{"id":713,"date":"2026-09-24T20:50:37","date_gmt":"2026-09-24T20:50:37","guid":{"rendered":"https:\/\/t1x2bettingpro.advision-dev.com\/?p=713"},"modified":"2026-09-24T20:56:14","modified_gmt":"2026-09-24T20:56:14","slug":"prediction-markets-price-how-nfl-teams-win","status":"publish","type":"post","link":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/2026\/09\/24\/prediction-markets-price-how-nfl-teams-win\/","title":{"rendered":"Prediction Markets Are Starting to Price How an NFL Team Wins"},"content":{"rendered":"\n

Sports markets have traditionally asked straightforward questions.<\/p>\n\n\n\n

Who wins?<\/p>\n\n\n\n

How many points will be scored?<\/p>\n\n\n\n

Will a team cover the spread?<\/p>\n\n\n\n

A new generation of prediction-market contracts is beginning to ask something more complicated: what path will a team take to victory?<\/strong><\/p>\n\n\n\n

On September 21, 2026, ARST certified two binary event contracts with the Commodity Futures Trading Commission tied to the Green Bay Packers’ September 24 game against the Atlanta Falcons.<\/p>\n\n\n\n

One asks whether Green Bay will defeat Atlanta without its win probability falling below 20%<\/strong>.<\/p>\n\n\n\n

The other asks whether the Packers will win without their point differential ever being above 6.5 points<\/strong>.<\/p>\n\n\n\n

Those conditions fundamentally change what determines whether the contract settles Yes or No.<\/p>\n\n\n\n

Winning the football game is necessary.<\/p>\n\n\n\n

Winning alone is no longer sufficient.<\/p>\n\n\n\n

The entire sequence of events during the game can determine settlement.<\/p>\n\n\n\n

That makes these contracts an important development in the continuing convergence of prediction markets, live sports data and conventional sports wagering.<\/p>\n\n\n\n

Green Bay-Atlanta Introduces Two Unusual NFL Contracts<\/h2>\n\n\n\n

The CFTC’s designated contract market product filings<\/a> show ARST certifying the Green Bay-Atlanta contracts on September 21.<\/p>\n\n\n\n

Both are listed as binary event contracts.<\/p>\n\n\n\n

The first asks whether the Packers will defeat the Falcons without Green Bay’s win probability falling below 20%<\/strong>.<\/p>\n\n\n\n

The second asks whether Green Bay will win without its point differential being above 6.5<\/strong>.<\/p>\n\n\n\n

The NFL lists Atlanta at Green Bay for Thursday, September 24 at 8:15 p.m. ET<\/strong>.<\/p>\n\n\n\n

Green Bay enters the matchup at 1-1 after losing 39-22 to Minnesota<\/strong> in Week 1 and defeating the New York Jets 20-17<\/strong> in Week 2.<\/p>\n\n\n\n

Atlanta enters after a difficult start that included a 34-3 loss to Carolina<\/strong> on September 20.<\/p>\n\n\n\n

Those football results provide the setting, but the larger story is the structure of the contracts themselves.<\/p>\n\n\n\n

Winning Is Only the First Requirement<\/h2>\n\n\n\n

Consider the win-probability contract.<\/p>\n\n\n\n

A conventional game-winner market effectively asks one question:<\/p>\n\n\n\n

Did Green Bay win?<\/p>\n\n\n\n

The new structure requires at least two conditions.<\/p>\n\n\n\n

Green Bay must win the game, and its designated win probability must never fall below the specified threshold.<\/p>\n\n\n\n

Imagine Green Bay falling behind significantly in the second quarter.<\/p>\n\n\n\n

Its live win probability drops to 18%.<\/p>\n\n\n\n

The Packers then recover and eventually win.<\/p>\n\n\n\n

Under an ordinary winner contract, Green Bay’s victory determines the outcome.<\/p>\n\n\n\n

Under the path-dependent contract, the earlier probability decline could determine settlement even though Green Bay ultimately wins.<\/p>\n\n\n\n

