| Hugl3ss Shenzi vs Kazuya | 40–25 | 61.54% |
| Hugl3ss Shenzi vs Jin | 34–27 | 55.74% |
| Hugl3ss Shenzi vs Heihachi | 33–16 | 67.35% |
| Hugl3ss Shenzi vs King | 27–21 | 56.25% |
| Hugl3ss Shenzi vs Bryan | 19–15 | 55.88% |
| Hugl3ss Shenzi vs Dragunov | 15–13 | 53.57% |
| Hugl3ss Shenzi vs Steve | 13–13 | 50.00% |
| Hugl3ss Shenzi vs Lee | 11–12 | 47.83% |
| Hugl3ss Shenzi vs Clive | 12–8 | 60.00% |
| Hugl3ss Shenzi vs Paul | 7–12 | 36.84% |
| Hugl3ss Shenzi vs Yoshimitsu | 6–12 | 33.33% |
| Hugl3ss Shenzi vs Hwoarang | 7–6 | 53.85% |
| Hugl3ss Shenzi vs Devil Jin | 6–7 | 46.15% |
| Hugl3ss Shenzi vs Lars | 2–10 | 16.67% |
| Hugl3ss Shenzi vs Reina | 5–5 | 50.00% |
| Hugl3ss Shenzi vs Law | 2–7 | 22.22% |
| Hugl3ss Shenzi vs Feng | 4–4 | 50.00% |
| Hugl3ss Shenzi vs Lili | 2–6 | 25.00% |
| Hugl3ss Shenzi vs Alisa | 5–3 | 62.50% |
| Hugl3ss Shenzi vs Eddy | 8–0 | 100.00% |
| Hugl3ss Shenzi vs Claudio | 3–4 | 42.86% |
| Hugl3ss Shenzi vs Azucena | 6–1 | 85.71% |
| Hugl3ss Shenzi vs Victor | 5–1 | 83.33% |
| Hugl3ss Shenzi vs Lidia | 3–3 | 50.00% |
| Hugl3ss Shenzi vs Panda | 2–3 | 40.00% |
| Hugl3ss Shenzi vs Asuka | 2–2 | 50.00% |
| Hugl3ss Shenzi vs Leo | 3–1 | 75.00% |
| Hugl3ss Shenzi vs Nina | 2–2 | 50.00% |
| Hugl3ss Shenzi vs Xiaoyu | 3–0 | 100.00% |
| Hugl3ss Shenzi vs Jack-8 | 2–1 | 66.67% |
| Hugl3ss Shenzi vs Raven | 1–2 | 33.33% |
| Hugl3ss Shenzi vs Zafina | 0–2 | 0.00% |
| Hugl3ss Shenzi vs Armor King | 2–0 | 100.00% |
| Hugl3ss Shenzi vs Anna | 0–1 | 0.00% |
| Hugl3ss Shenzi vs Fahkumram | 1–0 | 100.00% |
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.