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Super Bowl LXI 2027 Prediction Markets: Early NFL Odds

TL;DR

Prediction markets currently price the Kansas City Chiefs at 12-14% implied probability to win Super Bowl LXI (February 2027), making them the early favorite. The Detroit Lions, Buffalo Bills, and Philadelphia Eagles cluster at 8-10% each. Historical analysis shows prediction markets outperform Vegas sportsbooks by 3-5% in calibration accuracy for NFL futures, particularly after the NFL Draft when roster clarity improves.

TL;DR

Prediction markets currently price the Kansas City Chiefs at 12-14% implied probability to win Super Bowl LXI (February 2027), making them the early favorite. The Detroit Lions, Buffalo Bills, and Philadelphia Eagles cluster at 8-10% each. Historical analysis shows prediction markets outperform Vegas sportsbooks by 3-5% in calibration accuracy for NFL futures, particularly after the NFL Draft when roster clarity improves. The best value typically emerges in the June-August window when public attention fades and liquidity thins. OctoTrend's AI signals flag several teams whose current market prices diverge significantly from model-projected win totals.


Why Prediction Markets Matter for Super Bowl Futures

Prediction markets are the most efficient publicly available tool for forecasting NFL outcomes. Unlike Vegas sportsbooks, which embed a 5-15% vig (overround) into their lines, prediction markets price outcomes at or near true implied probability. When you buy a "Chiefs win Super Bowl LXI" share at $0.13, the market is telling you there is approximately a 13% chance Kansas City wins it all.

This matters for two reasons. First, prediction market prices aggregate information from a wider participant base than any single sportsbook model. Traders bring diverse expertise โ€” salary cap analysts, film study grinders, injury probability modelers, and domain experts across every team โ€” and the resulting price reflects all of these inputs simultaneously. Second, prediction market prices update continuously as new information arrives, from free agency signings to OTA injury reports, creating a real-time probability tracker for the entire NFL landscape.

For a detailed explanation of how to interpret these prices, see our guide on how to read prediction market odds.


Current Super Bowl LXI Prediction Market Odds

The following table reflects aggregated prediction market pricing across major platforms as of May 2026. These odds will shift significantly between now and the September 2026 season opener โ€” that volatility is itself a trading opportunity.

| Team | Implied Probability | Market Price | Tier | Key Factor | |---|---|---|---|---| | Kansas City Chiefs | 13.5% | $0.135 | Elite | Mahomes + dynasty continuity | | Detroit Lions | 10.2% | $0.102 | Contender | Offensive depth, draft capital | | Buffalo Bills | 9.4% | $0.094 | Contender | Josh Allen MVP window | | Philadelphia Eagles | 8.8% | $0.088 | Contender | Defensive front dominance | | Baltimore Ravens | 7.6% | $0.076 | Contender | Lamar Jackson dual-threat | | San Francisco 49ers | 6.1% | $0.061 | Playoff Tier | Health concerns, roster turnover | | Green Bay Packers | 5.5% | $0.055 | Playoff Tier | Jordan Love trajectory | | Dallas Cowboys | 4.3% | $0.043 | Playoff Tier | Offensive weapons upside | | Houston Texans | 4.0% | $0.040 | Playoff Tier | Stroud sophomore leap | | Cincinnati Bengals | 3.8% | $0.038 | Playoff Tier | Burrow health dependent |

Key observation: The top four teams account for roughly 42% of the total probability, leaving 58% distributed across the remaining 28 teams. This distribution is historically typical โ€” in any given NFL season, the eventual Super Bowl champion comes from outside the preseason top four approximately 40% of the time. That means there is substantial value lurking in the mid-tier and long-shot tiers.


AFC Contender Analysis

Kansas City Chiefs: The Dynasty Price Premium

The Chiefs' market price includes a "dynasty premium" that may represent mispricing. At $0.135, Kansas City commands the highest implied probability of any team, reflecting Patrick Mahomes' track record of four Super Bowl appearances and three victories in the past seven seasons. The market is pricing continuity โ€” and continuity is a real edge in the NFL.

But dynasties face headwinds. The Chiefs lost key contributors in the 2026 offseason, including defensive starters who departed in free agency. The salary cap forces difficult choices every year, and Kansas City has been operating near the cap ceiling for three consecutive seasons. While Andy Reid's coaching and Mahomes' transcendent ability compensate for roster gaps, the 2026 Chiefs may have fewer margin-for-error games than previous iterations.

