Which artists will have a Billboard #1 song this year?

According to the latest prediction market data for the query “Which artists will have a Billboard #1 song this year?”, traders have formed a strong consensus.

Currently, Mariah Carey is dominating the market with an overwhelming 89.5% chance of winning. Peso Pluma follows in second place at 63%, while Sabrina Carpenter sits in third with 57.5%. The betting volume for this specific market has already reached $156.5K, reflecting intense industry interest.

To better assess where each potential outcome stands, the market can be segmented into three distinct trading tiers based on implied probability and contract pricing:

🥇 Tier 1: The Dominant Leader

• Mariah Carey (89.5%): Currently commanding the highest probability, Mariah Carey is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 90¢, signaling a high degree of market conviction. This contract alone has generated $1.9K in volume.

🥈 Tier 2: The Primary Challengers

• Peso Pluma (63%): Positioned as the most viable alternative, Peso Pluma maintains a 63% chance of resolving true. Its “Buy Yes” shares currently trade at 63¢.
• Sabrina Carpenter (57.5%): Sitting in third place with a 57.5% probability, the market shows measured skepticism toward Sabrina Carpenter, treating it as an outside wildcard unless momentum shifts.

🥉 Tier 3: The Long-Tail Options (Combining for ~0%)

Beyond the top three choices, a wide field of macro variables and long-shot outcomes are being tracked. While their individual probabilities hover low, they represent crucial hedges for speculative traders:

• Alternative Options: This includes Post Malone (53.5%), Morgan Wallen (53%), and Rihanna (52.7%).
• Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Lil Baby are still attracting notable interest.

This market will resolve to “Yes” if any song by the listed artist is the number 1 song in any official weekly Billboard Hot 100 songs chart released for a data collection reference period entirely between January 1 and December 31, 2026. Otherwise, this market will resolve to “No”.

Any song released with the listed artist as a primary artist will count, including songs released before 2026. If a song is released jointly by multiple artists credited equally as primary artists, it will count for all of them. Features, writing credits, production credits, or other forms of non-primary contributions to a song will not count. Artist attribution will be determined solely by the artists displayed by Billboard on the relevant chart.

Billboard updates its Hot 100 songs chart each Tuesday (with adjusted release schedules on some holiday weeks), reflecting data collected in the previous week (Friday-Thursday). Each Billboard chart is then titled “Week of (date of the upcoming Saturday)”. The first Billboard Hot 100 song chart relevant to this market will be the chart titled “Week of January 17, 2026” for a data collection reference period of January 2-8, 2026. The final Billboard Hot 100 song chart relevant to this market will be the Chart titled “Week of January 9, 2027” for a data collection reference period of December 25-31, 2026.

Updates or revisions made within this market’s timeframe to the #1-ranked song on previously published Billboard Hot 100 charts will be considered; however, such updates will not disqualify a previously published Billboard Hot 100 #1 song from counting. If a Billboard Hot 100 #1 song is revised after initial publication, both the originally published #1 song and the revised #1 song will count for this market. Updates or revisions made after the release of the final Billboard Hot 100 song chart relevant to this market will not be considered.

The resolution source for this market will be the weekly Billboard Hot 100 songs charts published each week at https://www.billboard.com/charts/hot-100/ and through other official Billboard channels.

While human consensus and speculative volume shape the broader prediction market, our quantitative algorithms offer a data-driven counter-perspective. By analyzing fundamental signals, underlying trends and historical distributions, our AI Valuation model calculates an independent “Fair Value” probability for each outcome.

Comparing this Fair Value against the current Trade Value uncovers major disparities — known as the Expected Value (EV) Gap. Contracts with a positive EV Gap represent statistically underpriced outcomes, whereas a negative EV Gap flags a potential market overreaction.

Top AI Alpha & Mispriced Arbitrage Opportunities

Based on the latest data model run, several key contracts stand out with significant deviations:

• The Most Overvalued Outcome Peso Pluma currently trades at 63%, but our AI places its Fair Value at just 7.1%. This creates a large negative EV Gap of -55.9%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
• The Best Value Play (Highest EV) Our model identifies SZA as the premium value opportunity on the board. While the market only assigns it a 21% trading probability, our AI’s Fair Value assessment sits at 64.3% — yielding an impressive +43.3% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include Travis Scott (EV Gap: +12.6%) and A$AP Rocky (EV Gap: +12.2%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.