| NanahiraLover vs Yoshimitsu | 12–2 | 85.71% |
| NanahiraLover vs Kazuya | 10–4 | 71.43% |
| NanahiraLover vs King | 11–1 | 91.67% |
| NanahiraLover vs Law | 6–5 | 54.55% |
| NanahiraLover vs Lee | 8–1 | 88.89% |
| NanahiraLover vs Hwoarang | 6–2 | 75.00% |
| NanahiraLover vs Jin | 5–3 | 62.50% |
| NanahiraLover vs Devil Jin | 7–1 | 87.50% |
| NanahiraLover vs Steve | 4–3 | 57.14% |
| NanahiraLover vs Reina | 4–3 | 57.14% |
| NanahiraLover vs Asuka | 4–2 | 66.67% |
| NanahiraLover vs Lars | 1–5 | 16.67% |
| NanahiraLover vs Heihachi | 5–1 | 83.33% |
| NanahiraLover vs Armor King | 3–3 | 50.00% |
| NanahiraLover vs Nina | 2–2 | 50.00% |
| NanahiraLover vs Victor | 2–2 | 50.00% |
| NanahiraLover vs Bryan | 2–1 | 66.67% |
| NanahiraLover vs Lili | 2–1 | 66.67% |
| NanahiraLover vs Shaheen | 1–2 | 33.33% |
| NanahiraLover vs Jun | 2–1 | 66.67% |
| NanahiraLover vs Lidia | 1–2 | 33.33% |
| NanahiraLover vs Fahkumram | 2–1 | 66.67% |
| NanahiraLover vs Xiaoyu | 0–2 | 0.00% |
| NanahiraLover vs Dragunov | 2–0 | 100.00% |
| NanahiraLover vs Claudio | 2–0 | 100.00% |
| NanahiraLover vs Azucena | 2–0 | 100.00% |
| NanahiraLover vs Anna | 1–1 | 50.00% |
| NanahiraLover vs Miary Zo | 2–0 | 100.00% |
| NanahiraLover vs Paul | 1–0 | 100.00% |
| NanahiraLover vs Jack-8 | 1–0 | 100.00% |
| NanahiraLover vs Clive | 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.