| tacopanQ vs Fahkumram | 44–68 | 39.29% |
| tacopanQ vs Kazuya | 43–60 | 41.75% |
| tacopanQ vs Dragunov | 30–43 | 41.10% |
| tacopanQ vs Bryan | 34–38 | 47.22% |
| tacopanQ vs Reina | 29–39 | 42.65% |
| tacopanQ vs Paul | 28–33 | 45.90% |
| tacopanQ vs Jin | 25–34 | 42.37% |
| tacopanQ vs Lili | 22–34 | 39.29% |
| tacopanQ vs King | 20–32 | 38.46% |
| tacopanQ vs Steve | 20–28 | 41.67% |
| tacopanQ vs Asuka | 15–33 | 31.25% |
| tacopanQ vs Anna | 16–22 | 42.11% |
| tacopanQ vs Xiaoyu | 12–24 | 33.33% |
| tacopanQ vs Law | 10–24 | 29.41% |
| tacopanQ vs Jun | 10–24 | 29.41% |
| tacopanQ vs Heihachi | 14–20 | 41.18% |
| tacopanQ vs Victor | 14–19 | 42.42% |
| tacopanQ vs Devil Jin | 10–22 | 31.25% |
| tacopanQ vs Yoshimitsu | 12–19 | 38.71% |
| tacopanQ vs Hwoarang | 11–18 | 37.93% |
| tacopanQ vs Nina | 13–15 | 46.43% |
| tacopanQ vs Lee | 16–11 | 59.26% |
| tacopanQ vs Azucena | 6–18 | 25.00% |
| tacopanQ vs Lidia | 7–17 | 29.17% |
| tacopanQ vs Feng | 6–17 | 26.09% |
| tacopanQ vs Lars | 6–17 | 26.09% |
| tacopanQ vs Jack-8 | 10–12 | 45.45% |
| tacopanQ vs Alisa | 10–10 | 50.00% |
| tacopanQ vs Claudio | 10–10 | 50.00% |
| tacopanQ vs Panda | 8–6 | 57.14% |
| tacopanQ vs Leroy | 4–10 | 28.57% |
| tacopanQ vs Clive | 5–8 | 38.46% |
| tacopanQ vs Armor King | 4–9 | 30.77% |
| tacopanQ vs Leo | 2–8 | 20.00% |
| tacopanQ vs Shaheen | 2–8 | 20.00% |
| tacopanQ vs Raven | 2–5 | 28.57% |
| tacopanQ vs Zafina | 3–1 | 75.00% |
| tacopanQ vs Eddy | 1–3 | 25.00% |
| tacopanQ vs Kuma | 1–2 | 33.33% |
| tacopanQ vs Miary Zo | 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.