| m16jhunz vs Jin | 55–86 | 39.01% |
| m16jhunz vs Steve | 57–75 | 43.18% |
| m16jhunz vs Kazuya | 51–64 | 44.35% |
| m16jhunz vs King | 40–54 | 42.55% |
| m16jhunz vs Reina | 42–39 | 51.85% |
| m16jhunz vs Fahkumram | 27–40 | 40.30% |
| m16jhunz vs Dragunov | 26–39 | 40.00% |
| m16jhunz vs Bryan | 23–38 | 37.70% |
| m16jhunz vs Armor King | 24–37 | 39.34% |
| m16jhunz vs Law | 11–34 | 24.44% |
| m16jhunz vs Jun | 19–24 | 44.19% |
| m16jhunz vs Lili | 13–27 | 32.50% |
| m16jhunz vs Asuka | 16–21 | 43.24% |
| m16jhunz vs Paul | 11–25 | 30.56% |
| m16jhunz vs Hwoarang | 10–23–1 | 30.30% |
| m16jhunz vs Lee | 14–19 | 42.42% |
| m16jhunz vs Victor | 16–14 | 53.33% |
| m16jhunz vs Eddy | 6–22 | 21.43% |
| m16jhunz vs Yoshimitsu | 11–16 | 40.74% |
| m16jhunz vs Leo | 7–18 | 28.00% |
| m16jhunz vs Azucena | 10–15 | 40.00% |
| m16jhunz vs Heihachi | 6–16 | 27.27% |
| m16jhunz vs Lidia | 8–13 | 38.10% |
| m16jhunz vs Lars | 2–18 | 10.00% |
| m16jhunz vs Clive | 4–15 | 21.05% |
| m16jhunz vs Claudio | 5–13 | 27.78% |
| m16jhunz vs Anna | 6–12 | 33.33% |
| m16jhunz vs Shaheen | 6–11 | 35.29% |
| m16jhunz vs Raven | 7–9 | 43.75% |
| m16jhunz vs Alisa | 4–11 | 26.67% |
| m16jhunz vs Devil Jin | 2–12 | 14.29% |
| m16jhunz vs Nina | 6–8 | 42.86% |
| m16jhunz vs Miary Zo | 6–7 | 46.15% |
| m16jhunz vs Xiaoyu | 2–10 | 16.67% |
| m16jhunz vs Leroy | 5–6 | 45.45% |
| m16jhunz vs Feng | 4–6 | 40.00% |
| m16jhunz vs Jack-8 | 4–5 | 44.44% |
| m16jhunz vs Zafina | 3–5 | 37.50% |
| m16jhunz vs Kuma | 1–4 | 20.00% |
| m16jhunz vs Panda | 3–2 | 60.00% |
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.