| Trykster vs Jin | 38–49 | 43.68% |
| Trykster vs Lidia | 43–44 | 49.43% |
| Trykster vs Clive | 45–38 | 54.22% |
| Trykster vs King | 45–37 | 54.88% |
| Trykster vs Kazuya | 39–27 | 59.09% |
| Trykster vs Reina | 34–26 | 56.67% |
| Trykster vs Steve | 37–14 | 72.55% |
| Trykster vs Law | 19–28 | 40.43% |
| Trykster vs Jun | 20–26 | 43.48% |
| Trykster vs Asuka | 26–19 | 57.78% |
| Trykster vs Bryan | 21–20 | 51.22% |
| Trykster vs Lili | 13–25 | 34.21% |
| Trykster vs Paul | 12–25 | 32.43% |
| Trykster vs Eddy | 11–22 | 33.33% |
| Trykster vs Hwoarang | 19–12 | 61.29% |
| Trykster vs Xiaoyu | 15–15 | 50.00% |
| Trykster vs Dragunov | 12–17 | 41.38% |
| Trykster vs Alisa | 11–17 | 39.29% |
| Trykster vs Azucena | 14–14 | 50.00% |
| Trykster vs Lars | 12–15 | 44.44% |
| Trykster vs Lee | 13–13 | 50.00% |
| Trykster vs Nina | 10–15 | 40.00% |
| Trykster vs Yoshimitsu | 12–12 | 50.00% |
| Trykster vs Leo | 12–11 | 52.17% |
| Trykster vs Kuma | 9–12 | 42.86% |
| Trykster vs Leroy | 9–12 | 42.86% |
| Trykster vs Heihachi | 11–9 | 55.00% |
| Trykster vs Feng | 8–10 | 44.44% |
| Trykster vs Raven | 8–10 | 44.44% |
| Trykster vs Jack-8 | 10–6 | 62.50% |
| Trykster vs Victor | 5–10 | 33.33% |
| Trykster vs Devil Jin | 7–6 | 53.85% |
| Trykster vs Shaheen | 11–2 | 84.62% |
| Trykster vs Claudio | 7–4 | 63.64% |
| Trykster vs Zafina | 3–7 | 30.00% |
| Trykster vs Panda | 4–5 | 44.44% |
| Trykster vs Fahkumram | 6–3 | 66.67% |
| Trykster vs Anna | 2–1 | 66.67% |
| Trykster vs Armor King | 2–0 | 100.00% |
| Trykster vs Miary Zo | 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.