| TheLard vs Bryan | 104–79 | 56.83% |
| TheLard vs Reina | 90–49 | 64.75% |
| TheLard vs Kazuya | 81–55 | 59.56% |
| TheLard vs King | 72–51 | 58.54% |
| TheLard vs Jin | 66–50 | 56.90% |
| TheLard vs Hwoarang | 70–45 | 60.87% |
| TheLard vs Dragunov | 56–57 | 49.56% |
| TheLard vs Heihachi | 55–48 | 53.40% |
| TheLard vs Lee | 64–33 | 65.98% |
| TheLard vs Devil Jin | 51–42 | 54.84% |
| TheLard vs Lidia | 56–36 | 60.87% |
| TheLard vs Paul | 55–35 | 61.11% |
| TheLard vs Lars | 42–42 | 50.00% |
| TheLard vs Asuka | 40–33 | 54.79% |
| TheLard vs Clive | 45–28 | 61.64% |
| TheLard vs Yoshimitsu | 41–31 | 56.94% |
| TheLard vs Law | 43–28 | 60.56% |
| TheLard vs Lili | 38–33 | 53.52% |
| TheLard vs Jun | 40–26 | 60.61% |
| TheLard vs Steve | 43–22 | 66.15% |
| TheLard vs Jack-8 | 25–36 | 40.98% |
| TheLard vs Azucena | 30–29 | 50.85% |
| TheLard vs Armor King | 28–30 | 48.28% |
| TheLard vs Feng | 31–26 | 54.39% |
| TheLard vs Victor | 32–25 | 56.14% |
| TheLard vs Miary Zo | 31–26 | 54.39% |
| TheLard vs Claudio | 23–28 | 45.10% |
| TheLard vs Nina | 24–27 | 47.06% |
| TheLard vs Eddy | 28–21 | 57.14% |
| TheLard vs Leo | 25–19 | 56.82% |
| TheLard vs Xiaoyu | 20–22 | 47.62% |
| TheLard vs Leroy | 27–14 | 65.85% |
| TheLard vs Alisa | 23–12 | 65.71% |
| TheLard vs Raven | 14–18 | 43.75% |
| TheLard vs Zafina | 15–11 | 57.69% |
| TheLard vs Shaheen | 12–8 | 60.00% |
| TheLard vs Panda | 13–6 | 68.42% |
| TheLard vs Fahkumram | 9–8 | 52.94% |
| TheLard vs Anna | 6–10 | 37.50% |
| TheLard vs Kuma | 11–4 | 73.33% |
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.