Name history
| HELLO | |
| lilhite | |
| hello | |
| Israel Adesanya | |
| 입시끝난수환 | |
| 나는야골목대장퉁퉁이 | |
| Sean Strickland |
| HELLO vs Jin | 20–19 | 51.28% |
| HELLO vs Dragunov | 15–22 | 40.54% |
| HELLO vs Paul | 16–17 | 48.48% |
| HELLO vs Feng | 18–11 | 62.07% |
| HELLO vs Reina | 17–10 | 62.96% |
| HELLO vs Asuka | 15–8 | 65.22% |
| HELLO vs Kazuya | 9–13 | 40.91% |
| HELLO vs King | 10–11 | 47.62% |
| HELLO vs Lars | 10–10 | 50.00% |
| HELLO vs Jun | 13–7 | 65.00% |
| HELLO vs Law | 10–9 | 52.63% |
| HELLO vs Hwoarang | 6–10 | 37.50% |
| HELLO vs Lili | 8–8 | 50.00% |
| HELLO vs Lidia | 10–6 | 62.50% |
| HELLO vs Fahkumram | 8–8 | 50.00% |
| HELLO vs Devil Jin | 4–10 | 28.57% |
| HELLO vs Xiaoyu | 6–6 | 50.00% |
| HELLO vs Lee | 7–5 | 58.33% |
| HELLO vs Leroy | 10–2 | 83.33% |
| HELLO vs Nina | 5–6 | 45.45% |
| HELLO vs Heihachi | 2–9 | 18.18% |
| HELLO vs Alisa | 5–5 | 50.00% |
| HELLO vs Claudio | 4–6 | 40.00% |
| HELLO vs Yoshimitsu | 6–3 | 66.67% |
| HELLO vs Bryan | 6–3 | 66.67% |
| HELLO vs Steve | 7–2 | 77.78% |
| HELLO vs Azucena | 6–3 | 66.67% |
| HELLO vs Victor | 4–5 | 44.44% |
| HELLO vs Eddy | 5–3 | 62.50% |
| HELLO vs Leo | 3–4 | 42.86% |
| HELLO vs Jack-8 | 2–4 | 33.33% |
| HELLO vs Kuma | 2–4 | 33.33% |
| HELLO vs Raven | 4–2 | 66.67% |
| HELLO vs Zafina | 2–3 | 40.00% |
| HELLO vs Clive | 2–2 | 50.00% |
| HELLO vs Shaheen | 1–2 | 33.33% |
| HELLO vs Panda | 1–2 | 33.33% |
| HELLO vs Armor King | 1–2 | 33.33% |
| HELLO vs Anna | 2–0 | 100.00% |
| HELLO vs Miary Zo | 0–1 | 0.00% |
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.