| GNRLChief vs Kazuya | 211–161 | 56.72% |
| GNRLChief vs Bryan | 163–146 | 52.75% |
| GNRLChief vs Jin | 148–137 | 51.93% |
| GNRLChief vs Heihachi | 140–129 | 52.04% |
| GNRLChief vs King | 121–110 | 52.38% |
| GNRLChief vs Hwoarang | 114–95 | 54.55% |
| GNRLChief vs Law | 108–96 | 52.94% |
| GNRLChief vs Paul | 93–108 | 46.27% |
| GNRLChief vs Reina | 117–81 | 59.09% |
| GNRLChief vs Steve | 81–88 | 47.93% |
| GNRLChief vs Dragunov | 89–68 | 56.69% |
| GNRLChief vs Devil Jin | 65–74 | 46.76% |
| GNRLChief vs Lars | 79–58–1 | 57.66% |
| GNRLChief vs Yoshimitsu | 89–45 | 66.42% |
| GNRLChief vs Lili | 60–67 | 47.24% |
| GNRLChief vs Clive | 63–64 | 49.61% |
| GNRLChief vs Jun | 64–57 | 52.89% |
| GNRLChief vs Xiaoyu | 54–65 | 45.38% |
| GNRLChief vs Eddy | 65–50 | 56.52% |
| GNRLChief vs Asuka | 54–51 | 51.43% |
| GNRLChief vs Victor | 50–52 | 49.02% |
| GNRLChief vs Armor King | 52–48 | 52.00% |
| GNRLChief vs Nina | 38–60 | 38.78% |
| GNRLChief vs Lidia | 45–48 | 48.39% |
| GNRLChief vs Azucena | 50–41 | 54.95% |
| GNRLChief vs Feng | 40–49 | 44.94% |
| GNRLChief vs Lee | 36–53 | 40.45% |
| GNRLChief vs Leo | 22–49 | 30.99% |
| GNRLChief vs Alisa | 31–40 | 43.66% |
| GNRLChief vs Raven | 30–34 | 46.88% |
| GNRLChief vs Anna | 35–29 | 54.69% |
| GNRLChief vs Claudio | 22–40 | 35.48% |
| GNRLChief vs Jack-8 | 33–27 | 55.00% |
| GNRLChief vs Shaheen | 24–34 | 41.38% |
| GNRLChief vs Fahkumram | 22–35 | 38.60% |
| GNRLChief vs Leroy | 22–26 | 45.83% |
| GNRLChief vs Zafina | 11–29 | 27.50% |
| GNRLChief vs Kuma | 14–15 | 48.28% |
| GNRLChief vs Panda | 10–18 | 35.71% |
| GNRLChief vs Miary Zo | 3–5 | 37.50% |
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.