Welcome back to CLEATZ, where prediction markets, player props, and public betting data collide to uncover the smartest bets and the sharpest statistical edges.

Today, we take our first look at the public action for Super Bowl 60 between the Patriots and Seahawks.

👉 Super Bowl LX: Patriots vs. Seahawks

Super Bowl 60 betting has shown clear, steady movement toward Seattle, both in price and public commitment. The Seahawks opened around -3.5 and were immediately met with heavy action, capturing 95% of the handle and 86% of bets, which pushed the spread to -4.5 within a day.

Even after the move, support for Seattle has remained strong, with roughly 80%+ of handle and mid-to-high 70% of tickets still backing the Seahawks at the higher number—indicating bettors were comfortable laying the extra point rather than backing New England.

The total has been more volatile, initially drawing heavy Over money (~75% of handle), dipping briefly to 45.5, before returning to 46.5 as Over interest stabilized around 60% handle / ~59% bets.

On the moneyline, the shift tells a classic Super Bowl story: larger bets continue to side with Seattle (handle favoring the Seahawks despite worse odds), while ticket count has slowly tilted toward New England, suggesting smaller, contrarian wagers on the Patriots at plus money.

Overall, the market narrative is consistent. Seattle is the preferred side, expectations lean toward scoring, and New England interest shows up mainly as a value underdog rather than a true sentiment shift.

Patriots vs. Seahawks Point Spread

Team

Spread

Handle

Bets

Seahawks

-4.5

81%

76%

Patriots

+4.5

19%

24%

Total (46.5)

Side

Total

Handle

Bets

Over

45.5

61%

59%

Under

45.5

39%

41%

Moneyline

Team

Moneyline

Handle

Bets

Seahawks

-230

57%

42%

Patriots

+190

43%

58%

📊 Prediction Markets Data

Kalshi and Polymarket are both pricing Seattle at roughly a 67% chance to win.

That means true value on both platforms won’t come from the outright winner market, but rather from point spreads, totals, and player props, where liquidity and pricing inefficiencies are far more common.

A perfect example is shown below with the Drake Maye over/under 29.5 rushing yards market on Polymarket, where distorted pricing highlights how prediction markets often reflect order-book pressure rather than true probability.

POLYMARKET

Drake Maye Super Bowl Rushing Yards Prop on Polymarket

Why the Over is 97¢ and the Under is 80¢

① These prices are not probabilities

On Polymarket, prices reflect where liquidity is posted, not a clean sportsbook-style implied probability.

  • Over 29.5 @ 97¢ = the cheapest available seller is demanding 97¢

  • Under 29.5 @ 80¢ = the cheapest available seller is demanding 80¢

They are independent order books, not two sides of a balanced market.

② The order book is extremely thin and lopsided

Look at the screenshot:

  • There is ~$892,000 sitting at 99¢ on the Over

  • Very little size between 97–98¢

  • On the Under side, bids cluster around 9–20¢, but no real size near fair value

That means:

  • Anyone trying to buy Over must pay a huge premium

  • Anyone trying to buy Under is dealing with scarce sellers

➡️ Prices drift apart because no arbitrage force is stepping in to close the gap.

③ This is a liquidity vacuum, not a belief equilibrium

In a sportsbook:

  • Over + Under ≈ 100% (minus vig)

In Polymarket:

  • Over price + Under price can exceed 100%

  • Because no market maker is required to balance both sides

Here:

  • 97¢ + 80¢ = 177¢

  • That tells you the market is broken by imbalance, not confident both sides win.

④ Why hasn’t arbitrage fixed this?

Because arbitrage requires:

  • Capital

  • Willingness to hold risk

  • Confidence the market will resolve cleanly

Most traders won’t tie up money to scalp a few cents when:

  • Settlement timing is uncertain

  • Player props can be volatile

  • Liquidity is one-sided

So the gap just sits there.

⑤ What the market is actually saying

Not “Over has a 97% chance”
Not “Under has an 80% chance”

It’s saying:

  • Over buyers are extremely aggressive

  • Under sellers are scarce

  • The market is pricing urgency, not truth

This is sentiment pressure, not probability.

How to read this correctly

  • Treat Polymarket prices as who’s desperate, not who’s right

  • When both sides are expensive, it usually signals:

    • Bad pricing

    • Or a market that hasn’t matured yet

  • Sportsbooks will almost always give you a cleaner signal on true probability

🏀 NBA Props Cheat Sheet Tonight

Jrue Holiday — Over 11.5 Points (-132)

Why it stands out:

  • 80% L5 / 80% L10

  • Multiple correlated props also trending (PTS+REB, AST)

  • Stable role regardless of game script
    ➡️ Cleanest Holiday angle without overreaching

CJ McCollum — Over 2.5 Rebounds (-148)

Why it stands out:

  • 80% L5

  • 100% DVP L5
    ➡️ Quiet, non-obvious prop with strong matchup support

T.J. McConnell — Over 0.5 Steals (-245)

Why it stands out:

  • 80% L5

  • 100% DVP L5
    ➡️ Classic McConnell chaos prop — high activity, low bar

Deandre Ayton — Over 0.5 Blocks (-174)

Why it stands out:

  • 80% L5

  • Strong DVP alignment (80% / 80%)
    ➡️ Rim protection matchup favors at least one swat

Deni Avdija — Over 1.5 Threes (-188)

Why it stands out:

  • 80% L5

  • 100% DVP L5
    ➡️ Volume + matchup = clean shooting look

Ryan Kalkbrenner — Over 5.5 Rebounds (+122)

Why it stands out:

  • 100% DVP L5 / 90% DVP L10

  • Plus money on a board-heavy role
    ➡️ Best value play available

Jaylon Tyson — Over 19.5 Points + Rebounds (-110)

Why it stands out:

  • 100% L5

  • Combo smooths scoring variance
    ➡️ Safest way to capture rising usage

LeBron James — Over 0.5 Steals (-245)

Why it stands out:

DVP flatter than others
➡️ Playable, but not a core anchor

High implied probability

Safest Parlay Anchors

  1. Jrue Holiday — Over 11.5 Points

  2. T.J. McConnell — Over 0.5 Steals

  3. Deandre Ayton — Over 0.5 Blocks

🚨NBA Props Cheat Sheet

Our NBA data has been exceptionally strong this season. Built specifically for parlay construction, our hit-rate tracking and DvP (defense vs. position) filters surface the best nightly opportunities in one place. As shown, many of the heavier moneyline prices align closely with high implied probabilities, reinforcing the edge behind these selections.

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