TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 12, 10:30 AM EST
Kalshi
This event group covers a Norway Eliteserien soccer match between KFUM-Kameratene Oslo and FK Bodø/Glimt scheduled for July 12, 2026. Markets span spread bets, total goals (full match and by half), team-specific scoring, and both-teams-to-score outcomes, all resolving based on the official final score within 90 minutes plus stoppage time.
More markets for the Norway Eliteserien game, scheduled for July 12 at 8:30 AM ET.
Resolution is based on the outcome of the KFUM Oslo vs Bodoe/Glimt professional Eliteserien soccer game originally scheduled for Jul 12, 2026 after 90 minutes plus stoppage time (excluding extra time or penalties). A draw after regulation time resolves the Tie market to Yes. If the game is cancelled or rescheduled to over two weeks away, the market resolves to a fair price in accordance with the rules.
Prediction markets and sportsbooks price outcomes using different mechanisms. Sportsbooks set odds to balance their book and lock in profit margins, while prediction markets rely on trader consensus—buy and sell orders from participants who profit when they forecast correctly. This market often reflects sharper, less biased estimates because traders have direct financial incentive to be accurate. Comparing this market's implied probabilities to traditional sportsbook lines can reveal where public perception diverges from market-derived consensus.
On Polymarket, traders price a spread-based outcome, while Kalshi frames the question as a head-to-head winner bet. Polymarket and Kalshi can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Different user bases, liquidity pools, and fee structures also influence pricing. Polymarket may attract sophisticated bettors focused on margin outcomes, whereas Kalshi draws participants seeking simpler binary predictions. These structural and demographic differences mean the same underlying event can trade at materially different implied probabilities across venues, creating arbitrage opportunities for alert traders.
Team news—injuries, suspensions, or lineup changes—typically shifts odds significantly. Recent form, head-to-head records, and home-field advantage also influence trader sentiment. Weather conditions on match day, late betting action, and public money flows can accelerate price moves in the final hours. Major injuries announced close to kickoff or unexpected team roster decisions often trigger sharp repricing. Monitor team social media, sports news outlets, and betting volume spikes on both platforms to catch catalysts before they're fully priced in.