| AnuragPuma vs King | 57–35 | 61.96% |
| AnuragPuma vs Kazuya | 38–39 | 49.35% |
| AnuragPuma vs Paul | 34–26 | 56.67% |
| AnuragPuma vs Jin | 37–19 | 66.07% |
| AnuragPuma vs Law | 27–23 | 54.00% |
| AnuragPuma vs Bryan | 16–30 | 34.78% |
| AnuragPuma vs Clive | 33–10 | 76.74% |
| AnuragPuma vs Dragunov | 19–19 | 50.00% |
| AnuragPuma vs Steve | 13–23 | 36.11% |
| AnuragPuma vs Heihachi | 8–23 | 25.81% |
| AnuragPuma vs Yoshimitsu | 16–14 | 53.33% |
| AnuragPuma vs Devil Jin | 10–18 | 35.71% |
| AnuragPuma vs Hwoarang | 13–7 | 65.00% |
| AnuragPuma vs Reina | 13–7 | 65.00% |
| AnuragPuma vs Feng | 8–9 | 47.06% |
| AnuragPuma vs Lili | 8–9 | 47.06% |
| AnuragPuma vs Nina | 11–6 | 64.71% |
| AnuragPuma vs Asuka | 10–6 | 62.50% |
| AnuragPuma vs Lidia | 9–7 | 56.25% |
| AnuragPuma vs Anna | 4–12 | 25.00% |
| AnuragPuma vs Armor King | 7–8 | 46.67% |
| AnuragPuma vs Xiaoyu | 7–6 | 53.85% |
| AnuragPuma vs Claudio | 5–8 | 38.46% |
| AnuragPuma vs Eddy | 6–7 | 46.15% |
| AnuragPuma vs Jack-8 | 6–5 | 54.55% |
| AnuragPuma vs Victor | 6–5 | 54.55% |
| AnuragPuma vs Alisa | 5–5 | 50.00% |
| AnuragPuma vs Jun | 4–6 | 40.00% |
| AnuragPuma vs Lars | 3–6 | 33.33% |
| AnuragPuma vs Azucena | 4–5 | 44.44% |
| AnuragPuma vs Lee | 2–6 | 25.00% |
| AnuragPuma vs Fahkumram | 2–6 | 25.00% |
| AnuragPuma vs Leo | 0–7 | 0.00% |
| AnuragPuma vs Shaheen | 3–4 | 42.86% |
| AnuragPuma vs Kuma | 2–2 | 50.00% |
| AnuragPuma vs Miary Zo | 2–2 | 50.00% |
| AnuragPuma vs Panda | 2–0 | 100.00% |
| AnuragPuma vs Zafina | 2–0 | 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.