That transforms the market from a prediction about a final result into a prediction about the trajectory of the game<\/strong>.<\/p>\n\n\n\n

The Point-Differential Contract Works in the Opposite Direction<\/h2>\n\n\n\n

The second contract is equally unusual.<\/p>\n\n\n\n

It asks whether Green Bay wins without its point differential ever being above 6.5.<\/p>\n\n\n\n

That means the Packers cannot simply win.<\/p>\n\n\n\n

Their path to victory must also remain within the contract’s specified scoring condition.<\/p>\n\n\n\n

For example, imagine Green Bay leads by 10 points during the third quarter but Atlanta rallies and the Packers ultimately win by three.<\/p>\n\n\n\n

A normal moneyline-style contract would care only that Green Bay finished ahead.<\/p>\n\n\n\n

A final-margin market would care about the closing score.<\/p>\n\n\n\n

This contract potentially cares about what happened earlier.<\/p>\n\n\n\n

The temporary 10-point advantage could matter even though it disappears before the final whistle.<\/p>\n\n\n\n

That is an important conceptual shift.<\/p>\n\n\n\n

Prediction Markets Are Moving From Outcomes to Paths<\/h2>\n\n\n\n

Sports markets have always been able to create increasingly specific propositions.<\/p>\n\n\n\n

But these contracts introduce a different dimension.<\/p>\n\n\n\n

Instead of asking only what occurs, they can ask how it occurs<\/strong>.<\/p>\n\n\n\n

That creates what can be understood as a path-dependent sports contract.<\/p>\n\n\n\n

The settlement outcome depends on the sequence followed by the underlying event.<\/p>\n\n\n\n

A football game can therefore generate two identical final scores but different contract outcomes.<\/p>\n\n\n\n

Suppose Green Bay wins 24-21 in two hypothetical games.<\/p>\n\n\n\n

In Game A, Green Bay leads narrowly throughout.<\/p>\n\n\n\n

In Game B, Green Bay falls behind 17-0, its live win probability collapses below 20%, and it produces a dramatic fourth-quarter comeback.<\/p>\n\n\n\n

The final score could be identical.<\/p>\n\n\n\n

The path-dependent contract could settle differently.<\/p>\n\n\n\n

<\/p>\n\n\n

\n
\"Two<\/figure>\n<\/div>\n\n\n

<\/p>\n\n\n\n

That Requires Much More Data Than a Moneyline<\/h2>\n\n\n\n

A conventional winner market needs a reliable final result.<\/p>\n\n\n\n

These new products require considerably more information.<\/p>\n\n\n\n

A win-probability threshold contract potentially needs a continuous or sufficiently granular probability feed throughout the game.<\/p>\n\n\n\n

A point-differential path contract requires an accurate record of every scoring state.<\/p>\n\n\n\n

That increases the importance of data infrastructure.<\/p>\n\n\n\n

It also raises a basic settlement question:<\/p>\n\n\n\n

What is the authoritative source?<\/strong><\/p>\n\n\n\n

A final NFL score is objective.<\/p>\n\n\n\n

A live win probability is a calculated metric.<\/p>\n\n\n\n

Different statistical models can produce different probabilities at the same moment.<\/p>\n\n\n\n

One model might estimate Green Bay at 21%.<\/p>\n\n\n\n

Another might calculate 19%.<\/p>\n\n\n\n

That difference is irrelevant to the football result but potentially decisive for a contract with a 20% threshold.<\/p>\n\n\n\n

Win Probability Is a Model, Not a Score<\/h2>\n\n\n\n

This distinction deserves particular attention.<\/p>\n\n\n\n

A team’s score is directly observable.<\/p>\n\n\n\n

Win probability is estimated.<\/p>\n\n\n\n

A model can incorporate variables such as score differential, possession, field position, time remaining, timeouts and historical game situations.<\/p>\n\n\n\n

Different models can weight those variables differently.<\/p>\n\n\n\n

Suppose Green Bay trails by seven points with six minutes remaining.<\/p>\n\n\n\n

