| helloworld vs Reina | 74–51 | 59.20% |
| helloworld vs Kazuya | 64–56 | 53.33% |
| helloworld vs Jin | 56–62 | 47.46% |
| helloworld vs King | 63–37 | 63.00% |
| helloworld vs Bryan | 49–38 | 56.32% |
| helloworld vs Law | 36–46 | 43.90% |
| helloworld vs Lili | 28–41 | 40.58% |
| helloworld vs Yoshimitsu | 21–45 | 31.82% |
| helloworld vs Jun | 41–19 | 68.33% |
| helloworld vs Hwoarang | 29–30 | 49.15% |
| helloworld vs Heihachi | 32–23 | 58.18% |
| helloworld vs Steve | 32–22 | 59.26% |
| helloworld vs Azucena | 32–18 | 64.00% |
| helloworld vs Lee | 20–29 | 40.82% |
| helloworld vs Dragunov | 24–23 | 51.06% |
| helloworld vs Victor | 25–22 | 53.19% |
| helloworld vs Paul | 19–24 | 44.19% |
| helloworld vs Lidia | 24–19 | 55.81% |
| helloworld vs Lars | 15–25 | 37.50% |
| helloworld vs Claudio | 18–13 | 58.06% |
| helloworld vs Nina | 9–22 | 29.03% |
| helloworld vs Devil Jin | 14–15 | 48.28% |
| helloworld vs Eddy | 11–18 | 37.93% |
| helloworld vs Asuka | 8–20 | 28.57% |
| helloworld vs Leroy | 10–17 | 37.04% |
| helloworld vs Clive | 10–15 | 40.00% |
| helloworld vs Xiaoyu | 12–12 | 50.00% |
| helloworld vs Feng | 17–7 | 70.83% |
| helloworld vs Kuma | 7–14 | 33.33% |
| helloworld vs Leo | 9–11 | 45.00% |
| helloworld vs Alisa | 8–12 | 40.00% |
| helloworld vs Zafina | 6–14 | 30.00% |
| helloworld vs Jack-8 | 11–7 | 61.11% |
| helloworld vs Panda | 6–11 | 35.29% |
| helloworld vs Raven | 8–6 | 57.14% |
| helloworld vs Fahkumram | 4–2 | 66.67% |
| helloworld vs Shaheen | 3–2 | 60.00% |
| helloworld vs Anna | 2–0 | 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.