| nLshhh vs Jin | 87–90 | 49.15% |
| nLshhh vs King | 88–70 | 55.70% |
| nLshhh vs Law | 71–68 | 51.08% |
| nLshhh vs Bryan | 59–73 | 44.70% |
| nLshhh vs Steve | 54–58 | 48.21% |
| nLshhh vs Hwoarang | 51–59 | 46.36% |
| nLshhh vs Reina | 52–56 | 48.15% |
| nLshhh vs Yoshimitsu | 47–52 | 47.47% |
| nLshhh vs Kazuya | 59–40 | 59.60% |
| nLshhh vs Eddy | 54–39–2 | 58.06% |
| nLshhh vs Lars | 49–39 | 55.68% |
| nLshhh vs Dragunov | 46–38 | 54.76% |
| nLshhh vs Lili | 42–39 | 51.85% |
| nLshhh vs Lee | 33–47 | 41.25% |
| nLshhh vs Paul | 44–35 | 55.70% |
| nLshhh vs Nina | 34–40 | 45.95% |
| nLshhh vs Azucena | 40–34 | 54.05% |
| nLshhh vs Jun | 33–31 | 51.56% |
| nLshhh vs Feng | 41–22 | 65.08% |
| nLshhh vs Asuka | 28–33 | 45.90% |
| nLshhh vs Lidia | 37–19 | 66.07% |
| nLshhh vs Alisa | 23–26 | 46.94% |
| nLshhh vs Heihachi | 27–21 | 56.25% |
| nLshhh vs Leo | 24–23 | 51.06% |
| nLshhh vs Xiaoyu | 18–28 | 39.13% |
| nLshhh vs Victor | 19–23 | 45.24% |
| nLshhh vs Raven | 24–17 | 58.54% |
| nLshhh vs Leroy | 24–11 | 68.57% |
| nLshhh vs Jack-8 | 17–16 | 51.52% |
| nLshhh vs Devil Jin | 16–16 | 50.00% |
| nLshhh vs Claudio | 16–16 | 50.00% |
| nLshhh vs Armor King | 19–9 | 67.86% |
| nLshhh vs Kuma | 14–7 | 66.67% |
| nLshhh vs Clive | 10–11 | 47.62% |
| nLshhh vs Fahkumram | 9–12 | 42.86% |
| nLshhh vs Zafina | 12–6 | 66.67% |
| nLshhh vs Anna | 6–8 | 42.86% |
| nLshhh vs Shaheen | 4–9 | 30.77% |
| nLshhh vs Miary Zo | 4–5 | 44.44% |
| nLshhh vs Panda | 3–2 | 60.00% |
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.