One model could estimate a 24% chance of winning.<\/p>\n\n\n\n

Another might calculate 19%.<\/p>\n\n\n\n

Neither number is the official score.<\/p>\n\n\n\n

They are statistical estimates derived from the game state.<\/p>\n\n\n\n

For a contract tied to whether probability ever falls below 20%, the methodology behind the probability calculation becomes part of the product itself.<\/p>\n\n\n\n

That makes settlement specifications unusually important.<\/p>\n\n\n\n

<\/p>\n\n\n

\n
\"Win<\/figure>\n<\/div>\n\n\n

<\/p>\n\n\n\n

The Data Feed Becomes Part of the Contract<\/h2>\n\n\n\n

For this type of market, data is no longer merely something traders use to make decisions.<\/p>\n\n\n\n

It can become part of what determines settlement.<\/p>\n\n\n\n

That is a major distinction.<\/p>\n\n\n\n

In conventional sports markets, official league results usually establish whether a wager wins or loses.<\/p>\n\n\n\n

For path-dependent prediction contracts, a specified third-party calculation or data methodology may also become essential.<\/p>\n\n\n\n

Participants therefore need to understand not only the sporting condition but the contract’s formal rules and designated settlement source.<\/p>\n\n\n\n

A visually simple question such as \u201cDid the team’s probability stay above 20%?\u201d can hide substantial technical complexity underneath.<\/p>\n\n\n\n

That complexity becomes particularly important around the threshold.<\/p>\n\n\n\n

A probability moving from 20.1% to 19.9% may look insignificant statistically.<\/p>\n\n\n\n

For a binary contract, it can be decisive.<\/p>\n\n\n\n

This Is Different From Ordinary Live Betting<\/h2>\n\n\n\n

Live sportsbooks already change prices continuously during games.<\/p>\n\n\n\n

If Atlanta scores a touchdown, Green Bay’s live moneyline can move.<\/p>\n\n\n\n

If Green Bay responds, the market can move back.<\/p>\n\n\n\n

But those price changes usually describe the market at that moment<\/strong>.<\/p>\n\n\n\n

They do not normally become permanent historical conditions attached to a later winner market.<\/p>\n\n\n\n

Path-dependent contracts change that.<\/p>\n\n\n\n

A moment occurring early in the game can permanently determine whether a contract remains capable of settling Yes.<\/p>\n\n\n\n

That creates a kind of market memory.<\/p>\n\n\n\n

Once the specified threshold has been crossed, what happens later may not reverse its effect.<\/p>\n\n\n\n

The Contract Remembers What Happened Earlier<\/h2>\n\n\n\n

This is perhaps the clearest way to understand the difference.<\/p>\n\n\n\n

Traditional winner markets largely forget the path.<\/p>\n\n\n\n

A team can play terribly for three quarters and still win.<\/p>\n\n\n\n

The final result is what matters.<\/p>\n\n\n\n

A path-dependent contract remembers.<\/p>\n\n\n\n

It can remember that the team once fell below a probability threshold.<\/p>\n\n\n\n

It can remember that the scoring margin once exceeded a specified level.<\/p>\n\n\n\n

That means two contracts centered on the same team can behave very differently during the same game.<\/p>\n\n\n\n

A standard Packers winner contract could recover dramatically during a comeback.<\/p>\n\n\n\n

A contract requiring Green Bay never to fall below 20% could already be determined by an earlier game state.<\/p>\n\n\n\n

Similar Products Are Appearing Outside the NFL<\/h2>\n\n\n\n

The Packers-Falcons filings are not isolated.<\/p>\n\n\n\n

ARST also certified comparable contracts tied to the Los Angeles Dodgers-San Diego Padres<\/strong> MLB game scheduled for September 23.<\/p>\n\n\n\n

One asks whether Los Angeles wins without its win probability falling below 20%.<\/p>\n\n\n\n

Another asks whether the Dodgers win without their point differential being above 2.5 runs<\/strong>.<\/p>\n\n\n\n

The CFTC database also lists comparable NBA contracts involving the New York Knicks and Philadelphia 76ers<\/strong> for their October 20 matchup.<\/p>\n\n\n\n

