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NJ-07 Democratic Primary Winner

icon for NJ-07 Democratic Primary Winner

NJ-07 Democratic Primary Winner

Rebecca Bennett 99.6%

Brian Varela <1%

Tina Shah <1%

Michael Roth <1%

Polymarket

$10,601 Vol.

Rebecca Bennett 99.6%

Brian Varela <1%

Tina Shah <1%

Michael Roth <1%

Polymarket

$10,601 Vol.

Brian Varela

$1,545 Vol.

No

Rebecca Bennett

$6,371 Vol.

Yes

Tina Shah

$1,107 Vol.

No

Michael Roth

$1,578 Vol.

No

This market will resolve according to the candidate who wins the nomination for the Democratic Party to contest the NJ-07 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The Democratic primary will take place on June 2, 2026. If no nominee is announced by November 3, 2026, 11:59 PM ET, this market will resolve to "Other". The resolution source for this market will be a consensus of official Democrat sources, including https://democrats.org/. Any replacement of the nominee before election day will not change the resolution of the market.Rebecca Bennett secured the Democratic nomination for New Jersey’s 7th Congressional District in the June 2 primary, driving the market’s near-certain pricing. She consolidated support through superior fundraising, multiple county party endorsements, and a profile as a former Navy helicopter pilot with healthcare experience that aligned with establishment preferences in the suburban swing district. The four-candidate field split the remaining vote among Brian Varela, Tina Shah, and Michael Roth, preventing any challenger from mounting a serious threat. With certified results now available, only an unforeseen procedural reversal or recount could alter the outcome before market resolution.

This market will resolve according to the candidate who wins the nomination for the Democratic Party to contest the NJ-07 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The Democratic primary will take place on June 2, 2026.

If no nominee is announced by November 3, 2026, 11:59 PM ET, this market will resolve to "Other".

The resolution source for this market will be a consensus of official Democrat sources, including https://democrats.org/.

Any replacement of the nominee before election day will not change the resolution of the market.
Volume
$10,601
Date de fin
2 juin 2026
Marché ouvert
Apr 22, 2026, 1:06 PM ET
This market will resolve according to the candidate who wins the nomination for the Democratic Party to contest the NJ-07 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The Democratic primary will take place on June 2, 2026. If no nominee is announced by November 3, 2026, 11:59 PM ET, this market will resolve to "Other". The resolution source for this market will be a consensus of official Democrat sources, including https://democrats.org/. Any replacement of the nominee before election day will not change the resolution of the market.

Résultat proposé: Yes

Aucune contestation

Résultat final: Yes

This market will resolve according to the candidate who wins the nomination for the Democratic Party to contest the NJ-07 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The Democratic primary will take place on June 2, 2026. If no nominee is announced by November 3, 2026, 11:59 PM ET, this market will resolve to "Other". The resolution source for this market will be a consensus of official Democrat sources, including https://democrats.org/. Any replacement of the nominee before election day will not change the resolution of the market.Rebecca Bennett secured the Democratic nomination for New Jersey’s 7th Congressional District in the June 2 primary, driving the market’s near-certain pricing. She consolidated support through superior fundraising, multiple county party endorsements, and a profile as a former Navy helicopter pilot with healthcare experience that aligned with establishment preferences in the suburban swing district. The four-candidate field split the remaining vote among Brian Varela, Tina Shah, and Michael Roth, preventing any challenger from mounting a serious threat. With certified results now available, only an unforeseen procedural reversal or recount could alter the outcome before market resolution.

This market will resolve according to the candidate who wins the nomination for the Democratic Party to contest the NJ-07 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The Democratic primary will take place on June 2, 2026.

If no nominee is announced by November 3, 2026, 11:59 PM ET, this market will resolve to "Other".

The resolution source for this market will be a consensus of official Democrat sources, including https://democrats.org/.

Any replacement of the nominee before election day will not change the resolution of the market.
Volume
$10,601
Date de fin
2 juin 2026
Marché ouvert
Apr 22, 2026, 1:06 PM ET
This market will resolve according to the candidate who wins the nomination for the Democratic Party to contest the NJ-07 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The Democratic primary will take place on June 2, 2026. If no nominee is announced by November 3, 2026, 11:59 PM ET, this market will resolve to "Other". The resolution source for this market will be a consensus of official Democrat sources, including https://democrats.org/. Any replacement of the nominee before election day will not change the resolution of the market.

Résultat proposé: Yes

Aucune contestation

Résultat final: Yes

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Questions fréquentes

« NJ-07 Democratic Primary Winner » est un marché de prédiction sur Polymarket avec 4 résultats possibles où les traders achètent et vendent des parts selon ce qu'ils pensent qu'il se passera. Le résultat en tête actuel est « Rebecca Bennett » à 100%, suivi de « Brian Varela » à 0%. Les prix reflètent des probabilités en temps réel de la communauté. Par exemple, une part cotée à 100¢ implique que le marché attribue collectivement une probabilité de 100% à ce résultat. Ces cotes changent en permanence. Les parts du résultat correct sont échangeables contre $1 chacune lors de la résolution du marché.

À ce jour, « NJ-07 Democratic Primary Winner » a généré $10.6K en volume total de trading depuis le lancement du marché le Apr 22, 2026. Ce niveau d'activité reflète un fort engagement de la communauté Polymarket et garantit que les cotes actuelles sont alimentées par un large bassin de participants. Vous pouvez suivre les mouvements de prix en direct et trader sur n'importe quel résultat directement sur cette page.

Pour trader sur « NJ-07 Democratic Primary Winner », parcourez les 4 résultats disponibles sur cette page. Chaque résultat affiche un prix actuel représentant la probabilité implicite du marché. Pour prendre position, sélectionnez le résultat que vous estimez le plus probable, choisissez « Oui » pour trader en sa faveur ou « Non » pour trader contre, entrez votre montant et cliquez sur « Trader ». Si votre résultat choisi est correct lors de la résolution, vos parts « Oui » rapportent $1 chacune. S'il est incorrect, elles rapportent $0. Vous pouvez également vendre vos parts avant la résolution.

Le favori actuel pour « NJ-07 Democratic Primary Winner » est « Rebecca Bennett » à 100%, ce qui signifie que le marché attribue une probabilité de 100% à ce résultat. Le résultat le plus proche ensuite est « Brian Varela » à 0%. Ces cotes sont mises à jour en temps réel à mesure que les traders achètent et vendent des parts. Revenez fréquemment ou ajoutez cette page à vos favoris.

Les règles de résolution de « NJ-07 Democratic Primary Winner » définissent exactement ce qui doit se produire pour que chaque résultat soit déclaré gagnant, y compris les sources de données officielles utilisées pour déterminer le résultat. Vous pouvez consulter les critères de résolution complets dans la section « Règles » sur cette page au-dessus des commentaires. Nous recommandons de lire attentivement les règles avant de trader, car elles précisent les conditions exactes, les cas particuliers et les sources.