vDiiVERSE vs Kazuya | 70–52 | 57.38% |
vDiiVERSE vs King | 58–43 | 57.43% |
vDiiVERSE vs Reina | 55–41 | 57.29% |
vDiiVERSE vs Jin | 52–42 | 55.32% |
vDiiVERSE vs Bryan | 49–41 | 54.44% |
vDiiVERSE vs Heihachi | 49–38 | 56.32% |
vDiiVERSE vs Dragunov | 34–46 | 42.50% |
vDiiVERSE vs Paul | 34–36 | 48.57% |
vDiiVERSE vs Law | 38–28 | 57.58% |
vDiiVERSE vs Lee | 24–36 | 40.00% |
vDiiVERSE vs Steve | 33–26 | 55.93% |
vDiiVERSE vs Hwoarang | 32–21 | 60.38% |
vDiiVERSE vs Azucena | 27–26 | 50.94% |
vDiiVERSE vs Yoshimitsu | 30–21 | 58.82% |
vDiiVERSE vs Asuka | 28–21 | 57.14% |
vDiiVERSE vs Lili | 18–25 | 41.86% |
vDiiVERSE vs Jun | 21–19 | 52.50% |
vDiiVERSE vs Devil Jin | 17–20 | 45.95% |
vDiiVERSE vs Leroy | 18–19 | 48.65% |
vDiiVERSE vs Feng | 19–16 | 54.29% |
vDiiVERSE vs Lars | 14–21 | 40.00% |
vDiiVERSE vs Nina | 24–11 | 68.57% |
vDiiVERSE vs Raven | 18–15 | 54.55% |
vDiiVERSE vs Jack-8 | 12–20 | 37.50% |
vDiiVERSE vs Xiaoyu | 10–17 | 37.04% |
vDiiVERSE vs Lidia | 10–17 | 37.04% |
vDiiVERSE vs Clive | 6–20 | 23.08% |
vDiiVERSE vs Leo | 11–14 | 44.00% |
vDiiVERSE vs Victor | 8–17 | 32.00% |
vDiiVERSE vs Alisa | 14–8 | 63.64% |
vDiiVERSE vs Eddy | 11–10 | 52.38% |
vDiiVERSE vs Claudio | 8–10 | 44.44% |
vDiiVERSE vs Kuma | 10–5 | 66.67% |
vDiiVERSE vs Zafina | 4–5 | 44.44% |
vDiiVERSE vs Panda | 4–4 | 50.00% |
vDiiVERSE vs Shaheen | 5–0 | 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.