| Spam vs Jin | 45–24 | 65.22% |
| Spam vs Kazuya | 39–22 | 63.93% |
| Spam vs King | 36–17 | 67.92% |
| Spam vs Reina | 39–12 | 76.47% |
| Spam vs Lili | 26–13 | 66.67% |
| Spam vs Bryan | 21–16 | 56.76% |
| Spam vs Steve | 23–9 | 71.88% |
| Spam vs Hwoarang | 12–19 | 38.71% |
| Spam vs Heihachi | 22–9 | 70.97% |
| Spam vs Devil Jin | 25–4 | 86.21% |
| Spam vs Azucena | 12–14 | 46.15% |
| Spam vs Lars | 16–9 | 64.00% |
| Spam vs Paul | 20–4 | 83.33% |
| Spam vs Leroy | 14–9 | 60.87% |
| Spam vs Law | 12–10 | 54.55% |
| Spam vs Alisa | 13–9 | 59.09% |
| Spam vs Dragunov | 15–6 | 71.43% |
| Spam vs Claudio | 15–6 | 71.43% |
| Spam vs Jun | 10–10 | 50.00% |
| Spam vs Clive | 11–8 | 57.89% |
| Spam vs Yoshimitsu | 6–12 | 33.33% |
| Spam vs Nina | 9–5 | 64.29% |
| Spam vs Raven | 9–5 | 64.29% |
| Spam vs Anna | 9–5 | 64.29% |
| Spam vs Xiaoyu | 7–5 | 58.33% |
| Spam vs Feng | 6–3 | 66.67% |
| Spam vs Zafina | 6–3 | 66.67% |
| Spam vs Jack-8 | 8–0 | 100.00% |
| Spam vs Asuka | 3–5 | 37.50% |
| Spam vs Lee | 3–5 | 37.50% |
| Spam vs Kuma | 2–5 | 28.57% |
| Spam vs Victor | 5–2 | 71.43% |
| Spam vs Leo | 6–0 | 100.00% |
| Spam vs Shaheen | 3–3 | 50.00% |
| Spam vs Eddy | 3–2 | 60.00% |
| Spam vs Fahkumram | 4–1 | 80.00% |
| Spam vs Panda | 0–2 | 0.00% |
| Spam vs Armor King | 2–0 | 100.00% |
| Spam vs Lidia | 0–1 | 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.