| AREA88 vs Kazuya | 133–137 | 49.26% |
| AREA88 vs King | 108–133 | 44.81% |
| AREA88 vs Reina | 124–101 | 55.11% |
| AREA88 vs Paul | 94–110 | 46.08% |
| AREA88 vs Dragunov | 92–98 | 48.42% |
| AREA88 vs Jin | 83–103 | 44.62% |
| AREA88 vs Bryan | 71–103 | 40.80% |
| AREA88 vs Hwoarang | 79–81 | 49.38% |
| AREA88 vs Asuka | 68–83 | 45.03% |
| AREA88 vs Heihachi | 66–83 | 44.30% |
| AREA88 vs Lili | 79–69 | 53.38% |
| AREA88 vs Steve | 45–64 | 41.28% |
| AREA88 vs Law | 50–50 | 50.00% |
| AREA88 vs Jun | 30–58 | 34.09% |
| AREA88 vs Yoshimitsu | 35–52 | 40.23% |
| AREA88 vs Victor | 34–52 | 39.53% |
| AREA88 vs Azucena | 41–40 | 50.62% |
| AREA88 vs Lidia | 37–43 | 46.25% |
| AREA88 vs Lars | 29–50 | 36.71% |
| AREA88 vs Devil Jin | 32–45 | 41.56% |
| AREA88 vs Xiaoyu | 42–21 | 66.67% |
| AREA88 vs Claudio | 22–39 | 36.07% |
| AREA88 vs Jack-8 | 22–38 | 36.67% |
| AREA88 vs Feng | 19–38 | 33.33% |
| AREA88 vs Leo | 25–29 | 46.30% |
| AREA88 vs Alisa | 19–35 | 35.19% |
| AREA88 vs Clive | 18–33 | 35.29% |
| AREA88 vs Leroy | 14–34 | 29.17% |
| AREA88 vs Nina | 18–29 | 38.30% |
| AREA88 vs Anna | 21–24 | 46.67% |
| AREA88 vs Raven | 13–27 | 32.50% |
| AREA88 vs Zafina | 19–18 | 51.35% |
| AREA88 vs Miary Zo | 14–23 | 37.84% |
| AREA88 vs Shaheen | 14–19 | 42.42% |
| AREA88 vs Eddy | 14–18 | 43.75% |
| AREA88 vs Lee | 10–19 | 34.48% |
| AREA88 vs Armor King | 10–14 | 41.67% |
| AREA88 vs Kuma | 7–15 | 31.82% |
| AREA88 vs Fahkumram | 4–7 | 36.36% |
| AREA88 vs Panda | 3–4 | 42.86% |
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.