DraftKings eyes crypto offerings as it expands into prediction markets

cointelegraphPublished on 2025-12-19Last updated on 2025-12-19

Abstract

DraftKings is expanding beyond sports betting into prediction markets with its new DraftKings Predictions app, which allows users to trade contracts on sports and financial outcomes. Initially available in 38 states, the company plans to eventually include crypto-linked contracts, as well as entertainment and cultural events. The trading operates through Railbird Exchange, a CFTC-regulated derivatives venue, providing a established regulatory framework. This move aligns with a broader trend of prediction markets gaining mainstream traction in the U.S., driven by platforms like Polymarket and Kalshi. Other crypto-native firms, including Coinbase and Gemini, are also entering the prediction market space.

DraftKings is expanding beyond sports betting into the realm of prediction markets, laying the groundwork for future crypto-linked contracts as regulated event trading gains momentum in the United States.

As Bloomberg reported, the company announced on Friday that it has launched the DraftKings Predictions app, which allows users to trade contracts on sports and financial outcomes. At launch, the app is available in 38 states, with sports-related trading permitted in 17 of them.

DraftKings ultimately plans to expand its prediction market offerings beyond sports and finance to include contracts linked to crypto, entertainment and cultural events, according to Bloomberg.

DraftKings’ push into prediction markets is underpinned by regulated derivatives infrastructure connected to CME Group–style market standards.

The company said trading will be conducted through Railbird Exchange, a derivatives venue it acquired and which is registered with the US Commodity Futures Trading Commission, allowing DraftKings to offer event-based contracts within an established regulatory framework.

DraftKings’ growing national footprint. Source: Bloomberg

As a publicly traded US-based sports betting and entertainment company, DraftKings brings increased visibility and mainstream exposure to prediction markets and potentially crypto-linked contracts as regulated event trading gains traction in the United States.

In early November, DraftKings reported third-quarter revenue of $1.14 billion, up 4% year over year, alongside an adjusted loss of $127 million. The company said it expects to generate up to $6.1 billion in revenue this year, roughly triple the amount it generated in 2022.

Related: Polymarket shows stronger retention than most DeFi, wallets and exchanges

From Polymarket to Wall Street: Prediction markets go mainstream

While DraftKings’ prediction market offering is not built on blockchain or decentralized technology, the broader sector has gained momentum in recent years largely due to crypto-native platforms that redefined how prediction markets operate.

The most prominent example is Polymarket, which brought prediction markets onchain by using crypto rails to enable global participation and near-instant settlement.

The platform helped popularize prediction markets among crypto-native users, particularly during major political events and most notably the 2024 US presidential election. Its rise has coincided with growing interest in other event-based trading venues, including Kalshi, a US-regulated prediction market operating under the Commodity Futures Trading Commission (CFTC).

Beyond consumer-facing platforms, crypto-focused financial infrastructure providers are also expanding into the space. Bitnomial Clearinghouse, a derivatives clearing organization regulated by the CFTC, has signaled plans to support prediction markets tied to cryptocurrency and macroeconomic outcomes.

Crypto-native exchanges are also broadening their product suites to include prediction-style offerings. Coinbase recently announced plans to integrate stock trading and prediction markets into its long-term vision of becoming an “everything app.”

Source: Gemini

Meanwhile, the Winklevoss-led Gemini cryptocurrency exchange has launched prediction markets in the US, having secured the necessary regulatory approvals.

Related: Phantom taps Kalshi to offer regulated prediction markets in wallet

Related Questions

QWhat new market is DraftKings expanding into, and what future offerings are they planning?

ADraftKings is expanding into prediction markets and is planning future crypto-linked contracts, as well as offerings related to entertainment and cultural events.

QThrough which regulated entity will DraftKings conduct its prediction market trading?

ADraftKings will conduct its trading through Railbird Exchange, a derivatives venue it acquired that is registered with the US Commodity Futures Trading Commission (CFTC).

QWhat is a key crypto-native platform that helped popularize onchain prediction markets?

APolymarket is the key crypto-native platform that helped popularize onchain prediction markets by using crypto rails for global participation and near-instant settlement.

QBesides DraftKings, name two other US-based companies or platforms mentioned that are involved in prediction markets.

