| SKwalker vs King | 71–57 | 55.47% |
| SKwalker vs Kazuya | 64–62 | 50.79% |
| SKwalker vs Jin | 54–54 | 50.00% |
| SKwalker vs Eddy | 49–53 | 48.04% |
| SKwalker vs Steve | 52–40 | 56.52% |
| SKwalker vs Lidia | 44–44 | 50.00% |
| SKwalker vs Reina | 48–35 | 57.83% |
| SKwalker vs Heihachi | 41–40 | 50.62% |
| SKwalker vs Asuka | 34–32 | 51.52% |
| SKwalker vs Hwoarang | 30–29 | 50.85% |
| SKwalker vs Bryan | 25–32 | 43.86% |
| SKwalker vs Law | 25–30 | 45.45% |
| SKwalker vs Dragunov | 25–30 | 45.45% |
| SKwalker vs Devil Jin | 25–25 | 50.00% |
| SKwalker vs Paul | 14–33 | 29.79% |
| SKwalker vs Azucena | 24–19 | 55.81% |
| SKwalker vs Yoshimitsu | 25–17 | 59.52% |
| SKwalker vs Victor | 22–18 | 55.00% |
| SKwalker vs Lili | 16–21 | 43.24% |
| SKwalker vs Lars | 11–21 | 34.38% |
| SKwalker vs Claudio | 13–19 | 40.62% |
| SKwalker vs Nina | 12–20 | 37.50% |
| SKwalker vs Lee | 8–22 | 26.67% |
| SKwalker vs Anna | 11–16 | 40.74% |
| SKwalker vs Leo | 12–13 | 48.00% |
| SKwalker vs Xiaoyu | 16–8 | 66.67% |
| SKwalker vs Jun | 12–12 | 50.00% |
| SKwalker vs Raven | 15–9 | 62.50% |
| SKwalker vs Feng | 6–13 | 31.58% |
| SKwalker vs Alisa | 6–11 | 35.29% |
| SKwalker vs Fahkumram | 4–13 | 23.53% |
| SKwalker vs Leroy | 2–13 | 13.33% |
| SKwalker vs Shaheen | 4–9 | 30.77% |
| SKwalker vs Jack-8 | 5–7 | 41.67% |
| SKwalker vs Zafina | 7–5 | 58.33% |
| SKwalker vs Panda | 8–2 | 80.00% |
| SKwalker vs Clive | 5–5 | 50.00% |
| SKwalker vs Kuma | 2–4 | 33.33% |
| SKwalker vs Armor King | 3–0 | 100.00% |
| SKwalker vs Miary Zo | 0–2 | 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.