| AUDeath vs Kazuya | 91–135–1 | 40.27% |
| AUDeath vs King | 111–97 | 53.37% |
| AUDeath vs Eddy | 89–115 | 43.63% |
| AUDeath vs Jin | 85–101 | 45.70% |
| AUDeath vs Bryan | 64–109 | 36.99% |
| AUDeath vs Reina | 78–82 | 48.75% |
| AUDeath vs Heihachi | 60–83 | 41.96% |
| AUDeath vs Law | 70–70 | 50.00% |
| AUDeath vs Steve | 55–84 | 39.57% |
| AUDeath vs Hwoarang | 49–82 | 37.40% |
| AUDeath vs Dragunov | 53–67 | 44.17% |
| AUDeath vs Azucena | 59–53 | 52.68% |
| AUDeath vs Lili | 57–47 | 54.81% |
| AUDeath vs Yoshimitsu | 47–48 | 49.47% |
| AUDeath vs Lars | 50–45 | 52.63% |
| AUDeath vs Lee | 37–57 | 39.36% |
| AUDeath vs Jun | 39–46 | 45.88% |
| AUDeath vs Asuka | 39–44 | 46.99% |
| AUDeath vs Raven | 39–41 | 48.75% |
| AUDeath vs Devil Jin | 32–46 | 41.03% |
| AUDeath vs Victor | 36–41 | 46.75% |
| AUDeath vs Feng | 29–45–1 | 39.19% |
| AUDeath vs Leo | 42–29 | 59.15% |
| AUDeath vs Paul | 17–50 | 25.37% |
| AUDeath vs Nina | 25–33 | 43.10% |
| AUDeath vs Jack-8 | 28–29 | 49.12% |
| AUDeath vs Leroy | 23–32 | 41.82% |
| AUDeath vs Xiaoyu | 28–26 | 51.85% |
| AUDeath vs Alisa | 23–21 | 52.27% |
| AUDeath vs Kuma | 22–21 | 51.16% |
| AUDeath vs Shaheen | 18–18 | 50.00% |
| AUDeath vs Claudio | 14–16 | 46.67% |
| AUDeath vs Lidia | 11–18 | 37.93% |
| AUDeath vs Clive | 11–16 | 40.74% |
| AUDeath vs Armor King | 12–11 | 52.17% |
| AUDeath vs Fahkumram | 9–9 | 50.00% |
| AUDeath vs Panda | 4–8 | 33.33% |
| AUDeath vs Miary Zo | 6–5 | 54.55% |
| AUDeath vs Zafina | 3–6 | 33.33% |
| AUDeath vs Anna | 2–2 | 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.