TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 12, 2:28 PM EST
Polymarket
Player props for the Serie A game between SS Lazio and AC Milan, scheduled for September 12, 2026 at 12:00 PM ET.
Player props for the Serie A game between SS Lazio and AC Milan, scheduled for September 12, 2026 at 12:00 PM ET.
Prediction market odds often reflect the wisdom of the crowd, potentially offering a different perspective than traditional sportsbooks. Sportsbooks set lines based on their own models and aim to balance action on both sides, while this market is driven by individuals willing to put their capital behind their beliefs. Therefore, you may find discrepancies between the implied probabilities in this market and those offered by sportsbooks. It’s always wise to compare odds from various sources to make informed decisions, and this market can be a valuable data point in that process.
On Polymarket, this market is priced through a continuous auction mechanism where traders buy and sell shares representing their belief in the likelihood of different player prop outcomes. The price of a share directly corresponds to the implied probability of that outcome occurring. As more traders buy into a particular outcome, its price increases, and vice versa. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. This dynamic pricing reflects the collective intelligence of the market participants and adjusts in real-time based on new information and sentiment.
This market resolves around Sep 12, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Resolution will be based on the official statistics released following the SS Lazio vs. AC Milan match, specifically focusing on the player performance metrics outlined in the individual prop bets. The platform will verify the results against trusted sources to ensure accuracy and determine the winning shares in this market.
Several factors could influence the trading activity in this market. Any news regarding player injuries, changes in team lineups, or even weather conditions could significantly shift the perceived probabilities. Unexpected announcements about player form or tactical adjustments made by either manager could also trigger movement. Additionally, large-volume trades by influential market participants could create momentum and drive price changes, so monitoring the trading activity itself is a key signal to watch as the match approaches.