| gogolame vs Kazuya | 536–420 | 56.07% |
| gogolame vs Bryan | 379–342 | 52.57% |
| gogolame vs Jin | 373–343 | 52.09% |
| gogolame vs Heihachi | 327–293 | 52.74% |
| gogolame vs King | 300–250 | 54.55% |
| gogolame vs Reina | 259–265 | 49.43% |
| gogolame vs Dragunov | 274–230 | 54.37% |
| gogolame vs Hwoarang | 269–213 | 55.81% |
| gogolame vs Steve | 242–240 | 50.21% |
| gogolame vs Paul | 216–200 | 51.92% |
| gogolame vs Devil Jin | 196–196 | 50.00% |
| gogolame vs Lee | 177–179 | 49.72% |
| gogolame vs Yoshimitsu | 192–161 | 54.39% |
| gogolame vs Law | 196–145 | 57.48% |
| gogolame vs Feng | 149–130 | 53.41% |
| gogolame vs Lili | 169–107 | 61.23% |
| gogolame vs Clive | 125–144 | 46.47% |
| gogolame vs Asuka | 133–123 | 51.95% |
| gogolame vs Lars | 132–124 | 51.56% |
| gogolame vs Jun | 154–89 | 63.37% |
| gogolame vs Armor King | 134–96 | 58.26% |
| gogolame vs Xiaoyu | 126–89 | 58.60% |
| gogolame vs Victor | 111–102 | 52.11% |
| gogolame vs Eddy | 127–79 | 61.65% |
| gogolame vs Nina | 102–99 | 50.75% |
| gogolame vs Jack-8 | 119–80 | 59.80% |
| gogolame vs Azucena | 104–95 | 52.26% |
| gogolame vs Claudio | 95–93 | 50.53% |
| gogolame vs Leo | 85–87 | 49.42% |
| gogolame vs Leroy | 79–81 | 49.38% |
| gogolame vs Alisa | 95–56 | 62.91% |
| gogolame vs Anna | 61–76 | 44.53% |
| gogolame vs Fahkumram | 65–72 | 47.45% |
| gogolame vs Zafina | 71–64 | 52.59% |
| gogolame vs Raven | 65–68 | 48.87% |
| gogolame vs Kuma | 56–56 | 50.00% |
| gogolame vs Lidia | 43–67 | 39.09% |
| gogolame vs Shaheen | 38–53 | 41.76% |
| gogolame vs Miary Zo | 36–48 | 42.86% |
| gogolame vs Panda | 21–17 | 55.26% |
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.