| Trogolo vs King | 23–30 | 43.40% |
| Trogolo vs Clive | 11–23 | 32.35% |
| Trogolo vs Reina | 16–13 | 55.17% |
| Trogolo vs Jin | 12–15 | 44.44% |
| Trogolo vs Steve | 11–16 | 40.74% |
| Trogolo vs Hwoarang | 11–15 | 42.31% |
| Trogolo vs Kazuya | 10–15 | 40.00% |
| Trogolo vs Eddy | 5–14 | 26.32% |
| Trogolo vs Law | 10–7 | 58.82% |
| Trogolo vs Lars | 7–9 | 43.75% |
| Trogolo vs Lili | 6–9 | 40.00% |
| Trogolo vs Azucena | 8–7 | 53.33% |
| Trogolo vs Asuka | 6–8 | 42.86% |
| Trogolo vs Bryan | 4–8 | 33.33% |
| Trogolo vs Jun | 3–9 | 25.00% |
| Trogolo vs Yoshimitsu | 1–10 | 9.09% |
| Trogolo vs Xiaoyu | 4–6 | 40.00% |
| Trogolo vs Dragunov | 8–2 | 80.00% |
| Trogolo vs Alisa | 3–6 | 33.33% |
| Trogolo vs Victor | 1–8 | 11.11% |
| Trogolo vs Paul | 5–3 | 62.50% |
| Trogolo vs Jack-8 | 4–4 | 50.00% |
| Trogolo vs Leo | 4–4 | 50.00% |
| Trogolo vs Nina | 5–1 | 83.33% |
| Trogolo vs Zafina | 5–1 | 83.33% |
| Trogolo vs Leroy | 4–2 | 66.67% |
| Trogolo vs Lidia | 5–1 | 83.33% |
| Trogolo vs Shaheen | 2–3 | 40.00% |
| Trogolo vs Claudio | 2–2 | 50.00% |
| Trogolo vs Lee | 1–3 | 25.00% |
| Trogolo vs Feng | 1–1 | 50.00% |
| Trogolo vs Panda | 0–2 | 0.00% |
| Trogolo vs Heihachi | 0–2 | 0.00% |
| Trogolo vs Fahkumram | 2–0 | 100.00% |
| Trogolo vs Devil Jin | 0–1 | 0.00% |
| Trogolo vs Kuma | 0–1 | 0.00% |
| Trogolo vs Raven | 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.