| Yaboi vs Kazuya | 25–31 | 44.64% |
| Yaboi vs Jin | 30–22 | 57.69% |
| Yaboi vs Bryan | 21–26 | 44.68% |
| Yaboi vs King | 25–18 | 58.14% |
| Yaboi vs Azucena | 25–18 | 58.14% |
| Yaboi vs Steve | 16–25 | 39.02% |
| Yaboi vs Paul | 13–19 | 40.62% |
| Yaboi vs Law | 14–17 | 45.16% |
| Yaboi vs Yoshimitsu | 9–20 | 31.03% |
| Yaboi vs Dragunov | 11–17 | 39.29% |
| Yaboi vs Heihachi | 12–14 | 46.15% |
| Yaboi vs Nina | 10–13 | 43.48% |
| Yaboi vs Reina | 10–13 | 43.48% |
| Yaboi vs Anna | 12–11 | 52.17% |
| Yaboi vs Asuka | 16–6 | 72.73% |
| Yaboi vs Lars | 9–13 | 40.91% |
| Yaboi vs Hwoarang | 12–9 | 57.14% |
| Yaboi vs Lee | 14–6 | 70.00% |
| Yaboi vs Eddy | 11–9 | 55.00% |
| Yaboi vs Lili | 7–12 | 36.84% |
| Yaboi vs Devil Jin | 8–7 | 53.33% |
| Yaboi vs Jun | 7–7 | 50.00% |
| Yaboi vs Clive | 8–5 | 61.54% |
| Yaboi vs Zafina | 6–6 | 50.00% |
| Yaboi vs Fahkumram | 6–6 | 50.00% |
| Yaboi vs Leo | 1–10 | 9.09% |
| Yaboi vs Raven | 4–7 | 36.36% |
| Yaboi vs Victor | 6–4 | 60.00% |
| Yaboi vs Jack-8 | 5–4 | 55.56% |
| Yaboi vs Kuma | 1–8 | 11.11% |
| Yaboi vs Xiaoyu | 5–3 | 62.50% |
| Yaboi vs Claudio | 6–2 | 75.00% |
| Yaboi vs Panda | 3–5 | 37.50% |
| Yaboi vs Feng | 3–4 | 42.86% |
| Yaboi vs Shaheen | 4–2 | 66.67% |
| Yaboi vs Alisa | 3–2 | 60.00% |
| Yaboi vs Leroy | 2–2 | 50.00% |
| Yaboi vs Lidia | 1–2 | 33.33% |
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.