| yama vs King | 85–64 | 57.05% |
| yama vs Paul | 71–70 | 50.35% |
| yama vs Asuka | 67–63 | 51.54% |
| yama vs Bryan | 74–53 | 58.27% |
| yama vs Heihachi | 74–51 | 59.20% |
| yama vs Hwoarang | 77–44 | 63.64% |
| yama vs Dragunov | 60–57 | 51.28% |
| yama vs Steve | 64–40 | 61.54% |
| yama vs Kazuya | 58–42 | 58.00% |
| yama vs Reina | 42–53 | 44.21% |
| yama vs Jin | 54–38 | 58.70% |
| yama vs Leroy | 42–49 | 46.15% |
| yama vs Anna | 49–41 | 54.44% |
| yama vs Lars | 44–43 | 50.57% |
| yama vs Lili | 40–38 | 51.28% |
| yama vs Jun | 32–42 | 43.24% |
| yama vs Victor | 34–39 | 46.58% |
| yama vs Devil Jin | 29–43 | 40.28% |
| yama vs Zafina | 33–38 | 46.48% |
| yama vs Xiaoyu | 33–36 | 47.83% |
| yama vs Jack-8 | 36–32 | 52.94% |
| yama vs Clive | 25–37 | 40.32% |
| yama vs Yoshimitsu | 31–30 | 50.82% |
| yama vs Law | 37–22 | 62.71% |
| yama vs Leo | 23–35 | 39.66% |
| yama vs Lidia | 25–29 | 46.30% |
| yama vs Alisa | 23–29 | 44.23% |
| yama vs Lee | 27–25 | 51.92% |
| yama vs Claudio | 17–32 | 34.69% |
| yama vs Raven | 25–14 | 64.10% |
| yama vs Feng | 18–20 | 47.37% |
| yama vs Nina | 22–15 | 59.46% |
| yama vs Eddy | 18–17 | 51.43% |
| yama vs Azucena | 15–17 | 46.88% |
| yama vs Panda | 12–14 | 46.15% |
| yama vs Fahkumram | 17–9 | 65.38% |
| yama vs Kuma | 9–8 | 52.94% |
| yama vs Shaheen | 10–3 | 76.92% |
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.