| Bubbleboong vs Heihachi | 37–22 | 62.71% |
| Bubbleboong vs Kazuya | 30–15 | 66.67% |
| Bubbleboong vs Jin | 30–10 | 75.00% |
| Bubbleboong vs Dragunov | 25–10 | 71.43% |
| Bubbleboong vs Bryan | 25–8 | 75.76% |
| Bubbleboong vs Paul | 21–6 | 77.78% |
| Bubbleboong vs Reina | 19–8 | 70.37% |
| Bubbleboong vs Asuka | 13–9 | 59.09% |
| Bubbleboong vs King | 13–8 | 61.90% |
| Bubbleboong vs Lili | 13–8 | 61.90% |
| Bubbleboong vs Armor King | 17–4 | 80.95% |
| Bubbleboong vs Steve | 15–5 | 75.00% |
| Bubbleboong vs Azucena | 13–5 | 72.22% |
| Bubbleboong vs Fahkumram | 12–6 | 66.67% |
| Bubbleboong vs Devil Jin | 12–5 | 70.59% |
| Bubbleboong vs Claudio | 8–9 | 47.06% |
| Bubbleboong vs Lars | 11–5 | 68.75% |
| Bubbleboong vs Hwoarang | 10–5 | 66.67% |
| Bubbleboong vs Law | 9–5 | 64.29% |
| Bubbleboong vs Yoshimitsu | 8–6 | 57.14% |
| Bubbleboong vs Leroy | 7–7 | 50.00% |
| Bubbleboong vs Victor | 11–2 | 84.62% |
| Bubbleboong vs Jack-8 | 8–4 | 66.67% |
| Bubbleboong vs Shaheen | 5–6 | 45.45% |
| Bubbleboong vs Jun | 10–1 | 90.91% |
| Bubbleboong vs Clive | 8–3 | 72.73% |
| Bubbleboong vs Leo | 5–4 | 55.56% |
| Bubbleboong vs Anna | 8–1 | 88.89% |
| Bubbleboong vs Kuma | 7–1 | 87.50% |
| Bubbleboong vs Xiaoyu | 7–0 | 100.00% |
| Bubbleboong vs Feng | 5–2 | 71.43% |
| Bubbleboong vs Alisa | 4–3 | 57.14% |
| Bubbleboong vs Eddy | 6–1 | 85.71% |
| Bubbleboong vs Nina | 5–1 | 83.33% |
| Bubbleboong vs Lidia | 4–2 | 66.67% |
| Bubbleboong vs Lee | 3–1 | 75.00% |
| Bubbleboong vs Raven | 4–0 | 100.00% |
| Bubbleboong vs Zafina | 1–1 | 50.00% |
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.