| Garrus vs Jin | 15–27 | 35.71% |
| Garrus vs Bryan | 19–12 | 61.29% |
| Garrus vs Kazuya | 19–12 | 61.29% |
| Garrus vs Hwoarang | 16–14 | 53.33% |
| Garrus vs Law | 16–13 | 55.17% |
| Garrus vs King | 12–15 | 44.44% |
| Garrus vs Dragunov | 14–13 | 51.85% |
| Garrus vs Reina | 11–13 | 45.83% |
| Garrus vs Lars | 12–11 | 52.17% |
| Garrus vs Yoshimitsu | 13–9 | 59.09% |
| Garrus vs Heihachi | 10–12 | 45.45% |
| Garrus vs Steve | 13–7 | 65.00% |
| Garrus vs Eddy | 8–12 | 40.00% |
| Garrus vs Lidia | 9–11 | 45.00% |
| Garrus vs Lee | 11–7 | 61.11% |
| Garrus vs Alisa | 6–7 | 46.15% |
| Garrus vs Asuka | 4–8 | 33.33% |
| Garrus vs Feng | 8–4 | 66.67% |
| Garrus vs Lili | 7–5 | 58.33% |
| Garrus vs Claudio | 7–5 | 58.33% |
| Garrus vs Xiaoyu | 5–6 | 45.45% |
| Garrus vs Jack-8 | 5–6 | 45.45% |
| Garrus vs Jun | 7–4 | 63.64% |
| Garrus vs Raven | 7–4 | 63.64% |
| Garrus vs Paul | 4–6 | 40.00% |
| Garrus vs Azucena | 5–3 | 62.50% |
| Garrus vs Nina | 5–2 | 71.43% |
| Garrus vs Victor | 4–3 | 57.14% |
| Garrus vs Shaheen | 4–2 | 66.67% |
| Garrus vs Leroy | 4–2 | 66.67% |
| Garrus vs Devil Jin | 2–3 | 40.00% |
| Garrus vs Kuma | 2–3 | 40.00% |
| Garrus vs Panda | 1–2 | 33.33% |
| Garrus vs Fahkumram | 2–1 | 66.67% |
| Garrus vs Leo | 2–0 | 100.00% |
| Garrus vs Anna | 2–0 | 100.00% |
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.