Questo mercato è chiuso e in attesa di una risoluzione confermata.
In attesa di risoluzione verificata
CoinRithm attende un regolamento confermato dal provider prima di trattare questo mercato come risolto.
Avviso sulla qualità dei datiDati obsoleti
Dati al 28 ott 2026, 14:27 UTC · criterio pm-quality-4
Probabilità implicita attuale
INDW 98%In testa tra 3 esiti
INDW 98%Qualità del mercato
11 / 100
Bassa qualitàVolume 24h
67,3 €
Liquidità
98,6 €
Bassa liquiditàOpen interest
75 USD
Spread
87.0 pt
Spread ampioCommenti
0
Dati di mercato
Aggiornato 12 ore fa
Obsoleto21 ott 26, 14:03 UTC4 nov 26, 08:30 UTC
Trend
INDW98%
Draw44%
ZWEW44%
Mercati Correlati
Domande correlate per il contesto, non un confronto tra contratti equivalenti.
Test Match: South Africa vs Australia
PolymarketTest Match: Bangladesh vs West Indies
PolymarketEngland and Sri Lanka Tour of Pakistan ODIs: Sri Lanka vs England
PolymarketIndia Tour of New Zealand T20s: New Zealand vs India
PolymarketEngland Lions Tour of West Indies T20s: West Indies A vs England Lions
PolymarketCricket World Cup League 2: Oman vs Netherlands - More Markets
PolymarketRegole
This market refers to which team's player records the highest individual run total in the cricket match between India Women and Zimbabwe Women scheduled for October 28 2026 at 4:30 AM ET in Zimbabwe Women Tour of India ODIs.
- The outcome corresponding to India Women will be considered correct if the highest individual score in the match is recorded exclusively by a player from India Women.
- The outcome corresponding to Zimbabwe Women will be considered correct if the highest individual score is recorded exclusively by a player from Zimbabwe Women.
- If the highest individual score is shared by at least one player from each team, the market will resolve to Draw.
- The market will resolve according to which team's player records the highest individual run total regardless of if the match is not competed (e.g. Due to weather conditions).
- DLS/DRS adjustments and any other on-field rulings affecting batting statistics are treated as ordinary data.
