Name history
| bubble | |
| uuth | |
| woof woof | |
| yipyapper | |
| nomy | |
| sparkster | |
| whuh | |
| NFT stealer | |
| BIGGIE CHEESE | |
| blep | |
| walmart mixups | |
| balls_2004 | |
| gas station mix | |
| Stole D. Round |
| bubble vs Kazuya | 24–10 | 70.59% |
| bubble vs King | 24–8 | 75.00% |
| bubble vs Reina | 20–4 | 83.33% |
| bubble vs Jin | 16–5 | 76.19% |
| bubble vs Bryan | 11–9 | 55.00% |
| bubble vs Heihachi | 13–4 | 76.47% |
| bubble vs Leo | 10–6 | 62.50% |
| bubble vs Dragunov | 12–3 | 80.00% |
| bubble vs Devil Jin | 7–7 | 50.00% |
| bubble vs Hwoarang | 9–4 | 69.23% |
| bubble vs Lili | 11–1 | 91.67% |
| bubble vs Steve | 9–2 | 81.82% |
| bubble vs Jack-8 | 7–4 | 63.64% |
| bubble vs Lee | 5–5 | 50.00% |
| bubble vs Raven | 6–3 | 66.67% |
| bubble vs Law | 6–2 | 75.00% |
| bubble vs Nina | 4–4 | 50.00% |
| bubble vs Eddy | 8–0 | 100.00% |
| bubble vs Paul | 6–1 | 85.71% |
| bubble vs Lars | 5–1 | 83.33% |
| bubble vs Victor | 4–2 | 66.67% |
| bubble vs Feng | 4–1 | 80.00% |
| bubble vs Alisa | 4–1 | 80.00% |
| bubble vs Yoshimitsu | 4–0 | 100.00% |
| bubble vs Claudio | 2–2 | 50.00% |
| bubble vs Leroy | 3–1 | 75.00% |
| bubble vs Xiaoyu | 1–2 | 33.33% |
| bubble vs Armor King | 2–1 | 66.67% |
| bubble vs Asuka | 2–0 | 100.00% |
| bubble vs Jun | 2–0 | 100.00% |
| bubble vs Azucena | 2–0 | 100.00% |
| bubble vs Lidia | 0–2 | 0.00% |
| bubble vs Clive | 2–0 | 100.00% |
| bubble vs Kuma | 1–0 | 100.00% |
| bubble vs Anna | 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.