 | 44.83% |
| darbyshim vs Lars | 29–56 | 34.12% |
| darbyshim vs Fahkumram | 35–50 | 41.18% |
| darbyshim vs Jun | 39–44 | 46.99% |
| darbyshim vs Lee | 29–49 | 37.18% |
| darbyshim vs Xiaoyu | 35–39 | 47.30% |
| darbyshim vs Leroy | 30–44 | 40.54% |
| darbyshim vs Azucena | 34–39 | 46.58% |
| darbyshim vs Devil Jin | 24–44 | 35.29% |
| darbyshim vs Nina | 28–40 | 41.18% |
| darbyshim vs Claudio | 27–40 | 40.30% |
| darbyshim vs Armor King | 20–44 | 31.25% |
| darbyshim vs Alisa | 21–41 | 33.87% |
| darbyshim vs Leo | 17–35 | 32.69% |
| darbyshim vs Lidia | 24–28 | 46.15% |
| darbyshim vs Feng | 17–25 | 40.48% |
| darbyshim vs Miary Zo | 15–22 | 40.54% |
| darbyshim vs Zafina | 6–30 | 16.67% |
| darbyshim vs Anna | 11–18 | 37.93% |
| darbyshim vs Raven | 12–16 | 42.86% |
| darbyshim vs Shaheen | 11–15 | 42.31% |
| darbyshim vs Kuma | 6–18 | 25.00% |
| darbyshim vs Panda | 8–14 | 36.36% |
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.