ATwo other US-based companies involved in prediction markets are Kalshi, a CFTC-regulated prediction market, and the Gemini cryptocurrency exchange, which has launched its own prediction markets.

QWhat was DraftKings' reported third-quarter revenue and how does it compare to the previous year?

ADraftKings reported third-quarter revenue of $1.14 billion, which was up 4% year over year.

Related Reads

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

A new era is dawning for the server CPU (Central Processing Unit), driven by the shift from AI model training to large-scale reasoning and the rise of Agentic AI. This article explores how the CPU is reclaiming a central role in the AI data center. For years, the focus has been on the GPU (Graphics Processing Unit) for AI training. However, as AI moves to the inference and Agent phase—where tasks involve complex, multi-step reasoning, tool calls, and data management—the workload balance is flipping. Studies show CPUs now handle over 70% of the workload in Agentic AI, up from 10-30% in training. This is because Agent tasks generate massive intermediate data (KV Cache) that exceeds GPU memory, forcing it to be offloaded to the CPU's larger, more scalable memory pools. This increased importance is translating into market changes. Major players are taking note: NVIDIA launched its first standalone CPU line, Vera, based on ARM architecture and optimized for Agent performance. AMD doubled its server CPU market forecast to over $1200 billion by 2030. Analyst reports project the total server CPU market could reach $1700 billion by 2030, with AI-driven demand being a primary driver. Furthermore, the classic ratio of CPUs to GPUs in AI servers is rapidly changing, converging from 1:8 toward 1:1 for Agent deployments. This surge in demand has led to a rare industry-wide price increase of 10-15% for server CPUs from Intel and AMD, breaking a decade-long trend of "more performance for the same price." Demand is bifurcating into high-core-count CPUs for in-rack GPU support and moderate-core CPUs for standalone Agent task orchestration. In China, this global trend presents an opportunity for domestic CPU manufacturers like Hygon (海光信息) and Huawei Kunpeng, who are bolstered by both growing AI infrastructure needs and national policies promoting technological self-reliance ("xin chuang"). The maturity of their software ecosystems is also accelerating, evidenced by faster adaptation to new AI models. In conclusion, the narrative is shifting from a GPU-centric view to one where CPU-GPU synergy is critical. The CPU is no longer a peripheral component but a performance-defining bottleneck and a key growth driver in the AI hardware stack, opening a massive new market estimated in the hundreds of billions of dollars.

marsbit11h ago

CPU Makes a Comeback to the Table, A $170 Billion "Power Seizure" Drama Begins

marsbit11h ago

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

TechFlow Intelligence Report: This daily digest covers key developments in AI, crypto, hardware, and geopolitics. In AI, SK Telecom faces US export control scrutiny over its partnership with Anthropic, while a Gemini user reports being misled in a scam scenario, sparking safety debates. China's Z.AI launches the GLM-5.2 model, rivaling Claude Opus without NVIDIA chips. In crypto, Bithumb lists ReProtocol, and Upbit delists KernelDAO. On the hardware front, MIT researchers build a custom OS to study chips, ASML denies US claims its advanced lithography machines are in China, and Amazon considers selling its in-house AI chips. Apple's future A21 Pro chip may use TSMC's latest N2P process. Major tech issues include 10,000 GitHub repositories distributing malware and Apple patching a critical eavesdropping flaw in Beats earbuds. US stocks rise, led by semiconductors, with Intel surging 10.6%, while SpaceX falls 3.5%. Geopolitically, despite a US-Iran deal, the Strait of Hormuz remains risky with ~80 uncleared mines, stalling 80M barrels of oil on standby tankers. Iran postpones Switzerland talks, and Trump calls the agreement an "unconditional surrender." The report highlights a contrast: temporary geopolitical calm versus the ongoing, fundamental restructuring of tech supply chains and chip independence.

marsbit11h ago

TechFlow Intelligence: AMD AI Director Publicly Criticizes Claude Code for "Becoming Dumber and Lazier", Trump Claims Full Ceasefire in Hormuz But Strait Still Has 80 Unexploded Mines

marsbit11h ago

Trading

Spot
Futures
活动图片