| yamauchi3000 vs Kazuya | 18–17 | 51.43% |
| yamauchi3000 vs Miary Zo | 18–16 | 52.94% |
| yamauchi3000 vs King | 18–6 | 75.00% |
| yamauchi3000 vs Claudio | 15–9 | 62.50% |
| yamauchi3000 vs Dragunov | 19–3 | 86.36% |
| yamauchi3000 vs Armor King | 15–7 | 68.18% |
| yamauchi3000 vs Lidia | 13–8 | 61.90% |
| yamauchi3000 vs Jun | 14–4 | 77.78% |
| yamauchi3000 vs Jin | 13–4 | 76.47% |
| yamauchi3000 vs Bryan | 11–6 | 64.71% |
| yamauchi3000 vs Hwoarang | 10–5 | 66.67% |
| yamauchi3000 vs Asuka | 10–5 | 66.67% |
| yamauchi3000 vs Heihachi | 11–4 | 73.33% |
| yamauchi3000 vs Feng | 8–6 | 57.14% |
| yamauchi3000 vs Reina | 4–10 | 28.57% |
| yamauchi3000 vs Alisa | 9–3 | 75.00% |
| yamauchi3000 vs Nina | 10–2 | 83.33% |
| yamauchi3000 vs Azucena | 8–4 | 66.67% |
| yamauchi3000 vs Victor | 5–7 | 41.67% |
| yamauchi3000 vs Law | 6–5 | 54.55% |
| yamauchi3000 vs Lee | 7–2 | 77.78% |
| yamauchi3000 vs Paul | 5–3 | 62.50% |
| yamauchi3000 vs Yoshimitsu | 4–4 | 50.00% |
| yamauchi3000 vs Xiaoyu | 5–2 | 71.43% |
| yamauchi3000 vs Lili | 6–1 | 85.71% |
| yamauchi3000 vs Steve | 5–1 | 83.33% |
| yamauchi3000 vs Kuma | 3–2 | 60.00% |
| yamauchi3000 vs Leroy | 3–2 | 60.00% |
| yamauchi3000 vs Raven | 4–1 | 80.00% |
| yamauchi3000 vs Jack-8 | 3–1 | 75.00% |
| yamauchi3000 vs Lars | 1–3 | 25.00% |
| yamauchi3000 vs Shaheen | 3–1 | 75.00% |
| yamauchi3000 vs Devil Jin | 3–0 | 100.00% |
| yamauchi3000 vs Leo | 2–1 | 66.67% |
| yamauchi3000 vs Clive | 1–2 | 33.33% |
| yamauchi3000 vs Anna | 1–2 | 33.33% |
| yamauchi3000 vs Panda | 2–0 | 100.00% |
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.