Table of Contents
Introduction: Outsmarting the Competition with Strategic Survivor Grid Use
Understanding the NFL Survivor Grid at a Strategic Level
Analyzing Opponent Behavior Through the Grid
Expected Value (EV) and Game Theory in Survivor Pools
Advanced Strategies Using Real-Life Examples
Contrarian Picks to Gain an Edge
Utilizing Bye Weeks Strategically
Monitoring Line Movement and Betting Odds
Overvaluing Home Field Advantage
Ignoring Team Motivation and Context
Information Asymmetry Exploitation
Introduction: Outsmarting the Competition with Strategic Survivor Grid Use
NFL Survivor Pools are simple in concept but complex in execution. To win, you need more than just picking the most likely winner each week. You need to think several steps ahead, anticipate your opponents' moves, and make strategic decisions that others might overlook. This guide will provide you with advanced strategies, using the NFL Survivor Grid as a tool to outmaneuver your competition.
Understanding the NFL Survivor Grid at a Strategic Level
The NFL Survivor Grid isn't just a schedule—it's a strategic map that, when used effectively, can significantly increase your chances of winning.
Analyzing Opponent Behavior Through the Grid
Strategy: Anticipate which teams your opponents are likely to pick each week based on public perception and use this to your advantage.
Example: In the 2020 season, Week 9, the Pittsburgh Steelers were 7-0 and faced the struggling Dallas Cowboys with a 2-6 record. The Steelers were a popular pick, with over 50% of pool participants selecting them. However, the Cowboys nearly pulled off an upset, losing only 24-19. Those who avoided the Steelers that week would have had a significant advantage if the upset occurred.
Application: Use the grid to identify weeks where a heavily favored team is likely to attract the majority of picks. Consider selecting an alternative team with a high win probability but lower pick popularity to differentiate yourself.
Expected Value (EV) and Game Theory in Survivor Pools
Strategy: Calculate the expected value of each pick by considering both the probability of the team winning and the percentage of participants likely to choose that team.
Example: In Week 4 of the 2017 season, the Atlanta Falcons were heavy favorites against the Buffalo Bills. Most participants picked the Falcons. However, the Bills won 23-17. Participants who selected a different team, like the Seattle Seahawks who beat the Indianapolis Colts 46-18, advanced while a large portion of the pool was eliminated.
Application: By selecting a less popular team with a high chance of winning, you maximize your expected value. Use the Survivor Grid to identify these opportunities.
Future Value of Teams
Strategy: Assess the future value of strong teams and decide whether to use them now or save them for later when they might be more valuable.
Example: In 2019, the New England Patriots had an easy early-season schedule but faced tougher opponents later on. Some participants used them early, but those who saved the Patriots for later weeks, such as Week 11 against the Philadelphia Eagles, had a strong pick when options were limited.
Application: Use the grid to project when strong teams have favorable matchups in later weeks and plan accordingly.
Advanced Strategies Using Real-Life Examples
Contrarian Picks to Gain an Edge
Strategy: When you anticipate that the majority will pick a certain team, choosing a different team can set you apart.
Example: In Week 3 of 2018, the Minnesota Vikings were heavily favored against the winless Buffalo Bills, with over 60% of participants picking the Vikings. In a shocking upset, the Bills won 27-6. Participants who chose another team, like the Kansas City Chiefs who won 38-27 against the San Francisco 49ers, advanced while most of the pool was eliminated.
Application: Identify weeks where a popular pick might be overvalued and select a reliable alternative to gain a significant advantage if an upset occurs.
Double Elimination Weeks
Strategy: Some Survivor Pools offer a "double elimination" week, where participants can re-enter after a loss. Use this to make a high-risk, high-reward pick.
Example: In leagues where Week 2 is a double elimination week, taking a risk on an underdog with potential upside can pay off. If the pick fails, you remain in the game, but if it succeeds, you gain an edge over those who played it safe.
Utilizing Bye Weeks Strategically
Strategy: Plan around bye weeks to ensure you have strong teams available when others might have limited options.
Example: In Week 7 of the 2021 season, six teams had byes, including popular picks like the Buffalo Bills and Dallas Cowboys. Participants who planned ahead used mid-tier teams with favorable matchups, such as the New England Patriots against the New York Jets, who won 54-13.
Application: Use the Survivor Grid to identify weeks with multiple byes and plan your picks to avoid being forced into risky selections.
Monitoring Line Movement and Betting Odds
Strategy: Pay attention to Vegas betting lines and line movements to gauge team strengths and potential upsets.
Example: In Week 10 of 2020, the Green Bay Packers were favored over the Jacksonville Jaguars by 13.5 points. However, late line movement showed the spread decreasing to 10 points due to weather conditions and injuries. The Packers narrowly won 24-20, failing to cover the spread and almost losing the game.
Application: Sudden line movements can indicate potential issues. Avoid picking teams with significant negative line movements.
Avoiding Advanced Pitfalls
The Sunk Cost Fallacy
Strategy: Don't stick with a planned pick if new information suggests it's a bad idea.
Example: If you planned to pick the Chicago Bears in Week 8 but their starting quarterback is injured mid-week, reassess your choice. Stubbornly sticking to your plan despite negative developments can lead to elimination.
Overvaluing Home Field Advantage
Strategy: While home field can be beneficial, it's not a guarantee, especially in divisional games or when teams are mismatched.
Example: In 2020, home teams had a losing record overall due to the lack of fans during the pandemic. Participants who adjusted for this factor had better success.
Ignoring Team Motivation and Context
Strategy: Consider the team's motivation, such as playoff contention, rivalry games, or a desire to avoid a winless season.
Example: In Week 15 of the 2020 season, the New York Jets were 0-13 but defeated the Los Angeles Rams 23-20. The Jets were motivated to avoid a winless season, and the Rams may have underestimated them.
Advanced Planning Techniques
Scenario Mapping
Strategy: Create a decision tree mapping out different scenarios based on possible game outcomes.
Example: If you pick Team A in Week 5 and they win, plan for Team B in Week 6. If Team A loses, you may be eliminated, but if you survive, you know your next move.
Pool Size Consideration
Strategy: Adjust your strategies based on the size of your pool. In larger pools, taking calculated risks can pay off more.
Example: In a pool with over 1,000 participants, differentiating yourself with strategic picks is essential. In smaller pools, playing it safer may be more effective.
Information Asymmetry Exploitation
Strategy: Use information that others might not consider, such as advanced analytics or insider reports.
Example: If you have access to detailed injury reports or practice performance insights, you can make more informed decisions than your competitors.
Case Study: Strategic Victory in a Large Survivor Pool
Background: In 2019, a participant won a Survivor Pool with over 2,000 entries, taking home a significant prize by employing advanced strategies.
Steps Taken:
- Weeks 1-3: Chose solid favorites but avoided the most popular picks to reduce risk if an upset occurred.
- Week 4: Noticed that over 50% of participants picked the Los Angeles Rams against the Tampa Bay Buccaneers. Chose the Seattle Seahawks instead. The Rams lost 55-40, eliminating half the pool.
- Mid-Season Adjustments: Saved elite teams like the New Orleans Saints and Baltimore Ravens for later weeks when matchups were more favorable and options were limited.
- Late Season: With fewer participants and teams available, the participant analyzed opponents' likely picks and chose teams accordingly to maximize the chance of outlasting them.
- Final Weeks: Utilized hedging by placing bets against his own picks to ensure a financial return regardless of the pool's outcome.