| ArKledon vs Kazuya | 96–122 | 44.04% |
| ArKledon vs Jin | 64–82 | 43.84% |
| ArKledon vs King | 59–68 | 46.46% |
| ArKledon vs Hwoarang | 55–67 | 45.08% |
| ArKledon vs Heihachi | 63–55 | 53.39% |
| ArKledon vs Dragunov | 57–59 | 49.14% |
| ArKledon vs Bryan | 43–66 | 39.45% |
| ArKledon vs Law | 47–58 | 44.76% |
| ArKledon vs Reina | 49–55 | 47.12% |
| ArKledon vs Steve | 62–37 | 62.63% |
| ArKledon vs Armor King | 49–50 | 49.49% |
| ArKledon vs Yoshimitsu | 29–53 | 35.37% |
| ArKledon vs Devil Jin | 32–42 | 43.24% |
| ArKledon vs Fahkumram | 30–38 | 44.12% |
| ArKledon vs Jun | 28–29 | 49.12% |
| ArKledon vs Lili | 23–31 | 42.59% |
| ArKledon vs Lee | 18–32 | 36.00% |
| ArKledon vs Clive | 25–20 | 55.56% |
| ArKledon vs Paul | 20–24 | 45.45% |
| ArKledon vs Xiaoyu | 21–23 | 47.73% |
| ArKledon vs Anna | 26–18 | 59.09% |
| ArKledon vs Asuka | 15–28 | 34.88% |
| ArKledon vs Nina | 18–24 | 42.86% |
| ArKledon vs Lars | 22–14 | 61.11% |
| ArKledon vs Eddy | 10–21 | 32.26% |
| ArKledon vs Feng | 11–19 | 36.67% |
| ArKledon vs Lidia | 13–16 | 44.83% |
| ArKledon vs Azucena | 10–18 | 35.71% |
| ArKledon vs Claudio | 10–12 | 45.45% |
| ArKledon vs Leroy | 8–14 | 36.36% |
| ArKledon vs Raven | 9–12 | 42.86% |
| ArKledon vs Alisa | 5–11 | 31.25% |
| ArKledon vs Jack-8 | 4–10 | 28.57% |
| ArKledon vs Zafina | 5–9 | 35.71% |
| ArKledon vs Leo | 5–8 | 38.46% |
| ArKledon vs Victor | 7–6 | 53.85% |
| ArKledon vs Shaheen | 6–4 | 60.00% |
| ArKledon vs Panda | 3–6 | 33.33% |
| ArKledon vs Kuma | 5–3 | 62.50% |
| ArKledon vs Miary Zo | 0–7 | 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.