
California Governor Election Winner
Core Summary
According to the latest prediction market data for the query “California Governor Election Winner”, traders have formed a strong consensus.
Currently, Xavier Becerra is dominating the market with an overwhelming 88.9% chance of winning. Steve Hilton follows in second place at 10.4%, while Chad Bianco sits in third with 0.3%. The betting volume for this specific market has already reached $39.4M, reflecting intense industry interest.
Breakdown of Competitive Tiers
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
- Xavier Becerra (88.9%): Currently commanding the highest probability, Xavier Becerra is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 89¢, signaling a high degree of market conviction. This contract alone has generated $1.6M in volume.
🥈 Tier 2: The Primary Challengers
- Steve Hilton (10.4%): Positioned as the most viable alternative, Steve Hilton maintains a 10.4% chance of resolving true. Its “Buy Yes” shares currently trade at 10¢.
- Chad Bianco (0.3%): Sitting in third place with a 0.3% probability, the market shows measured skepticism toward Chad Bianco, treating it as an outside wildcard unless momentum shifts.
🥉 Tier 3: The Long-Tail Options (Combining for ~0.6%)
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 Tom Steyer (0.3%), Rick Caruso (0.2%), and Alex Padilla (0.2%).
- Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Antonio Villaraigosa are still attracting notable interest.
Comprehensive Order Book & Pricing Dashboard
The table below outlines the full breakdown of contract prices, probabilities, and market depth for all listed outcomes in this prediction pool:
| Rank | Predicted Outcome | Win Probability | Trading Volume | Buy Yes (Cost) | Buy No (Cost) |
|---|---|---|---|---|---|
| 1 | Xavier Becerra | 88.8% | $1.6M | 89¢ | 11¢ |
| 2 | Steve Hilton | 10.3% | $2.3M | 10¢ | 90¢ |
| 3 | Chad Bianco | 0.3% | $1.9M | 0¢ | 100¢ |
| 4 | Tom Steyer | 0.3% | $4.6M | 0¢ | 100¢ |
| 5 | Rick Caruso | 0.1% | $1.8M | 0¢ | 100¢ |
| 6 | Alex Padilla | 0.1% | $2.0M | 0¢ | 100¢ |
| 7 | Antonio Villaraigosa | 0.1% | $1.6M | 0¢ | 100¢ |
| 8 | Butch Ware | 0.1% | $1.2M | 0¢ | 100¢ |
| 9 | Nicole Shanahan | 0.1% | $1.7M | 0¢ | 100¢ |
| 10 | Matt Mahan | 0.1% | $1.3M | 0¢ | 100¢ |
| 11 | Katie Porter | 0.1% | $1.8M | 0¢ | 100¢ |
| 12 | Stephen Cloobeck | 0.1% | $1.6M | 0¢ | 100¢ |
| 13 | Betty Yee | 0.1% | $1.7M | 0¢ | 100¢ |
| 14 | Toni Atkins | 0.1% | $1.6M | 0¢ | 100¢ |
| 15 | Kyle Langford | 0.1% | $1.8M | 0¢ | 100¢ |
| 16 | Eleni Kounalakis | 0.1% | $1.4M | 0¢ | 100¢ |
| 17 | Daniel Mercuri | 0.1% | $1.4M | 0¢ | 100¢ |
| 18 | Tony Thurmond | 0.1% | $1.4M | 0¢ | 100¢ |
| 19 | Michael Younger | 0.1% | $1.5M | 0¢ | 100¢ |
| 20 | Leo Zacky | 0.1% | $1.1M | 0¢ | 100¢ |
| 21 | Eric Swalwell | 0.1% | $1.5M | 0¢ | 100¢ |
| 22 | Kamala Harris | 0.1% | $1.6M | 0¢ | 100¢ |
| 23 | Elaine Culotti | 0.1% | $1.3M | 0¢ | 100¢ |
Result Rules
This market will resolve to according to the candidate who wins the 2026 California gubernatorial election currently scheduled for November 3, 2026.
If the results of the election are not confirmed by July 31, 2027, this market will resolve to "Other".
The resolution source for this market is the Associated Press, Fox News, and NBC. This market will resolve once all three sources call the race for the same candidate. If all three sources haven’t called the race in this state for the same candidate, this market will resolve based on official certification.
