| Shenron_LD vs Jin | 10–9 | 52.63% |
| Shenron_LD vs Reina | 14–2 | 87.50% |
| Shenron_LD vs King | 11–3 | 78.57% |
| Shenron_LD vs Kazuya | 12–2 | 85.71% |
| Shenron_LD vs Law | 7–5 | 58.33% |
| Shenron_LD vs Steve | 7–3 | 70.00% |
| Shenron_LD vs Eddy | 5–4 | 55.56% |
| Shenron_LD vs Hwoarang | 3–5 | 37.50% |
| Shenron_LD vs Lili | 4–4 | 50.00% |
| Shenron_LD vs Yoshimitsu | 4–2 | 66.67% |
| Shenron_LD vs Asuka | 5–1 | 83.33% |
| Shenron_LD vs Azucena | 4–2 | 66.67% |
| Shenron_LD vs Heihachi | 3–3 | 50.00% |
| Shenron_LD vs Nina | 2–3 | 40.00% |
| Shenron_LD vs Lee | 4–1 | 80.00% |
| Shenron_LD vs Jun | 4–1 | 80.00% |
| Shenron_LD vs Raven | 3–2 | 60.00% |
| Shenron_LD vs Bryan | 2–2 | 50.00% |
| Shenron_LD vs Lars | 2–2 | 50.00% |
| Shenron_LD vs Lidia | 1–3 | 25.00% |
| Shenron_LD vs Clive | 1–3 | 25.00% |
| Shenron_LD vs Devil Jin | 1–2 | 33.33% |
| Shenron_LD vs Alisa | 2–1 | 66.67% |
| Shenron_LD vs Kuma | 2–1 | 66.67% |
| Shenron_LD vs Leroy | 1–2 | 33.33% |
| Shenron_LD vs Paul | 2–0 | 100.00% |
| Shenron_LD vs Xiaoyu | 2–0 | 100.00% |
| Shenron_LD vs Dragunov | 0–2 | 0.00% |
| Shenron_LD vs Claudio | 2–0 | 100.00% |
| Shenron_LD vs Victor | 0–2 | 0.00% |
| Shenron_LD vs Jack-8 | 1–0 | 100.00% |
| Shenron_LD vs Leo | 0–1 | 0.00% |
| Shenron_LD vs Panda | 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.