| Killerangel vs King | 29–24 | 54.72% |
| Killerangel vs Steve | 35–18 | 66.04% |
| Killerangel vs Law | 32–19 | 62.75% |
| Killerangel vs Reina | 18–25 | 41.86% |
| Killerangel vs Kazuya | 21–20 | 51.22% |
| Killerangel vs Jin | 23–17 | 57.50% |
| Killerangel vs Hwoarang | 17–19 | 47.22% |
| Killerangel vs Heihachi | 13–16 | 44.83% |
| Killerangel vs Bryan | 15–12 | 55.56% |
| Killerangel vs Armor King | 15–12 | 55.56% |
| Killerangel vs Asuka | 8–14 | 36.36% |
| Killerangel vs Lili | 11–9 | 55.00% |
| Killerangel vs Eddy | 7–13 | 35.00% |
| Killerangel vs Nina | 9–10 | 47.37% |
| Killerangel vs Yoshimitsu | 10–6 | 62.50% |
| Killerangel vs Dragunov | 6–10 | 37.50% |
| Killerangel vs Jun | 6–9 | 40.00% |
| Killerangel vs Paul | 6–7 | 46.15% |
| Killerangel vs Clive | 6–7 | 46.15% |
| Killerangel vs Anna | 3–9 | 25.00% |
| Killerangel vs Lidia | 9–2 | 81.82% |
| Killerangel vs Jack-8 | 5–4 | 55.56% |
| Killerangel vs Devil Jin | 5–4 | 55.56% |
| Killerangel vs Victor | 4–5 | 44.44% |
| Killerangel vs Xiaoyu | 4–4 | 50.00% |
| Killerangel vs Fahkumram | 6–2 | 75.00% |
| Killerangel vs Feng | 0–7 | 0.00% |
| Killerangel vs Lee | 2–5 | 28.57% |
| Killerangel vs Kuma | 4–3 | 57.14% |
| Killerangel vs Zafina | 5–2 | 71.43% |
| Killerangel vs Leo | 3–3 | 50.00% |
| Killerangel vs Raven | 4–2 | 66.67% |
| Killerangel vs Azucena | 2–3 | 40.00% |
| Killerangel vs Lars | 0–3 | 0.00% |
| Killerangel vs Miary Zo | 1–2 | 33.33% |
| Killerangel vs Alisa | 2–0 | 100.00% |
| Killerangel vs Panda | 0–1 | 0.00% |
| Killerangel vs Leroy | 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.