| GGiv3x vs Kazuya | 95–99 | 48.97% |
| GGiv3x vs Jin | 79–102 | 43.65% |
| GGiv3x vs Bryan | 88–89 | 49.72% |
| GGiv3x vs Hwoarang | 53–75 | 41.41% |
| GGiv3x vs Dragunov | 63–58 | 52.07% |
| GGiv3x vs King | 59–59 | 50.00% |
| GGiv3x vs Reina | 59–42 | 58.42% |
| GGiv3x vs Heihachi | 51–50 | 50.50% |
| GGiv3x vs Paul | 46–50 | 47.92% |
| GGiv3x vs Yoshimitsu | 47–46 | 50.54% |
| GGiv3x vs Law | 46–46 | 50.00% |
| GGiv3x vs Devil Jin | 36–47 | 43.37% |
| GGiv3x vs Steve | 37–44 | 45.68% |
| GGiv3x vs Lars | 28–35 | 44.44% |
| GGiv3x vs Lili | 32–30 | 51.61% |
| GGiv3x vs Nina | 27–35 | 43.55% |
| GGiv3x vs Jun | 28–31 | 47.46% |
| GGiv3x vs Lidia | 31–27 | 53.45% |
| GGiv3x vs Victor | 23–34 | 40.35% |
| GGiv3x vs Lee | 31–22 | 58.49% |
| GGiv3x vs Alisa | 28–24 | 53.85% |
| GGiv3x vs Clive | 26–25 | 50.98% |
| GGiv3x vs Azucena | 32–17 | 65.31% |
| GGiv3x vs Xiaoyu | 28–17 | 62.22% |
| GGiv3x vs Feng | 19–26 | 42.22% |
| GGiv3x vs Asuka | 20–20 | 50.00% |
| GGiv3x vs Leroy | 19–18 | 51.35% |
| GGiv3x vs Claudio | 15–20 | 42.86% |
| GGiv3x vs Leo | 18–15 | 54.55% |
| GGiv3x vs Raven | 18–12 | 60.00% |
| GGiv3x vs Jack-8 | 14–14 | 50.00% |
| GGiv3x vs Eddy | 13–8 | 61.90% |
| GGiv3x vs Kuma | 11–9 | 55.00% |
| GGiv3x vs Shaheen | 8–11 | 42.11% |
| GGiv3x vs Anna | 6–10 | 37.50% |
| GGiv3x vs Armor King | 9–7 | 56.25% |
| GGiv3x vs Zafina | 7–2 | 77.78% |
| GGiv3x vs Panda | 5–2 | 71.43% |
| GGiv3x vs Fahkumram | 2–4 | 33.33% |
| GGiv3x vs Miary Zo | 1–3 | 25.00% |
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.