| GiwrgosAMG vs Jin | 29–47 | 38.16% |
| GiwrgosAMG vs Kazuya | 22–27 | 44.90% |
| GiwrgosAMG vs King | 18–30 | 37.50% |
| GiwrgosAMG vs Law | 17–25 | 40.48% |
| GiwrgosAMG vs Steve | 19–14 | 57.58% |
| GiwrgosAMG vs Hwoarang | 14–18 | 43.75% |
| GiwrgosAMG vs Armor King | 10–18 | 35.71% |
| GiwrgosAMG vs Fahkumram | 13–14 | 48.15% |
| GiwrgosAMG vs Heihachi | 12–14 | 46.15% |
| GiwrgosAMG vs Lee | 12–10 | 54.55% |
| GiwrgosAMG vs Dragunov | 10–11 | 47.62% |
| GiwrgosAMG vs Yoshimitsu | 11–9 | 55.00% |
| GiwrgosAMG vs Reina | 8–12 | 40.00% |
| GiwrgosAMG vs Alisa | 11–8 | 57.89% |
| GiwrgosAMG vs Leroy | 10–8 | 55.56% |
| GiwrgosAMG vs Eddy | 5–12 | 29.41% |
| GiwrgosAMG vs Xiaoyu | 13–3 | 81.25% |
| GiwrgosAMG vs Bryan | 2–14 | 12.50% |
| GiwrgosAMG vs Lili | 8–8 | 50.00% |
| GiwrgosAMG vs Nina | 4–12 | 25.00% |
| GiwrgosAMG vs Azucena | 11–5 | 68.75% |
| GiwrgosAMG vs Asuka | 8–7 | 53.33% |
| GiwrgosAMG vs Devil Jin | 7–7 | 50.00% |
| GiwrgosAMG vs Paul | 8–5 | 61.54% |
| GiwrgosAMG vs Jack-8 | 4–9 | 30.77% |
| GiwrgosAMG vs Anna | 7–5 | 58.33% |
| GiwrgosAMG vs Zafina | 6–4 | 60.00% |
| GiwrgosAMG vs Lars | 3–6 | 33.33% |
| GiwrgosAMG vs Feng | 3–5 | 37.50% |
| GiwrgosAMG vs Clive | 4–4 | 50.00% |
| GiwrgosAMG vs Jun | 4–3 | 57.14% |
| GiwrgosAMG vs Claudio | 5–1 | 83.33% |
| GiwrgosAMG vs Kuma | 5–1 | 83.33% |
| GiwrgosAMG vs Victor | 2–4 | 33.33% |
| GiwrgosAMG vs Leo | 2–3 | 40.00% |
| GiwrgosAMG vs Shaheen | 0–5 | 0.00% |
| GiwrgosAMG vs Panda | 2–3 | 40.00% |
| GiwrgosAMG vs Raven | 2–3 | 40.00% |
| GiwrgosAMG vs Miary Zo | 2–1 | 66.67% |
| GiwrgosAMG 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.