| kdogsworld vs Hwoarang | 23–22 | 51.11% |
| kdogsworld vs Eddy | 17–22 | 43.59% |
| kdogsworld vs Law | 17–13 | 56.67% |
| kdogsworld vs Kazuya | 17–11 | 60.71% |
| kdogsworld vs Steve | 15–13 | 53.57% |
| kdogsworld vs Reina | 18–10 | 64.29% |
| kdogsworld vs King | 16–9 | 64.00% |
| kdogsworld vs Jin | 11–9 | 55.00% |
| kdogsworld vs Lars | 13–7 | 65.00% |
| kdogsworld vs Yoshimitsu | 10–8 | 55.56% |
| kdogsworld vs Fahkumram | 9–8 | 52.94% |
| kdogsworld vs Bryan | 8–8 | 50.00% |
| kdogsworld vs Jun | 9–6 | 60.00% |
| kdogsworld vs Azucena | 6–8 | 42.86% |
| kdogsworld vs Lili | 9–4 | 69.23% |
| kdogsworld vs Xiaoyu | 5–7 | 41.67% |
| kdogsworld vs Dragunov | 3–9 | 25.00% |
| kdogsworld vs Leroy | 10–2 | 83.33% |
| kdogsworld vs Devil Jin | 2–9 | 18.18% |
| kdogsworld vs Victor | 8–3 | 72.73% |
| kdogsworld vs Raven | 6–5 | 54.55% |
| kdogsworld vs Clive | 6–5 | 54.55% |
| kdogsworld vs Nina | 7–3 | 70.00% |
| kdogsworld vs Feng | 6–2 | 75.00% |
| kdogsworld vs Lidia | 6–2 | 75.00% |
| kdogsworld vs Leo | 3–4 | 42.86% |
| kdogsworld vs Alisa | 7–0 | 100.00% |
| kdogsworld vs Heihachi | 6–1 | 85.71% |
| kdogsworld vs Armor King | 4–3 | 57.14% |
| kdogsworld vs Paul | 4–2 | 66.67% |
| kdogsworld vs Claudio | 2–4 | 33.33% |
| kdogsworld vs Kuma | 2–4 | 33.33% |
| kdogsworld vs Anna | 0–5 | 0.00% |
| kdogsworld vs Miary Zo | 4–1 | 80.00% |
| kdogsworld vs Jack-8 | 2–2 | 50.00% |
| kdogsworld vs Asuka | 4–0 | 100.00% |
| kdogsworld vs Lee | 1–3 | 25.00% |
| kdogsworld vs Zafina | 3–1 | 75.00% |
| kdogsworld vs Panda | 1–1 | 50.00% |
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.