| GrimGoblin vs Kazuya | 96–86 | 52.75% |
| GrimGoblin vs King | 75–82 | 47.77% |
| GrimGoblin vs Bryan | 66–81 | 44.90% |
| GrimGoblin vs Hwoarang | 67–74 | 47.52% |
| GrimGoblin vs Law | 85–50 | 62.96% |
| GrimGoblin vs Jin | 60–70 | 46.15% |
| GrimGoblin vs Paul | 47–60 | 43.93% |
| GrimGoblin vs Dragunov | 41–58 | 41.41% |
| GrimGoblin vs Reina | 43–49 | 46.74% |
| GrimGoblin vs Steve | 37–53 | 41.11% |
| GrimGoblin vs Lili | 39–34 | 53.42% |
| GrimGoblin vs Asuka | 35–37 | 48.61% |
| GrimGoblin vs Devil Jin | 33–39 | 45.83% |
| GrimGoblin vs Xiaoyu | 37–28 | 56.92% |
| GrimGoblin vs Yoshimitsu | 30–33 | 47.62% |
| GrimGoblin vs Jun | 36–21 | 63.16% |
| GrimGoblin vs Eddy | 31–23 | 57.41% |
| GrimGoblin vs Nina | 20–32 | 38.46% |
| GrimGoblin vs Heihachi | 14–38 | 26.92% |
| GrimGoblin vs Alisa | 16–28 | 36.36% |
| GrimGoblin vs Azucena | 20–24 | 45.45% |
| GrimGoblin vs Victor | 13–29 | 30.95% |
| GrimGoblin vs Lidia | 19–22 | 46.34% |
| GrimGoblin vs Feng | 13–25 | 34.21% |
| GrimGoblin vs Claudio | 17–20 | 45.95% |
| GrimGoblin vs Lee | 12–25 | 32.43% |
| GrimGoblin vs Lars | 14–22 | 38.89% |
| GrimGoblin vs Jack-8 | 17–11 | 60.71% |
| GrimGoblin vs Clive | 7–21 | 25.00% |
| GrimGoblin vs Raven | 11–14 | 44.00% |
| GrimGoblin vs Leroy | 10–14 | 41.67% |
| GrimGoblin vs Leo | 8–15 | 34.78% |
| GrimGoblin vs Armor King | 7–14 | 33.33% |
| GrimGoblin vs Miary Zo | 1–20 | 4.76% |
| GrimGoblin vs Zafina | 10–10 | 50.00% |
| GrimGoblin vs Fahkumram | 3–15 | 16.67% |
| GrimGoblin vs Kuma | 6–9 | 40.00% |
| GrimGoblin vs Anna | 8–7 | 53.33% |
| GrimGoblin vs Shaheen | 5–6 | 45.45% |
| GrimGoblin vs Panda | 3–3 | 50.00% |
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.