| FlashPark vs Hwoarang | 179–107 | 62.59% |
| FlashPark vs Bryan | 143–141 | 50.35% |
| FlashPark vs Dragunov | 137–126 | 52.09% |
| FlashPark vs Paul | 114–98 | 53.77% |
| FlashPark vs Kazuya | 112–100 | 52.83% |
| FlashPark vs Steve | 106–101 | 51.21% |
| FlashPark vs Jin | 99–86 | 53.51% |
| FlashPark vs Yoshimitsu | 102–75 | 57.63% |
| FlashPark vs Law | 84–78 | 51.85% |
| FlashPark vs Asuka | 73–89 | 45.06% |
| FlashPark vs Feng | 88–72 | 55.00% |
| FlashPark vs Reina | 80–79 | 50.31% |
| FlashPark vs Victor | 66–91 | 42.04% |
| FlashPark vs King | 65–91 | 41.67% |
| FlashPark vs Jack-8 | 85–61 | 58.22% |
| FlashPark vs Devil Jin | 71–75 | 48.63% |
| FlashPark vs Lars | 79–57 | 58.09% |
| FlashPark vs Lili | 70–63 | 52.63% |
| FlashPark vs Jun | 73–60 | 54.89% |
| FlashPark vs Nina | 69–61 | 53.08% |
| FlashPark vs Claudio | 70–54 | 56.45% |
| FlashPark vs Azucena | 69–53 | 56.56% |
| FlashPark vs Xiaoyu | 63–56 | 52.94% |
| FlashPark vs Alisa | 57–62 | 47.90% |
| FlashPark vs Eddy | 54–64 | 45.76% |
| FlashPark vs Leroy | 58–51 | 53.21% |
| FlashPark vs Zafina | 54–49 | 52.43% |
| FlashPark vs Heihachi | 50–49 | 50.51% |
| FlashPark vs Lee | 49–47 | 51.04% |
| FlashPark vs Leo | 53–32 | 62.35% |
| FlashPark vs Raven | 33–46 | 41.77% |
| FlashPark vs Shaheen | 36–40 | 47.37% |
| FlashPark vs Lidia | 32–40 | 44.44% |
| FlashPark vs Kuma | 32–39 | 45.07% |
| FlashPark vs Fahkumram | 31–32 | 49.21% |
| FlashPark vs Armor King | 33–28 | 54.10% |
| FlashPark vs Clive | 25–35 | 41.67% |
| FlashPark vs Anna | 32–27 | 54.24% |
| FlashPark vs Panda | 21–29 | 42.00% |
| FlashPark vs Miary Zo | 7–5 | 58.33% |
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.