| JambonJay vs Kazuya | 79–74 | 51.63% |
| JambonJay vs Jin | 47–55 | 46.08% |
| JambonJay vs Bryan | 51–49 | 51.00% |
| JambonJay vs King | 49–49 | 50.00% |
| JambonJay vs Lidia | 58–39 | 59.79% |
| JambonJay vs Steve | 53–42 | 55.79% |
| JambonJay vs Hwoarang | 56–35 | 61.54% |
| JambonJay vs Reina | 46–38 | 54.76% |
| JambonJay vs Eddy | 39–41 | 48.75% |
| JambonJay vs Azucena | 38–34 | 52.78% |
| JambonJay vs Lili | 30–38 | 44.12% |
| JambonJay vs Law | 27–38 | 41.54% |
| JambonJay vs Asuka | 23–34 | 40.35% |
| JambonJay vs Dragunov | 32–25 | 56.14% |
| JambonJay vs Lee | 29–23 | 55.77% |
| JambonJay vs Jun | 23–29 | 44.23% |
| JambonJay vs Victor | 36–16 | 69.23% |
| JambonJay vs Lars | 27–21 | 56.25% |
| JambonJay vs Paul | 27–19 | 58.70% |
| JambonJay vs Heihachi | 21–21 | 50.00% |
| JambonJay vs Leo | 27–14 | 65.85% |
| JambonJay vs Xiaoyu | 26–12 | 68.42% |
| JambonJay vs Jack-8 | 17–21 | 44.74% |
| JambonJay vs Yoshimitsu | 22–14 | 61.11% |
| JambonJay vs Nina | 22–12 | 64.71% |
| JambonJay vs Devil Jin | 19–14 | 57.58% |
| JambonJay vs Armor King | 23–8 | 74.19% |
| JambonJay vs Leroy | 20–7 | 74.07% |
| JambonJay vs Alisa | 12–12 | 50.00% |
| JambonJay vs Claudio | 8–14 | 36.36% |
| JambonJay vs Shaheen | 10–11 | 47.62% |
| JambonJay vs Raven | 6–15 | 28.57% |
| JambonJay vs Feng | 9–11 | 45.00% |
| JambonJay vs Zafina | 10–8 | 55.56% |
| JambonJay vs Kuma | 5–8 | 38.46% |
| JambonJay vs Anna | 6–1 | 85.71% |
| JambonJay vs Clive | 3–2 | 60.00% |
| JambonJay vs Panda | 1–3 | 25.00% |
| JambonJay vs Fahkumram | 3–0 | 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.