| Goffer vs King | 23–35 | 39.66% |
| Goffer vs Law | 25–13 | 65.79% |
| Goffer vs Jin | 12–25 | 32.43% |
| Goffer vs Kazuya | 11–25 | 30.56% |
| Goffer vs Dragunov | 16–17 | 48.48% |
| Goffer vs Reina | 13–16 | 44.83% |
| Goffer vs Lili | 12–12 | 50.00% |
| Goffer vs Heihachi | 13–10 | 56.52% |
| Goffer vs Jun | 12–10 | 54.55% |
| Goffer vs Steve | 16–4 | 80.00% |
| Goffer vs Devil Jin | 3–16 | 15.79% |
| Goffer vs Eddy | 5–13 | 27.78% |
| Goffer vs Hwoarang | 7–10 | 41.18% |
| Goffer vs Paul | 1–15 | 6.25% |
| Goffer vs Bryan | 1–15 | 6.25% |
| Goffer vs Victor | 6–9 | 40.00% |
| Goffer vs Lidia | 6–9 | 40.00% |
| Goffer vs Clive | 9–6 | 60.00% |
| Goffer vs Azucena | 11–3 | 78.57% |
| Goffer vs Nina | 6–6 | 50.00% |
| Goffer vs Leroy | 5–6 | 45.45% |
| Goffer vs Asuka | 3–7 | 30.00% |
| Goffer vs Leo | 4–5 | 44.44% |
| Goffer vs Lars | 4–5 | 44.44% |
| Goffer vs Alisa | 1–8 | 11.11% |
| Goffer vs Claudio | 4–4 | 50.00% |
| Goffer vs Lee | 3–5 | 37.50% |
| Goffer vs Yoshimitsu | 1–6 | 14.29% |
| Goffer vs Feng | 1–5 | 16.67% |
| Goffer vs Shaheen | 1–5 | 16.67% |
| Goffer vs Armor King | 2–4 | 33.33% |
| Goffer vs Jack-8 | 2–3 | 40.00% |
| Goffer vs Xiaoyu | 4–0 | 100.00% |
| Goffer vs Zafina | 2–2 | 50.00% |
| Goffer vs Anna | 3–1 | 75.00% |
| Goffer vs Kuma | 2–0 | 100.00% |
| Goffer vs Raven | 1–1 | 50.00% |
| Goffer vs Miary Zo | 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.