Name history
| HAYLO | |
| HAYLO Yt | |
| SCC | HAYLO | |
| S.I.D.C.O.F.A | |
| SCC | Haylo | |
| .:H:. | |
| Sidcofa | |
| DiVa | |
| NEWJEANS | |
| CHAEWON | |
| Chaewon | |
| SIDCOFA | |
| LEVA YT |
| HAYLO vs King | 125–111 | 52.97% |
| HAYLO vs Kazuya | 102–107 | 48.80% |
| HAYLO vs Bryan | 103–91 | 53.09% |
| HAYLO vs Jin | 118–60 | 66.29% |
| HAYLO vs Reina | 97–61 | 61.39% |
| HAYLO vs Steve | 86–66 | 56.58% |
| HAYLO vs Law | 81–55 | 59.56% |
| HAYLO vs Dragunov | 63–59 | 51.64% |
| HAYLO vs Asuka | 72–49 | 59.50% |
| HAYLO vs Hwoarang | 64–50 | 56.14% |
| HAYLO vs Azucena | 62–47 | 56.88% |
| HAYLO vs Lili | 60–48 | 55.56% |
| HAYLO vs Paul | 54–50 | 51.92% |
| HAYLO vs Yoshimitsu | 54–48 | 52.94% |
| HAYLO vs Heihachi | 54–47 | 53.47% |
| HAYLO vs Armor King | 54–43 | 55.67% |
| HAYLO vs Devil Jin | 61–35 | 63.54% |
| HAYLO vs Jun | 52–42 | 55.32% |
| HAYLO vs Lee | 45–48 | 48.39% |
| HAYLO vs Xiaoyu | 50–40 | 55.56% |
| HAYLO vs Lars | 37–51 | 42.05% |
| HAYLO vs Lidia | 42–43 | 49.41% |
| HAYLO vs Eddy | 38–45 | 45.78% |
| HAYLO vs Feng | 40–35 | 53.33% |
| HAYLO vs Fahkumram | 35–28 | 55.56% |
| HAYLO vs Jack-8 | 32–28 | 53.33% |
| HAYLO vs Victor | 36–20 | 64.29% |
| HAYLO vs Alisa | 34–21 | 61.82% |
| HAYLO vs Leo | 24–27 | 47.06% |
| HAYLO vs Raven | 21–25 | 45.65% |
| HAYLO vs Claudio | 18–27 | 40.00% |
| HAYLO vs Leroy | 22–23 | 48.89% |
| HAYLO vs Nina | 18–22 | 45.00% |
| HAYLO vs Kuma | 20–15 | 57.14% |
| HAYLO vs Zafina | 20–15 | 57.14% |
| HAYLO vs Anna | 25–10 | 71.43% |
| HAYLO vs Clive | 15–17 | 46.88% |
| HAYLO vs Shaheen | 10–17 | 37.04% |
| HAYLO vs Miary Zo | 10–8 | 55.56% |
| HAYLO vs Panda | 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.