| PRESTIGE-682 vs King | 21–29 | 42.00% |
| PRESTIGE-682 vs Armor King | 16–29 | 35.56% |
| PRESTIGE-682 vs Steve | 17–20 | 45.95% |
| PRESTIGE-682 vs Dragunov | 20–14 | 58.82% |
| PRESTIGE-682 vs Jin | 9–24 | 27.27% |
| PRESTIGE-682 vs Kazuya | 7–23 | 23.33% |
| PRESTIGE-682 vs Law | 16–12 | 57.14% |
| PRESTIGE-682 vs Victor | 7–20 | 25.93% |
| PRESTIGE-682 vs Bryan | 11–13 | 45.83% |
| PRESTIGE-682 vs Lili | 12–6 | 66.67% |
| PRESTIGE-682 vs Eddy | 7–10 | 41.18% |
| PRESTIGE-682 vs Fahkumram | 7–10 | 41.18% |
| PRESTIGE-682 vs Lars | 9–7 | 56.25% |
| PRESTIGE-682 vs Nina | 6–10 | 37.50% |
| PRESTIGE-682 vs Lee | 6–10 | 37.50% |
| PRESTIGE-682 vs Hwoarang | 6–9 | 40.00% |
| PRESTIGE-682 vs Paul | 5–8 | 38.46% |
| PRESTIGE-682 vs Jun | 5–8 | 38.46% |
| PRESTIGE-682 vs Alisa | 2–10 | 16.67% |
| PRESTIGE-682 vs Raven | 6–6 | 50.00% |
| PRESTIGE-682 vs Jack-8 | 3–8 | 27.27% |
| PRESTIGE-682 vs Devil Jin | 3–8 | 27.27% |
| PRESTIGE-682 vs Reina | 3–8 | 27.27% |
| PRESTIGE-682 vs Clive | 2–9 | 18.18% |
| PRESTIGE-682 vs Heihachi | 6–4 | 60.00% |
| PRESTIGE-682 vs Leroy | 7–2 | 77.78% |
| PRESTIGE-682 vs Miary Zo | 5–3 | 62.50% |
| PRESTIGE-682 vs Xiaoyu | 3–3 | 50.00% |
| PRESTIGE-682 vs Kuma | 3–3 | 50.00% |
| PRESTIGE-682 vs Lidia | 4–1 | 80.00% |
| PRESTIGE-682 vs Asuka | 3–1 | 75.00% |
| PRESTIGE-682 vs Anna | 0–4 | 0.00% |
| PRESTIGE-682 vs Leo | 1–2 | 33.33% |
| PRESTIGE-682 vs Claudio | 2–1 | 66.67% |
| PRESTIGE-682 vs Yoshimitsu | 0–2 | 0.00% |
| PRESTIGE-682 vs Feng | 1–1 | 50.00% |
| PRESTIGE-682 vs Shaheen | 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.