| GAMIGAMI vs Armor King | 71–97 | 42.26% |
| GAMIGAMI vs King | 51–70 | 42.15% |
| GAMIGAMI vs Kazuya | 65–56 | 53.72% |
| GAMIGAMI vs Reina | 52–52 | 50.00% |
| GAMIGAMI vs Paul | 36–64 | 36.00% |
| GAMIGAMI vs Hwoarang | 37–60 | 38.14% |
| GAMIGAMI vs Bryan | 39–55 | 41.49% |
| GAMIGAMI vs Asuka | 37–48 | 43.53% |
| GAMIGAMI vs Jin | 37–42 | 46.84% |
| GAMIGAMI vs Steve | 26–46 | 36.11% |
| GAMIGAMI vs Heihachi | 40–31 | 56.34% |
| GAMIGAMI vs Dragunov | 24–45 | 34.78% |
| GAMIGAMI vs Fahkumram | 29–36 | 44.62% |
| GAMIGAMI vs Lili | 26–36 | 41.94% |
| GAMIGAMI vs Law | 23–34 | 40.35% |
| GAMIGAMI vs Devil Jin | 21–27 | 43.75% |
| GAMIGAMI vs Victor | 17–30 | 36.17% |
| GAMIGAMI vs Lidia | 17–29 | 36.96% |
| GAMIGAMI vs Anna | 15–31 | 32.61% |
| GAMIGAMI vs Miary Zo | 17–23 | 42.50% |
| GAMIGAMI vs Xiaoyu | 12–27 | 30.77% |
| GAMIGAMI vs Nina | 13–26 | 33.33% |
| GAMIGAMI vs Yoshimitsu | 23–14 | 62.16% |
| GAMIGAMI vs Jun | 14–21 | 40.00% |
| GAMIGAMI vs Eddy | 17–17 | 50.00% |
| GAMIGAMI vs Feng | 10–22 | 31.25% |
| GAMIGAMI vs Claudio | 9–23 | 28.12% |
| GAMIGAMI vs Azucena | 14–17 | 45.16% |
| GAMIGAMI vs Lars | 10–20 | 33.33% |
| GAMIGAMI vs Alisa | 11–19 | 36.67% |
| GAMIGAMI vs Shaheen | 7–20 | 25.93% |
| GAMIGAMI vs Clive | 8–19 | 29.63% |
| GAMIGAMI vs Leroy | 6–19 | 24.00% |
| GAMIGAMI vs Leo | 14–10 | 58.33% |
| GAMIGAMI vs Lee | 13–8 | 61.90% |
| GAMIGAMI vs Kuma | 7–14 | 33.33% |
| GAMIGAMI vs Panda | 5–10 | 33.33% |
| GAMIGAMI vs Jack-8 | 7–7 | 50.00% |
| GAMIGAMI vs Zafina | 3–11 | 21.43% |
| GAMIGAMI vs Raven | 5–9 | 35.71% |
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.