| Kingdawift2 vs King | 35–14 | 71.43% |
| Kingdawift2 vs Steve | 30–9 | 76.92% |
| Kingdawift2 vs Armor King | 30–7 | 81.08% |
| Kingdawift2 vs Law | 16–18 | 47.06% |
| Kingdawift2 vs Jin | 19–14 | 57.58% |
| Kingdawift2 vs Lili | 23–10 | 69.70% |
| Kingdawift2 vs Reina | 19–9 | 67.86% |
| Kingdawift2 vs Kazuya | 16–9 | 64.00% |
| Kingdawift2 vs Miary Zo | 13–11 | 54.17% |
| Kingdawift2 vs Hwoarang | 10–12 | 45.45% |
| Kingdawift2 vs Bryan | 8–14 | 36.36% |
| Kingdawift2 vs Dragunov | 7–11 | 38.89% |
| Kingdawift2 vs Azucena | 14–4 | 77.78% |
| Kingdawift2 vs Eddy | 11–7 | 61.11% |
| Kingdawift2 vs Jun | 9–7 | 56.25% |
| Kingdawift2 vs Lidia | 9–7 | 56.25% |
| Kingdawift2 vs Fahkumram | 5–11 | 31.25% |
| Kingdawift2 vs Leroy | 12–2 | 85.71% |
| Kingdawift2 vs Heihachi | 7–6 | 53.85% |
| Kingdawift2 vs Devil Jin | 5–4 | 55.56% |
| Kingdawift2 vs Leo | 6–3 | 66.67% |
| Kingdawift2 vs Victor | 5–4 | 55.56% |
| Kingdawift2 vs Anna | 6–3 | 66.67% |
| Kingdawift2 vs Xiaoyu | 5–3 | 62.50% |
| Kingdawift2 vs Asuka | 6–2 | 75.00% |
| Kingdawift2 vs Alisa | 6–2 | 75.00% |
| Kingdawift2 vs Nina | 5–3 | 62.50% |
| Kingdawift2 vs Lee | 3–4 | 42.86% |
| Kingdawift2 vs Zafina | 4–3 | 57.14% |
| Kingdawift2 vs Paul | 1–5 | 16.67% |
| Kingdawift2 vs Feng | 4–2 | 66.67% |
| Kingdawift2 vs Yoshimitsu | 4–1 | 80.00% |
| Kingdawift2 vs Lars | 2–2 | 50.00% |
| Kingdawift2 vs Kuma | 1–3 | 25.00% |
| Kingdawift2 vs Clive | 2–1 | 66.67% |
| Kingdawift2 vs Jack-8 | 1–1 | 50.00% |
| Kingdawift2 vs Shaheen | 2–0 | 100.00% |
| Kingdawift2 vs Raven | 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.