Name history
| Blob | |
| Mayfair | |
| Derp | |
| N0n3 | |
| ifulagnorematch | |
| Pailure | |
| Lones | |
| Noobers | |
| h0nestea | |
| No0bies | |
| DeadMoj0 | |
| M0nk3e | |
| badgoodbad | |
| poolnoodel | |
| lumpnoodle | |
| xiaome | |
| Doughnot | |
| NoobSaiblot | |
| Failure2Launch | |
| Delulu | |
| FOLIE | |
| PersonalityHire | |
| Donbad | |
| Bad Luc | |
| Koobideh | |
| Potato Puff | |
| Bad Player | |
| Coffee Chalk | |
| Failed Parmesan |
| Blob vs Reina | 42–72 | 36.84% |
| Blob vs Jin | 35–70 | 33.33% |
| Blob vs Kazuya | 43–60 | 41.75% |
| Blob vs King | 34–42 | 44.74% |
| Blob vs Bryan | 22–48 | 31.43% |
| Blob vs Steve | 35–34 | 50.72% |
| Blob vs Hwoarang | 23–39 | 37.10% |
| Blob vs Lili | 27–33 | 45.00% |
| Blob vs Jun | 18–41 | 30.51% |
| Blob vs Eddy | 13–45 | 22.41% |
| Blob vs Paul | 32–24 | 57.14% |
| Blob vs Asuka | 25–31 | 44.64% |
| Blob vs Dragunov | 19–28 | 40.43% |
| Blob vs Law | 16–30 | 34.78% |
| Blob vs Nina | 22–21 | 51.16% |
| Blob vs Azucena | 16–26 | 38.10% |
| Blob vs Yoshimitsu | 11–26 | 29.73% |
| Blob vs Feng | 11–25 | 30.56% |
| Blob vs Devil Jin | 11–24 | 31.43% |
| Blob vs Leroy | 14–21 | 40.00% |
| Blob vs Lee | 13–21 | 38.24% |
| Blob vs Kuma | 6–24 | 20.00% |
| Blob vs Victor | 5–24 | 17.24% |
| Blob vs Leo | 12–16 | 42.86% |
| Blob vs Lars | 12–16 | 42.86% |
| Blob vs Raven | 10–18 | 35.71% |
| Blob vs Alisa | 7–18 | 28.00% |
| Blob vs Xiaoyu | 14–10 | 58.33% |
| Blob vs Jack-8 | 8–15 | 34.78% |
| Blob vs Shaheen | 8–14 | 36.36% |
| Blob vs Claudio | 4–15 | 21.05% |
| Blob vs Zafina | 4–9 | 30.77% |
| Blob vs Panda | 2–9 | 18.18% |
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.