OctoTrend model assessment: Our AI-powered analysis projects the Chiefs at 11.5-12.5 wins, suggesting their current market price is approximately fair. The dynasty premium is real but fully priced in.

Buffalo Bills: Josh Allen's Closing Window

The Bills represent the strongest "now or never" narrative in the AFC. Josh Allen is entering his prime athletic years but has yet to win a Super Bowl, and Buffalo's roster construction is optimized for a 2026-2027 championship push. The team invested heavily in defensive upgrades and offensive line protection this offseason.

At $0.094, the Bills are priced as the second-most-likely AFC champion. The market is implicitly saying Allen's elite play elevates a good roster to a great one. Historical data supports this โ€” in prediction markets, teams with elite quarterbacks in their prime (ages 27-31) consistently outperform their regular-season records in playoff settings.

The risk factor is Buffalo's January track record. The Bills have lost in the divisional round or later in four of the past six seasons, raising questions about whether the team has a structural playoff ceiling.

Baltimore Ravens: The Dual-Threat Discount

Lamar Jackson's market price has historically been undervalued in prediction markets, and 2027 may be no different. Jackson is the most dynamic quarterback in the NFL, and the Ravens' running game creates a schematic advantage that is difficult to replicate in a one-week playoff preparation window.

At $0.076, Baltimore offers potentially the best value among AFC contenders. The Ravens' win total projection (11.5-12 wins) suggests their true Super Bowl probability may be closer to 9-10%, creating a 2-3 cent gap that represents a meaningful edge.

Cincinnati Bengals: The Health Discount

At $0.038, the Bengals represent a classic "discount for injury risk" scenario. Joe Burrow's injury history has depressed Cincinnati's market price, but when healthy, Burrow's playoff performance (7-3 career record, 2 AFC Championship appearances) places him in the elite quarterback tier. If Burrow enters September fully healthy, the Bengals' price could double before Week 1.

| AFC Team | Win Total Projection | Playoff Probability | SB Implied Prob | Value Assessment | |---|---|---|---|---| | Kansas City Chiefs | 11.5-12.5 | 88% | 13.5% | Fair price | | Buffalo Bills | 11.0-12.0 | 85% | 9.4% | Slight undervalue | | Baltimore Ravens | 11.5-12.0 | 86% | 7.6% | Undervalued | | Houston Texans | 10.0-11.0 | 72% | 4.0% | Fair price | | Cincinnati Bengals | 9.5-10.5 | 62% | 3.8% | Health-contingent value | | Miami Dolphins | 9.0-10.0 | 55% | 2.5% | Fair price |


NFC Contender Analysis

Detroit Lions: The Emerging Powerhouse

Detroit is the most interesting NFC market from a trading perspective. The Lions have transformed from a perennial bottom-dweller into a legitimate Super Bowl contender over the past three seasons, accumulating draft capital and developing offensive talent at an elite rate. At $0.102, the market reflects this transformation โ€” but questions remain about whether the defense can sustain playoff-level performance.

The Lions' offensive scheme, built around versatility and mismatches, has proven difficult for defenses to prepare for in single-game playoff formats. Detroit's 2025 playoff run demonstrated this, and the team returns most of its offensive core for 2026.

Philadelphia Eagles: Defensive Identity as a Floor

The Eagles' prediction market price ($0.088) reflects a team with one of the highest floors in the NFC. Philadelphia's defensive front generates pressure at an elite rate regardless of opponent, creating a baseline competitiveness that makes them a tough out in any playoff game. The question is whether the offense can produce enough to win shootouts against Kansas City or Buffalo in a Super Bowl scenario.

Historical prediction market data shows that teams with elite defenses and above-average offenses tend to be underpriced in Super Bowl futures markets. The public gravitates toward high-scoring offensive teams, leaving defensive powerhouses undervalued.

San Francisco 49ers: The Injury Regression Concern

At $0.061, the 49ers represent a significant discount from their 2024-2025 market prices when they were priced as co-favorites. The drop reflects roster turnover, key free agency departures, and lingering concerns about injury patterns among core players. Brock Purdy's development trajectory will determine whether this price represents a buying opportunity or a fair assessment of a declining roster.

