| W-JSTONE vs Bryan | 99–114 | 46.48% |
| W-JSTONE vs Jin | 80–107 | 42.78% |
| W-JSTONE vs King | 73–101–1 | 41.95% |
| W-JSTONE vs Steve | 82–92 | 47.13% |
| W-JSTONE vs Kazuya | 77–94 | 45.03% |
| W-JSTONE vs Hwoarang | 66–55 | 54.55% |
| W-JSTONE vs Armor King | 58–56 | 50.88% |
| W-JSTONE vs Reina | 47–47 | 50.00% |
| W-JSTONE vs Dragunov | 37–56 | 39.78% |
| W-JSTONE vs Paul | 30–53 | 36.14% |
| W-JSTONE vs Heihachi | 37–43 | 46.25% |
| W-JSTONE vs Lili | 28–50 | 35.90% |
| W-JSTONE vs Clive | 40–37 | 51.95% |
| W-JSTONE vs Yoshimitsu | 30–45 | 40.00% |
| W-JSTONE vs Lee | 26–36 | 41.94% |
| W-JSTONE vs Devil Jin | 18–40 | 31.03% |
| W-JSTONE vs Eddy | 36–22 | 62.07% |
| W-JSTONE vs Law | 19–38 | 33.33% |
| W-JSTONE vs Jun | 33–22 | 60.00% |
| W-JSTONE vs Victor | 19–36 | 34.55% |
| W-JSTONE vs Xiaoyu | 24–27 | 47.06% |
| W-JSTONE vs Azucena | 25–26 | 49.02% |
| W-JSTONE vs Asuka | 25–25 | 50.00% |
| W-JSTONE vs Lars | 14–35 | 28.57% |
| W-JSTONE vs Feng | 20–24 | 45.45% |
| W-JSTONE vs Lidia | 18–23 | 43.90% |
| W-JSTONE vs Claudio | 22–16 | 57.89% |
| W-JSTONE vs Raven | 16–22 | 42.11% |
| W-JSTONE vs Alisa | 14–11 | 56.00% |
| W-JSTONE vs Nina | 5–16 | 23.81% |
| W-JSTONE vs Shaheen | 9–10 | 47.37% |
| W-JSTONE vs Kuma | 7–11 | 38.89% |
| W-JSTONE vs Jack-8 | 6–10 | 37.50% |
| W-JSTONE vs Anna | 6–9 | 40.00% |
| W-JSTONE vs Leo | 7–7 | 50.00% |
| W-JSTONE vs Fahkumram | 7–7 | 50.00% |
| W-JSTONE vs Leroy | 9–2 | 81.82% |
| W-JSTONE vs Zafina | 3–4 | 42.86% |
| W-JSTONE vs Panda | 3–3 | 50.00% |
| W-JSTONE vs Miary Zo | 2–3 | 40.00% |
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.