| TBpengin vs Clive | 50–67 | 42.74% |
| TBpengin vs Reina | 28–28 | 50.00% |
| TBpengin vs Paul | 22–33 | 40.00% |
| TBpengin vs Dragunov | 25–21 | 54.35% |
| TBpengin vs Kazuya | 19–24 | 44.19% |
| TBpengin vs Jin | 17–15 | 53.12% |
| TBpengin vs Alisa | 15–17 | 46.88% |
| TBpengin vs King | 16–15 | 51.61% |
| TBpengin vs Jun | 19–9 | 67.86% |
| TBpengin vs Hwoarang | 14–13 | 51.85% |
| TBpengin vs Asuka | 13–13 | 50.00% |
| TBpengin vs Heihachi | 16–10 | 61.54% |
| TBpengin vs Yoshimitsu | 11–10 | 52.38% |
| TBpengin vs Victor | 6–15 | 28.57% |
| TBpengin vs Bryan | 8–12 | 40.00% |
| TBpengin vs Lili | 5–15 | 25.00% |
| TBpengin vs Xiaoyu | 8–11 | 42.11% |
| TBpengin vs Steve | 9–10 | 47.37% |
| TBpengin vs Claudio | 8–7 | 53.33% |
| TBpengin vs Azucena | 7–7 | 50.00% |
| TBpengin vs Feng | 3–5 | 37.50% |
| TBpengin vs Leo | 4–4 | 50.00% |
| TBpengin vs Nina | 1–7 | 12.50% |
| TBpengin vs Lidia | 4–4 | 50.00% |
| TBpengin vs Law | 1–6 | 14.29% |
| TBpengin vs Jack-8 | 0–7 | 0.00% |
| TBpengin vs Lars | 4–3 | 57.14% |
| TBpengin vs Leroy | 3–4 | 42.86% |
| TBpengin vs Devil Jin | 5–1 | 83.33% |
| TBpengin vs Kuma | 4–2 | 66.67% |
| TBpengin vs Lee | 1–4 | 20.00% |
| TBpengin vs Eddy | 3–2 | 60.00% |
| TBpengin vs Shaheen | 3–0 | 100.00% |
| TBpengin vs Panda | 0–2 | 0.00% |
| TBpengin vs Zafina | 0–2 | 0.00% |
| TBpengin vs Raven | 2–0 | 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.