| Y.takashi vs Reina | 155–100 | 60.78% |
| Y.takashi vs Jin | 79–88 | 47.31% |
| Y.takashi vs Paul | 66–85 | 43.71% |
| Y.takashi vs King | 64–84 | 43.24% |
| Y.takashi vs Kazuya | 73–74–1 | 49.66% |
| Y.takashi vs Dragunov | 49–96 | 33.79% |
| Y.takashi vs Hwoarang | 58–67 | 46.40% |
| Y.takashi vs Bryan | 50–58–1 | 46.30% |
| Y.takashi vs Steve | 48–59 | 44.86% |
| Y.takashi vs Heihachi | 61–45 | 57.55% |
| Y.takashi vs Victor | 29–65 | 30.85% |
| Y.takashi vs Yoshimitsu | 31–62 | 33.33% |
| Y.takashi vs Lili | 38–48 | 44.19% |
| Y.takashi vs Asuka | 44–41 | 51.76% |
| Y.takashi vs Jun | 44–37 | 54.32% |
| Y.takashi vs Azucena | 39–39 | 50.00% |
| Y.takashi vs Clive | 28–48 | 36.84% |
| Y.takashi vs Lidia | 28–45 | 38.36% |
| Y.takashi vs Law | 25–40 | 38.46% |
| Y.takashi vs Devil Jin | 32–29 | 52.46% |
| Y.takashi vs Eddy | 17–41 | 29.31% |
| Y.takashi vs Leroy | 23–32 | 41.82% |
| Y.takashi vs Leo | 14–38 | 26.92% |
| Y.takashi vs Lars | 14–38 | 26.92% |
| Y.takashi vs Xiaoyu | 22–29 | 43.14% |
| Y.takashi vs Alisa | 24–27 | 47.06% |
| Y.takashi vs Nina | 16–35 | 31.37% |
| Y.takashi vs Armor King | 14–36 | 28.00% |
| Y.takashi vs Feng | 20–29 | 40.82% |
| Y.takashi vs Anna | 28–21 | 57.14% |
| Y.takashi vs Claudio | 19–23 | 45.24% |
| Y.takashi vs Jack-8 | 12–27 | 30.77% |
| Y.takashi vs Raven | 13–24 | 35.14% |
| Y.takashi vs Fahkumram | 19–14 | 57.58% |
| Y.takashi vs Kuma | 9–17 | 34.62% |
| Y.takashi vs Miary Zo | 13–13 | 50.00% |
| Y.takashi vs Lee | 9–15 | 37.50% |
| Y.takashi vs Shaheen | 9–14 | 39.13% |
| Y.takashi vs Panda | 6–13 | 31.58% |
| Y.takashi vs Zafina | 3–10 | 23.08% |
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.