| ST4R-BOY vs Jin | 19–32 | 37.25% |
| ST4R-BOY vs King | 12–20 | 37.50% |
| ST4R-BOY vs Steve | 21–8 | 72.41% |
| ST4R-BOY vs Law | 10–18 | 35.71% |
| ST4R-BOY vs Armor King | 9–16 | 36.00% |
| ST4R-BOY vs Eddy | 10–14 | 41.67% |
| ST4R-BOY vs Hwoarang | 8–15 | 34.78% |
| ST4R-BOY vs Lili | 17–6 | 73.91% |
| ST4R-BOY vs Kazuya | 6–15 | 28.57% |
| ST4R-BOY vs Yoshimitsu | 10–7 | 58.82% |
| ST4R-BOY vs Miary Zo | 7–10 | 41.18% |
| ST4R-BOY vs Paul | 6–10 | 37.50% |
| ST4R-BOY vs Dragunov | 7–9 | 43.75% |
| ST4R-BOY vs Lars | 8–7 | 53.33% |
| ST4R-BOY vs Alisa | 8–7 | 53.33% |
| ST4R-BOY vs Reina | 6–7 | 46.15% |
| ST4R-BOY vs Heihachi | 3–9 | 25.00% |
| ST4R-BOY vs Nina | 5–6 | 45.45% |
| ST4R-BOY vs Lee | 6–5 | 54.55% |
| ST4R-BOY vs Fahkumram | 6–4 | 60.00% |
| ST4R-BOY vs Bryan | 3–6 | 33.33% |
| ST4R-BOY vs Devil Jin | 5–4 | 55.56% |
| ST4R-BOY vs Feng | 6–3 | 66.67% |
| ST4R-BOY vs Victor | 4–5 | 44.44% |
| ST4R-BOY vs Lidia | 6–3 | 66.67% |
| ST4R-BOY vs Asuka | 4–3 | 57.14% |
| ST4R-BOY vs Jun | 1–6 | 14.29% |
| ST4R-BOY vs Clive | 3–4 | 42.86% |
| ST4R-BOY vs Anna | 4–3 | 57.14% |
| ST4R-BOY vs Claudio | 3–3 | 50.00% |
| ST4R-BOY vs Xiaoyu | 2–2 | 50.00% |
| ST4R-BOY vs Jack-8 | 1–3 | 25.00% |
| ST4R-BOY vs Azucena | 3–0 | 100.00% |
| ST4R-BOY vs Leo | 1–1 | 50.00% |
| ST4R-BOY vs Zafina | 2–0 | 100.00% |
| ST4R-BOY vs Raven | 0–1 | 0.00% |
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.