| TTV/Arebrooda vs Eddy | 9–9 | 50.00% |
| TTV/Arebrooda vs Clive | 8–10 | 44.44% |
| TTV/Arebrooda vs Kazuya | 16–1 | 94.12% |
| TTV/Arebrooda vs Hwoarang | 13–3 | 81.25% |
| TTV/Arebrooda vs Lidia | 16–0 | 100.00% |
| TTV/Arebrooda vs Law | 7–5 | 58.33% |
| TTV/Arebrooda vs Jin | 8–4 | 66.67% |
| TTV/Arebrooda vs Feng | 3–4 | 42.86% |
| TTV/Arebrooda vs Azucena | 5–2 | 71.43% |
| TTV/Arebrooda vs Heihachi | 5–2 | 71.43% |
| TTV/Arebrooda vs Paul | 4–2 | 66.67% |
| TTV/Arebrooda vs Xiaoyu | 6–0 | 100.00% |
| TTV/Arebrooda vs Steve | 6–0 | 100.00% |
| TTV/Arebrooda vs Reina | 6–0 | 100.00% |
| TTV/Arebrooda vs King | 5–0 | 100.00% |
| TTV/Arebrooda vs Asuka | 3–2 | 60.00% |
| TTV/Arebrooda vs Nina | 3–2 | 60.00% |
| TTV/Arebrooda vs Lee | 4–1 | 80.00% |
| TTV/Arebrooda vs Raven | 5–0 | 100.00% |
| TTV/Arebrooda vs Yoshimitsu | 3–1 | 75.00% |
| TTV/Arebrooda vs Panda | 3–1 | 75.00% |
| TTV/Arebrooda vs Jun | 4–0 | 100.00% |
| TTV/Arebrooda vs Devil Jin | 3–0 | 100.00% |
| TTV/Arebrooda vs Leo | 2–1 | 66.67% |
| TTV/Arebrooda vs Lars | 3–0 | 100.00% |
| TTV/Arebrooda vs Bryan | 2–0 | 100.00% |
| TTV/Arebrooda vs Jack-8 | 2–0 | 100.00% |
| TTV/Arebrooda vs Claudio | 0–2 | 0.00% |
| TTV/Arebrooda vs Victor | 2–0 | 100.00% |
| TTV/Arebrooda vs Lili | 1–0 | 100.00% |
| TTV/Arebrooda vs Dragunov | 1–0 | 100.00% |
| TTV/Arebrooda vs Kuma | 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.