Green Bay Packers: The Quarterback Development Bet

Green Bay at $0.055 is a bet on Jordan Love's trajectory. If Love takes a Year 3/4 leap into the elite tier (as Josh Allen and Jalen Hurts did), the Packers' price should be 8-10%, making current prices a significant bargain. If Love plateaus as a good-not-great starter, the current price is approximately fair.

| NFC Team | Win Total Projection | Playoff Probability | SB Implied Prob | Value Assessment | |---|---|---|---|---| | Detroit Lions | 11.0-12.0 | 84% | 10.2% | Fair to slight overvalue | | Philadelphia Eagles | 10.5-11.5 | 80% | 8.8% | Potential undervalue | | San Francisco 49ers | 9.5-10.5 | 65% | 6.1% | Health-contingent | | Green Bay Packers | 10.0-11.0 | 72% | 5.5% | QB-trajectory dependent | | Dallas Cowboys | 9.5-10.5 | 60% | 4.3% | Fair price | | Minnesota Vikings | 9.0-10.0 | 55% | 2.8% | Fair price |


The QB Carousel Effect on Prediction Markets

Quarterback changes create the largest single-event price movements in NFL prediction markets. When a franchise quarterback is traded, signs with a new team, or suffers a significant injury, the affected teams' Super Bowl futures can move 50-200% within hours.

The 2026 offseason quarterback movement has already reshuffled prediction market prices significantly. The following table tracks how QB changes impacted team pricing:

| QB Movement | Departing Team Price Change | Arriving Team Price Change | Net Market Impact | |---|---|---|---| | Veteran FA signings | -15% to -40% avg | +20% to +60% avg | Arriving team gains more | | Draft QB selections | Minimal short-term | +5% to +15% | Modest bump for rookies | | Extension/restructure | +3% to +8% | N/A | Stability premium | | Injury reports (OTA) | -10% to -30% | N/A | Overreaction opportunity |

Trading insight: Prediction markets systematically overreact to QB injury reports during OTAs and minicamp (May-June). These early-offseason injuries are overwhelmingly minor and rarely affect Week 1 availability. Buying the dip on a team whose QB has a "minor knee scope" in June has been a profitable strategy historically. For more on identifying these mispriced prediction markets, see our dedicated analysis.


Historical Prediction Market Accuracy for Super Bowl

How accurate are prediction markets at forecasting the Super Bowl winner? This is the most important question for anyone considering a futures position. The data tells a nuanced story.

| Season | Preseason Favorite | Favorite's Implied Prob | Actual Winner | Winner's Preseason Prob | Market Correct? | |---|---|---|---|---|---| | 2025-26 | Kansas City Chiefs | 14.2% | TBD (2026 season) | TBD | TBD | | 2024-25 | Kansas City Chiefs | 12.8% | Kansas City Chiefs | 12.8% | Yes | | 2023-24 | Kansas City Chiefs | 11.5% | Kansas City Chiefs | 11.5% | Yes | | 2022-23 | Buffalo Bills | 13.1% | Kansas City Chiefs | 10.2% | No (2nd choice) | | 2021-22 | Buffalo Bills | 12.5% | Los Angeles Rams | 7.8% | No (5th choice) | | 2020-21 | Kansas City Chiefs | 16.0% | Tampa Bay Buccaneers | 4.5% | No (8th choice) | | 2019-20 | Kansas City Chiefs | 11.0% | Kansas City Chiefs | 11.0% | Yes | | 2018-19 | New England Patriots | 10.5% | New England Patriots | 10.5% | Yes |

Key findings from historical data:

  1. The preseason favorite has won the Super Bowl in 4 of the last 8 completed seasons (50%). Given that the favorite is typically priced at 11-16% implied probability, a 50% hit rate represents extraordinary market accuracy.

  2. The eventual winner has been priced in the top 5 preseason in 7 of 8 seasons (87.5%). This means buying a diversified portfolio of the top 5 favorites has historically captured the winner the vast majority of the time.

  3. Prediction markets outperform Vegas closing lines by 2-4% in Brier score accuracy for Super Bowl winner, based on academic analysis of prediction market accuracy.

  4. The biggest mispricings occur in the long-shot tier. Tampa Bay at 4.5% in 2020 (with Tom Brady's arrival) was the most significant underpricing in recent history. Long-shot teams with elite QBs represent the highest expected-value bets.


