| gabbar vs King | 45–41 | 52.33% |
| gabbar vs Kazuya | 42–31 | 57.53% |
| gabbar vs Jin | 28–24 | 53.85% |
| gabbar vs Bryan | 27–17 | 61.36% |
| gabbar vs Dragunov | 16–24 | 40.00% |
| gabbar vs Steve | 19–16 | 54.29% |
| gabbar vs Hwoarang | 12–16 | 42.86% |
| gabbar vs Law | 14–12 | 53.85% |
| gabbar vs Armor King | 11–15 | 42.31% |
| gabbar vs Victor | 11–14 | 44.00% |
| gabbar vs Heihachi | 15–10 | 60.00% |
| gabbar vs Paul | 14–7 | 66.67% |
| gabbar vs Eddy | 10–9 | 52.63% |
| gabbar vs Reina | 10–8 | 55.56% |
| gabbar vs Clive | 8–9 | 47.06% |
| gabbar vs Yoshimitsu | 3–11 | 21.43% |
| gabbar vs Lili | 6–5 | 54.55% |
| gabbar vs Nina | 3–7 | 30.00% |
| gabbar vs Lars | 6–3 | 66.67% |
| gabbar vs Jun | 4–5 | 44.44% |
| gabbar vs Leo | 0–8 | 0.00% |
| gabbar vs Fahkumram | 6–2 | 75.00% |
| gabbar vs Asuka | 0–7 | 0.00% |
| gabbar vs Feng | 3–3 | 50.00% |
| gabbar vs Alisa | 4–1 | 80.00% |
| gabbar vs Leroy | 3–2 | 60.00% |
| gabbar vs Anna | 1–4 | 20.00% |
| gabbar vs Shaheen | 2–2 | 50.00% |
| gabbar vs Jack-8 | 2–1 | 66.67% |
| gabbar vs Devil Jin | 2–1 | 66.67% |
| gabbar vs Panda | 0–3 | 0.00% |
| gabbar vs Azucena | 1–2 | 33.33% |
| gabbar vs Miary Zo | 0–3 | 0.00% |
| gabbar vs Xiaoyu | 0–2 | 0.00% |
| gabbar vs Claudio | 2–0 | 100.00% |
| gabbar vs Lee | 0–2 | 0.00% |
| gabbar vs Kuma | 0–2 | 0.00% |
| gabbar vs Lidia | 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.