One asks whether New York wins without its point differential exceeding 9.5 points<\/strong>.<\/p>\n\n\n\n

Another applies a 20% win-probability floor.<\/p>\n\n\n\n

The same underlying concept is therefore being adapted across football, baseball and basketball.<\/p>\n\n\n\n

Different Sports Create Different Path Dynamics<\/h2>\n\n\n\n

The concept may be portable, but each sport behaves differently.<\/p>\n\n\n\n

NFL games have relatively few scoring events.<\/p>\n\n\n\n

One touchdown can dramatically change the game state.<\/p>\n\n\n\n

Basketball contains constant scoring and much more frequent changes in point differential.<\/p>\n\n\n\n

Baseball can remain scoreless for several innings before a single sequence changes the game.<\/p>\n\n\n\n

That means the same path-dependent contract design can behave very differently depending on the sport.<\/p>\n\n\n\n

A 20% probability threshold in football may be crossed only after a significant event.<\/p>\n\n\n\n

Basketball probabilities can fluctuate repeatedly during runs.<\/p>\n\n\n\n

Baseball probabilities can shift sharply after a home run, pitching change or bases-loaded situation.<\/p>\n\n\n\n

Contract designers therefore need to account for the statistical characteristics of the underlying sport.<\/p>\n\n\n\n

These Markets Create a New Kind of Pricing Problem<\/h2>\n\n\n\n

Pricing a simple game-winner contract primarily requires estimating the probability that one team defeats another.<\/p>\n\n\n\n

A path-dependent contract requires more.<\/p>\n\n\n\n

The market needs to estimate both the probability of victory and the probability of satisfying the additional condition along the way<\/strong>.<\/p>\n\n\n\n

Those probabilities are related but not identical.<\/p>\n\n\n\n

A strong favorite may have a high probability of winning.<\/p>\n\n\n\n

But that does not automatically mean it has an equally high probability of winning while never experiencing a specified adverse game state.<\/p>\n\n\n\n

Similarly, a team expected to win comfortably may have a very different probability of winning while never leading by more than 6.5 points.<\/p>\n\n\n\n

The additional condition changes the event being priced.<\/p>\n\n\n\n

Traditional Odds Provide Useful Context<\/h2>\n\n\n\n

Understanding this distinction starts with ordinary implied probability.<\/p>\n\n\n\n

Sportsbook prices translate expectations about outcomes into odds while incorporating operator margin.<\/p>\n\n\n\n

Our guide to how sportsbooks price favorites and underdogs<\/a> explains the basic relationship between market expectations, probability and price.<\/p>\n\n\n\n

Path-dependent contracts add another variable.<\/p>\n\n\n\n

Instead of estimating:<\/p>\n\n\n\n

Probability that Green Bay wins<\/strong><\/p>\n\n\n\n

the market might need to estimate:<\/p>\n\n\n\n

Probability that Green Bay wins AND never crosses condition X.<\/strong><\/p>\n\n\n\n

That intersection can produce a meaningfully different price.<\/p>\n\n\n\n

The 20% Threshold Raises an Important Settlement Question<\/h2>\n\n\n\n

Of the two Green Bay contracts, the probability-based product is technically more interesting.<\/p>\n\n\n\n

A scoring margin can be reconstructed directly from the official play-by-play.<\/p>\n\n\n\n

Win probability requires a model.<\/p>\n\n\n\n

That makes transparency critical.<\/p>\n\n\n\n

Participants need to know which probability source governs settlement, how frequently the calculation updates, what happens if data are corrected and how edge cases are resolved.<\/p>\n\n\n\n

Consider a play that is initially recorded as a touchdown but overturned after review.<\/p>\n\n\n\n

A live probability model could change sharply when the touchdown is recorded and then reverse after the ruling.<\/p>\n\n\n\n

Would the temporary probability reading count?<\/p>\n\n\n\n

The answer depends on the contract rules and settlement methodology.<\/p>\n\n\n\n

Those details become increasingly important as contracts depend on rapidly changing live data.<\/p>\n\n\n\n

