| G1V35H34D vs Steve | 17–27 | 38.64% |
| G1V35H34D vs King | 11–17 | 39.29% |
| G1V35H34D vs Lili | 10–18 | 35.71% |
| G1V35H34D vs Azucena | 7–13 | 35.00% |
| G1V35H34D vs Reina | 12–6 | 66.67% |
| G1V35H34D vs Jin | 2–15 | 11.76% |
| G1V35H34D vs Jun | 5–11 | 31.25% |
| G1V35H34D vs Eddy | 5–11 | 31.25% |
| G1V35H34D vs Victor | 4–10 | 28.57% |
| G1V35H34D vs Armor King | 7–7 | 50.00% |
| G1V35H34D vs Bryan | 2–10 | 16.67% |
| G1V35H34D vs Dragunov | 5–7 | 41.67% |
| G1V35H34D vs Law | 1–10 | 9.09% |
| G1V35H34D vs Hwoarang | 6–5 | 54.55% |
| G1V35H34D vs Kazuya | 5–6 | 45.45% |
| G1V35H34D vs Lars | 3–7 | 30.00% |
| G1V35H34D vs Leo | 2–7 | 22.22% |
| G1V35H34D vs Lidia | 3–6 | 33.33% |
| G1V35H34D vs Lee | 4–4 | 50.00% |
| G1V35H34D vs Miary Zo | 7–1 | 87.50% |
| G1V35H34D vs Paul | 3–2 | 60.00% |
| G1V35H34D vs Asuka | 2–3 | 40.00% |
| G1V35H34D vs Fahkumram | 1–4 | 20.00% |
| G1V35H34D vs Xiaoyu | 1–3 | 25.00% |
| G1V35H34D vs Zafina | 4–0 | 100.00% |
| G1V35H34D vs Clive | 1–3 | 25.00% |
| G1V35H34D vs Claudio | 0–3 | 0.00% |
| G1V35H34D vs Shaheen | 0–3 | 0.00% |
| G1V35H34D vs Kuma | 1–2 | 33.33% |
| G1V35H34D vs Panda | 0–3 | 0.00% |
| G1V35H34D vs Raven | 1–2 | 33.33% |
| G1V35H34D vs Heihachi | 2–1 | 66.67% |
| G1V35H34D vs Jack-8 | 1–1 | 50.00% |
| G1V35H34D vs Nina | 0–2 | 0.00% |
| G1V35H34D vs Leroy | 0–2 | 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.