| darkskye vs Kazuya | 82–85 | 49.10% |
| darkskye vs Jin | 75–70 | 51.72% |
| darkskye vs King | 58–78 | 42.65% |
| darkskye vs Reina | 60–68 | 46.88% |
| darkskye vs Hwoarang | 46–57 | 44.66% |
| darkskye vs Dragunov | 49–50 | 49.49% |
| darkskye vs Lili | 35–57 | 38.04% |
| darkskye vs Bryan | 46–45 | 50.55% |
| darkskye vs Steve | 34–55 | 38.20% |
| darkskye vs Azucena | 34–38 | 47.22% |
| darkskye vs Paul | 27–43 | 38.57% |
| darkskye vs Eddy | 26–40 | 39.39% |
| darkskye vs Asuka | 33–31 | 51.56% |
| darkskye vs Jun | 28–32 | 46.67% |
| darkskye vs Law | 16–41 | 28.07% |
| darkskye vs Lee | 25–30 | 45.45% |
| darkskye vs Lars | 25–24 | 51.02% |
| darkskye vs Devil Jin | 24–24 | 50.00% |
| darkskye vs Feng | 27–21 | 56.25% |
| darkskye vs Victor | 21–25 | 45.65% |
| darkskye vs Yoshimitsu | 16–29 | 35.56% |
| darkskye vs Xiaoyu | 16–28 | 36.36% |
| darkskye vs Leo | 22–17 | 56.41% |
| darkskye vs Raven | 17–20 | 45.95% |
| darkskye vs Jack-8 | 13–21 | 38.24% |
| darkskye vs Leroy | 14–20 | 41.18% |
| darkskye vs Nina | 10–19 | 34.48% |
| darkskye vs Shaheen | 14–14 | 50.00% |
| darkskye vs Kuma | 10–17 | 37.04% |
| darkskye vs Alisa | 7–14 | 33.33% |
| darkskye vs Claudio | 13–8 | 61.90% |
| darkskye vs Zafina | 4–16 | 20.00% |
| darkskye vs Armor King | 7–9 | 43.75% |
| darkskye vs Anna | 7–7 | 50.00% |
| darkskye vs Panda | 1–11 | 8.33% |
| darkskye vs Lidia | 5–3 | 62.50% |
| darkskye vs Miary Zo | 4–4 | 50.00% |
| darkskye vs Heihachi | 5–1 | 83.33% |
| darkskye vs Clive | 2–4 | 33.33% |
| darkskye 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.