| GIaLG1a_006 vs Armor King | 22–14 | 61.11% |
| GIaLG1a_006 vs King | 6–7 | 46.15% |
| GIaLG1a_006 vs Hwoarang | 10–1 | 90.91% |
| GIaLG1a_006 vs Bryan | 9–2 | 81.82% |
| GIaLG1a_006 vs Reina | 10–1 | 90.91% |
| GIaLG1a_006 vs Jun | 7–3 | 70.00% |
| GIaLG1a_006 vs Law | 6–3 | 66.67% |
| GIaLG1a_006 vs Lili | 4–5 | 44.44% |
| GIaLG1a_006 vs Yoshimitsu | 5–3 | 62.50% |
| GIaLG1a_006 vs Steve | 6–2 | 75.00% |
| GIaLG1a_006 vs Kazuya | 3–4 | 42.86% |
| GIaLG1a_006 vs Jack-8 | 4–3 | 57.14% |
| GIaLG1a_006 vs Heihachi | 6–1 | 85.71% |
| GIaLG1a_006 vs Clive | 1–6 | 14.29% |
| GIaLG1a_006 vs Jin | 0–6 | 0.00% |
| GIaLG1a_006 vs Asuka | 6–0 | 100.00% |
| GIaLG1a_006 vs Dragunov | 1–4 | 20.00% |
| GIaLG1a_006 vs Lars | 5–0 | 100.00% |
| GIaLG1a_006 vs Nina | 3–2 | 60.00% |
| GIaLG1a_006 vs Lidia | 3–2 | 60.00% |
| GIaLG1a_006 vs Devil Jin | 4–0 | 100.00% |
| GIaLG1a_006 vs Lee | 3–1 | 75.00% |
| GIaLG1a_006 vs Eddy | 2–2 | 50.00% |
| GIaLG1a_006 vs Fahkumram | 1–2 | 33.33% |
| GIaLG1a_006 vs Alisa | 2–0 | 100.00% |
| GIaLG1a_006 vs Zafina | 2–0 | 100.00% |
| GIaLG1a_006 vs Leroy | 2–0 | 100.00% |
| GIaLG1a_006 vs Azucena | 2–0 | 100.00% |
| GIaLG1a_006 vs Victor | 1–1 | 50.00% |
| GIaLG1a_006 vs Anna | 2–0 | 100.00% |
| GIaLG1a_006 vs Paul | 1–0 | 100.00% |
| GIaLG1a_006 vs Claudio | 1–0 | 100.00% |
| GIaLG1a_006 vs Shaheen | 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.