| EllroyPC vs Kazuya | 124–115 | 51.88% |
| EllroyPC vs Jin | 124–83 | 59.90% |
| EllroyPC vs Bryan | 114–68 | 62.64% |
| EllroyPC vs Clive | 83–62 | 57.24% |
| EllroyPC vs Reina | 64–68 | 48.48% |
| EllroyPC vs King | 78–53 | 59.54% |
| EllroyPC vs Lili | 81–44 | 64.80% |
| EllroyPC vs Dragunov | 57–63 | 47.50% |
| EllroyPC vs Paul | 57–62 | 47.90% |
| EllroyPC vs Hwoarang | 32–77 | 29.36% |
| EllroyPC vs Steve | 51–51 | 50.00% |
| EllroyPC vs Devil Jin | 61–41 | 59.80% |
| EllroyPC vs Heihachi | 47–41 | 53.41% |
| EllroyPC vs Yoshimitsu | 44–41 | 51.76% |
| EllroyPC vs Lee | 44–41 | 51.76% |
| EllroyPC vs Law | 40–40 | 50.00% |
| EllroyPC vs Xiaoyu | 30–45 | 40.00% |
| EllroyPC vs Lars | 38–31 | 55.07% |
| EllroyPC vs Leroy | 27–41 | 39.71% |
| EllroyPC vs Azucena | 44–22 | 66.67% |
| EllroyPC vs Victor | 32–31 | 50.79% |
| EllroyPC vs Asuka | 35–27 | 56.45% |
| EllroyPC vs Feng | 28–31 | 47.46% |
| EllroyPC vs Nina | 27–29 | 48.21% |
| EllroyPC vs Raven | 33–23 | 58.93% |
| EllroyPC vs Alisa | 30–25 | 54.55% |
| EllroyPC vs Jun | 30–25 | 54.55% |
| EllroyPC vs Zafina | 25–27 | 48.08% |
| EllroyPC vs Claudio | 20–31 | 39.22% |
| EllroyPC vs Anna | 20–28 | 41.67% |
| EllroyPC vs Jack-8 | 14–27 | 34.15% |
| EllroyPC vs Leo | 28–12 | 70.00% |
| EllroyPC vs Kuma | 22–14 | 61.11% |
| EllroyPC vs Fahkumram | 16–18 | 47.06% |
| EllroyPC vs Eddy | 15–17 | 46.88% |
| EllroyPC vs Lidia | 14–16 | 46.67% |
| EllroyPC vs Shaheen | 9–11 | 45.00% |
| EllroyPC vs Panda | 5–6 | 45.45% |
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.