| Big_steppa_35 vs Steve | 21–23 | 47.73% |
| Big_steppa_35 vs King | 12–24 | 33.33% |
| Big_steppa_35 vs Jin | 6–25 | 19.35% |
| Big_steppa_35 vs Law | 5–19 | 20.83% |
| Big_steppa_35 vs Kazuya | 6–18 | 25.00% |
| Big_steppa_35 vs Azucena | 6–16 | 27.27% |
| Big_steppa_35 vs Lili | 12–9 | 57.14% |
| Big_steppa_35 vs Armor King | 8–13 | 38.10% |
| Big_steppa_35 vs Bryan | 4–15 | 21.05% |
| Big_steppa_35 vs Eddy | 3–16 | 15.79% |
| Big_steppa_35 vs Miary Zo | 5–14 | 26.32% |
| Big_steppa_35 vs Yoshimitsu | 10–8 | 55.56% |
| Big_steppa_35 vs Lars | 1–15 | 6.25% |
| Big_steppa_35 vs Jun | 3–12 | 20.00% |
| Big_steppa_35 vs Asuka | 2–12 | 14.29% |
| Big_steppa_35 vs Reina | 4–10 | 28.57% |
| Big_steppa_35 vs Hwoarang | 7–6 | 53.85% |
| Big_steppa_35 vs Lee | 3–8 | 27.27% |
| Big_steppa_35 vs Heihachi | 2–9 | 18.18% |
| Big_steppa_35 vs Dragunov | 4–6 | 40.00% |
| Big_steppa_35 vs Paul | 6–3 | 66.67% |
| Big_steppa_35 vs Nina | 2–6 | 25.00% |
| Big_steppa_35 vs Feng | 2–5 | 28.57% |
| Big_steppa_35 vs Alisa | 4–3 | 57.14% |
| Big_steppa_35 vs Lidia | 1–6 | 14.29% |
| Big_steppa_35 vs Jack-8 | 1–5 | 16.67% |
| Big_steppa_35 vs Leo | 3–3 | 50.00% |
| Big_steppa_35 vs Kuma | 1–5 | 16.67% |
| Big_steppa_35 vs Victor | 1–5 | 16.67% |
| Big_steppa_35 vs Shaheen | 2–3 | 40.00% |
| Big_steppa_35 vs Anna | 0–5 | 0.00% |
| Big_steppa_35 vs Fahkumram | 0–4 | 0.00% |
| Big_steppa_35 vs Xiaoyu | 2–1 | 66.67% |
| Big_steppa_35 vs Claudio | 2–1 | 66.67% |
| Big_steppa_35 vs Clive | 1–2 | 33.33% |
| Big_steppa_35 vs Panda | 0–2 | 0.00% |
| Big_steppa_35 vs Zafina | 2–0 | 100.00% |
| Big_steppa_35 vs Devil Jin | 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.