| spsmile vs Hwoarang | 111–117 | 48.68% |
| spsmile vs Kazuya | 123–84 | 59.42% |
| spsmile vs Asuka | 108–80 | 57.45% |
| spsmile vs Reina | 111–75 | 59.68% |
| spsmile vs Paul | 84–87 | 49.12% |
| spsmile vs Dragunov | 73–94 | 43.71% |
| spsmile vs King | 68–94 | 41.98% |
| spsmile vs Jin | 83–79 | 51.23% |
| spsmile vs Steve | 70–61 | 53.44% |
| spsmile vs Jun | 51–70 | 42.15% |
| spsmile vs Bryan | 40–75 | 34.78% |
| spsmile vs Law | 63–51 | 55.26% |
| spsmile vs Lili | 40–71 | 36.04% |
| spsmile vs Yoshimitsu | 37–52 | 41.57% |
| spsmile vs Devil Jin | 38–40 | 48.72% |
| spsmile vs Xiaoyu | 45–32 | 58.44% |
| spsmile vs Lee | 35–39 | 47.30% |
| spsmile vs Victor | 33–41 | 44.59% |
| spsmile vs Azucena | 35–38 | 47.95% |
| spsmile vs Feng | 35–37 | 48.61% |
| spsmile vs Nina | 34–31 | 52.31% |
| spsmile vs Lars | 24–36 | 40.00% |
| spsmile vs Leo | 24–31 | 43.64% |
| spsmile vs Claudio | 25–26 | 49.02% |
| spsmile vs Alisa | 22–28 | 44.00% |
| spsmile vs Leroy | 25–24 | 51.02% |
| spsmile vs Heihachi | 20–27 | 42.55% |
| spsmile vs Eddy | 25–21 | 54.35% |
| spsmile vs Jack-8 | 14–25 | 35.90% |
| spsmile vs Lidia | 11–27 | 28.95% |
| spsmile vs Anna | 17–18 | 48.57% |
| spsmile vs Clive | 10–22 | 31.25% |
| spsmile vs Fahkumram | 12–20 | 37.50% |
| spsmile vs Shaheen | 12–18 | 40.00% |
| spsmile vs Kuma | 10–19 | 34.48% |
| spsmile vs Raven | 7–22 | 24.14% |
| spsmile vs Zafina | 6–18 | 25.00% |
| spsmile vs Panda | 5–6 | 45.45% |
| spsmile vs Armor King | 4–7 | 36.36% |
| spsmile vs Miary Zo | 4–0 | 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.