| Trigga3ffect vs Reina | 30–6 | 83.33% |
| Trigga3ffect vs Law | 24–3 | 88.89% |
| Trigga3ffect vs Jin | 20–7 | 74.07% |
| Trigga3ffect vs Kazuya | 18–8 | 69.23% |
| Trigga3ffect vs King | 17–5 | 77.27% |
| Trigga3ffect vs Hwoarang | 12–9 | 57.14% |
| Trigga3ffect vs Dragunov | 14–6 | 70.00% |
| Trigga3ffect vs Asuka | 15–3 | 83.33% |
| Trigga3ffect vs Steve | 10–6 | 62.50% |
| Trigga3ffect vs Devil Jin | 9–6 | 60.00% |
| Trigga3ffect vs Eddy | 10–5 | 66.67% |
| Trigga3ffect vs Lili | 10–4 | 71.43% |
| Trigga3ffect vs Leo | 9–5 | 64.29% |
| Trigga3ffect vs Nina | 13–1 | 92.86% |
| Trigga3ffect vs Azucena | 11–3 | 78.57% |
| Trigga3ffect vs Victor | 12–2 | 85.71% |
| Trigga3ffect vs Feng | 6–6 | 50.00% |
| Trigga3ffect vs Fahkumram | 7–5 | 58.33% |
| Trigga3ffect vs Xiaoyu | 7–4 | 63.64% |
| Trigga3ffect vs Claudio | 7–4 | 63.64% |
| Trigga3ffect vs Heihachi | 10–1 | 90.91% |
| Trigga3ffect vs Paul | 7–3 | 70.00% |
| Trigga3ffect vs Bryan | 7–3 | 70.00% |
| Trigga3ffect vs Lee | 7–3 | 70.00% |
| Trigga3ffect vs Alisa | 6–3 | 66.67% |
| Trigga3ffect vs Shaheen | 6–2 | 75.00% |
| Trigga3ffect vs Lidia | 6–2 | 75.00% |
| Trigga3ffect vs Raven | 6–1 | 85.71% |
| Trigga3ffect vs Yoshimitsu | 4–2 | 66.67% |
| Trigga3ffect vs Kuma | 4–2 | 66.67% |
| Trigga3ffect vs Leroy | 3–3 | 50.00% |
| Trigga3ffect vs Jun | 5–1 | 83.33% |
| Trigga3ffect vs Anna | 6–0 | 100.00% |
| Trigga3ffect vs Armor King | 2–1 | 66.67% |
| Trigga3ffect vs Lars | 2–0 | 100.00% |
| Trigga3ffect vs Panda | 2–0 | 100.00% |
| Trigga3ffect vs Jack-8 | 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.