| L(isa)EVERLESS vs Lili | 13–0 | 100.00% |
| L(isa)EVERLESS vs Victor | 10–1 | 90.91% |
| L(isa)EVERLESS vs Jun | 9–1 | 90.00% |
| L(isa)EVERLESS vs Steve | 8–1 | 88.89% |
| L(isa)EVERLESS vs Reina | 7–1 | 87.50% |
| L(isa)EVERLESS vs King | 7–0 | 100.00% |
| L(isa)EVERLESS vs Jin | 6–1 | 85.71% |
| L(isa)EVERLESS vs Lee | 7–0 | 100.00% |
| L(isa)EVERLESS vs Azucena | 6–1 | 85.71% |
| L(isa)EVERLESS vs Asuka | 5–1 | 83.33% |
| L(isa)EVERLESS vs Armor King | 6–0 | 100.00% |
| L(isa)EVERLESS vs Xiaoyu | 5–0 | 100.00% |
| L(isa)EVERLESS vs Leo | 4–1 | 80.00% |
| L(isa)EVERLESS vs Devil Jin | 4–0 | 100.00% |
| L(isa)EVERLESS vs Kuma | 3–1 | 75.00% |
| L(isa)EVERLESS vs Raven | 4–0 | 100.00% |
| L(isa)EVERLESS vs Fahkumram | 4–0 | 100.00% |
| L(isa)EVERLESS vs Hwoarang | 3–0 | 100.00% |
| L(isa)EVERLESS vs Kazuya | 3–0 | 100.00% |
| L(isa)EVERLESS vs Heihachi | 3–0 | 100.00% |
| L(isa)EVERLESS vs Paul | 2–0 | 100.00% |
| L(isa)EVERLESS vs Dragunov | 2–0 | 100.00% |
| L(isa)EVERLESS vs Alisa | 2–0 | 100.00% |
| L(isa)EVERLESS vs Nina | 2–0 | 100.00% |
| L(isa)EVERLESS vs Clive | 2–0 | 100.00% |
| L(isa)EVERLESS vs Anna | 2–0 | 100.00% |
| L(isa)EVERLESS vs Miary Zo | 2–0 | 100.00% |
| L(isa)EVERLESS vs Law | 1–0 | 100.00% |
| L(isa)EVERLESS vs Bryan | 1–0 | 100.00% |
| L(isa)EVERLESS vs Shaheen | 1–0 | 100.00% |
| L(isa)EVERLESS vs Eddy | 1–0 | 100.00% |
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.