| Jabspammer vs King | 36–48 | 42.86% |
| Jabspammer vs Hwoarang | 27–35 | 43.55% |
| Jabspammer vs Bryan | 19–39 | 32.76% |
| Jabspammer vs Steve | 38–18 | 67.86% |
| Jabspammer vs Jin | 28–23 | 54.90% |
| Jabspammer vs Reina | 26–24 | 52.00% |
| Jabspammer vs Dragunov | 13–29 | 30.95% |
| Jabspammer vs Law | 22–19 | 53.66% |
| Jabspammer vs Kazuya | 23–17 | 57.50% |
| Jabspammer vs Eddy | 20–20 | 50.00% |
| Jabspammer vs Heihachi | 19–21 | 47.50% |
| Jabspammer vs Lili | 9–21 | 30.00% |
| Jabspammer vs Lars | 12–17 | 41.38% |
| Jabspammer vs Leo | 16–12 | 57.14% |
| Jabspammer vs Lidia | 16–12 | 57.14% |
| Jabspammer vs Yoshimitsu | 15–12 | 55.56% |
| Jabspammer vs Xiaoyu | 8–18 | 30.77% |
| Jabspammer vs Lee | 7–17 | 29.17% |
| Jabspammer vs Victor | 15–9 | 62.50% |
| Jabspammer vs Anna | 10–13 | 43.48% |
| Jabspammer vs Asuka | 9–13 | 40.91% |
| Jabspammer vs Leroy | 8–14 | 36.36% |
| Jabspammer vs Armor King | 8–14 | 36.36% |
| Jabspammer vs Nina | 9–11 | 45.00% |
| Jabspammer vs Paul | 6–13 | 31.58% |
| Jabspammer vs Fahkumram | 6–13 | 31.58% |
| Jabspammer vs Azucena | 12–6 | 66.67% |
| Jabspammer vs Jun | 8–9 | 47.06% |
| Jabspammer vs Jack-8 | 7–9 | 43.75% |
| Jabspammer vs Devil Jin | 3–13 | 18.75% |
| Jabspammer vs Clive | 7–9 | 43.75% |
| Jabspammer vs Feng | 7–6 | 53.85% |
| Jabspammer vs Kuma | 2–7 | 22.22% |
| Jabspammer vs Alisa | 0–8 | 0.00% |
| Jabspammer vs Miary Zo | 4–4 | 50.00% |
| Jabspammer vs Claudio | 1–5 | 16.67% |
| Jabspammer vs Zafina | 3–1 | 75.00% |
| Jabspammer vs Shaheen | 2–1 | 66.67% |
| Jabspammer vs Raven | 1–1 | 50.00% |
| Jabspammer vs Panda | 1–0 | 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.