| WD_BLACK SN850 vs Hwoarang | 13–17 | 43.33% |
| WD_BLACK SN850 vs Dragunov | 3–9 | 25.00% |
| WD_BLACK SN850 vs Reina | 8–4 | 66.67% |
| WD_BLACK SN850 vs King | 7–3 | 70.00% |
| WD_BLACK SN850 vs Jin | 2–5 | 28.57% |
| WD_BLACK SN850 vs Victor | 0–6 | 0.00% |
| WD_BLACK SN850 vs Paul | 4–1 | 80.00% |
| WD_BLACK SN850 vs Lili | 0–5 | 0.00% |
| WD_BLACK SN850 vs Azucena | 2–3 | 40.00% |
| WD_BLACK SN850 vs Xiaoyu | 2–2 | 50.00% |
| WD_BLACK SN850 vs Jack-8 | 0–4 | 0.00% |
| WD_BLACK SN850 vs Asuka | 3–1 | 75.00% |
| WD_BLACK SN850 vs Lars | 1–3 | 25.00% |
| WD_BLACK SN850 vs Jun | 3–1 | 75.00% |
| WD_BLACK SN850 vs Yoshimitsu | 1–2 | 33.33% |
| WD_BLACK SN850 vs Kazuya | 0–3 | 0.00% |
| WD_BLACK SN850 vs Steve | 0–3 | 0.00% |
| WD_BLACK SN850 vs Feng | 1–2 | 33.33% |
| WD_BLACK SN850 vs Nina | 1–2 | 33.33% |
| WD_BLACK SN850 vs Panda | 2–1 | 66.67% |
| WD_BLACK SN850 vs Eddy | 1–2 | 33.33% |
| WD_BLACK SN850 vs Law | 0–2 | 0.00% |
| WD_BLACK SN850 vs Devil Jin | 0–2 | 0.00% |
| WD_BLACK SN850 vs Alisa | 0–2 | 0.00% |
| WD_BLACK SN850 vs Bryan | 1–0 | 100.00% |
| WD_BLACK SN850 vs Claudio | 0–1 | 0.00% |
| WD_BLACK SN850 vs Shaheen | 1–0 | 100.00% |
| WD_BLACK SN850 vs Lee | 0–1 | 0.00% |
| WD_BLACK SN850 vs Kuma | 0–1 | 0.00% |
| WD_BLACK SN850 vs Zafina | 1–0 | 100.00% |
| WD_BLACK SN850 vs Heihachi | 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.