Name history
| HB-Lyx | |
| RB-Lyx | |
| MMT|Lostnov | |
| Lostnov | |
| MMT|Jin WooSung | |
| MMT|HitBox Kazo | |
| MMT|Suplex City |
| HB-Lyx vs Kazuya | 156–164 | 48.75% |
| HB-Lyx vs Jin | 185–119 | 60.86% |
| HB-Lyx vs Bryan | 149–114 | 56.65% |
| HB-Lyx vs King | 154–88 | 63.64% |
| HB-Lyx vs Hwoarang | 103–100 | 50.74% |
| HB-Lyx vs Dragunov | 93–71 | 56.71% |
| HB-Lyx vs Reina | 58–97 | 37.42% |
| HB-Lyx vs Devil Jin | 70–76 | 47.95% |
| HB-Lyx vs Paul | 65–79 | 45.14% |
| HB-Lyx vs Yoshimitsu | 68–75–1 | 47.55% |
| HB-Lyx vs Law | 71–63 | 52.99% |
| HB-Lyx vs Lili | 77–57 | 57.46% |
| HB-Lyx vs Steve | 50–65 | 43.48% |
| HB-Lyx vs Lars | 69–42 | 62.16% |
| HB-Lyx vs Lee | 45–58 | 43.69% |
| HB-Lyx vs Asuka | 51–50 | 50.50% |
| HB-Lyx vs Alisa | 64–34 | 65.31% |
| HB-Lyx vs Jun | 43–52 | 45.26% |
| HB-Lyx vs Feng | 43–40 | 51.81% |
| HB-Lyx vs Nina | 41–34 | 54.67% |
| HB-Lyx vs Eddy | 31–38 | 44.93% |
| HB-Lyx vs Heihachi | 28–35 | 44.44% |
| HB-Lyx vs Victor | 27–35 | 43.55% |
| HB-Lyx vs Leroy | 31–30 | 50.82% |
| HB-Lyx vs Azucena | 19–42 | 31.15% |
| HB-Lyx vs Jack-8 | 24–33 | 42.11% |
| HB-Lyx vs Fahkumram | 24–30 | 44.44% |
| HB-Lyx vs Xiaoyu | 24–29 | 45.28% |
| HB-Lyx vs Raven | 19–27 | 41.30% |
| HB-Lyx vs Claudio | 22–21 | 51.16% |
| HB-Lyx vs Zafina | 14–28 | 33.33% |
| HB-Lyx vs Leo | 11–29 | 27.50% |
| HB-Lyx vs Shaheen | 18–22 | 45.00% |
| HB-Lyx vs Kuma | 17–23 | 42.50% |
| HB-Lyx vs Clive | 11–19 | 36.67% |
| HB-Lyx vs Anna | 10–14 | 41.67% |
| HB-Lyx vs Lidia | 5–18 | 21.74% |
| HB-Lyx vs Panda | 5–4 | 55.56% |
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.