| LtHusky vs Jin | 105–112 | 48.39% |
| LtHusky vs Bryan | 103–100 | 50.74% |
| LtHusky vs Dragunov | 95–73 | 56.55% |
| LtHusky vs Lars | 94–66 | 58.75% |
| LtHusky vs Hwoarang | 89–70 | 55.97% |
| LtHusky vs Kazuya | 89–67 | 57.05% |
| LtHusky vs Steve | 90–65 | 58.06% |
| LtHusky vs Reina | 88–63 | 58.28% |
| LtHusky vs Asuka | 74–71 | 51.03% |
| LtHusky vs King | 71–66 | 51.82% |
| LtHusky vs Yoshimitsu | 52–83 | 38.52% |
| LtHusky vs Lee | 73–61 | 54.48% |
| LtHusky vs Heihachi | 77–50 | 60.63% |
| LtHusky vs Lili | 57–67 | 45.97% |
| LtHusky vs Jun | 69–52 | 57.02% |
| LtHusky vs Paul | 56–59 | 48.70% |
| LtHusky vs Azucena | 71–43 | 62.28% |
| LtHusky vs Raven | 50–62 | 44.64% |
| LtHusky vs Law | 54–53 | 50.47% |
| LtHusky vs Eddy | 46–60 | 43.40% |
| LtHusky vs Zafina | 62–39 | 61.39% |
| LtHusky vs Victor | 57–40 | 58.76% |
| LtHusky vs Jack-8 | 54–41 | 56.84% |
| LtHusky vs Leroy | 42–46 | 47.73% |
| LtHusky vs Xiaoyu | 41–43 | 48.81% |
| LtHusky vs Leo | 52–28 | 65.00% |
| LtHusky vs Fahkumram | 41–35 | 53.95% |
| LtHusky vs Kuma | 26–47 | 35.62% |
| LtHusky vs Clive | 38–34 | 52.78% |
| LtHusky vs Nina | 40–26 | 60.61% |
| LtHusky vs Devil Jin | 37–27 | 57.81% |
| LtHusky vs Feng | 26–38 | 40.62% |
| LtHusky vs Shaheen | 36–28 | 56.25% |
| LtHusky vs Alisa | 30–29 | 50.85% |
| LtHusky vs Lidia | 34–25 | 57.63% |
| LtHusky vs Claudio | 42–15 | 73.68% |
| LtHusky vs Miary Zo | 16–19 | 45.71% |
| LtHusky vs Anna | 14–12 | 53.85% |
| LtHusky vs Armor King | 11–7 | 61.11% |
| LtHusky vs Panda | 8–8 | 50.00% |
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.