TOTAL VOLUME:
$134.2b
24H VOL:
$143,246,370
24H TRANSACTIONS:
2,403,290,006
OPEN INTEREST:
$1,452,035,386
405,032
Markets across
30,543
events
MATCHED EVENTS:
2,690
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 28, 11:07 PM EST
Kalshi
This event group covers the possible halftime outcomes of the New York Red Bulls vs. Philadelphia Union soccer match scheduled for August 29, 2026. The markets focus on whether New York Red Bulls lead at halftime, whether the match ends in a draw at halftime, or whether Philadelphia Union leads at halftime.
In the upcoming MLS game between New York Red Bulls and Philadelphia Union, scheduled for August 29, 2026 at 7:30 PM ET: This event contains halftime result markets for home, draw, and away outcomes within the first 45 minutes of regular play plus stoppage time.
If Philadelphia wins the 2nd Half (excluding overtime) of the Cincinnati vs Philadelphia Pro Football game originally scheduled for Aug 28, 2026, then the market resolves to Yes. If Cincinnati wins the 2nd Half (excluding overtime) of the Cincinnati vs Philadelphia Pro Football game originally scheduled for Aug 28, 2026, then the market resolves to Yes. If neither team wins the 2nd Half (excluding overtime) of the Cincinnati vs Philadelphia Pro Football game originally scheduled for Aug 28, 2026, then the market resolves to Yes.
Prediction market odds often differ from traditional sportsbook lines because they reflect the aggregated beliefs of informed participants rather than set probabilities. In this market, the pricing can be more volatile and may incorporate insider insights or recent team performance trends that sportsbooks haven’t fully adjusted for. Additionally, prediction markets sometimes show sharper contrasts between outcomes, especially when there’s uncertainty about halftime dynamics.
On Polymarket and Kalshi, prices can vary due to differences in user bases, liquidity, and trading activity. 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. Each platform may also have unique market designs or fee structures that influence how traders place bets. For example, one venue might attract more casual bettors, while another draws professional traders, leading to divergent views on the same halftime scenario.
Injuries, weather conditions, or recent performance trends leading up to the match can all shift expectations for halftime momentum. Key player absences or last-minute tactical changes may also sway trader sentiment. As the game draws closer, any news about starting lineups or coaching strategies could cause rapid adjustments in this market, reflecting updated probabilities for each possible halftime result.