| TAS.Death vs Heihachi | 37–17 | 68.52% |
| TAS.Death vs Jin | 25–27 | 48.08% |
| TAS.Death vs Kazuya | 28–22 | 56.00% |
| TAS.Death vs Reina | 27–17 | 61.36% |
| TAS.Death vs King | 21–19 | 52.50% |
| TAS.Death vs Steve | 24–15 | 61.54% |
| TAS.Death vs Jun | 13–24 | 35.14% |
| TAS.Death vs Bryan | 22–10 | 68.75% |
| TAS.Death vs Asuka | 14–15 | 48.28% |
| TAS.Death vs Dragunov | 13–12 | 52.00% |
| TAS.Death vs Hwoarang | 15–9 | 62.50% |
| TAS.Death vs Leo | 11–13 | 45.83% |
| TAS.Death vs Devil Jin | 9–13 | 40.91% |
| TAS.Death vs Paul | 12–9 | 57.14% |
| TAS.Death vs Lili | 2–19 | 9.52% |
| TAS.Death vs Law | 8–11 | 42.11% |
| TAS.Death vs Lee | 8–10 | 44.44% |
| TAS.Death vs Lidia | 10–8 | 55.56% |
| TAS.Death vs Xiaoyu | 6–11 | 35.29% |
| TAS.Death vs Feng | 10–7 | 58.82% |
| TAS.Death vs Victor | 11–5 | 68.75% |
| TAS.Death vs Yoshimitsu | 7–8 | 46.67% |
| TAS.Death vs Azucena | 7–7 | 50.00% |
| TAS.Death vs Eddy | 9–5 | 64.29% |
| TAS.Death vs Nina | 7–6 | 53.85% |
| TAS.Death vs Lars | 7–5 | 58.33% |
| TAS.Death vs Claudio | 3–8 | 27.27% |
| TAS.Death vs Leroy | 5–6 | 45.45% |
| TAS.Death vs Clive | 3–6 | 33.33% |
| TAS.Death vs Kuma | 6–2 | 75.00% |
| TAS.Death vs Jack-8 | 2–3 | 40.00% |
| TAS.Death vs Shaheen | 0–4 | 0.00% |
| TAS.Death vs Zafina | 2–2 | 50.00% |
| TAS.Death vs Raven | 2–1 | 66.67% |
| TAS.Death vs Alisa | 0–1 | 0.00% |
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.