| Flerk2727 vs Bryan | 146–216 | 40.33% |
| Flerk2727 vs Kazuya | 151–199 | 43.14% |
| Flerk2727 vs King | 145–182 | 44.34% |
| Flerk2727 vs Jin | 128–187 | 40.63% |
| Flerk2727 vs Steve | 155–152 | 50.49% |
| Flerk2727 vs Heihachi | 77–135 | 36.32% |
| Flerk2727 vs Armor King | 83–111 | 42.78% |
| Flerk2727 vs Dragunov | 84–102 | 45.16% |
| Flerk2727 vs Law | 58–121 | 32.40% |
| Flerk2727 vs Paul | 67–101 | 39.88% |
| Flerk2727 vs Yoshimitsu | 58–94 | 38.16% |
| Flerk2727 vs Lee | 60–85 | 41.38% |
| Flerk2727 vs Reina | 50–82–1 | 37.88% |
| Flerk2727 vs Hwoarang | 59–70 | 45.74% |
| Flerk2727 vs Lili | 47–61 | 43.52% |
| Flerk2727 vs Fahkumram | 57–51 | 52.78% |
| Flerk2727 vs Jun | 48–53 | 47.52% |
| Flerk2727 vs Devil Jin | 25–58 | 30.12% |
| Flerk2727 vs Xiaoyu | 31–49 | 38.75% |
| Flerk2727 vs Eddy | 39–36 | 52.00% |
| Flerk2727 vs Asuka | 31–35 | 46.97% |
| Flerk2727 vs Victor | 25–41 | 37.88% |
| Flerk2727 vs Azucena | 29–35 | 45.31% |
| Flerk2727 vs Nina | 21–38 | 35.59% |
| Flerk2727 vs Lidia | 24–27 | 47.06% |
| Flerk2727 vs Lars | 16–28 | 36.36% |
| Flerk2727 vs Kuma | 12–31 | 27.91% |
| Flerk2727 vs Alisa | 23–19 | 54.76% |
| Flerk2727 vs Jack-8 | 13–27 | 32.50% |
| Flerk2727 vs Clive | 22–16 | 57.89% |
| Flerk2727 vs Feng | 8–28 | 22.22% |
| Flerk2727 vs Claudio | 15–18 | 45.45% |
| Flerk2727 vs Leo | 13–18 | 41.94% |
| Flerk2727 vs Anna | 16–15 | 51.61% |
| Flerk2727 vs Leroy | 15–14 | 51.72% |
| Flerk2727 vs Raven | 8–19 | 29.63% |
| Flerk2727 vs Miary Zo | 8–14 | 36.36% |
| Flerk2727 vs Zafina | 3–17 | 15.00% |
| Flerk2727 vs Panda | 3–11 | 21.43% |
| Flerk2727 vs Shaheen | 5–5 | 50.00% |
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.