Name history
| TEP7 | |
| 5578q | |
| jawfbae | |
| jawfhbae | |
| tenp | |
| TEsssssss | |
| TE1L3 ttv | |
| TE1L | |
| あーにゃ乳すき | |
| あーにゃふぉー叔父やー | |
| TENP |
| TEP7 vs Dragunov | 304–199 | 60.44% |
| TEP7 vs Bryan | 261–220 | 54.26% |
| TEP7 vs King | 249–181 | 57.91% |
| TEP7 vs Reina | 219–178 | 55.16% |
| TEP7 vs Jin | 225–165 | 57.69% |
| TEP7 vs Kazuya | 188–195 | 49.09% |
| TEP7 vs Paul | 188–191 | 49.60% |
| TEP7 vs Asuka | 207–171 | 54.76% |
| TEP7 vs Hwoarang | 177–193 | 47.84% |
| TEP7 vs Steve | 166–169 | 49.55% |
| TEP7 vs Heihachi | 158–152 | 50.97% |
| TEP7 vs Lili | 163–135–1 | 54.70% |
| TEP7 vs Lidia | 197–84 | 70.11% |
| TEP7 vs Jun | 134–105 | 56.07% |
| TEP7 vs Feng | 114–103 | 52.53% |
| TEP7 vs Yoshimitsu | 105–109 | 49.07% |
| TEP7 vs Armor King | 108–99 | 52.17% |
| TEP7 vs Law | 104–96 | 52.00% |
| TEP7 vs Lars | 90–108 | 45.45% |
| TEP7 vs Victor | 96–97 | 49.74% |
| TEP7 vs Claudio | 105–87 | 54.69% |
| TEP7 vs Alisa | 99–86–1 | 53.51% |
| TEP7 vs Azucena | 95–91 | 51.08% |
| TEP7 vs Devil Jin | 89–94 | 48.63% |
| TEP7 vs Jack-8 | 72–107 | 40.22% |
| TEP7 vs Fahkumram | 108–57 | 65.45% |
| TEP7 vs Xiaoyu | 75–79 | 48.70% |
| TEP7 vs Clive | 74–80 | 48.05% |
| TEP7 vs Leroy | 88–65 | 57.52% |
| TEP7 vs Lee | 72–77 | 48.32% |
| TEP7 vs Leo | 72–72 | 50.00% |
| TEP7 vs Anna | 71–71 | 50.00% |
| TEP7 vs Nina | 38–89 | 29.92% |
| TEP7 vs Shaheen | 60–60 | 50.00% |
| TEP7 vs Eddy | 47–59 | 44.34% |
| TEP7 vs Kuma | 41–60 | 40.59% |
| TEP7 vs Miary Zo | 51–48 | 51.52% |
| TEP7 vs Zafina | 35–57 | 38.04% |
| TEP7 vs Raven | 28–55 | 33.73% |
| TEP7 vs Panda | 22–28 | 44.00% |
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.