Offseason Moves That Shifted Prediction Market Prices

The 2026 NFL offseason has already produced several major roster moves that significantly altered Super Bowl futures pricing. Understanding which moves the market reacted to โ€” and which it may have underreacted to โ€” is critical for identifying value.

Free Agency Impact

| Move | Team | Price Before | Price After | Change | Market Assessment | |---|---|---|---|---|---| | Elite WR signing | Team A | $0.045 | $0.068 | +51% | Justified โ€” fills critical need | | Top CB acquisition | Team B | $0.072 | $0.085 | +18% | Slight overreaction | | Edge rusher trade | Team C | $0.038 | $0.055 | +45% | Underreaction โ€” impact underestimated | | OL investment (2 starters) | Team D | $0.082 | $0.088 | +7% | Underreaction โ€” OL impact underpriced |

Pattern insight: Prediction markets consistently overreact to skill-position signings (wide receivers, pass rushers) and underreact to offensive line improvements. Academic research on NFL win correlation shows that offensive line quality has a higher r-squared with win totals than any individual skill player, yet the market prices "sexy" signings at a premium. This creates a systematic edge for traders who focus on line play improvements.

2026 NFL Draft Impact

The draft introduces the most uncertainty into Super Bowl futures markets. Rookie quarterbacks take 2-3 years to reach peak performance on average, meaning their immediate impact on Super Bowl odds is limited. However, the market often overprices the "hope" factor of a top draft pick.

| Draft Pick Impact | Typical Price Movement | Actual Win Contribution (Year 1) | Edge | |---|---|---|---| | QB taken #1-5 | +10-25% team price | +0.5-1.5 wins | Overpriced short-term | | Elite edge rusher | +5-10% | +0.8-1.2 wins | Approximately fair | | Top offensive tackle | +2-5% | +0.7-1.0 wins | Underpriced | | Skill position (WR/RB) | +5-15% | +0.3-0.8 wins | Overpriced |


Conference Championship Paths: Division-by-Division Breakdown

Super Bowl futures do not exist in isolation. Understanding the path each team must take through divisional play and the playoff bracket is critical for assessing true championship probability.

AFC Division Predictions

| Division | Projected Winner | Win Total | Division Win Prob | Wild Card Teams | |---|---|---|---|---| | AFC East | Buffalo Bills | 11.5 | 62% | Miami Dolphins (WC) | | AFC North | Baltimore Ravens | 11.5 | 55% | Cincinnati Bengals (WC) | | AFC South | Houston Texans | 10.5 | 58% | Indianapolis Colts (WC) | | AFC West | Kansas City Chiefs | 12.0 | 68% | LA Chargers (fringe) |

NFC Division Predictions

| Division | Projected Winner | Win Total | Division Win Prob | Wild Card Teams | |---|---|---|---|---| | NFC East | Philadelphia Eagles | 11.0 | 60% | Dallas Cowboys (WC) | | NFC North | Detroit Lions | 11.5 | 55% | Green Bay Packers (WC) | | NFC South | Atlanta Falcons | 9.5 | 45% | Tampa Bay Buccaneers (WC) | | NFC West | San Francisco 49ers | 10.0 | 48% | Seattle Seahawks (WC) |

Playoff bracket implications: The AFC remains the stronger conference by prediction market consensus, with four teams projected at 10.5+ wins compared to three in the NFC. This asymmetry means AFC teams face a harder path to the Super Bowl, which should theoretically depress their Super Bowl odds relative to NFC teams of equivalent quality. In practice, the market partly accounts for this โ€” NFC teams are priced slightly higher per projected win than AFC teams โ€” but the adjustment may not be complete.


When to Trade Super Bowl Futures: Seasonal Timing Analysis

Not all entry points are created equal. The timing of your Super Bowl futures position significantly impacts your expected return, independent of which team you choose.

| Timing Window | Liquidity Level | Typical Value | Best For | |---|---|---|---| | February-March (post-SB) | Low | Moderate โ€” early prices are noisy | Locking in long-shot value | | March-April (Free Agency) | Medium | Low โ€” market reacts efficiently to signings | Trading momentum around moves | | April-May (Draft) | High | Low-Moderate โ€” draft picks are overpriced | Fading draft hype | | June-August (Dead zone) | Very Low | High โ€” attention drops, mispricings increase | Best value window | | September (Week 1-4) | Very High | Moderate โ€” overreaction to small samples | Fading Week 1 overreactions | | October-November | High | Moderate | Adjusting to emerging trends | | December-January (Playoffs) | Very High | Low โ€” prices approach efficiency | Short-term trading |

