| goiflin vs Bryan | 131–87 | 60.09% |
| goiflin vs Kazuya | 125–93 | 57.34% |
| goiflin vs King | 102–77 | 56.98% |
| goiflin vs Jin | 96–83 | 53.63% |
| goiflin vs Reina | 110–65 | 62.86% |
| goiflin vs Steve | 88–43 | 67.18% |
| goiflin vs Paul | 80–44 | 64.52% |
| goiflin vs Heihachi | 64–60 | 51.61% |
| goiflin vs Lee | 81–42 | 65.85% |
| goiflin vs Yoshimitsu | 73–44 | 62.39% |
| goiflin vs Xiaoyu | 66–42 | 61.11% |
| goiflin vs Azucena | 61–45 | 57.55% |
| goiflin vs Dragunov | 53–52 | 50.48% |
| goiflin vs Lili | 52–47 | 52.53% |
| goiflin vs Hwoarang | 55–42 | 56.70% |
| goiflin vs Asuka | 63–27 | 70.00% |
| goiflin vs Law | 50–39 | 56.18% |
| goiflin vs Victor | 41–47 | 46.59% |
| goiflin vs Feng | 40–44 | 47.62% |
| goiflin vs Devil Jin | 37–40 | 48.05% |
| goiflin vs Lars | 42–34 | 55.26% |
| goiflin vs Armor King | 45–21 | 68.18% |
| goiflin vs Nina | 34–30 | 53.12% |
| goiflin vs Fahkumram | 33–26 | 55.93% |
| goiflin vs Jun | 36–22 | 62.07% |
| goiflin vs Raven | 33–25 | 56.90% |
| goiflin vs Clive | 33–24 | 57.89% |
| goiflin vs Leo | 26–30 | 46.43% |
| goiflin vs Lidia | 26–27 | 49.06% |
| goiflin vs Kuma | 21–25 | 45.65% |
| goiflin vs Alisa | 26–19 | 57.78% |
| goiflin vs Eddy | 23–21 | 52.27% |
| goiflin vs Jack-8 | 18–25 | 41.86% |
| goiflin vs Claudio | 23–19 | 54.76% |
| goiflin vs Shaheen | 24–15 | 61.54% |
| goiflin vs Zafina | 14–20 | 41.18% |
| goiflin vs Anna | 15–11 | 57.69% |
| goiflin vs Leroy | 16–7 | 69.57% |
| goiflin vs Miary Zo | 11–8 | 57.89% |
| goiflin vs Panda | 10–8 | 55.56% |
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.