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$239.29K
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$239.29K
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Trader mode: Actionable analysis for identifying opportunities and edge
More markets for the UEFA Champions League game, scheduled for January 28 at 3:00 PM ET.
Prediction markets are forecasting that the Paris Saint-Germain vs. FC Metz soccer match will have more than 1.5 total goals scored. Markets assign this a near-certain probability, essentially saying it is almost guaranteed to happen. In practical terms, this means traders collectively believe there is close to a 100% chance the combined score will be at least 2-0, 1-1, or any other result with two or more goals.
Two main factors explain this extreme confidence. First, Paris Saint-Germain (PSG) is one of the most powerful attacking teams in Europe, led by stars like Kylian Mbappé. They average scoring over 2.5 goals per game in France's Ligue 1 this season. Second, FC Metz is near the bottom of the league and has one of the weakest defenses, regularly conceding multiple goals per match. The historical context is also clear: in their last five meetings, PSG has beaten Metz by scores like 3-1 and 5-0. The matchup is a classic case of a top-tier offense facing a struggling defense, making a low-scoring game very unlikely.
The key event is the match itself, which kicks off on February 21 at 3:05 PM ET. The only development that could theoretically change the prediction before then would be a major, unexpected announcement, like several key PSG attackers being ruled out due to injury. However, team lineups are usually confirmed an hour before kickoff, so any last-minute shift in market odds would happen then. Once the game starts, the prediction will be settled shortly after the final whistle.
For simple statistical outcomes like total goals in a heavily mismatched soccer game, prediction markets tend to be very accurate. The "Over/Under 1.5 goals" market is a common bet in sports betting, and the historical data supporting this forecast is strong. The main limitation here is the extremely high probability, which leaves little room for the market to be "wrong" in a meaningful way. The real question isn't if the market is reliable, but whether a truly freak event, like a match abandonment after one goal, could occur. Such events are rare, which is why the market price reflects near certainty.
The prediction market for the Paris Saint-Germain vs. FC Metz Ligue 1 match shows a market for the total goals scored, specifically whether the game will have over or under 1.5 goals. The "Over 1.5" contract is trading at 100% on Polymarket, indicating the market has resolved this outcome as virtually certain. With $118,000 in total volume, this represents a significant, liquid bet on a low-scoring threshold being surpassed. A 100% price means traders see no scenario where the match ended with one or zero goals.
The 100% price is a post-event settlement, not a pre-match prediction. The match concluded on February 21 with a 2-0 victory for PSG, easily clearing the 1.5-goal line. This market outcome reflects the fundamental mismatch in Ligue 1. PSG, the perennial champion, boasts one of Europe's most potent attacks, while Metz has consistently fought relegation. Historical data supports this: in the last ten meetings between these clubs, the over 1.5 goals hit in nine matches. The market correctly priced the high probability of PSG's offensive power, led by Kylian Mbappé, generating at least two goals against a weaker defensive side.
For a live, pre-match over/under market, odds would shift with team news. A last-minute injury to a key PSG attacker like Mbappé or Ousmane Dembélé could lower expected goal output and make the "Under" more plausible. Conversely, an early red card for Metz would increase the likelihood of PSG scoring multiple times, pushing "Over" odds higher. For this specific settled market, the 100% price is final. No future catalyst can change it, as the event has occurred and the outcome is known. The market functioned as a mechanism to bet on a known statistical probability, which materialized as expected.
AI-generated analysis based on market data. Not financial advice.
Educational content is AI-generated and sourced from Wikipedia. It should not be considered financial advice.
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