jmc_mello vs Jin | 52–50 | 50.98% |
jmc_mello vs Kazuya | 50–44 | 53.19% |
jmc_mello vs Reina | 47–46 | 50.54% |
jmc_mello vs Hwoarang | 36–56 | 39.13% |
jmc_mello vs King | 43–43 | 50.00% |
jmc_mello vs Bryan | 35–47 | 42.68% |
jmc_mello vs Law | 28–36 | 43.75% |
jmc_mello vs Lili | 30–34 | 46.88% |
jmc_mello vs Lee | 34–29 | 53.97% |
jmc_mello vs Dragunov | 24–38 | 38.71% |
jmc_mello vs Jun | 31–26 | 54.39% |
jmc_mello vs Steve | 29–26 | 52.73% |
jmc_mello vs Lidia | 26–24 | 52.00% |
jmc_mello vs Azucena | 22–27 | 44.90% |
jmc_mello vs Paul | 19–27 | 41.30% |
jmc_mello vs Lars | 21–25 | 45.65% |
jmc_mello vs Feng | 25–20 | 55.56% |
jmc_mello vs Victor | 27–17 | 61.36% |
jmc_mello vs Nina | 17–25 | 40.48% |
jmc_mello vs Yoshimitsu | 18–21 | 46.15% |
jmc_mello vs Leo | 15–22 | 40.54% |
jmc_mello vs Asuka | 15–20 | 42.86% |
jmc_mello vs Clive | 14–20 | 41.18% |
jmc_mello vs Xiaoyu | 14–18 | 43.75% |
jmc_mello vs Raven | 14–16 | 46.67% |
jmc_mello vs Eddy | 13–16 | 44.83% |
jmc_mello vs Heihachi | 12–17 | 41.38% |
jmc_mello vs Devil Jin | 10–18 | 35.71% |
jmc_mello vs Leroy | 11–17 | 39.29% |
jmc_mello vs Alisa | 11–13 | 45.83% |
jmc_mello vs Jack-8 | 8–14 | 36.36% |
jmc_mello vs Claudio | 7–13 | 35.00% |
jmc_mello vs Shaheen | 9–5 | 64.29% |
jmc_mello vs Kuma | 2–9 | 18.18% |
jmc_mello vs Zafina | 5–4 | 55.56% |
jmc_mello vs Panda | 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.