Latency Becomes More Important Too<\/h2>\n\n\n\n

Path-dependent markets also increase the importance of timing.<\/p>\n\n\n\n

Sports data move through several stages.<\/p>\n\n\n\n

An event happens on the field.<\/p>\n\n\n\n

The event is recorded.<\/p>\n\n\n\n

A data provider distributes it.<\/p>\n\n\n\n

Models process the new information.<\/p>\n\n\n\n

Trading platforms update.<\/p>\n\n\n\n

Participants react.<\/p>\n\n\n\n

Even small differences in that sequence can matter for live markets.<\/p>\n\n\n\n

The problem is not unique to prediction markets.<\/p>\n\n\n\n

Sportsbooks have dealt with live-data latency for years.<\/p>\n\n\n\n

But contracts tied directly to an evolving probability metric make data timing even more central because the metric itself may determine settlement.<\/p>\n\n\n\n

<\/p>\n\n\n

\n
\"Live<\/figure>\n<\/div>\n\n\n

<\/p>\n\n\n\n

Liquidity Could Determine Whether These Products Work<\/h2>\n\n\n\n

A sophisticated contract is not automatically a useful market.<\/p>\n\n\n\n

It still needs buyers and sellers.<\/p>\n\n\n\n

Traditional NFL markets concentrate enormous attention around a relatively small number of familiar products such as moneylines, spreads and totals.<\/p>\n\n\n\n

Every additional contract divides potential trading activity.<\/p>\n\n\n\n

That can create liquidity fragmentation.<\/p>\n\n\n\n

Imagine one game supporting separate contracts for:<\/p>\n\n\n\n

winner, point differential, total points, player outcomes, scoring events, win-probability thresholds and path-dependent margins.<\/p>\n\n\n\n

If participation is distributed across too many products, some contracts may develop wide spreads or shallow order books.<\/p>\n\n\n\n

The innovation therefore creates a trade-off.<\/p>\n\n\n\n

More precise markets can provide more expressive ways to price an event.<\/p>\n\n\n\n

Too many markets can make individual contracts less efficient.<\/p>\n\n\n\n

Complex Contracts Can Be Harder to Understand<\/h2>\n\n\n\n

Consumer comprehension is another issue.<\/p>\n\n\n\n

\u201cWill Green Bay win?\u201d is immediately understandable.<\/p>\n\n\n\n

\u201cWill Green Bay win without its win probability falling below 20%?\u201d requires several additional concepts.<\/p>\n\n\n\n

Which win probability?<\/p>\n\n\n\n

Measured when?<\/p>\n\n\n\n

Updated how often?<\/p>\n\n\n\n

What happens after a correction?<\/p>\n\n\n\n

Does touching exactly 20% qualify?<\/p>\n\n\n\n

What source settles the market?<\/p>\n\n\n\n

Those questions are not minor technicalities.<\/p>\n\n\n\n

They define the product.<\/p>\n\n\n\n

As prediction markets become more complex, clear contract specifications become increasingly important.<\/p>\n\n\n\n

A user should be able to understand exactly what must happen before entering a position.<\/p>\n\n\n\n

Certification Does Not Mean the CFTC Endorses an Outcome<\/h2>\n\n\n\n

The regulatory terminology also deserves clarification.<\/p>\n\n\n\n

The CFTC database lists these ARST products as certified<\/strong> binary event contracts.<\/p>\n\n\n\n

That should not be interpreted as a government prediction that the contract is accurately priced or that a particular side represents good value.<\/p>\n\n\n\n

Nor is certification equivalent to the CFTC recommending participation.<\/p>\n\n\n\n

It refers to the regulatory filing status of the product.<\/p>\n\n\n\n

The distinction matters because prediction-market products can carry the visual appearance of financial instruments while still involving uncertain sporting outcomes.<\/p>\n\n\n\n

The Concept Already Predates the Atlanta Game<\/h2>\n\n\n\n

The September 21 filings are a fresh implementation, but ARST had already certified the generic NFL structure earlier.<\/p>\n\n\n\n

