TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Rhode Island Rams vs. Duquesne Dukes
kalshi
polymarket

Rhode Island Rams vs. Duquesne Dukes

Volume:
$2,729,984

Duquesne

 - Kalshi

Duquesne - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Mar 13, 2026

Closed: Mar 12, 8:00 PM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

Duquesne

View
100%
Yes 100¢No 0¢
—
N/A
$1,440,764
N/A
N/A
$1,044,315
Settled
Yes
polymarket

Spread -1.5

100%
Yes 100¢No 0¢
—
N/A
$7,186
N/A
N/A
N/A
Settled
Yes
polymarket

Spread -2.5

100%
Yes 100¢No 0¢
—
N/A
$2,400
N/A
N/A
N/A
Settled
Yes
kalshi

Rhode Island

0%
Yes 0¢No 100¢
—
N/A
$1,158,826
N/A
N/A
$757,327
Settled
No
polymarket

Rhode Island Rams vs. Duquesne Dukes

0%
Yes 0¢No 100¢
—
N/A
$86,145
N/A
N/A
N/A
Settled
No
polymarket

O/U 135.5

0%
Yes 0¢No 100¢
—
N/A
$16,725
N/A
N/A
N/A
Settled
No
polymarket

O/U 138.5

0%
Yes 0¢No 100¢
—
N/A
$14,513
N/A
N/A
N/A
Settled
No
polymarket

O/U 136.5

0%
Yes 0¢No 100¢
—
N/A
$2,479
N/A
N/A
N/A
Settled
No
polymarket

O/U 137.5

0%
Yes 0¢No 100¢
—
N/A
$946
N/A
N/A
N/A
Settled
No
Total markets: 9

Description

This event group covers a men's college basketball game between the Rhode Island Rams and Duquesne Dukes scheduled for March 12, 2026 at 5:00 PM ET at Duquesne. Markets include moneyline, multiple spread variations, and total points over/under at different thresholds.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both platforms use identical final-score-based resolution with consistent handling of postponements (remain open) and cancellations (50-50 split), with all outcomes determined including overtime.Primary resolution logic: Official final score of the Rhode Island Rams vs. Duquesne Dukes men's college basketball game as recorded by NCAA and official game records

Core resolution logic:

  • Moneyline: Rhode Island Rams win resolves to Rhode Island Rams; Duquesne Dukes win resolves to Duquesne Dukes
  • Spread (-2.5): Duquesne wins by 3+ points resolves to Duquesne Dukes; otherwise resolves to Rhode Island Rams
  • Spread (-1.5): Duquesne wins by 2+ points resolves to Duquesne Dukes; otherwise resolves to Rhode Island Rams
  • Over/Under 138.5: Combined score 139+ resolves to Over; 138 or less resolves to Under
  • Over/Under 137.5: Combined score 138+ resolves to Over; 137 or less resolves to Under
  • Over/Under 136.5: Combined score 137+ resolves to Over; 136 or less resolves to Under
  • Over/Under 135.5: Combined score 136+ resolves to Over; 135 or less resolves to Under
  • All resolutions include overtime periods in final score calculation

Edge cases & clarifications:

  • Game Postponement: If the game is postponed, all markets remain open until the game is completed and a final score is recorded
  • Game Cancellation: If the game is canceled entirely with no makeup game scheduled, all markets resolve 50-50
  • Overtime: All final scores include any overtime periods played; resolution thresholds apply to the complete final score
Timing: Resolution occurs immediately upon completion of the game on March 12, 2026, or on the rescheduled date if postponed. If canceled with no makeup, resolution occurs when cancellation is officially confirmed.Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.