| Sp00der M00n vs King | 50–87 | 36.50% |
| Sp00der M00n vs Jin | 55–79 | 41.04% |
| Sp00der M00n vs Reina | 53–80 | 39.85% |
| Sp00der M00n vs Kazuya | 60–61 | 49.59% |
| Sp00der M00n vs Bryan | 55–55 | 50.00% |
| Sp00der M00n vs Eddy | 35–70 | 33.33% |
| Sp00der M00n vs Steve | 41–49 | 45.56% |
| Sp00der M00n vs Law | 31–51 | 37.80% |
| Sp00der M00n vs Azucena | 33–39 | 45.83% |
| Sp00der M00n vs Paul | 33–36 | 47.83% |
| Sp00der M00n vs Lars | 21–41 | 33.87% |
| Sp00der M00n vs Hwoarang | 21–38 | 35.59% |
| Sp00der M00n vs Jun | 27–26 | 50.94% |
| Sp00der M00n vs Dragunov | 21–30 | 41.18% |
| Sp00der M00n vs Xiaoyu | 15–35 | 30.00% |
| Sp00der M00n vs Asuka | 24–24 | 50.00% |
| Sp00der M00n vs Lee | 23–25 | 47.92% |
| Sp00der M00n vs Yoshimitsu | 21–26 | 44.68% |
| Sp00der M00n vs Victor | 18–27 | 40.00% |
| Sp00der M00n vs Lili | 19–18 | 51.35% |
| Sp00der M00n vs Heihachi | 13–24 | 35.14% |
| Sp00der M00n vs Devil Jin | 10–23 | 30.30% |
| Sp00der M00n vs Leroy | 15–18 | 45.45% |
| Sp00der M00n vs Feng | 9–22 | 29.03% |
| Sp00der M00n vs Nina | 6–22 | 21.43% |
| Sp00der M00n vs Kuma | 8–20 | 28.57% |
| Sp00der M00n vs Jack-8 | 12–15 | 44.44% |
| Sp00der M00n vs Raven | 11–15 | 42.31% |
| Sp00der M00n vs Leo | 8–15 | 34.78% |
| Sp00der M00n vs Claudio | 14–9 | 60.87% |
| Sp00der M00n vs Fahkumram | 11–12 | 47.83% |
| Sp00der M00n vs Alisa | 8–13 | 38.10% |
| Sp00der M00n vs Anna | 6–13 | 31.58% |
| Sp00der M00n vs Clive | 5–13 | 27.78% |
| Sp00der M00n vs Zafina | 7–8 | 46.67% |
| Sp00der M00n vs Panda | 4–7 | 36.36% |
| Sp00der M00n vs Lidia | 4–6 | 40.00% |
| Sp00der M00n vs Shaheen | 2–5 | 28.57% |
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.