| IN上海グレイフィア vs Clive | 4–15 | 21.05% |
| IN上海グレイフィア vs Steve | 7–10 | 41.18% |
| IN上海グレイフィア vs Reina | 7–10 | 41.18% |
| IN上海グレイフィア vs King | 8–8 | 50.00% |
| IN上海グレイフィア vs Victor | 2–14 | 12.50% |
| IN上海グレイフィア vs Hwoarang | 5–10 | 33.33% |
| IN上海グレイフィア vs Jin | 3–9 | 25.00% |
| IN上海グレイフィア vs Dragunov | 5–7 | 41.67% |
| IN上海グレイフィア vs Paul | 4–7 | 36.36% |
| IN上海グレイフィア vs Law | 4–7 | 36.36% |
| IN上海グレイフィア vs Asuka | 4–7 | 36.36% |
| IN上海グレイフィア vs Kazuya | 3–5 | 37.50% |
| IN上海グレイフィア vs Nina | 2–6 | 25.00% |
| IN上海グレイフィア vs Kuma | 3–5 | 37.50% |
| IN上海グレイフィア vs Claudio | 2–5 | 28.57% |
| IN上海グレイフィア vs Jun | 2–5 | 28.57% |
| IN上海グレイフィア vs Yoshimitsu | 5–1 | 83.33% |
| IN上海グレイフィア vs Xiaoyu | 0–6 | 0.00% |
| IN上海グレイフィア vs Lars | 1–5 | 16.67% |
| IN上海グレイフィア vs Devil Jin | 0–3 | 0.00% |
| IN上海グレイフィア vs Lee | 1–2 | 33.33% |
| IN上海グレイフィア vs Lidia | 0–3 | 0.00% |
| IN上海グレイフィア vs Heihachi | 2–1 | 66.67% |
| IN上海グレイフィア vs Bryan | 1–1 | 50.00% |
| IN上海グレイフィア vs Alisa | 2–0 | 100.00% |
| IN上海グレイフィア vs Shaheen | 0–2 | 0.00% |
| IN上海グレイフィア vs Zafina | 0–2 | 0.00% |
| IN上海グレイフィア vs Jack-8 | 0–1 | 0.00% |
| IN上海グレイフィア vs Feng | 0–1 | 0.00% |
| IN上海グレイフィア vs Lili | 1–0 | 100.00% |
| IN上海グレイフィア vs Panda | 0–1 | 0.00% |
| IN上海グレイフィア vs Leroy | 1–0 | 100.00% |
| IN上海グレイフィア vs Azucena | 1–0 | 100.00% |
| IN上海グレイフィア vs Anna | 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.