| googoogaga vs Kazuya | 71–79 | 47.33% |
| googoogaga vs King | 52–75 | 40.94% |
| googoogaga vs Bryan | 39–57 | 40.62% |
| googoogaga vs Reina | 42–52 | 44.68% |
| googoogaga vs Jin | 45–47 | 48.91% |
| googoogaga vs Hwoarang | 29–48 | 37.66% |
| googoogaga vs Steve | 33–43 | 43.42% |
| googoogaga vs Yoshimitsu | 28–35 | 44.44% |
| googoogaga vs Lee | 31–32 | 49.21% |
| googoogaga vs Dragunov | 22–40 | 35.48% |
| googoogaga vs Lili | 22–39 | 36.07% |
| googoogaga vs Eddy | 30–29 | 50.85% |
| googoogaga vs Law | 23–35 | 39.66% |
| googoogaga vs Xiaoyu | 29–25 | 53.70% |
| googoogaga vs Paul | 21–32 | 39.62% |
| googoogaga vs Asuka | 26–24 | 52.00% |
| googoogaga vs Azucena | 27–22 | 55.10% |
| googoogaga vs Victor | 23–25 | 47.92% |
| googoogaga vs Jun | 21–25 | 45.65% |
| googoogaga vs Lars | 16–27 | 37.21% |
| googoogaga vs Nina | 18–20 | 47.37% |
| googoogaga vs Heihachi | 19–18 | 51.35% |
| googoogaga vs Feng | 16–20 | 44.44% |
| googoogaga vs Alisa | 13–21 | 38.24% |
| googoogaga vs Leo | 16–16 | 50.00% |
| googoogaga vs Leroy | 16–16 | 50.00% |
| googoogaga vs Kuma | 14–17 | 45.16% |
| googoogaga vs Raven | 14–14 | 50.00% |
| googoogaga vs Zafina | 11–14 | 44.00% |
| googoogaga vs Jack-8 | 9–13 | 40.91% |
| googoogaga vs Devil Jin | 14–8 | 63.64% |
| googoogaga vs Claudio | 7–14 | 33.33% |
| googoogaga vs Fahkumram | 11–9 | 55.00% |
| googoogaga vs Shaheen | 8–11 | 42.11% |
| googoogaga vs Clive | 10–9 | 52.63% |
| googoogaga vs Anna | 6–13 | 31.58% |
| googoogaga vs Lidia | 6–7 | 46.15% |
| googoogaga vs Panda | 3–3 | 50.00% |
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.