| LuvfrmShibuya vs Reina | 18–15 | 54.55% |
| LuvfrmShibuya vs Eddy | 12–12 | 50.00% |
| LuvfrmShibuya vs King | 10–12 | 45.45% |
| LuvfrmShibuya vs Jin | 10–12 | 45.45% |
| LuvfrmShibuya vs Lidia | 9–11 | 45.00% |
| LuvfrmShibuya vs Steve | 7–12 | 36.84% |
| LuvfrmShibuya vs Hwoarang | 9–8 | 52.94% |
| LuvfrmShibuya vs Law | 8–7 | 53.33% |
| LuvfrmShibuya vs Jun | 6–9 | 40.00% |
| LuvfrmShibuya vs Lili | 9–5 | 64.29% |
| LuvfrmShibuya vs Kazuya | 9–3 | 75.00% |
| LuvfrmShibuya vs Devil Jin | 6–6 | 50.00% |
| LuvfrmShibuya vs Azucena | 1–10 | 9.09% |
| LuvfrmShibuya vs Asuka | 5–5 | 50.00% |
| LuvfrmShibuya vs Xiaoyu | 1–8 | 11.11% |
| LuvfrmShibuya vs Bryan | 3–6 | 33.33% |
| LuvfrmShibuya vs Dragunov | 2–7 | 22.22% |
| LuvfrmShibuya vs Lars | 3–5 | 37.50% |
| LuvfrmShibuya vs Victor | 5–3 | 62.50% |
| LuvfrmShibuya vs Lee | 2–5 | 28.57% |
| LuvfrmShibuya vs Feng | 3–3 | 50.00% |
| LuvfrmShibuya vs Raven | 4–2 | 66.67% |
| LuvfrmShibuya vs Leo | 2–3 | 40.00% |
| LuvfrmShibuya vs Alisa | 3–2 | 60.00% |
| LuvfrmShibuya vs Nina | 2–3 | 40.00% |
| LuvfrmShibuya vs Heihachi | 4–1 | 80.00% |
| LuvfrmShibuya vs Zafina | 1–3 | 25.00% |
| LuvfrmShibuya vs Clive | 2–2 | 50.00% |
| LuvfrmShibuya vs Jack-8 | 2–1 | 66.67% |
| LuvfrmShibuya vs Leroy | 2–1 | 66.67% |
| LuvfrmShibuya vs Paul | 0–2 | 0.00% |
| LuvfrmShibuya vs Yoshimitsu | 2–0 | 100.00% |
| LuvfrmShibuya vs Kuma | 1–1 | 50.00% |
| LuvfrmShibuya vs Claudio | 1–0 | 100.00% |
| LuvfrmShibuya vs Panda | 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.