| BigWalkDawg vs King | 10–11 | 47.62% |
| BigWalkDawg vs Kazuya | 10–5 | 66.67% |
| BigWalkDawg vs Xiaoyu | 8–4 | 66.67% |
| BigWalkDawg vs Lili | 8–4 | 66.67% |
| BigWalkDawg vs Hwoarang | 8–3 | 72.73% |
| BigWalkDawg vs Jin | 7–4 | 63.64% |
| BigWalkDawg vs Reina | 7–4 | 63.64% |
| BigWalkDawg vs Jun | 7–3 | 70.00% |
| BigWalkDawg vs Paul | 6–2 | 75.00% |
| BigWalkDawg vs Bryan | 5–3 | 62.50% |
| BigWalkDawg vs Raven | 2–5 | 28.57% |
| BigWalkDawg vs Lidia | 3–4 | 42.86% |
| BigWalkDawg vs Heihachi | 4–3 | 57.14% |
| BigWalkDawg vs Yoshimitsu | 0–6 | 0.00% |
| BigWalkDawg vs Dragunov | 3–3 | 50.00% |
| BigWalkDawg vs Clive | 4–2 | 66.67% |
| BigWalkDawg vs Devil Jin | 2–3 | 40.00% |
| BigWalkDawg vs Feng | 0–5 | 0.00% |
| BigWalkDawg vs Azucena | 3–2 | 60.00% |
| BigWalkDawg vs Steve | 0–4 | 0.00% |
| BigWalkDawg vs Leo | 4–0 | 100.00% |
| BigWalkDawg vs Lars | 2–2 | 50.00% |
| BigWalkDawg vs Nina | 3–1 | 75.00% |
| BigWalkDawg vs Eddy | 2–2 | 50.00% |
| BigWalkDawg vs Lee | 1–2 | 33.33% |
| BigWalkDawg vs Leroy | 2–1 | 66.67% |
| BigWalkDawg vs Jack-8 | 2–0 | 100.00% |
| BigWalkDawg vs Asuka | 2–0 | 100.00% |
| BigWalkDawg vs Shaheen | 2–0 | 100.00% |
| BigWalkDawg vs Law | 1–0 | 100.00% |
| BigWalkDawg vs Zafina | 1–0 | 100.00% |
| BigWalkDawg vs Fahkumram | 1–0 | 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.