| TEKKENDicSword vs Law | 11–17 | 39.29% |
| TEKKENDicSword vs King | 7–16 | 30.43% |
| TEKKENDicSword vs Reina | 10–12 | 45.45% |
| TEKKENDicSword vs Jin | 6–12 | 33.33% |
| TEKKENDicSword vs Steve | 7–10 | 41.18% |
| TEKKENDicSword vs Lili | 7–7 | 50.00% |
| TEKKENDicSword vs Bryan | 1–12 | 7.69% |
| TEKKENDicSword vs Hwoarang | 2–10 | 16.67% |
| TEKKENDicSword vs Anna | 3–9 | 25.00% |
| TEKKENDicSword vs Kazuya | 2–9 | 18.18% |
| TEKKENDicSword vs Lars | 2–7 | 22.22% |
| TEKKENDicSword vs Victor | 3–6 | 33.33% |
| TEKKENDicSword vs Raven | 5–4 | 55.56% |
| TEKKENDicSword vs Asuka | 2–6 | 25.00% |
| TEKKENDicSword vs Leroy | 4–4 | 50.00% |
| TEKKENDicSword vs Lidia | 2–6 | 25.00% |
| TEKKENDicSword vs Shaheen | 3–4 | 42.86% |
| TEKKENDicSword vs Azucena | 3–4 | 42.86% |
| TEKKENDicSword vs Clive | 2–5 | 28.57% |
| TEKKENDicSword vs Lee | 3–3 | 50.00% |
| TEKKENDicSword vs Heihachi | 2–4 | 33.33% |
| TEKKENDicSword vs Xiaoyu | 3–2 | 60.00% |
| TEKKENDicSword vs Panda | 3–2 | 60.00% |
| TEKKENDicSword vs Paul | 0–4 | 0.00% |
| TEKKENDicSword vs Jack-8 | 2–2 | 50.00% |
| TEKKENDicSword vs Alisa | 2–2 | 50.00% |
| TEKKENDicSword vs Claudio | 0–4 | 0.00% |
| TEKKENDicSword vs Nina | 1–3 | 25.00% |
| TEKKENDicSword vs Zafina | 1–3 | 25.00% |
| TEKKENDicSword vs Fahkumram | 2–2 | 50.00% |
| TEKKENDicSword vs Leo | 1–2 | 33.33% |
| TEKKENDicSword vs Kuma | 0–3 | 0.00% |
| TEKKENDicSword vs Yoshimitsu | 0–2 | 0.00% |
| TEKKENDicSword vs Devil Jin | 0–2 | 0.00% |
| TEKKENDicSword vs Jun | 1–0 | 100.00% |
| TEKKENDicSword vs Eddy | 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.