| TrillySumElse vs Law | 24–13 | 64.86% |
| TrillySumElse vs Steve | 19–17 | 52.78% |
| TrillySumElse vs Kazuya | 22–11 | 66.67% |
| TrillySumElse vs Jun | 18–13 | 58.06% |
| TrillySumElse vs King | 19–11 | 63.33% |
| TrillySumElse vs Reina | 19–10 | 65.52% |
| TrillySumElse vs Lidia | 22–4 | 84.62% |
| TrillySumElse vs Jin | 15–10 | 60.00% |
| TrillySumElse vs Eddy | 13–11 | 54.17% |
| TrillySumElse vs Hwoarang | 14–9 | 60.87% |
| TrillySumElse vs Lili | 13–9 | 59.09% |
| TrillySumElse vs Heihachi | 8–13 | 38.10% |
| TrillySumElse vs Xiaoyu | 10–7 | 58.82% |
| TrillySumElse vs Lee | 11–6 | 64.71% |
| TrillySumElse vs Azucena | 9–8 | 52.94% |
| TrillySumElse vs Dragunov | 14–2 | 87.50% |
| TrillySumElse vs Leroy | 9–7 | 56.25% |
| TrillySumElse vs Fahkumram | 11–4 | 73.33% |
| TrillySumElse vs Yoshimitsu | 7–7 | 50.00% |
| TrillySumElse vs Victor | 11–3 | 78.57% |
| TrillySumElse vs Lars | 7–6 | 53.85% |
| TrillySumElse vs Asuka | 7–5 | 58.33% |
| TrillySumElse vs Anna | 9–3 | 75.00% |
| TrillySumElse vs Jack-8 | 6–5 | 54.55% |
| TrillySumElse vs Feng | 4–7 | 36.36% |
| TrillySumElse vs Nina | 8–3 | 72.73% |
| TrillySumElse vs Raven | 6–5 | 54.55% |
| TrillySumElse vs Clive | 7–4 | 63.64% |
| TrillySumElse vs Bryan | 5–5 | 50.00% |
| TrillySumElse vs Armor King | 5–5 | 50.00% |
| TrillySumElse vs Devil Jin | 6–2 | 75.00% |
| TrillySumElse vs Leo | 5–3 | 62.50% |
| TrillySumElse vs Alisa | 3–5 | 37.50% |
| TrillySumElse vs Zafina | 3–3 | 50.00% |
| TrillySumElse vs Paul | 1–2 | 33.33% |
| TrillySumElse vs Shaheen | 0–2 | 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.