| nagayoshi vs Bryan | 42–41 | 50.60% |
| nagayoshi vs Reina | 42–33 | 56.00% |
| nagayoshi vs Dragunov | 27–46 | 36.99% |
| nagayoshi vs Paul | 34–35 | 49.28% |
| nagayoshi vs Asuka | 39–29 | 57.35% |
| nagayoshi vs Hwoarang | 33–30 | 52.38% |
| nagayoshi vs Jun | 38–22 | 63.33% |
| nagayoshi vs Steve | 22–36 | 37.93% |
| nagayoshi vs King | 31–19 | 62.00% |
| nagayoshi vs Kazuya | 27–20 | 57.45% |
| nagayoshi vs Jin | 18–28 | 39.13% |
| nagayoshi vs Azucena | 24–21 | 53.33% |
| nagayoshi vs Lili | 32–11 | 74.42% |
| nagayoshi vs Alisa | 23–15 | 60.53% |
| nagayoshi vs Nina | 14–20 | 41.18% |
| nagayoshi vs Claudio | 18–15 | 54.55% |
| nagayoshi vs Law | 18–14 | 56.25% |
| nagayoshi vs Yoshimitsu | 15–17 | 46.88% |
| nagayoshi vs Devil Jin | 19–12 | 61.29% |
| nagayoshi vs Lee | 10–21 | 32.26% |
| nagayoshi vs Feng | 10–19 | 34.48% |
| nagayoshi vs Leo | 16–13 | 55.17% |
| nagayoshi vs Xiaoyu | 14–13 | 51.85% |
| nagayoshi vs Jack-8 | 13–13 | 50.00% |
| nagayoshi vs Eddy | 9–17 | 34.62% |
| nagayoshi vs Victor | 13–12 | 52.00% |
| nagayoshi vs Lars | 7–15 | 31.82% |
| nagayoshi vs Raven | 6–15 | 28.57% |
| nagayoshi vs Kuma | 8–11 | 42.11% |
| nagayoshi vs Zafina | 10–6 | 62.50% |
| nagayoshi vs Leroy | 8–8 | 50.00% |
| nagayoshi vs Shaheen | 4–9 | 30.77% |
| nagayoshi vs Panda | 1–11 | 8.33% |
| nagayoshi vs Armor King | 4–7 | 36.36% |
| nagayoshi vs Lidia | 1–6 | 14.29% |
| nagayoshi vs Miary Zo | 2–4 | 33.33% |
| nagayoshi vs Clive | 2–1 | 66.67% |
| nagayoshi vs Anna | 0–1 | 0.00% |
| nagayoshi vs Fahkumram | 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.