CFTC records show an NFL contract template certified on August 14, 2026<\/strong> asking whether a team would win a game without its point differential being above a specified number.<\/p>\n\n\n\n

The database also contains a Green Bay-specific version tied to the Packers’ September 13 game against the Minnesota Vikings.<\/p>\n\n\n\n

That indicates this is not simply a one-game experiment.<\/p>\n\n\n\n

It appears to be part of a broader effort to develop reusable path-dependent sports contracts.<\/p>\n\n\n\n

Sports Prediction Markets Are Becoming More Granular<\/h2>\n\n\n\n

The development fits a much larger trend.<\/p>\n\n\n\n

Prediction exchanges have expanded from basic championship and game-winner contracts into increasingly detailed sports outcomes.<\/p>\n\n\n\n

Markets now cover player statistics, individual periods of games, tournament qualification, awards and other specific events.<\/p>\n\n\n\n

Path-dependent contracts push that evolution further.<\/p>\n\n\n\n

They allow markets to encode not only an outcome but a condition attached to the journey toward that outcome.<\/p>\n\n\n\n

Mathematically, that produces a much larger universe of possible contracts.<\/p>\n\n\n\n

Commercially, however, the challenge will be deciding which of those markets attract enough participation to justify their complexity.<\/p>\n\n\n\n

This Could Eventually Extend Far Beyond Football<\/h2>\n\n\n\n

The same structure can theoretically apply to soccer.<\/p>\n\n\n\n

A market could depend on a club winning without ever falling behind.<\/p>\n\n\n\n

Another could depend on winning while never exceeding a specified goal differential.<\/p>\n\n\n\n

Basketball offers even more possible paths because leads change frequently.<\/p>\n\n\n\n

Baseball can create conditions around run differentials and changing win probabilities.<\/p>\n\n\n\n

Tennis could produce similar structures around match probabilities or set trajectories.<\/p>\n\n\n\n

That does not mean every possible contract will become commercially viable.<\/p>\n\n\n\n

But the CFTC filings demonstrate that exchanges are already experimenting with the underlying architecture across multiple American sports.<\/p>\n\n\n\n

The Final Score Is No Longer Enough<\/h2>\n\n\n\n

For decades, the fundamental unit of sports wagering has been the result.<\/p>\n\n\n\n

Prediction markets are beginning to break that unit into something more complicated.<\/p>\n\n\n\n

The Green Bay-Atlanta contracts certified on September 21 illustrate the shift clearly.<\/p>\n\n\n\n

A Packers victory may not be enough.<\/p>\n\n\n\n

The market can ask whether Green Bay won without ever becoming too unlikely to win<\/strong>.<\/p>\n\n\n\n

It can separately ask whether Green Bay won without ever building too large a lead<\/strong>.<\/p>\n\n\n\n

Those conditions turn the timeline of the game into part of the financial product.<\/p>\n\n\n\n

That creates interesting possibilities for market design, but it also increases the importance of transparent settlement rules, authoritative data, model methodology, liquidity and consumer understanding.<\/p>\n\n\n\n

The next phase of sports prediction markets may therefore be less about creating another way to ask who wins<\/strong>.<\/p>\n\n\n\n

It may be about creating increasingly precise ways to trade how the winner gets there<\/strong>.<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Sports markets have traditionally asked straightforward questions. Who wins? How many points will be scored? Will a team cover the spread? A new generation of prediction-market contracts is beginning to ask something more complicated: what path will a team take to victory? On September 21, 2026, ARST certified two binary event contracts with the Commodity […]<\/p>\n","protected":false},"author":4,"featured_media":714,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"footnotes":""},"categories":[8],"tags":[],"class_list":["post-713","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-betting-markets-analysis"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/posts\/713","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/comments?post=713"}],"version-history":[{"count":4,"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/posts\/713\/revisions"}],"predecessor-version":[{"id":722,"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/posts\/713\/revisions\/722"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/media\/714"}],"wp:attachment":[{"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/media?parent=713"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/categories?post=713"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/1x2bettingpro.advision-dev.com\/index.php\/wp-json\/wp\/v2\/tags?post=713"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}