| Andr00h vs Kazuya | 249–274 | 47.61% |
| Andr00h vs Jin | 195–232 | 45.67% |
| Andr00h vs King | 173–185 | 48.32% |
| Andr00h vs Bryan | 138–194 | 41.57% |
| Andr00h vs Reina | 147–163 | 47.42% |
| Andr00h vs Hwoarang | 134–163 | 45.12% |
| Andr00h vs Steve | 138–139 | 49.82% |
| Andr00h vs Law | 130–126 | 50.78% |
| Andr00h vs Yoshimitsu | 92–138 | 40.00% |
| Andr00h vs Heihachi | 104–125 | 45.41% |
| Andr00h vs Dragunov | 103–106 | 49.28% |
| Andr00h vs Paul | 81–111 | 42.19% |
| Andr00h vs Lili | 85–105 | 44.74% |
| Andr00h vs Jun | 61–93 | 39.61% |
| Andr00h vs Devil Jin | 50–96 | 34.25% |
| Andr00h vs Clive | 54–84 | 39.13% |
| Andr00h vs Feng | 53–82–1 | 39.26% |
| Andr00h vs Lars | 46–84 | 35.38% |
| Andr00h vs Azucena | 62–68 | 47.69% |
| Andr00h vs Victor | 43–81 | 34.68% |
| Andr00h vs Lee | 49–71 | 40.83% |
| Andr00h vs Lidia | 52–68 | 43.33% |
| Andr00h vs Nina | 57–58 | 49.57% |
| Andr00h vs Armor King | 41–72 | 36.28% |
| Andr00h vs Asuka | 53–55 | 49.07% |
| Andr00h vs Eddy | 51–48 | 51.52% |
| Andr00h vs Xiaoyu | 32–53 | 37.65% |
| Andr00h vs Claudio | 25–58 | 30.12% |
| Andr00h vs Alisa | 29–48 | 37.66% |
| Andr00h vs Leroy | 38–36 | 51.35% |
| Andr00h vs Raven | 27–35 | 43.55% |
| Andr00h vs Jack-8 | 28–27 | 50.91% |
| Andr00h vs Anna | 19–35 | 35.19% |
| Andr00h vs Kuma | 15–31 | 32.61% |
| Andr00h vs Leo | 22–15 | 59.46% |
| Andr00h vs Zafina | 12–20 | 37.50% |
| Andr00h vs Shaheen | 8–20 | 28.57% |
| Andr00h vs Fahkumram | 13–14 | 48.15% |
| Andr00h vs Panda | 5–10 | 33.33% |
| Andr00h vs Miary Zo | 3–3 | 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.