| i luv abgs vs Steve | 13–22 | 37.14% |
| i luv abgs vs Armor King | 15–17 | 46.88% |
| i luv abgs vs King | 17–13 | 56.67% |
| i luv abgs vs Miary Zo | 12–17 | 41.38% |
| i luv abgs vs Law | 12–12 | 50.00% |
| i luv abgs vs Jin | 10–12 | 45.45% |
| i luv abgs vs Hwoarang | 11–8 | 57.89% |
| i luv abgs vs Kazuya | 7–10 | 41.18% |
| i luv abgs vs Dragunov | 6–11 | 35.29% |
| i luv abgs vs Heihachi | 8–8 | 50.00% |
| i luv abgs vs Victor | 9–5 | 64.29% |
| i luv abgs vs Fahkumram | 8–6 | 57.14% |
| i luv abgs vs Yoshimitsu | 5–8 | 38.46% |
| i luv abgs vs Nina | 6–7 | 46.15% |
| i luv abgs vs Lili | 8–4 | 66.67% |
| i luv abgs vs Reina | 7–4 | 63.64% |
| i luv abgs vs Azucena | 5–6 | 45.45% |
| i luv abgs vs Clive | 4–7 | 36.36% |
| i luv abgs vs Kuma | 2–7 | 22.22% |
| i luv abgs vs Paul | 7–1 | 87.50% |
| i luv abgs vs Bryan | 5–3 | 62.50% |
| i luv abgs vs Lee | 5–3 | 62.50% |
| i luv abgs vs Jun | 4–4 | 50.00% |
| i luv abgs vs Eddy | 5–3 | 62.50% |
| i luv abgs vs Anna | 3–5 | 37.50% |
| i luv abgs vs Asuka | 4–3 | 57.14% |
| i luv abgs vs Lars | 2–5 | 28.57% |
| i luv abgs vs Xiaoyu | 1–5 | 16.67% |
| i luv abgs vs Leo | 4–2 | 66.67% |
| i luv abgs vs Feng | 3–2 | 60.00% |
| i luv abgs vs Raven | 3–2 | 60.00% |
| i luv abgs vs Panda | 2–2 | 50.00% |
| i luv abgs vs Alisa | 0–3 | 0.00% |
| i luv abgs vs Claudio | 1–2 | 33.33% |
| i luv abgs vs Shaheen | 2–1 | 66.67% |
| i luv abgs vs Leroy | 2–1 | 66.67% |
| i luv abgs vs Jack-8 | 1–1 | 50.00% |
| i luv abgs vs Devil Jin | 2–0 | 100.00% |
| i luv abgs vs Zafina | 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.