| KingArkTTV vs Reina | 10–17 | 37.04% |
| KingArkTTV vs Law | 6–9 | 40.00% |
| KingArkTTV vs Hwoarang | 5–10 | 33.33% |
| KingArkTTV vs Lili | 10–5 | 66.67% |
| KingArkTTV vs Eddy | 4–11 | 26.67% |
| KingArkTTV vs Xiaoyu | 3–9 | 25.00% |
| KingArkTTV vs Asuka | 5–7 | 41.67% |
| KingArkTTV vs Jin | 5–6 | 45.45% |
| KingArkTTV vs Bryan | 4–6 | 40.00% |
| KingArkTTV vs Steve | 6–4 | 60.00% |
| KingArkTTV vs Leroy | 4–6 | 40.00% |
| KingArkTTV vs Paul | 5–4 | 55.56% |
| KingArkTTV vs Azucena | 6–3 | 66.67% |
| KingArkTTV vs Kazuya | 3–5 | 37.50% |
| KingArkTTV vs Leo | 2–6 | 25.00% |
| KingArkTTV vs Nina | 3–5 | 37.50% |
| KingArkTTV vs Victor | 4–4 | 50.00% |
| KingArkTTV vs Clive | 4–4 | 50.00% |
| KingArkTTV vs Jack-8 | 3–4 | 42.86% |
| KingArkTTV vs Alisa | 2–5 | 28.57% |
| KingArkTTV vs Heihachi | 1–6 | 14.29% |
| KingArkTTV vs King | 2–4 | 33.33% |
| KingArkTTV vs Yoshimitsu | 4–2 | 66.67% |
| KingArkTTV vs Dragunov | 2–4 | 33.33% |
| KingArkTTV vs Lars | 3–3 | 50.00% |
| KingArkTTV vs Lidia | 0–6 | 0.00% |
| KingArkTTV vs Claudio | 3–2 | 60.00% |
| KingArkTTV vs Lee | 3–2 | 60.00% |
| KingArkTTV vs Jun | 2–3 | 40.00% |
| KingArkTTV vs Devil Jin | 1–2 | 33.33% |
| KingArkTTV vs Shaheen | 1–1 | 50.00% |
| KingArkTTV vs Panda | 2–0 | 100.00% |
| KingArkTTV vs Anna | 0–2 | 0.00% |
| KingArkTTV vs Feng | 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.