| #2016 vs Jin | 27–14 | 65.85% |
| #2016 vs King | 24–13 | 64.86% |
| #2016 vs Kazuya | 19–17 | 52.78% |
| #2016 vs Lili | 18–15 | 54.55% |
| #2016 vs Reina | 21–12 | 63.64% |
| #2016 vs Steve | 18–12 | 60.00% |
| #2016 vs Law | 17–10 | 62.96% |
| #2016 vs Heihachi | 9–15 | 37.50% |
| #2016 vs Bryan | 4–15 | 21.05% |
| #2016 vs Devil Jin | 13–5 | 72.22% |
| #2016 vs Victor | 10–8 | 55.56% |
| #2016 vs Eddy | 5–12 | 29.41% |
| #2016 vs Dragunov | 6–10 | 37.50% |
| #2016 vs Nina | 3–13 | 18.75% |
| #2016 vs Paul | 4–10 | 28.57% |
| #2016 vs Asuka | 8–5 | 61.54% |
| #2016 vs Alisa | 10–3 | 76.92% |
| #2016 vs Lidia | 4–9 | 30.77% |
| #2016 vs Hwoarang | 1–9 | 10.00% |
| #2016 vs Leo | 4–6 | 40.00% |
| #2016 vs Feng | 5–4 | 55.56% |
| #2016 vs Clive | 4–5 | 44.44% |
| #2016 vs Lars | 5–3 | 62.50% |
| #2016 vs Zafina | 4–3 | 57.14% |
| #2016 vs Fahkumram | 5–2 | 71.43% |
| #2016 vs Yoshimitsu | 5–1 | 83.33% |
| #2016 vs Leroy | 4–2 | 66.67% |
| #2016 vs Jun | 3–3 | 50.00% |
| #2016 vs Azucena | 2–4 | 33.33% |
| #2016 vs Jack-8 | 2–3 | 40.00% |
| #2016 vs Anna | 5–0 | 100.00% |
| #2016 vs Claudio | 3–1 | 75.00% |
| #2016 vs Kuma | 2–2 | 50.00% |
| #2016 vs Panda | 2–2 | 50.00% |
| #2016 vs Lee | 3–0 | 100.00% |
| #2016 vs Armor King | 1–2 | 33.33% |
| #2016 vs Shaheen | 0–2 | 0.00% |
| #2016 vs Raven | 0–1 | 0.00% |
| #2016 vs Miary Zo | 0–1 | 0.00% |
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.