| Shaardy vs Armor King | 37–30 | 55.22% |
| Shaardy vs King | 32–12 | 72.73% |
| Shaardy vs Kazuya | 24–13 | 64.86% |
| Shaardy vs Jin | 25–11 | 69.44% |
| Shaardy vs Hwoarang | 20–13 | 60.61% |
| Shaardy vs Paul | 22–10 | 68.75% |
| Shaardy vs Steve | 11–14 | 44.00% |
| Shaardy vs Dragunov | 16–7 | 69.57% |
| Shaardy vs Law | 14–8 | 63.64% |
| Shaardy vs Bryan | 16–4 | 80.00% |
| Shaardy vs Nina | 9–9 | 50.00% |
| Shaardy vs Reina | 15–3 | 83.33% |
| Shaardy vs Devil Jin | 9–7 | 56.25% |
| Shaardy vs Feng | 10–6 | 62.50% |
| Shaardy vs Claudio | 7–9 | 43.75% |
| Shaardy vs Zafina | 8–4 | 66.67% |
| Shaardy vs Yoshimitsu | 7–3 | 70.00% |
| Shaardy vs Heihachi | 8–2 | 80.00% |
| Shaardy vs Lili | 7–2 | 77.78% |
| Shaardy vs Jun | 6–3 | 66.67% |
| Shaardy vs Anna | 9–0 | 100.00% |
| Shaardy vs Alisa | 1–4 | 20.00% |
| Shaardy vs Lee | 4–1 | 80.00% |
| Shaardy vs Asuka | 4–0 | 100.00% |
| Shaardy vs Azucena | 2–2 | 50.00% |
| Shaardy vs Leo | 2–1 | 66.67% |
| Shaardy vs Victor | 3–0 | 100.00% |
| Shaardy vs Eddy | 2–1 | 66.67% |
| Shaardy vs Lidia | 2–1 | 66.67% |
| Shaardy vs Fahkumram | 2–1 | 66.67% |
| Shaardy vs Xiaoyu | 2–0 | 100.00% |
| Shaardy vs Lars | 1–1 | 50.00% |
| Shaardy vs Shaheen | 1–1 | 50.00% |
| Shaardy vs Leroy | 2–0 | 100.00% |
| Shaardy vs Miary Zo | 0–2 | 0.00% |
| Shaardy vs Clive | 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.