| G3ngarGOTH27 vs King | 7–25 | 21.88% |
| G3ngarGOTH27 vs Reina | 18–12 | 60.00% |
| G3ngarGOTH27 vs Hwoarang | 10–17 | 37.04% |
| G3ngarGOTH27 vs Kazuya | 10–14 | 41.67% |
| G3ngarGOTH27 vs Steve | 15–9 | 62.50% |
| G3ngarGOTH27 vs Eddy | 7–16 | 30.43% |
| G3ngarGOTH27 vs Jin | 6–16 | 27.27% |
| G3ngarGOTH27 vs Lili | 6–15 | 28.57% |
| G3ngarGOTH27 vs Bryan | 7–8 | 46.67% |
| G3ngarGOTH27 vs Dragunov | 8–6 | 57.14% |
| G3ngarGOTH27 vs Victor | 7–7 | 50.00% |
| G3ngarGOTH27 vs Leo | 9–2 | 81.82% |
| G3ngarGOTH27 vs Lidia | 0–11 | 0.00% |
| G3ngarGOTH27 vs Yoshimitsu | 5–4 | 55.56% |
| G3ngarGOTH27 vs Lars | 3–6 | 33.33% |
| G3ngarGOTH27 vs Jack-8 | 1–7 | 12.50% |
| G3ngarGOTH27 vs Jun | 5–3 | 62.50% |
| G3ngarGOTH27 vs Heihachi | 4–4 | 50.00% |
| G3ngarGOTH27 vs Paul | 2–5 | 28.57% |
| G3ngarGOTH27 vs Law | 3–4 | 42.86% |
| G3ngarGOTH27 vs Devil Jin | 3–4 | 42.86% |
| G3ngarGOTH27 vs Lee | 3–4 | 42.86% |
| G3ngarGOTH27 vs Azucena | 0–7 | 0.00% |
| G3ngarGOTH27 vs Raven | 2–4 | 33.33% |
| G3ngarGOTH27 vs Asuka | 3–2 | 60.00% |
| G3ngarGOTH27 vs Alisa | 1–4 | 20.00% |
| G3ngarGOTH27 vs Nina | 0–4 | 0.00% |
| G3ngarGOTH27 vs Clive | 2–2 | 50.00% |
| G3ngarGOTH27 vs Xiaoyu | 0–3 | 0.00% |
| G3ngarGOTH27 vs Shaheen | 0–2 | 0.00% |
| G3ngarGOTH27 vs Kuma | 2–0 | 100.00% |
| G3ngarGOTH27 vs Claudio | 1–0 | 100.00% |
| G3ngarGOTH27 vs Leroy | 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.