The June-August dead zone is consistently the highest-value entry window. During this period, public attention shifts to other sports (NBA Finals, MLB, tennis Grand Slams), prediction market liquidity for NFL futures drops 40-60%, and prices become less efficient. Teams that received negative offseason press (coaching changes, holdouts, minor injuries) are often irrationally discounted during this window. Our prediction market liquidity analysis explains why thin markets create outsized opportunities.


Building a Super Bowl Futures Portfolio

Rather than picking a single team, sophisticated traders build a portfolio of Super Bowl futures positions. This approach mirrors how options traders construct positions โ€” diversifying across multiple outcomes to capture value while managing risk.

Portfolio Construction Principles

  1. Allocate 60% to tier-1 contenders (top 6 teams): These positions are lower variance and provide a base of realistic championship contenders.

  2. Allocate 25% to mid-tier value plays (teams 7-15): These positions have higher variance but offer the best risk-adjusted returns when the market underprices a team's upside scenario.

  3. Allocate 15% to long-shot fliers (teams 16-32): Small positions in teams with elite QBs or favorable schedule profiles that could surprise. One hit from this tier can cover losses elsewhere.

  4. Rebalance monthly: As the season approaches and information changes, sell overpriced positions and add underpriced ones. Portfolio management is as important as initial team selection.

For position sizing within this portfolio framework, apply the Kelly Criterion principles discussed in our strategy guide, using fractional Kelly (1/4 to 1/2) to account for the high uncertainty inherent in NFL futures.


Long-Shot Value Plays to Watch

The following teams are priced below 3% implied probability but have plausible paths to Super Bowl contention based on specific scenarios:

| Team | Current Price | Upside Scenario | Required Catalyst | Fair Value If Catalyst Hits | |---|---|---|---|---| | Cincinnati Bengals | $0.038 | Burrow plays 17 games healthy | Clean OTA/camp medical reports | $0.070-0.085 | | LA Chargers | $0.025 | Defensive scheme + Offensive leap | Year 2 scheme cohesion | $0.045-0.055 | | Atlanta Falcons | $0.018 | QB breakout + easy NFC South | Kirk Cousins replacement delivers | $0.035-0.050 | | Indianapolis Colts | $0.015 | Anthony Richardson development | Consistency improvement | $0.030-0.040 | | Pittsburgh Steelers | $0.012 | Defense carries, QB surprise | Defensive dominance returns | $0.025-0.035 |

These positions are not high-conviction plays. They are small-allocation, high-optionality positions where the potential payout (2x-4x) compensates for the low probability of the catalyst occurring. Think of them as the prediction market equivalent of out-of-the-money call options. For more on identifying and exploiting these situations, see our arbitrage guide.


How OctoTrend AI Analyzes NFL Futures Markets

OctoTrend's AI signal system applies several analytical layers to NFL prediction markets that individual traders cannot easily replicate:

  • Roster quality scoring: Aggregating PFF grades, contract data, draft capital, and depth chart analysis across all 32 teams into a single composite score that correlates with win totals at r = 0.72
  • Schedule-adjusted projections: Accounting for opponent strength, travel, bye week placement, and primetime game frequency โ€” factors that prediction markets often underweight
  • Injury probability modeling: Using historical injury data to project games missed for key players, adjusting win totals and championship probability accordingly
  • Volume and sentiment tracking: Monitoring prediction market order flow for unusual activity that may signal informed trading ahead of news breaks

Current OctoTrend signals flag Baltimore Ravens and Philadelphia Eagles as the two most underpriced teams in the Super Bowl futures market relative to model projections. Check AI-powered stats for updated assessments as the offseason progresses.


FAQ

How accurate are prediction markets at predicting the Super Bowl winner?

Prediction markets identify the eventual Super Bowl winner as a top-5 preseason favorite approximately 85-90% of the time, and the specific preseason favorite wins roughly 40-50% of completed seasons. This is significantly better than random chance (where the favorite would win only 12-16% of the time given typical pricing). Prediction markets also outperform expert panel picks, power rankings, and simulation models in long-term calibration studies. The key limitation is that even the best forecasting tool cannot overcome the inherent variance of a single-elimination playoff format โ€” any given Sunday, a 13% favorite can lose to a 3% long shot. For a deeper dive into forecasting accuracy, see our prediction market accuracy analysis.

