| Timbuhh vs Heihachi | 153–128 | 54.45% |
| Timbuhh vs Reina | 91–73 | 55.49% |
| Timbuhh vs Kazuya | 79–73 | 51.97% |
| Timbuhh vs Bryan | 52–80 | 39.39% |
| Timbuhh vs Jin | 57–58 | 49.57% |
| Timbuhh vs Law | 59–52 | 53.15% |
| Timbuhh vs Steve | 54–56 | 49.09% |
| Timbuhh vs Hwoarang | 56–43 | 56.57% |
| Timbuhh vs King | 50–42 | 54.35% |
| Timbuhh vs Lars | 40–48 | 45.45% |
| Timbuhh vs Yoshimitsu | 46–40 | 53.49% |
| Timbuhh vs Azucena | 45–41 | 52.33% |
| Timbuhh vs Lidia | 45–40 | 52.94% |
| Timbuhh vs Dragunov | 35–48 | 42.17% |
| Timbuhh vs Lee | 35–46 | 43.21% |
| Timbuhh vs Jun | 27–38 | 41.54% |
| Timbuhh vs Nina | 36–26 | 58.06% |
| Timbuhh vs Asuka | 28–24 | 53.85% |
| Timbuhh vs Paul | 31–20 | 60.78% |
| Timbuhh vs Xiaoyu | 19–31 | 38.00% |
| Timbuhh vs Devil Jin | 17–33 | 34.00% |
| Timbuhh vs Lili | 19–30 | 38.78% |
| Timbuhh vs Victor | 25–22 | 53.19% |
| Timbuhh vs Eddy | 24–23 | 51.06% |
| Timbuhh vs Leo | 21–24 | 46.67% |
| Timbuhh vs Raven | 19–22 | 46.34% |
| Timbuhh vs Zafina | 8–21 | 27.59% |
| Timbuhh vs Leroy | 15–14 | 51.72% |
| Timbuhh vs Feng | 15–13 | 53.57% |
| Timbuhh vs Alisa | 7–21 | 25.00% |
| Timbuhh vs Claudio | 12–14 | 46.15% |
| Timbuhh vs Kuma | 11–14 | 44.00% |
| Timbuhh vs Jack-8 | 8–14 | 36.36% |
| Timbuhh vs Shaheen | 5–8 | 38.46% |
| Timbuhh vs Panda | 1–4 | 20.00% |
| Timbuhh vs Clive | 2–1 | 66.67% |
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.