| D.cogley vs Jin | 18–70 | 20.45% |
| D.cogley vs King | 27–60 | 31.03% |
| D.cogley vs Steve | 31–49 | 38.75% |
| D.cogley vs Hwoarang | 32–44 | 42.11% |
| D.cogley vs Law | 36–38 | 48.65% |
| D.cogley vs Dragunov | 19–51 | 27.14% |
| D.cogley vs Kazuya | 27–40 | 40.30% |
| D.cogley vs Fahkumram | 23–41 | 35.94% |
| D.cogley vs Eddy | 21–39 | 35.00% |
| D.cogley vs Lili | 16–32 | 33.33% |
| D.cogley vs Asuka | 12–35 | 25.53% |
| D.cogley vs Lidia | 17–30 | 36.17% |
| D.cogley vs Reina | 15–31 | 32.61% |
| D.cogley vs Heihachi | 19–27 | 41.30% |
| D.cogley vs Bryan | 18–26 | 40.91% |
| D.cogley vs Lee | 17–21 | 44.74% |
| D.cogley vs Lars | 11–25 | 30.56% |
| D.cogley vs Azucena | 11–25 | 30.56% |
| D.cogley vs Jun | 9–25 | 26.47% |
| D.cogley vs Clive | 15–16 | 48.39% |
| D.cogley vs Nina | 6–24 | 20.00% |
| D.cogley vs Alisa | 12–17 | 41.38% |
| D.cogley vs Anna | 8–20 | 28.57% |
| D.cogley vs Devil Jin | 5–22 | 18.52% |
| D.cogley vs Feng | 11–16 | 40.74% |
| D.cogley vs Yoshimitsu | 11–14 | 44.00% |
| D.cogley vs Leo | 12–12 | 50.00% |
| D.cogley vs Leroy | 6–17 | 26.09% |
| D.cogley vs Victor | 8–14 | 36.36% |
| D.cogley vs Armor King | 11–11 | 50.00% |
| D.cogley vs Xiaoyu | 9–11 | 45.00% |
| D.cogley vs Jack-8 | 6–14 | 30.00% |
| D.cogley vs Paul | 6–13 | 31.58% |
| D.cogley vs Miary Zo | 7–7 | 50.00% |
| D.cogley vs Kuma | 5–5 | 50.00% |
| D.cogley vs Raven | 2–4 | 33.33% |
| D.cogley vs Zafina | 4–1 | 80.00% |
| D.cogley vs Claudio | 3–1 | 75.00% |
| D.cogley vs Shaheen | 1–2 | 33.33% |
| D.cogley vs Panda | 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.