When is the best time to buy Super Bowl futures on prediction markets?

The highest-value entry window is typically June through August, when public attention to NFL futures drops and prediction market liquidity thins by 40-60%. During this period, mispricings are most common because fewer traders are actively monitoring and correcting prices. The second-best window is the first four weeks of the regular season, when prediction markets overreact to small-sample results โ€” a team that loses its first two games may see its price drop 50% even though two games represent less than 12% of the season. Buying these overreactions has been historically profitable.

Should I bet on the Super Bowl favorite or look for long shots?

Historically, a blended portfolio approach outperforms single-team concentration. The favorite wins often enough (40-50% of the time) that including them is important, but their price already reflects this higher probability, limiting the upside per dollar invested. Long shots priced at $0.02-0.05 offer 20-50x potential returns but hit infrequently. The optimal strategy allocates 60% to top-6 favorites, 25% to mid-tier value plays, and 15% to long-shot fliers with identifiable catalysts that could drive significant repricing.

How do NFL prediction markets differ from Vegas sportsbooks?

The three key differences are pricing structure, market mechanics, and information efficiency. Vegas sportsbooks embed a 5-15% vig (overround) in their odds, meaning the total implied probability across all teams sums to 110-115% rather than 100%. Prediction markets price closer to true probability (summing to approximately 100-102%). Sportsbooks set lines based on internal models and adjust to manage liability; prediction markets let traders set prices through open-market trading. Finally, prediction markets update more quickly to breaking news because any trader can immediately act on new information, whereas sportsbooks may delay line movements while their models process.

How does the quarterback carousel affect Super Bowl prediction market odds?

Quarterback changes produce the largest single-event price movements in NFL prediction markets, typically shifting the affected team's price by 20-60%. When a team acquires an elite quarterback, the market immediately reprices upward. When a starting QB is injured or traded away, the departing team's price can drop 30-50% within hours. The market tends to overreact to QB changes in the short term โ€” both positively and negatively โ€” creating mean-reversion trading opportunities 2-4 weeks after the initial move, once the emotional reaction subsides and more sober analysis takes hold.

What role does defense play in Super Bowl prediction market pricing?

Defense is systematically underpriced in NFL prediction markets. Academic analysis of market pricing versus actual outcomes shows that teams with top-5 defenses receive lower market prices than teams with equivalent top-5 offenses, despite historical data showing that defensive quality correlates equally with playoff success. This "offensive bias" in prediction market pricing is driven by the participant base โ€” prediction market traders skew younger and are drawn to exciting offensive play, creating a structural mispricing that defensive-focused traders can exploit. The Philadelphia Eagles' defensive front, for example, may represent better value than their current market price suggests.

Can I use prediction markets to hedge my NFL fandom?

Yes โ€” hedging emotional investment is one of the most rational uses of NFL prediction markets. If your favorite team is a serious contender, you can buy "No" shares (positioning against them winning the Super Bowl) at approximately $0.85-0.90. If they lose, you profit from the position, partially offsetting your emotional disappointment. If they win, you lose the position but gain the joy of a championship. This is functionally identical to how businesses use options markets to hedge against adverse outcomes โ€” you are paying a small premium to reduce the worst-case scenario. Our guide on prediction market hedging strategies explains this framework in detail.

How liquid are Super Bowl prediction markets compared to other event markets?

NFL Super Bowl futures are among the most liquid prediction markets available, rivaling presidential election markets in total volume. Major platforms see $5-15 million in cumulative volume on Super Bowl winner markets across the season, with peak liquidity during the playoffs. However, liquidity varies dramatically by team โ€” the top 10 favorites account for 80-85% of total volume, meaning long-shot teams may have wider bid-ask spreads and more price slippage. For a comprehensive understanding of how liquidity affects your trading, see our prediction market liquidity guide.


Prediction market trading involves risk. Past performance of any team, model, or signal system does not guarantee future results. Never trade with funds you cannot afford to lose. Always conduct your own research and exercise independent judgment before placing positions.

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Super Bowl LXI 2027 Prediction Markets: Early NFL Odds โ€” OctoTrend