| gcfodylan vs Kazuya | 286–160 | 64.13% |
| gcfodylan vs Bryan | 218–149–1 | 59.40% |
| gcfodylan vs Heihachi | 172–148 | 53.75% |
| gcfodylan vs Jin | 176–127 | 58.09% |
| gcfodylan vs King | 155–122 | 55.96% |
| gcfodylan vs Hwoarang | 148–115 | 56.27% |
| gcfodylan vs Reina | 129–122 | 51.39% |
| gcfodylan vs Law | 146–86 | 62.93% |
| gcfodylan vs Steve | 137–94 | 59.31% |
| gcfodylan vs Lars | 115–106 | 52.04% |
| gcfodylan vs Yoshimitsu | 109–104 | 51.17% |
| gcfodylan vs Clive | 88–104 | 45.83% |
| gcfodylan vs Paul | 108–79 | 57.75% |
| gcfodylan vs Jun | 97–90 | 51.87% |
| gcfodylan vs Lili | 89–85 | 51.15% |
| gcfodylan vs Lee | 108–66 | 62.07% |
| gcfodylan vs Azucena | 106–54 | 66.25% |
| gcfodylan vs Devil Jin | 87–62 | 58.39% |
| gcfodylan vs Xiaoyu | 70–70 | 50.00% |
| gcfodylan vs Asuka | 88–52 | 62.86% |
| gcfodylan vs Dragunov | 73–63 | 53.68% |
| gcfodylan vs Nina | 81–55 | 59.56% |
| gcfodylan vs Armor King | 77–58 | 57.04% |
| gcfodylan vs Eddy | 71–62 | 53.38% |
| gcfodylan vs Feng | 71–54 | 56.80% |
| gcfodylan vs Leo | 48–60 | 44.44% |
| gcfodylan vs Victor | 44–60 | 42.31% |
| gcfodylan vs Claudio | 51–48 | 51.52% |
| gcfodylan vs Alisa | 48–46 | 51.06% |
| gcfodylan vs Lidia | 37–53 | 41.11% |
| gcfodylan vs Leroy | 52–32 | 61.90% |
| gcfodylan vs Raven | 43–40 | 51.81% |
| gcfodylan vs Jack-8 | 44–37 | 54.32% |
| gcfodylan vs Zafina | 36–30 | 54.55% |
| gcfodylan vs Kuma | 44–18 | 70.97% |
| gcfodylan vs Fahkumram | 31–31 | 50.00% |
| gcfodylan vs Shaheen | 28–27 | 50.91% |
| gcfodylan vs Anna | 31–18 | 63.27% |
| gcfodylan vs Miary Zo | 14–34 | 29.17% |
| gcfodylan vs Panda | 13–15 | 46.43% |
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.