| ZacLikesBikes vs Law | 29–8 | 78.38% |
| ZacLikesBikes vs Jin | 25–9 | 73.53% |
| ZacLikesBikes vs Hwoarang | 25–8 | 75.76% |
| ZacLikesBikes vs King | 22–10 | 68.75% |
| ZacLikesBikes vs Kazuya | 24–8 | 75.00% |
| ZacLikesBikes vs Steve | 15–14 | 51.72% |
| ZacLikesBikes vs Reina | 16–10 | 61.54% |
| ZacLikesBikes vs Dragunov | 13–9 | 59.09% |
| ZacLikesBikes vs Heihachi | 17–4 | 80.95% |
| ZacLikesBikes vs Paul | 11–9 | 55.00% |
| ZacLikesBikes vs Lili | 11–8 | 57.89% |
| ZacLikesBikes vs Bryan | 13–4 | 76.47% |
| ZacLikesBikes vs Yoshimitsu | 11–5 | 68.75% |
| ZacLikesBikes vs Asuka | 11–5 | 68.75% |
| ZacLikesBikes vs Lee | 9–6 | 60.00% |
| ZacLikesBikes vs Jun | 7–7 | 50.00% |
| ZacLikesBikes vs Kuma | 7–6 | 53.85% |
| ZacLikesBikes vs Clive | 11–2 | 84.62% |
| ZacLikesBikes vs Anna | 7–5 | 58.33% |
| ZacLikesBikes vs Xiaoyu | 9–1 | 90.00% |
| ZacLikesBikes vs Devil Jin | 7–3 | 70.00% |
| ZacLikesBikes vs Azucena | 7–3 | 70.00% |
| ZacLikesBikes vs Alisa | 1–8 | 11.11% |
| ZacLikesBikes vs Shaheen | 5–3 | 62.50% |
| ZacLikesBikes vs Raven | 5–3 | 62.50% |
| ZacLikesBikes vs Lidia | 5–3 | 62.50% |
| ZacLikesBikes vs Jack-8 | 4–3 | 57.14% |
| ZacLikesBikes vs Leo | 4–3 | 57.14% |
| ZacLikesBikes vs Nina | 6–1 | 85.71% |
| ZacLikesBikes vs Armor King | 4–2 | 66.67% |
| ZacLikesBikes vs Feng | 3–2 | 60.00% |
| ZacLikesBikes vs Lars | 3–2 | 60.00% |
| ZacLikesBikes vs Claudio | 2–3 | 40.00% |
| ZacLikesBikes vs Zafina | 2–2 | 50.00% |
| ZacLikesBikes vs Leroy | 4–0 | 100.00% |
| ZacLikesBikes vs Eddy | 2–2 | 50.00% |
| ZacLikesBikes vs Victor | 3–0 | 100.00% |
| ZacLikesBikes vs Fahkumram | 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.