| YamaCHAN vs Kazuya | 65–80 | 44.83% |
| YamaCHAN vs Jin | 58–85 | 40.56% |
| YamaCHAN vs Reina | 59–55 | 51.75% |
| YamaCHAN vs King | 36–62 | 36.73% |
| YamaCHAN vs Steve | 32–55 | 36.78% |
| YamaCHAN vs Dragunov | 31–55 | 36.05% |
| YamaCHAN vs Victor | 24–29 | 45.28% |
| YamaCHAN vs Law | 14–33 | 29.79% |
| YamaCHAN vs Asuka | 16–26 | 38.10% |
| YamaCHAN vs Bryan | 15–26 | 36.59% |
| YamaCHAN vs Devil Jin | 13–27 | 32.50% |
| YamaCHAN vs Hwoarang | 12–26 | 31.58% |
| YamaCHAN vs Lili | 14–20 | 41.18% |
| YamaCHAN vs Alisa | 13–21 | 38.24% |
| YamaCHAN vs Fahkumram | 14–20 | 41.18% |
| YamaCHAN vs Lars | 11–21 | 34.38% |
| YamaCHAN vs Xiaoyu | 14–16 | 46.67% |
| YamaCHAN vs Lidia | 8–22 | 26.67% |
| YamaCHAN vs Lee | 5–24 | 17.24% |
| YamaCHAN vs Yoshimitsu | 12–16 | 42.86% |
| YamaCHAN vs Jun | 13–14 | 48.15% |
| YamaCHAN vs Paul | 7–19 | 26.92% |
| YamaCHAN vs Leo | 8–16 | 33.33% |
| YamaCHAN vs Nina | 7–14 | 33.33% |
| YamaCHAN vs Azucena | 10–11 | 47.62% |
| YamaCHAN vs Claudio | 5–15 | 25.00% |
| YamaCHAN vs Kuma | 4–15 | 21.05% |
| YamaCHAN vs Eddy | 7–12 | 36.84% |
| YamaCHAN vs Armor King | 5–13 | 27.78% |
| YamaCHAN vs Feng | 4–13 | 23.53% |
| YamaCHAN vs Anna | 5–11 | 31.25% |
| YamaCHAN vs Heihachi | 6–9 | 40.00% |
| YamaCHAN vs Jack-8 | 4–10 | 28.57% |
| YamaCHAN vs Leroy | 7–7 | 50.00% |
| YamaCHAN vs Panda | 8–4 | 66.67% |
| YamaCHAN vs Raven | 4–6 | 40.00% |
| YamaCHAN vs Shaheen | 4–5 | 44.44% |
| YamaCHAN vs Miary Zo | 1–7 | 12.50% |
| YamaCHAN vs Clive | 4–3 | 57.14% |
| YamaCHAN vs Zafina | 1–1 | 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.