| Goblin vs Hwoarang | 23–31 | 42.59% |
| Goblin vs King | 22–25 | 46.81% |
| Goblin vs Jin | 15–30 | 33.33% |
| Goblin vs Steve | 20–21 | 48.78% |
| Goblin vs Kazuya | 5–34 | 12.82% |
| Goblin vs Law | 15–17 | 46.88% |
| Goblin vs Dragunov | 9–22 | 29.03% |
| Goblin vs Paul | 11–14 | 44.00% |
| Goblin vs Lili | 11–14 | 44.00% |
| Goblin vs Nina | 16–9 | 64.00% |
| Goblin vs Eddy | 11–13 | 45.83% |
| Goblin vs Bryan | 8–14 | 36.36% |
| Goblin vs Reina | 6–13 | 31.58% |
| Goblin vs Jun | 6–11 | 35.29% |
| Goblin vs Xiaoyu | 4–12 | 25.00% |
| Goblin vs Lidia | 8–8 | 50.00% |
| Goblin vs Clive | 5–11 | 31.25% |
| Goblin vs Yoshimitsu | 3–12 | 20.00% |
| Goblin vs Azucena | 7–8 | 46.67% |
| Goblin vs Fahkumram | 5–10 | 33.33% |
| Goblin vs Lars | 5–9 | 35.71% |
| Goblin vs Victor | 3–10 | 23.08% |
| Goblin vs Anna | 6–7 | 46.15% |
| Goblin vs Asuka | 3–9 | 25.00% |
| Goblin vs Claudio | 2–10 | 16.67% |
| Goblin vs Devil Jin | 3–7 | 30.00% |
| Goblin vs Feng | 3–5 | 37.50% |
| Goblin vs Leo | 2–6 | 25.00% |
| Goblin vs Alisa | 4–4 | 50.00% |
| Goblin vs Shaheen | 2–6 | 25.00% |
| Goblin vs Leroy | 6–2 | 75.00% |
| Goblin vs Lee | 2–5 | 28.57% |
| Goblin vs Jack-8 | 1–5 | 16.67% |
| Goblin vs Heihachi | 2–4 | 33.33% |
| Goblin vs Panda | 2–3 | 40.00% |
| Goblin vs Raven | 3–1 | 75.00% |
| Goblin vs Kuma | 0–2 | 0.00% |
| Goblin vs Zafina | 2–0 | 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.