| eddydydydydy vs Jin | 31–25 | 55.36% |
| eddydydydydy vs Kazuya | 28–13 | 68.29% |
| eddydydydydy vs Eddy | 23–15 | 60.53% |
| eddydydydydy vs Xiaoyu | 18–14 | 56.25% |
| eddydydydydy vs Dragunov | 20–12 | 62.50% |
| eddydydydydy vs Hwoarang | 23–8 | 74.19% |
| eddydydydydy vs Law | 14–16 | 46.67% |
| eddydydydydy vs King | 18–12 | 60.00% |
| eddydydydydy vs Devil Jin | 24–5 | 82.76% |
| eddydydydydy vs Bryan | 23–5 | 82.14% |
| eddydydydydy vs Lili | 19–9 | 67.86% |
| eddydydydydy vs Yoshimitsu | 12–12 | 50.00% |
| eddydydydydy vs Feng | 16–8 | 66.67% |
| eddydydydydy vs Lee | 13–9 | 59.09% |
| eddydydydydy vs Zafina | 11–5 | 68.75% |
| eddydydydydy vs Jun | 12–4 | 75.00% |
| eddydydydydy vs Miary Zo | 10–6 | 62.50% |
| eddydydydydy vs Paul | 10–5 | 66.67% |
| eddydydydydy vs Steve | 7–8 | 46.67% |
| eddydydydydy vs Jack-8 | 7–8 | 46.67% |
| eddydydydydy vs Claudio | 7–8 | 46.67% |
| eddydydydydy vs Asuka | 4–9 | 30.77% |
| eddydydydydy vs Alisa | 12–0 | 100.00% |
| eddydydydydy vs Victor | 8–4 | 66.67% |
| eddydydydydy vs Nina | 8–3 | 72.73% |
| eddydydydydy vs Leo | 6–3 | 66.67% |
| eddydydydydy vs Kuma | 8–1 | 88.89% |
| eddydydydydy vs Reina | 8–1 | 88.89% |
| eddydydydydy vs Azucena | 6–3 | 66.67% |
| eddydydydydy vs Shaheen | 3–5 | 37.50% |
| eddydydydydy vs Leroy | 7–1 | 87.50% |
| eddydydydydy vs Armor King | 6–2 | 75.00% |
| eddydydydydy vs Heihachi | 6–1 | 85.71% |
| eddydydydydy vs Raven | 5–1 | 83.33% |
| eddydydydydy vs Lars | 4–1 | 80.00% |
| eddydydydydy vs Panda | 0–3 | 0.00% |
| eddydydydydy vs Clive | 1–0 | 100.00% |
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.