| spade vs King | 53–30 | 63.86% |
| spade vs Jin | 44–39 | 53.01% |
| spade vs Kazuya | 49–25 | 66.22% |
| spade vs Heihachi | 29–25 | 53.70% |
| spade vs Yoshimitsu | 26–13 | 66.67% |
| spade vs Dragunov | 17–20 | 45.95% |
| spade vs Devil Jin | 20–14 | 58.82% |
| spade vs Paul | 21–10 | 67.74% |
| spade vs Law | 25–6 | 80.65% |
| spade vs Bryan | 22–8 | 73.33% |
| spade vs Lee | 16–10 | 61.54% |
| spade vs Reina | 16–9 | 64.00% |
| spade vs Hwoarang | 14–10 | 58.33% |
| spade vs Lili | 16–8 | 66.67% |
| spade vs Steve | 20–3 | 86.96% |
| spade vs Asuka | 12–11 | 52.17% |
| spade vs Feng | 13–8 | 61.90% |
| spade vs Alisa | 12–7 | 63.16% |
| spade vs Nina | 4–13 | 23.53% |
| spade vs Jun | 7–7 | 50.00% |
| spade vs Lidia | 10–3 | 76.92% |
| spade vs Xiaoyu | 5–7 | 41.67% |
| spade vs Jack-8 | 8–3 | 72.73% |
| spade vs Shaheen | 4–7 | 36.36% |
| spade vs Eddy | 10–1 | 90.91% |
| spade vs Azucena | 5–5 | 50.00% |
| spade vs Victor | 6–3 | 66.67% |
| spade vs Claudio | 5–3 | 62.50% |
| spade vs Leo | 2–5 | 28.57% |
| spade vs Lars | 4–3 | 57.14% |
| spade vs Zafina | 1–4 | 20.00% |
| spade vs Leroy | 3–1 | 75.00% |
| spade vs Raven | 4–0 | 100.00% |
| spade vs Armor King | 1–3 | 25.00% |
| spade vs Clive | 2–1 | 66.67% |
| spade vs Anna | 2–1 | 66.67% |
| spade vs Kuma | 0–2 | 0.00% |
| spade vs Panda | 2–0 | 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.