| S_WICK vs Kazuya | 44–28 | 61.11% |
| S_WICK vs Dragunov | 41–21 | 66.13% |
| S_WICK vs Bryan | 33–25 | 56.90% |
| S_WICK vs Armor King | 36–22 | 62.07% |
| S_WICK vs Paul | 25–23 | 52.08% |
| S_WICK vs Hwoarang | 33–15 | 68.75% |
| S_WICK vs Jin | 30–17 | 63.83% |
| S_WICK vs Victor | 25–17 | 59.52% |
| S_WICK vs Fahkumram | 19–19 | 50.00% |
| S_WICK vs Azucena | 19–18 | 51.35% |
| S_WICK vs King | 15–20 | 42.86% |
| S_WICK vs Reina | 17–16 | 51.52% |
| S_WICK vs Law | 12–17 | 41.38% |
| S_WICK vs Steve | 18–10 | 64.29% |
| S_WICK vs Yoshimitsu | 23–4 | 85.19% |
| S_WICK vs Asuka | 17–10 | 62.96% |
| S_WICK vs Lili | 12–15 | 44.44% |
| S_WICK vs Lee | 9–18 | 33.33% |
| S_WICK vs Jack-8 | 17–6 | 73.91% |
| S_WICK vs Heihachi | 15–8 | 65.22% |
| S_WICK vs Eddy | 7–14 | 33.33% |
| S_WICK vs Xiaoyu | 8–10 | 44.44% |
| S_WICK vs Devil Jin | 10–8 | 55.56% |
| S_WICK vs Lars | 7–10 | 41.18% |
| S_WICK vs Claudio | 12–4 | 75.00% |
| S_WICK vs Kuma | 6–10 | 37.50% |
| S_WICK vs Leo | 9–6 | 60.00% |
| S_WICK vs Lidia | 6–8 | 42.86% |
| S_WICK vs Raven | 7–6 | 53.85% |
| S_WICK vs Clive | 8–5 | 61.54% |
| S_WICK vs Alisa | 6–6 | 50.00% |
| S_WICK vs Feng | 10–1 | 90.91% |
| S_WICK vs Leroy | 6–4 | 60.00% |
| S_WICK vs Jun | 6–4 | 60.00% |
| S_WICK vs Nina | 6–3 | 66.67% |
| S_WICK vs Anna | 9–0 | 100.00% |
| S_WICK vs Zafina | 1–6 | 14.29% |
| S_WICK vs Shaheen | 4–2 | 66.67% |
| S_WICK vs Panda | 1–2 | 33.33% |
| S_WICK vs Miary Zo | 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.