| TEKKENFAN vs Armor King | 135–158 | 46.08% |
| TEKKENFAN vs King | 167–124 | 57.39% |
| TEKKENFAN vs Kazuya | 134–137 | 49.45% |
| TEKKENFAN vs Jin | 125–97 | 56.31% |
| TEKKENFAN vs Reina | 98–101 | 49.25% |
| TEKKENFAN vs Steve | 110–83 | 56.99% |
| TEKKENFAN vs Clive | 108–85 | 55.96% |
| TEKKENFAN vs Law | 100–89 | 52.91% |
| TEKKENFAN vs Heihachi | 86–81 | 51.50% |
| TEKKENFAN vs Bryan | 81–82 | 49.69% |
| TEKKENFAN vs Hwoarang | 86–71 | 54.78% |
| TEKKENFAN vs Jun | 86–71 | 54.78% |
| TEKKENFAN vs Dragunov | 63–60 | 51.22% |
| TEKKENFAN vs Asuka | 58–56 | 50.88% |
| TEKKENFAN vs Lili | 48–65 | 42.48% |
| TEKKENFAN vs Azucena | 62–48 | 56.36% |
| TEKKENFAN vs Lars | 52–56 | 48.15% |
| TEKKENFAN vs Victor | 43–63 | 40.57% |
| TEKKENFAN vs Xiaoyu | 52–47 | 52.53% |
| TEKKENFAN vs Paul | 42–50 | 45.65% |
| TEKKENFAN vs Devil Jin | 41–50 | 45.05% |
| TEKKENFAN vs Yoshimitsu | 45–44 | 50.56% |
| TEKKENFAN vs Eddy | 42–46 | 47.73% |
| TEKKENFAN vs Miary Zo | 46–41 | 52.87% |
| TEKKENFAN vs Lee | 42–42 | 50.00% |
| TEKKENFAN vs Fahkumram | 42–42 | 50.00% |
| TEKKENFAN vs Leo | 37–45 | 45.12% |
| TEKKENFAN vs Nina | 44–32 | 57.89% |
| TEKKENFAN vs Feng | 33–40 | 45.21% |
| TEKKENFAN vs Lidia | 36–37 | 49.32% |
| TEKKENFAN vs Jack-8 | 35–31 | 53.03% |
| TEKKENFAN vs Alisa | 33–25 | 56.90% |
| TEKKENFAN vs Leroy | 24–29 | 45.28% |
| TEKKENFAN vs Raven | 33–19 | 63.46% |
| TEKKENFAN vs Claudio | 30–21 | 58.82% |
| TEKKENFAN vs Zafina | 27–19 | 58.70% |
| TEKKENFAN vs Anna | 19–23 | 45.24% |
| TEKKENFAN vs Shaheen | 21–17 | 55.26% |
| TEKKENFAN vs Kuma | 12–21 | 36.36% |
| TEKKENFAN vs Panda | 7–7 | 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.