| Gggggg vs Jin | 21–28 | 42.86% |
| Gggggg vs Steve | 18–29 | 38.30% |
| Gggggg vs Lili | 19–13 | 59.38% |
| Gggggg vs King | 10–21 | 32.26% |
| Gggggg vs Yoshimitsu | 15–16 | 48.39% |
| Gggggg vs Dragunov | 11–20 | 35.48% |
| Gggggg vs Kazuya | 8–18 | 30.77% |
| Gggggg vs Law | 10–15 | 40.00% |
| Gggggg vs Eddy | 6–15 | 28.57% |
| Gggggg vs Bryan | 7–13 | 35.00% |
| Gggggg vs Reina | 13–7 | 65.00% |
| Gggggg vs Hwoarang | 12–6 | 66.67% |
| Gggggg vs Heihachi | 5–11 | 31.25% |
| Gggggg vs Leo | 3–11 | 21.43% |
| Gggggg vs Nina | 10–4 | 71.43% |
| Gggggg vs Azucena | 4–10 | 28.57% |
| Gggggg vs Lars | 1–12 | 7.69% |
| Gggggg vs Jack-8 | 7–5 | 58.33% |
| Gggggg vs Paul | 6–5 | 54.55% |
| Gggggg vs Jun | 5–6 | 45.45% |
| Gggggg vs Victor | 4–6 | 40.00% |
| Gggggg vs Raven | 3–7 | 30.00% |
| Gggggg vs Alisa | 4–5 | 44.44% |
| Gggggg vs Lidia | 5–4 | 55.56% |
| Gggggg vs Miary Zo | 3–5 | 37.50% |
| Gggggg vs Anna | 3–3 | 50.00% |
| Gggggg vs Armor King | 0–6 | 0.00% |
| Gggggg vs Claudio | 2–3 | 40.00% |
| Gggggg vs Lee | 1–4 | 20.00% |
| Gggggg vs Leroy | 3–2 | 60.00% |
| Gggggg vs Clive | 0–5 | 0.00% |
| Gggggg vs Xiaoyu | 0–4 | 0.00% |
| Gggggg vs Asuka | 2–2 | 50.00% |
| Gggggg vs Devil Jin | 0–4 | 0.00% |
| Gggggg vs Zafina | 2–2 | 50.00% |
| Gggggg vs Fahkumram | 4–0 | 100.00% |
| Gggggg vs Feng | 0–2 | 0.00% |
| Gggggg vs Kuma | 1–1 | 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.