| KitsuneKdeon vs King | 18–12 | 60.00% |
| KitsuneKdeon vs Hwoarang | 20–4 | 83.33% |
| KitsuneKdeon vs Reina | 16–8 | 66.67% |
| KitsuneKdeon vs Kazuya | 14–9 | 60.87% |
| KitsuneKdeon vs Jin | 13–8 | 61.90% |
| KitsuneKdeon vs Steve | 15–3 | 83.33% |
| KitsuneKdeon vs Asuka | 14–4 | 77.78% |
| KitsuneKdeon vs Armor King | 8–10 | 44.44% |
| KitsuneKdeon vs Fahkumram | 11–6 | 64.71% |
| KitsuneKdeon vs Bryan | 10–6 | 62.50% |
| KitsuneKdeon vs Law | 6–9 | 40.00% |
| KitsuneKdeon vs Yoshimitsu | 9–6 | 60.00% |
| KitsuneKdeon vs Heihachi | 7–8 | 46.67% |
| KitsuneKdeon vs Xiaoyu | 8–4 | 66.67% |
| KitsuneKdeon vs Jack-8 | 8–2 | 80.00% |
| KitsuneKdeon vs Lili | 9–1 | 90.00% |
| KitsuneKdeon vs Dragunov | 6–4 | 60.00% |
| KitsuneKdeon vs Paul | 5–4 | 55.56% |
| KitsuneKdeon vs Lee | 5–4 | 55.56% |
| KitsuneKdeon vs Azucena | 6–3 | 66.67% |
| KitsuneKdeon vs Devil Jin | 7–1 | 87.50% |
| KitsuneKdeon vs Nina | 6–2 | 75.00% |
| KitsuneKdeon vs Raven | 4–4 | 50.00% |
| KitsuneKdeon vs Feng | 5–2 | 71.43% |
| KitsuneKdeon vs Lars | 5–2 | 71.43% |
| KitsuneKdeon vs Victor | 3–4 | 42.86% |
| KitsuneKdeon vs Claudio | 6–0 | 100.00% |
| KitsuneKdeon vs Eddy | 2–4 | 33.33% |
| KitsuneKdeon vs Alisa | 4–1 | 80.00% |
| KitsuneKdeon vs Lidia | 1–4 | 20.00% |
| KitsuneKdeon vs Miary Zo | 2–2 | 50.00% |
| KitsuneKdeon vs Leo | 1–2 | 33.33% |
| KitsuneKdeon vs Jun | 3–0 | 100.00% |
| KitsuneKdeon vs Anna | 3–0 | 100.00% |
| KitsuneKdeon vs Zafina | 1–1 | 50.00% |
| KitsuneKdeon vs Shaheen | 1–0 | 100.00% |
| KitsuneKdeon vs Clive | 0–1 | 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.