| TheFogn vs Kazuya | 197–172 | 53.39% |
| TheFogn vs Dragunov | 194–164 | 54.19% |
| TheFogn vs Hwoarang | 213–132 | 61.74% |
| TheFogn vs Bryan | 166–152 | 52.20% |
| TheFogn vs Paul | 167–118 | 58.60% |
| TheFogn vs Jin | 139–119 | 53.88% |
| TheFogn vs Steve | 160–97 | 62.26% |
| TheFogn vs Reina | 111–127 | 46.64% |
| TheFogn vs King | 98–90 | 52.13% |
| TheFogn vs Victor | 89–91 | 49.44% |
| TheFogn vs Law | 93–80 | 53.76% |
| TheFogn vs Lili | 97–69 | 58.43% |
| TheFogn vs Heihachi | 87–72 | 54.72% |
| TheFogn vs Yoshimitsu | 75–82 | 47.77% |
| TheFogn vs Azucena | 76–78 | 49.35% |
| TheFogn vs Armor King | 65–89 | 42.21% |
| TheFogn vs Lars | 79–73 | 51.97% |
| TheFogn vs Lee | 72–79 | 47.68% |
| TheFogn vs Jack-8 | 73–71–1 | 50.69% |
| TheFogn vs Devil Jin | 71–72 | 49.65% |
| TheFogn vs Asuka | 71–65 | 52.21% |
| TheFogn vs Nina | 75–60 | 55.56% |
| TheFogn vs Lidia | 64–66 | 49.23% |
| TheFogn vs Jun | 63–62 | 50.40% |
| TheFogn vs Leo | 70–47 | 59.83% |
| TheFogn vs Feng | 50–59 | 45.87% |
| TheFogn vs Claudio | 58–50 | 53.70% |
| TheFogn vs Xiaoyu | 50–48 | 51.02% |
| TheFogn vs Leroy | 49–47 | 51.04% |
| TheFogn vs Alisa | 40–43 | 48.19% |
| TheFogn vs Raven | 36–43 | 45.57% |
| TheFogn vs Fahkumram | 37–38 | 49.33% |
| TheFogn vs Clive | 43–29 | 59.72% |
| TheFogn vs Anna | 30–30 | 50.00% |
| TheFogn vs Kuma | 28–31 | 47.46% |
| TheFogn vs Shaheen | 13–35 | 27.08% |
| TheFogn vs Zafina | 19–20 | 48.72% |
| TheFogn vs Eddy | 12–26 | 31.58% |
| TheFogn vs Panda | 16–15 | 51.61% |
| TheFogn vs Miary Zo | 3–6 | 33.33% |
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.