| BeamBounty vs King | 14–24 | 36.84% |
| BeamBounty vs Steve | 22–7 | 75.86% |
| BeamBounty vs Kazuya | 13–14 | 48.15% |
| BeamBounty vs Law | 11–10 | 52.38% |
| BeamBounty vs Lili | 10–11 | 47.62% |
| BeamBounty vs Jin | 10–8 | 55.56% |
| BeamBounty vs Bryan | 8–10 | 44.44% |
| BeamBounty vs Reina | 12–4 | 75.00% |
| BeamBounty vs Paul | 8–7 | 53.33% |
| BeamBounty vs Lee | 6–8 | 42.86% |
| BeamBounty vs Devil Jin | 6–7 | 46.15% |
| BeamBounty vs Hwoarang | 7–5 | 58.33% |
| BeamBounty vs Dragunov | 3–9 | 25.00% |
| BeamBounty vs Asuka | 3–7 | 30.00% |
| BeamBounty vs Azucena | 4–6 | 40.00% |
| BeamBounty vs Lars | 5–4 | 55.56% |
| BeamBounty vs Lidia | 6–3 | 66.67% |
| BeamBounty vs Yoshimitsu | 4–4 | 50.00% |
| BeamBounty vs Jack-8 | 3–5 | 37.50% |
| BeamBounty vs Jun | 6–1 | 85.71% |
| BeamBounty vs Victor | 7–0 | 100.00% |
| BeamBounty vs Heihachi | 5–2 | 71.43% |
| BeamBounty vs Feng | 3–2 | 60.00% |
| BeamBounty vs Leo | 3–2 | 60.00% |
| BeamBounty vs Alisa | 3–2 | 60.00% |
| BeamBounty vs Eddy | 3–2 | 60.00% |
| BeamBounty vs Zafina | 3–1 | 75.00% |
| BeamBounty vs Miary Zo | 0–4 | 0.00% |
| BeamBounty vs Xiaoyu | 1–2 | 33.33% |
| BeamBounty vs Armor King | 1–2 | 33.33% |
| BeamBounty vs Nina | 0–2 | 0.00% |
| BeamBounty vs Panda | 1–1 | 50.00% |
| BeamBounty vs Raven | 2–0 | 100.00% |
| BeamBounty vs Clive | 2–0 | 100.00% |
| BeamBounty vs Fahkumram | 2–0 | 100.00% |
| BeamBounty vs Claudio | 1–0 | 100.00% |
| BeamBounty vs Shaheen | 0–1 | 0.00% |
| BeamBounty vs Kuma | 1–0 | 100.00% |
| BeamBounty vs Leroy | 1–0 | 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.