| tylr vs Armor King | 30–30 | 50.00% |
| tylr vs Miary Zo | 28–28 | 50.00% |
| tylr vs King | 28–18 | 60.87% |
| tylr vs Bryan | 16–20 | 44.44% |
| tylr vs Kazuya | 10–22 | 31.25% |
| tylr vs Jin | 15–16 | 48.39% |
| tylr vs Law | 11–16 | 40.74% |
| tylr vs Lili | 13–13 | 50.00% |
| tylr vs Fahkumram | 14–11 | 56.00% |
| tylr vs Steve | 12–10 | 54.55% |
| tylr vs Hwoarang | 8–12 | 40.00% |
| tylr vs Eddy | 7–13 | 35.00% |
| tylr vs Yoshimitsu | 8–11 | 42.11% |
| tylr vs Lee | 8–11 | 42.11% |
| tylr vs Victor | 11–8 | 57.89% |
| tylr vs Azucena | 10–7 | 58.82% |
| tylr vs Paul | 10–5 | 66.67% |
| tylr vs Reina | 9–6 | 60.00% |
| tylr vs Alisa | 5–8 | 38.46% |
| tylr vs Lidia | 7–6 | 53.85% |
| tylr vs Asuka | 4–7 | 36.36% |
| tylr vs Dragunov | 6–5 | 54.55% |
| tylr vs Heihachi | 5–6 | 45.45% |
| tylr vs Devil Jin | 3–7 | 30.00% |
| tylr vs Xiaoyu | 4–5 | 44.44% |
| tylr vs Jun | 2–7 | 22.22% |
| tylr vs Claudio | 6–2 | 75.00% |
| tylr vs Leroy | 5–3 | 62.50% |
| tylr vs Jack-8 | 3–3 | 50.00% |
| tylr vs Leo | 4–2 | 66.67% |
| tylr vs Lars | 4–2 | 66.67% |
| tylr vs Nina | 0–6 | 0.00% |
| tylr vs Raven | 2–4 | 33.33% |
| tylr vs Anna | 1–5 | 16.67% |
| tylr vs Feng | 5–0 | 100.00% |
| tylr vs Clive | 3–2 | 60.00% |
| tylr vs Zafina | 2–2 | 50.00% |
| tylr vs Kuma | 2–0 | 100.00% |
| tylr vs Panda | 0–1 | 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.