| Gosth-Mig vs King | 56–54 | 50.91% |
| Gosth-Mig vs Jin | 62–47 | 56.88% |
| Gosth-Mig vs Clive | 52–52 | 50.00% |
| Gosth-Mig vs Kazuya | 38–47 | 44.71% |
| Gosth-Mig vs Hwoarang | 44–36 | 55.00% |
| Gosth-Mig vs Bryan | 41–37 | 52.56% |
| Gosth-Mig vs Law | 30–41 | 42.25% |
| Gosth-Mig vs Reina | 36–33 | 52.17% |
| Gosth-Mig vs Steve | 36–28 | 56.25% |
| Gosth-Mig vs Heihachi | 27–36 | 42.86% |
| Gosth-Mig vs Dragunov | 30–32 | 48.39% |
| Gosth-Mig vs Eddy | 26–27 | 49.06% |
| Gosth-Mig vs Lili | 26–25 | 50.98% |
| Gosth-Mig vs Asuka | 22–23 | 48.89% |
| Gosth-Mig vs Yoshimitsu | 15–28 | 34.88% |
| Gosth-Mig vs Jun | 20–21 | 48.78% |
| Gosth-Mig vs Azucena | 18–16 | 52.94% |
| Gosth-Mig vs Anna | 17–17 | 50.00% |
| Gosth-Mig vs Paul | 16–17 | 48.48% |
| Gosth-Mig vs Nina | 21–10 | 67.74% |
| Gosth-Mig vs Xiaoyu | 13–15 | 46.43% |
| Gosth-Mig vs Alisa | 6–22 | 21.43% |
| Gosth-Mig vs Devil Jin | 9–16 | 36.00% |
| Gosth-Mig vs Jack-8 | 9–15 | 37.50% |
| Gosth-Mig vs Victor | 11–13 | 45.83% |
| Gosth-Mig vs Lars | 8–15 | 34.78% |
| Gosth-Mig vs Lee | 12–8 | 60.00% |
| Gosth-Mig vs Kuma | 9–10 | 47.37% |
| Gosth-Mig vs Feng | 8–10 | 44.44% |
| Gosth-Mig vs Leroy | 7–9 | 43.75% |
| Gosth-Mig vs Lidia | 6–10 | 37.50% |
| Gosth-Mig vs Raven | 5–9 | 35.71% |
| Gosth-Mig vs Claudio | 5–7 | 41.67% |
| Gosth-Mig vs Leo | 5–6 | 45.45% |
| Gosth-Mig vs Shaheen | 3–7 | 30.00% |
| Gosth-Mig vs Panda | 4–4 | 50.00% |
| Gosth-Mig vs Fahkumram | 5–3 | 62.50% |
| Gosth-Mig vs Zafina | 5–2 | 71.43% |
| Gosth-Mig vs Armor King | 3–1 | 75.00% |
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.