| TRiPPY vs Kazuya | 25–24 | 51.02% |
| TRiPPY vs Eddy | 16–26 | 38.10% |
| TRiPPY vs King | 24–13 | 64.86% |
| TRiPPY vs Steve | 16–16 | 50.00% |
| TRiPPY vs Reina | 20–11 | 64.52% |
| TRiPPY vs Bryan | 14–16 | 46.67% |
| TRiPPY vs Hwoarang | 20–8 | 71.43% |
| TRiPPY vs Jin | 14–14 | 50.00% |
| TRiPPY vs Heihachi | 16–10 | 61.54% |
| TRiPPY vs Yoshimitsu | 9–14 | 39.13% |
| TRiPPY vs Law | 12–10 | 54.55% |
| TRiPPY vs Jun | 10–12 | 45.45% |
| TRiPPY vs Lili | 7–11 | 38.89% |
| TRiPPY vs Dragunov | 10–6 | 62.50% |
| TRiPPY vs Leo | 7–8 | 46.67% |
| TRiPPY vs Devil Jin | 6–8 | 42.86% |
| TRiPPY vs Alisa | 3–10 | 23.08% |
| TRiPPY vs Raven | 7–6 | 53.85% |
| TRiPPY vs Xiaoyu | 7–5 | 58.33% |
| TRiPPY vs Lars | 6–6 | 50.00% |
| TRiPPY vs Asuka | 5–6 | 45.45% |
| TRiPPY vs Paul | 2–7 | 22.22% |
| TRiPPY vs Lee | 6–2 | 75.00% |
| TRiPPY vs Kuma | 1–7 | 12.50% |
| TRiPPY vs Lidia | 2–6 | 25.00% |
| TRiPPY vs Shaheen | 1–6 | 14.29% |
| TRiPPY vs Nina | 3–4 | 42.86% |
| TRiPPY vs Leroy | 5–2 | 71.43% |
| TRiPPY vs Jack-8 | 2–2 | 50.00% |
| TRiPPY vs Feng | 0–4 | 0.00% |
| TRiPPY vs Claudio | 2–2 | 50.00% |
| TRiPPY vs Panda | 2–2 | 50.00% |
| TRiPPY vs Azucena | 2–2 | 50.00% |
| TRiPPY vs Clive | 1–3 | 25.00% |
| TRiPPY vs Victor | 3–0 | 100.00% |
| TRiPPY vs Anna | 2–0 | 100.00% |
| TRiPPY vs Fahkumram | 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.