| GrimForecast vs Heihachi | 19–24 | 44.19% |
| GrimForecast vs Jin | 27–15 | 64.29% |
| GrimForecast vs Kazuya | 22–20 | 52.38% |
| GrimForecast vs Hwoarang | 22–19 | 53.66% |
| GrimForecast vs Clive | 25–15 | 62.50% |
| GrimForecast vs King | 28–10 | 73.68% |
| GrimForecast vs Dragunov | 17–16 | 51.52% |
| GrimForecast vs Law | 25–5 | 83.33% |
| GrimForecast vs Bryan | 15–14 | 51.72% |
| GrimForecast vs Nina | 21–7 | 75.00% |
| GrimForecast vs Lili | 12–14 | 46.15% |
| GrimForecast vs Yoshimitsu | 9–13 | 40.91% |
| GrimForecast vs Asuka | 10–12 | 45.45% |
| GrimForecast vs Reina | 15–5 | 75.00% |
| GrimForecast vs Jun | 7–10 | 41.18% |
| GrimForecast vs Eddy | 8–8 | 50.00% |
| GrimForecast vs Steve | 9–4 | 69.23% |
| GrimForecast vs Kuma | 5–8 | 38.46% |
| GrimForecast vs Azucena | 8–5 | 61.54% |
| GrimForecast vs Lidia | 8–5 | 61.54% |
| GrimForecast vs Alisa | 6–6 | 50.00% |
| GrimForecast vs Victor | 4–8 | 33.33% |
| GrimForecast vs Jack-8 | 7–4 | 63.64% |
| GrimForecast vs Feng | 7–4 | 63.64% |
| GrimForecast vs Paul | 8–1 | 88.89% |
| GrimForecast vs Devil Jin | 6–3 | 66.67% |
| GrimForecast vs Claudio | 6–3 | 66.67% |
| GrimForecast vs Leroy | 7–2 | 77.78% |
| GrimForecast vs Raven | 4–4 | 50.00% |
| GrimForecast vs Lee | 3–4 | 42.86% |
| GrimForecast vs Xiaoyu | 4–2 | 66.67% |
| GrimForecast vs Lars | 3–2 | 60.00% |
| GrimForecast vs Miary Zo | 4–1 | 80.00% |
| GrimForecast vs Leo | 2–1 | 66.67% |
| GrimForecast vs Panda | 2–1 | 66.67% |
| GrimForecast vs Zafina | 2–1 | 66.67% |
| GrimForecast vs Shaheen | 1–1 | 50.00% |
| GrimForecast vs Fahkumram | 0–2 | 0.00% |
| GrimForecast vs Armor King | 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.