📅 ALERT SENT TO SUBSCRIBERS
February 21, 2026 at 08:16 PM
Before the outcome was obvious to the market
📈
ALERT #379686
+31.2% ROI

Penn Quakers vs. Yale Bulldogs: 31.2% ROI - Polyburg Analysis[Side: Yale Bulldogs]

On February 21, 2026 at 08:16 PM, Polyburg sent an alert to subscribers about the Penn Quakers vs. Yale Bulldogs basketball game. This alert came from tracking BoomLaLa, one of the elite wallets in our monitoring system, yielding a 31.2% ROI with a profit of $441.94 from an investment of $1414.68. Although the Yale Bulldogs were favored, their narrow victory on their home court led to exciting market dynamics, highlighting the importance of tracking experienced traders in navigating these prediction markets.

PERFORMANCE_BREAKDOWN

ROI
+31.2%
Profit/Loss
$441.94
Investment
$1,414.68
Outcome
PROFIT
TRADER
BoomLaLa
0xe40172...417b88

MARKET_ANALYSIS

The Polymarket for the Penn Quakers vs. Yale Bulldogs game on February 21, 2026, was thrilling due to the contrasting fortunes of the teams. Yale, the home favorite with a -9.5 to -10.5 spread, was facing the Quakers in a matchup filled with intrigue, given Penn's recent form but poor road performance. This particular market was of interest to Polyburg subscribers as it promised both drama and opportunity for astute traders. We specifically followed BoomLaLa, known for consistent success in similar markets. With a methodical approach honed by our proprietary machine learning algorithm, BoomLaLa's trades in this market exemplified their ability to identify inefficiencies and seize profitable outcomes. Our AI detected key signals from BoomLaLa's trades, including a strategic position size aligned with a conviction score of 5.0/10, marking a calculated yet lucrative play. The game unfolded with Penn initially leading 40-35, only for Yale to secure a narrow 74-70 victory, failing to cover the spread but reflecting the predicted market tension. BoomLaLa's decision-making and Polyburg's tracking highlighted the nuanced lessons of timing and analytical prowess necessary in such prediction markets. Polyburg remains committed to tracking these opportunities, offering insights into trader strategies. Learn more in our FAQ: https://polyburg.com/#faq

HOW_POLYBURG_WORKS

Polyburg uses advanced AI & Machine Learning to track elite Polymarket traders and identify high-conviction opportunities before they become obvious to the market.

Our Methodology:

  • Monitor 99+ elite trader wallets in real-time using proprietary V3 ML algorithm
  • Track actual positions, win rates, and profit patterns across markets
  • Apply anti-bot filters to ensure only quality traders make our rankings
  • Reranks top smart wallets every 24hrs to focus on the hottest traders
  • Calculate conviction scores (1-10) based on position size, timing, and trader performance
  • Send instant Telegram alerts when top-ranked traders make significant moves

This alert came from tracking BoomLaLa, one of the elite wallets in our monitoring system. Our system detected strong signals in their position on this market, sending the alert to subscribers on February 21, 2026 at 08:16 PM.

Learn More About Our Methodology →

⚠️ DISCLAIMER: Past performance does not guarantee future results. This case study is for educational purposes only and is not financial advice. Prediction markets involve substantial risk of loss. Always conduct your own research.

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