| Kingblayne vs King | 23–29 | 44.23% |
| Kingblayne vs Armor King | 18–24 | 42.86% |
| Kingblayne vs Steve | 13–15 | 46.43% |
| Kingblayne vs Clive | 12–15 | 44.44% |
| Kingblayne vs Reina | 5–20 | 20.00% |
| Kingblayne vs Law | 9–13 | 40.91% |
| Kingblayne vs Jin | 7–15 | 31.82% |
| Kingblayne vs Bryan | 10–10 | 50.00% |
| Kingblayne vs Jun | 12–8 | 60.00% |
| Kingblayne vs Eddy | 5–13 | 27.78% |
| Kingblayne vs Kazuya | 4–13 | 23.53% |
| Kingblayne vs Dragunov | 5–10 | 33.33% |
| Kingblayne vs Victor | 3–12 | 20.00% |
| Kingblayne vs Hwoarang | 7–7 | 50.00% |
| Kingblayne vs Azucena | 6–7 | 46.15% |
| Kingblayne vs Heihachi | 5–7 | 41.67% |
| Kingblayne vs Fahkumram | 3–9 | 25.00% |
| Kingblayne vs Yoshimitsu | 6–5 | 54.55% |
| Kingblayne vs Asuka | 6–4 | 60.00% |
| Kingblayne vs Jack-8 | 5–4 | 55.56% |
| Kingblayne vs Shaheen | 5–4 | 55.56% |
| Kingblayne vs Anna | 3–6 | 33.33% |
| Kingblayne vs Lee | 3–5 | 37.50% |
| Kingblayne vs Xiaoyu | 3–4 | 42.86% |
| Kingblayne vs Leo | 3–4 | 42.86% |
| Kingblayne vs Nina | 3–4 | 42.86% |
| Kingblayne vs Leroy | 3–4 | 42.86% |
| Kingblayne vs Feng | 0–6 | 0.00% |
| Kingblayne vs Lili | 0–6 | 0.00% |
| Kingblayne vs Paul | 2–3 | 40.00% |
| Kingblayne vs Devil Jin | 2–3 | 40.00% |
| Kingblayne vs Lars | 2–3 | 40.00% |
| Kingblayne vs Lidia | 2–2 | 50.00% |
| Kingblayne vs Miary Zo | 2–2 | 50.00% |
| Kingblayne vs Alisa | 2–1 | 66.67% |
| Kingblayne vs Kuma | 2–1 | 66.67% |
| Kingblayne vs Raven | 1–2 | 33.33% |
| Kingblayne vs Claudio | 0–2 | 0.00% |
| Kingblayne vs Zafina | 2–0 | 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.