| SpeedyClaxico vs Kazuya | 13–8 | 61.90% |
| SpeedyClaxico vs Heihachi | 9–12 | 42.86% |
| SpeedyClaxico vs King | 8–12 | 40.00% |
| SpeedyClaxico vs Reina | 7–10 | 41.18% |
| SpeedyClaxico vs Bryan | 8–8 | 50.00% |
| SpeedyClaxico vs Steve | 8–6 | 57.14% |
| SpeedyClaxico vs Dragunov | 9–5 | 64.29% |
| SpeedyClaxico vs Azucena | 6–6 | 50.00% |
| SpeedyClaxico vs Hwoarang | 6–4 | 60.00% |
| SpeedyClaxico vs Jin | 4–6 | 40.00% |
| SpeedyClaxico vs Lili | 6–3 | 66.67% |
| SpeedyClaxico vs Panda | 4–5 | 44.44% |
| SpeedyClaxico vs Law | 6–2 | 75.00% |
| SpeedyClaxico vs Paul | 5–2 | 71.43% |
| SpeedyClaxico vs Feng | 2–5 | 28.57% |
| SpeedyClaxico vs Claudio | 3–4 | 42.86% |
| SpeedyClaxico vs Eddy | 3–4 | 42.86% |
| SpeedyClaxico vs Yoshimitsu | 4–2 | 66.67% |
| SpeedyClaxico vs Victor | 2–4 | 33.33% |
| SpeedyClaxico vs Leo | 2–3 | 40.00% |
| SpeedyClaxico vs Lee | 1–3 | 25.00% |
| SpeedyClaxico vs Jack-8 | 2–1 | 66.67% |
| SpeedyClaxico vs Asuka | 1–2 | 33.33% |
| SpeedyClaxico vs Devil Jin | 2–1 | 66.67% |
| SpeedyClaxico vs Clive | 0–3 | 0.00% |
| SpeedyClaxico vs Xiaoyu | 2–0 | 100.00% |
| SpeedyClaxico vs Lars | 0–2 | 0.00% |
| SpeedyClaxico vs Nina | 1–1 | 50.00% |
| SpeedyClaxico vs Kuma | 0–2 | 0.00% |
| SpeedyClaxico vs Leroy | 2–0 | 100.00% |
| SpeedyClaxico vs Zafina | 0–1 | 0.00% |
| SpeedyClaxico vs Lidia | 1–0 | 100.00% |
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.