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%

BETA
Dashboards
Insights
Indices
Tour
All
Trending
Breaking
New
Ending Soon
Politics
Sports
Crypto
Companies
Elections
Financials
Economics
Other
Entertainment
Science and Technology
Bucknell Bison vs. Boston Terriers
kalshi
polymarket

Bucknell Bison vs. Boston Terriers

Volume:
$220,065

Boston University

 - Kalshi

Boston University - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Feb 14, 2026

Closed: Feb 14, 4:00 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

Boston University

View
100%
Yes 100¢No 0¢
—
$8,750
$56,678
N/A
N/A
$42,809
Settled
Yes
kalshi

Bucknell

View
0%
Yes 0¢No 100¢
—
$9,680
$25,052
N/A
N/A
$18,187
Settled
No
polymarket

O/U 140.5

100%
Yes 100¢No 0¢
—
N/A
$82,900
0%
N/A
N/A
N/A
polymarket

O/U 141.5

100%
Yes 100¢No 0¢
—
N/A
$39,579
0%
N/A
N/A
N/A
polymarket

Spread -6.5

100%
Yes 100¢No 0¢
—
N/A
$625
0%
N/A
N/A
N/A
polymarket

O/U 139.5

100%
Yes 100¢No 0¢
—
N/A
$182
0%
N/A
N/A
N/A
polymarket

Spread -5.5

100%
Yes 100¢No 0¢
—
N/A
$122
0%
N/A
N/A
N/A
polymarket

Bucknell Bison vs. Boston Terriers

0%
Yes 0¢No 100¢
—
N/A
$14,928
0%
N/A
N/A
N/A
Total markets: 8

Description

A men's college basketball game between Bucknell Bison and Boston Terriers scheduled for February 14, 2026 at 1:00 PM ET at Boston University. Markets cover moneyline (winner), point spread outcomes at multiple thresholds, and total points over/under at multiple lines.

PredictionHero - Resolution Divergence Alerts (RDA)

Unified Resolution Criteria (Consistent across platforms)

Both Kalshi and Polymarket align on the same game, date, time, and resolution methodology. All edge cases (postponement, cancellation, overtime inclusion) are consistently defined across platforms.Primary resolution logic: Official NCAA game records and final score as reported by Boston University Athletics and Bucknell University Athletics

Core resolution logic:

  • Moneyline: Resolves to the team with the higher final score (Kalshi resolves Yes for either winner; Polymarket resolves to winner name)
  • Point Spread (-6.5): Boston Terriers wins if they win by 7+ points; otherwise Bucknell Bison
  • Point Spread (-5.5): Boston Terriers wins if they win by 6+ points; otherwise Bucknell Bison
  • Over/Under 139.5: Over if combined score is 140+; Under if less than 140
  • Over/Under 140.5: Over if combined score is 141+; Under if less than 141
  • Over/Under 141.5: Over if combined score is 142+; Under if less than 142
  • All scoring includes overtime periods in the final tally

Edge cases & clarifications:

  • Game Postponement: If the game is postponed, all markets remain open and unresolved until the game is completed on a future date. Resolution occurs based on the final score whenever the game is played.
  • Game Cancellation: If the game is canceled entirely with no makeup game scheduled, all markets resolve 50-50 (split pool equally between Yes/No or equivalent outcomes).
  • Overtime: All final scores include any overtime periods played. The market resolves on the final score after all overtime is complete.
Timing: Resolution occurs on February 14, 2026 after the game concludes, or on the rescheduled date if postponed. Markets remain open until official final score is 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.