| Thrilligy vs Hwoarang | 14–24 | 36.84% |
| Thrilligy vs Reina | 22–14 | 61.11% |
| Thrilligy vs Bryan | 11–19 | 36.67% |
| Thrilligy vs Steve | 13–16 | 44.83% |
| Thrilligy vs King | 7–15 | 31.82% |
| Thrilligy vs Kazuya | 10–12 | 45.45% |
| Thrilligy vs Lidia | 6–15 | 28.57% |
| Thrilligy vs Yoshimitsu | 11–9 | 55.00% |
| Thrilligy vs Jin | 5–14 | 26.32% |
| Thrilligy vs Azucena | 8–10 | 44.44% |
| Thrilligy vs Miary Zo | 11–7 | 61.11% |
| Thrilligy vs Eddy | 7–10 | 41.18% |
| Thrilligy vs Asuka | 7–9 | 43.75% |
| Thrilligy vs Dragunov | 12–4 | 75.00% |
| Thrilligy vs Lars | 7–9 | 43.75% |
| Thrilligy vs Leo | 10–2 | 83.33% |
| Thrilligy vs Leroy | 6–6 | 50.00% |
| Thrilligy vs Jack-8 | 3–7 | 30.00% |
| Thrilligy vs Devil Jin | 3–7 | 30.00% |
| Thrilligy vs Lili | 4–6 | 40.00% |
| Thrilligy vs Shaheen | 4–6 | 40.00% |
| Thrilligy vs Jun | 5–5 | 50.00% |
| Thrilligy vs Feng | 6–3 | 66.67% |
| Thrilligy vs Victor | 6–3 | 66.67% |
| Thrilligy vs Paul | 4–4 | 50.00% |
| Thrilligy vs Claudio | 1–7 | 12.50% |
| Thrilligy vs Lee | 5–3 | 62.50% |
| Thrilligy vs Law | 4–3 | 57.14% |
| Thrilligy vs Xiaoyu | 3–3 | 50.00% |
| Thrilligy vs Heihachi | 3–3 | 50.00% |
| Thrilligy vs Clive | 4–2 | 66.67% |
| Thrilligy vs Kuma | 3–2 | 60.00% |
| Thrilligy vs Nina | 2–2 | 50.00% |
| Thrilligy vs Raven | 1–3 | 25.00% |
| Thrilligy vs Panda | 0–3 | 0.00% |
| Thrilligy vs Fahkumram | 3–0 | 100.00% |
| Thrilligy vs Anna | 2–0 | 100.00% |
| Thrilligy vs Alisa | 0–1 | 0.00% |
| Thrilligy vs Zafina | 1–0 | 100.00% |
| Thrilligy vs Armor King | 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.