| TEKKEN9 vs Jin | 154–172 | 47.24% |
| TEKKEN9 vs Kazuya | 155–162 | 48.90% |
| TEKKEN9 vs Reina | 132–154 | 46.15% |
| TEKKEN9 vs King | 162–121–1 | 57.24% |
| TEKKEN9 vs Steve | 122–138 | 46.92% |
| TEKKEN9 vs Heihachi | 121–121 | 50.00% |
| TEKKEN9 vs Bryan | 119–119 | 50.00% |
| TEKKEN9 vs Law | 121–99 | 55.00% |
| TEKKEN9 vs Clive | 88–113 | 43.78% |
| TEKKEN9 vs Dragunov | 81–111 | 42.19% |
| TEKKEN9 vs Eddy | 69–123 | 35.94% |
| TEKKEN9 vs Hwoarang | 87–97 | 47.28% |
| TEKKEN9 vs Lee | 93–84 | 52.54% |
| TEKKEN9 vs Lili | 97–77 | 55.75% |
| TEKKEN9 vs Lidia | 61–104–1 | 36.97% |
| TEKKEN9 vs Jun | 80–83 | 49.08% |
| TEKKEN9 vs Paul | 73–89 | 45.06% |
| TEKKEN9 vs Azucena | 69–92 | 42.86% |
| TEKKEN9 vs Lars | 68–84 | 44.74% |
| TEKKEN9 vs Victor | 66–77 | 46.15% |
| TEKKEN9 vs Asuka | 53–68 | 43.80% |
| TEKKEN9 vs Yoshimitsu | 45–74 | 37.82% |
| TEKKEN9 vs Xiaoyu | 52–65 | 44.44% |
| TEKKEN9 vs Feng | 46–65 | 41.44% |
| TEKKEN9 vs Devil Jin | 49–53 | 48.04% |
| TEKKEN9 vs Leo | 39–45 | 46.43% |
| TEKKEN9 vs Nina | 36–44 | 45.00% |
| TEKKEN9 vs Raven | 34–44 | 43.59% |
| TEKKEN9 vs Claudio | 27–46 | 36.99% |
| TEKKEN9 vs Leroy | 31–39 | 44.29% |
| TEKKEN9 vs Jack-8 | 22–46 | 32.35% |
| TEKKEN9 vs Alisa | 23–34 | 40.35% |
| TEKKEN9 vs Kuma | 21–36 | 36.84% |
| TEKKEN9 vs Shaheen | 27–29 | 48.21% |
| TEKKEN9 vs Fahkumram | 20–22 | 47.62% |
| TEKKEN9 vs Zafina | 19–18 | 51.35% |
| TEKKEN9 vs Armor King | 16–10 | 61.54% |
| TEKKEN9 vs Panda | 5–11 | 31.25% |
| TEKKEN9 vs Anna | 9–4 | 69.23% |
| TEKKEN9 vs Miary Zo | 7–5 | 58.33% |
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.