| Thrillpnch vs Hwoarang | 7–15 | 31.82% |
| Thrillpnch vs Armor King | 6–8 | 42.86% |
| Thrillpnch vs Leroy | 7–6 | 53.85% |
| Thrillpnch vs Steve | 4–7 | 36.36% |
| Thrillpnch vs Reina | 4–7 | 36.36% |
| Thrillpnch vs Law | 2–7 | 22.22% |
| Thrillpnch vs Asuka | 3–6 | 33.33% |
| Thrillpnch vs King | 3–4 | 42.86% |
| Thrillpnch vs Yoshimitsu | 2–5 | 28.57% |
| Thrillpnch vs Miary Zo | 1–6 | 14.29% |
| Thrillpnch vs Leo | 0–6 | 0.00% |
| Thrillpnch vs Claudio | 0–6 | 0.00% |
| Thrillpnch vs Jin | 0–5 | 0.00% |
| Thrillpnch vs Azucena | 3–2 | 60.00% |
| Thrillpnch vs Kazuya | 4–0 | 100.00% |
| Thrillpnch vs Lars | 2–2 | 50.00% |
| Thrillpnch vs Jun | 2–2 | 50.00% |
| Thrillpnch vs Heihachi | 0–4 | 0.00% |
| Thrillpnch vs Fahkumram | 0–4 | 0.00% |
| Thrillpnch vs Xiaoyu | 1–2 | 33.33% |
| Thrillpnch vs Alisa | 1–2 | 33.33% |
| Thrillpnch vs Nina | 2–1 | 66.67% |
| Thrillpnch vs Bryan | 0–2 | 0.00% |
| Thrillpnch vs Devil Jin | 0–2 | 0.00% |
| Thrillpnch vs Lili | 0–2 | 0.00% |
| Thrillpnch vs Dragunov | 2–0 | 100.00% |
| Thrillpnch vs Kuma | 0–2 | 0.00% |
| Thrillpnch vs Panda | 0–2 | 0.00% |
| Thrillpnch vs Lidia | 1–1 | 50.00% |
| Thrillpnch vs Clive | 0–2 | 0.00% |
| Thrillpnch vs Lee | 1–0 | 100.00% |
| Thrillpnch vs Victor | 1–0 | 100.00% |
| Thrillpnch vs Eddy | 0–1 | 0.00% |
| Thrillpnch vs Anna | 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.