| GAGAH HAH vs Jin | 153–152 | 50.16% |
| GAGAH HAH vs Kazuya | 133–90 | 59.64% |
| GAGAH HAH vs King | 114–101 | 53.02% |
| GAGAH HAH vs Hwoarang | 99–107 | 48.06% |
| GAGAH HAH vs Dragunov | 95–108 | 46.80% |
| GAGAH HAH vs Reina | 112–89 | 55.72% |
| GAGAH HAH vs Lili | 96–95 | 50.26% |
| GAGAH HAH vs Victor | 101–89 | 53.16% |
| GAGAH HAH vs Bryan | 74–92 | 44.58% |
| GAGAH HAH vs Paul | 68–84 | 44.74% |
| GAGAH HAH vs Law | 76–76 | 50.00% |
| GAGAH HAH vs Steve | 70–78 | 47.30% |
| GAGAH HAH vs Lars | 65–70 | 48.15% |
| GAGAH HAH vs Asuka | 57–75 | 43.18% |
| GAGAH HAH vs Yoshimitsu | 59–71 | 45.38% |
| GAGAH HAH vs Lee | 48–69 | 41.03% |
| GAGAH HAH vs Devil Jin | 67–47 | 58.77% |
| GAGAH HAH vs Xiaoyu | 65–48 | 57.52% |
| GAGAH HAH vs Nina | 39–63 | 38.24% |
| GAGAH HAH vs Eddy | 41–57 | 41.84% |
| GAGAH HAH vs Feng | 44–50 | 46.81% |
| GAGAH HAH vs Jun | 41–48 | 46.07% |
| GAGAH HAH vs Azucena | 49–33 | 59.76% |
| GAGAH HAH vs Leo | 34–45 | 43.04% |
| GAGAH HAH vs Jack-8 | 41–35 | 53.95% |
| GAGAH HAH vs Claudio | 27–45 | 37.50% |
| GAGAH HAH vs Alisa | 27–43 | 38.57% |
| GAGAH HAH vs Heihachi | 27–33 | 45.00% |
| GAGAH HAH vs Shaheen | 29–28 | 50.88% |
| GAGAH HAH vs Leroy | 20–32 | 38.46% |
| GAGAH HAH vs Zafina | 15–31 | 32.61% |
| GAGAH HAH vs Kuma | 16–25 | 39.02% |
| GAGAH HAH vs Lidia | 13–21 | 38.24% |
| GAGAH HAH vs Clive | 13–13 | 50.00% |
| GAGAH HAH vs Fahkumram | 8–17 | 32.00% |
| GAGAH HAH vs Raven | 11–12 | 47.83% |
| GAGAH HAH vs Anna | 5–18 | 21.74% |
| GAGAH HAH vs Panda | 8–11 | 42.11% |
| GAGAH HAH vs Armor King | 6–5 | 54.55% |
| GAGAH HAH vs Miary Zo | 0–9 | 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.