Sunrisers Hyderabad host Lucknow Super Giants in IPL 2026's 10th match at Rajiv Gandhi International Stadium, both teams winless after opening losses—SRH crushed by six wickets to RCB on March 28 (NRR -2.907), LSG falling similarly to DC yesterday where captain Rishabh Pant suffered an early run-out experimenting as opener. SRH's bowling reels without injured captain Pat Cummins (back issue, mid-season return eyed), leaning on Ishan Kishan's leadership, Abhishek Sharma's form, and home batting-friendly pitch favoring high scores. LSG's pace unit faces scrutiny amid prior injury woes like Mayank Yadav's fitness, but Nicholas Pooran looms large; head-to-head even (LSG slight edge historically), with dew and momentum key factors.
Resumen experimental generado por IA con datos de Polymarket · Actualizado

This market resolves according to the finalized match result as published by https://www.espncricinfo.com/.
DLS/DRS, over-rate penalties, forfeit/walkover, or any other on-field ruling that leads the competition to declare a winner are treated as ordinary wins.
If the match ends tied and the playing conditions provide an on-field tiebreak (e.g., Super Over), the winner determined by that tiebreak will be used for resolution. If the match ends tied and no on-field tiebreak is used or available under the playing conditions (e.g., group-stage ODI with no Super Over), the market will resolve 50-50.
If the match is postponed/rescheduled, the market remains open until the listed fixture is completed. If the match is permanently canceled or abandoned or otherwise is completed without a winner, the market resolves 50-50.
The primary resolution source for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead.
Mercado abierto: Mar 29, 2026, 12:01 PM ET
Fuente de resolución
https://www.espncricinfo.com/Resolver
0x65070BE91...

This market resolves according to the finalized match result as published by https://www.espncricinfo.com/.
DLS/DRS, over-rate penalties, forfeit/walkover, or any other on-field ruling that leads the competition to declare a winner are treated as ordinary wins.
If the match ends tied and the playing conditions provide an on-field tiebreak (e.g., Super Over), the winner determined by that tiebreak will be used for resolution. If the match ends tied and no on-field tiebreak is used or available under the playing conditions (e.g., group-stage ODI with no Super Over), the market will resolve 50-50.
If the match is postponed/rescheduled, the market remains open until the listed fixture is completed. If the match is permanently canceled or abandoned or otherwise is completed without a winner, the market resolves 50-50.
The primary resolution source for this market is the official statistics of the event as recognized by the governing body or event organizers. However, if the governing body or event organizers have not published final match statistics within 2 hours after the event's conclusion, a consensus of credible reporting may be used instead.
Mercado abierto: Mar 29, 2026, 12:01 PM ET
Fuente de resolución
https://www.espncricinfo.com/Resolver
0x65070BE91...Sunrisers Hyderabad host Lucknow Super Giants in IPL 2026's 10th match at Rajiv Gandhi International Stadium, both teams winless after opening losses—SRH crushed by six wickets to RCB on March 28 (NRR -2.907), LSG falling similarly to DC yesterday where captain Rishabh Pant suffered an early run-out experimenting as opener. SRH's bowling reels without injured captain Pat Cummins (back issue, mid-season return eyed), leaning on Ishan Kishan's leadership, Abhishek Sharma's form, and home batting-friendly pitch favoring high scores. LSG's pace unit faces scrutiny amid prior injury woes like Mayank Yadav's fitness, but Nicholas Pooran looms large; head-to-head even (LSG slight edge historically), with dew and momentum key factors.
Resumen experimental generado por IA con datos de Polymarket · Actualizado
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