| HAPPY_HOUR vs King | 16–6 | 72.73% |
| HAPPY_HOUR vs Jin | 14–7 | 66.67% |
| HAPPY_HOUR vs Hwoarang | 14–4 | 77.78% |
| HAPPY_HOUR vs Paul | 16–1 | 94.12% |
| HAPPY_HOUR vs Dragunov | 13–4 | 76.47% |
| HAPPY_HOUR vs Lili | 7–5 | 58.33% |
| HAPPY_HOUR vs Bryan | 8–3 | 72.73% |
| HAPPY_HOUR vs Kazuya | 10–1 | 90.91% |
| HAPPY_HOUR vs Steve | 5–5 | 50.00% |
| HAPPY_HOUR vs Xiaoyu | 3–4 | 42.86% |
| HAPPY_HOUR vs Asuka | 6–1 | 85.71% |
| HAPPY_HOUR vs Reina | 3–4 | 42.86% |
| HAPPY_HOUR vs Heihachi | 6–1 | 85.71% |
| HAPPY_HOUR vs Yoshimitsu | 3–2 | 60.00% |
| HAPPY_HOUR vs Alisa | 3–2 | 60.00% |
| HAPPY_HOUR vs Lidia | 4–1 | 80.00% |
| HAPPY_HOUR vs Lee | 4–0 | 100.00% |
| HAPPY_HOUR vs Eddy | 4–0 | 100.00% |
| HAPPY_HOUR vs Clive | 2–2 | 50.00% |
| HAPPY_HOUR vs Law | 3–0 | 100.00% |
| HAPPY_HOUR vs Jack-8 | 2–1 | 66.67% |
| HAPPY_HOUR vs Devil Jin | 3–0 | 100.00% |
| HAPPY_HOUR vs Nina | 1–2 | 33.33% |
| HAPPY_HOUR vs Shaheen | 0–2 | 0.00% |
| HAPPY_HOUR vs Jun | 2–0 | 100.00% |
| HAPPY_HOUR vs Azucena | 2–0 | 100.00% |
| HAPPY_HOUR vs Fahkumram | 2–0 | 100.00% |
| HAPPY_HOUR vs Lars | 1–0 | 100.00% |
| HAPPY_HOUR vs Claudio | 1–0 | 100.00% |
| HAPPY_HOUR vs Panda | 1–0 | 100.00% |
| HAPPY_HOUR vs Zafina | 1–0 | 100.00% |
| HAPPY_HOUR vs Victor | 1–0 | 100.00% |
| HAPPY_HOUR vs Armor King | 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.