| GodDangTyler vs King | 47–123 | 27.65% |
| GodDangTyler vs Jin | 47–93 | 33.57% |
| GodDangTyler vs Reina | 50–84 | 37.31% |
| GodDangTyler vs Kazuya | 57–61 | 48.31% |
| GodDangTyler vs Eddy | 29–74 | 28.16% |
| GodDangTyler vs Steve | 24–73 | 24.74% |
| GodDangTyler vs Lili | 30–51 | 37.04% |
| GodDangTyler vs Bryan | 21–56 | 27.27% |
| GodDangTyler vs Law | 25–47 | 34.72% |
| GodDangTyler vs Hwoarang | 13–53 | 19.70% |
| GodDangTyler vs Jun | 23–39 | 37.10% |
| GodDangTyler vs Azucena | 11–48 | 18.64% |
| GodDangTyler vs Victor | 20–38 | 34.48% |
| GodDangTyler vs Lars | 22–34 | 39.29% |
| GodDangTyler vs Dragunov | 19–33 | 36.54% |
| GodDangTyler vs Lee | 16–36 | 30.77% |
| GodDangTyler vs Yoshimitsu | 21–28 | 42.86% |
| GodDangTyler vs Paul | 20–27 | 42.55% |
| GodDangTyler vs Asuka | 11–33 | 25.00% |
| GodDangTyler vs Leo | 15–29 | 34.09% |
| GodDangTyler vs Alisa | 19–25 | 43.18% |
| GodDangTyler vs Xiaoyu | 21–22 | 48.84% |
| GodDangTyler vs Nina | 20–23 | 46.51% |
| GodDangTyler vs Leroy | 23–20 | 53.49% |
| GodDangTyler vs Zafina | 15–20 | 42.86% |
| GodDangTyler vs Heihachi | 9–23 | 28.12% |
| GodDangTyler vs Devil Jin | 10–17 | 37.04% |
| GodDangTyler vs Feng | 9–18 | 33.33% |
| GodDangTyler vs Lidia | 9–16 | 36.00% |
| GodDangTyler vs Clive | 8–15 | 34.78% |
| GodDangTyler vs Raven | 3–18 | 14.29% |
| GodDangTyler vs Claudio | 5–14 | 26.32% |
| GodDangTyler vs Jack-8 | 6–9 | 40.00% |
| GodDangTyler vs Kuma | 6–6 | 50.00% |
| GodDangTyler vs Anna | 4–6 | 40.00% |
| GodDangTyler vs Shaheen | 2–4 | 33.33% |
| GodDangTyler vs Fahkumram | 0–4 | 0.00% |
| GodDangTyler vs Panda | 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.