| Arakniro vs Jin | 73–83 | 46.79% |
| Arakniro vs Hwoarang | 54–68 | 44.26% |
| Arakniro vs Bryan | 58–55 | 51.33% |
| Arakniro vs Kazuya | 69–39 | 63.89% |
| Arakniro vs King | 50–50 | 50.00% |
| Arakniro vs Reina | 42–34 | 55.26% |
| Arakniro vs Yoshimitsu | 44–31 | 58.67% |
| Arakniro vs Law | 33–33 | 50.00% |
| Arakniro vs Steve | 40–24 | 62.50% |
| Arakniro vs Dragunov | 44–20 | 68.75% |
| Arakniro vs Paul | 37–25 | 59.68% |
| Arakniro vs Lee | 23–34–1 | 40.35% |
| Arakniro vs Asuka | 21–31 | 40.38% |
| Arakniro vs Lili | 28–22 | 56.00% |
| Arakniro vs Devil Jin | 22–26 | 45.83% |
| Arakniro vs Heihachi | 25–19 | 56.82% |
| Arakniro vs Jun | 21–16 | 56.76% |
| Arakniro vs Feng | 14–20 | 41.18% |
| Arakniro vs Azucena | 14–19 | 42.42% |
| Arakniro vs Eddy | 10–21 | 32.26% |
| Arakniro vs Alisa | 14–16 | 46.67% |
| Arakniro vs Xiaoyu | 17–12 | 58.62% |
| Arakniro vs Raven | 12–17 | 41.38% |
| Arakniro vs Jack-8 | 12–16 | 42.86% |
| Arakniro vs Claudio | 11–17 | 39.29% |
| Arakniro vs Nina | 15–13 | 53.57% |
| Arakniro vs Kuma | 11–14 | 44.00% |
| Arakniro vs Leroy | 10–14 | 41.67% |
| Arakniro vs Victor | 16–4 | 80.00% |
| Arakniro vs Miary Zo | 6–13 | 31.58% |
| Arakniro vs Leo | 8–7 | 53.33% |
| Arakniro vs Zafina | 4–10 | 28.57% |
| Arakniro vs Lars | 7–5 | 58.33% |
| Arakniro vs Armor King | 8–4 | 66.67% |
| Arakniro vs Lidia | 5–6 | 45.45% |
| Arakniro vs Shaheen | 6–4 | 60.00% |
| Arakniro vs Clive | 5–3 | 62.50% |
| Arakniro vs Anna | 0–8 | 0.00% |
| Arakniro vs Fahkumram | 5–3 | 62.50% |
| Arakniro vs Panda | 1–2 | 33.33% |
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.