AI Valuation Analysis: Finding Market Mispricings & EV Gaps
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 Xavier Becerra currently trades at 88.9%, but our AI places its Fair Value at just 52.6%. This creates a large negative EV Gap of -36.3%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
- The Best Value Play (Highest EV) Our model identifies Matt Mahan as the premium value opportunity on the board. While the market only assigns it a 0.2% trading probability, our AI’s Fair Value assessment sits at 27.2% — yielding an impressive +27.1% EV Gap.
- Under-the-Radar Dark Horses Other notable discrepancies include Eric Swalwell (EV Gap: +24.4%) and Tom Steyer (EV Gap: +19.7%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.
| Market | Trade Value | Fair Value | EV Gap |
|---|---|---|---|
| Xavier Becerra | 88.8% | 52.6% | -36.3% |
| Steve Hilton | 10.3% | 17.5% | +7.1% |
| Chad Bianco | 0.3% | 9.9% | +9.6% |
| Tom Steyer | 0.3% | 19.9% | +19.7% |
| Rick Caruso | 0.1% | 6.6% | +6.5% |
| Alex Padilla | 0.1% | 5.7% | +5.6% |
| Antonio Villaraigosa | 0.1% | 6.9% | +6.8% |
| Butch Ware | 0.1% | 3.4% | +3.3% |
| Nicole Shanahan | 0.1% | 2.4% | +2.3% |
| Matt MahanBest EV | 0.1% | 27.2% | +27.1% |
| Katie Porter | 0.1% | 13.6% | +13.5% |
| Stephen Cloobeck | 0.1% | 16.7% | +16.6% |
| Betty Yee | 0.1% | 7.4% | +7.3% |
| Toni Atkins | 0.1% | 6.4% | +6.3% |
| Kyle Langford | 0.1% | 5.3% | +5.2% |
| Eleni Kounalakis | 0.1% | 6.6% | +6.6% |
| Daniel Mercuri | 0.1% | 15.2% | +15.1% |
| Tony Thurmond | 0.1% | 7.7% | +7.6% |
| Michael Younger | 0.1% | 19.3% | +19.2% |
| Leo Zacky | 0.1% | 12.7% | +12.7% |
| Eric Swalwell | 0.1% | 24.5% | +24.4% |
| Kamala Harris | 0.1% | 5.0% | +5.0% |
| Elaine Culotti | 0.1% | 12.6% | +12.5% |
Trade Activities
Here is the trade activities for this event.
Jun 30, 2026
- 07:48 AMCACarl6761$16.61
Sold 16.61 No for Will Chad Bianco win the California Governor Election in 2026? at 1
- 06:38 AMXFxf6z5cvp$42.96
Sold 46.7 No for Will Steve Hilton win the California Governor Election in 2026? at 0.92
- 06:37 AMSHShirley5770$4.20
Bought 4.204 No for Will Chad Bianco win the California Governor Election in 2026? at 1
- 06:37 AMYWywfm3ihp$25.41
Sold 27.32 No for Will Steve Hilton win the California Governor Election in 2026? at 0.93
- 06:12 AMNINikitka$46.35
Sold 662.2 Yes for Will Steve Hilton win the California Governor Election in 2026? at 0.07
- 06:11 AMNINikitka$39.23
Sold 560.45 Yes for Will Steve Hilton win the California Governor Election in 2026? at 0.07
- 06:11 AMUBUbuntuTrading$6.26
Sold 62.6 No for Will Xavier Becerra win the California Governor Election in 2026? at 0.1
- 06:11 AMNINikitka$23.73
Sold 296.64 Yes for Will Steve Hilton win the California Governor Election in 2026? at 0.08
- 06:11 AMNINikitka$2.30
Sold 28.75 Yes for Will Steve Hilton win the California Governor Election in 2026? at 0.08
- 06:10 AMNINikitka$0.56
Sold 7 Yes for Will Steve Hilton win the California Governor Election in 2026? at 0.08
- 06:10 AMNINikitka$18.79
Sold 234.82 Yes for Will Steve Hilton win the California Governor Election in 2026? at 0.08
- 06:10 AMNINikitka$6.61
Sold 82.57 Yes for Will Steve Hilton win the California Governor Election in 2026? at 0.08
Whales Wallets That Are Betting on This Event
Frequently Asked Questions
What is the current market consensus on "California Governor Election Winner"?
As of the latest update, Xavier Becerra leads the field as the frontrunner with a 88.9% win probability, followed by Steve Hilton at 10.4% and Chad Bianco at 0.3%. Total trading volume for this pool has reached $39.4M, indicating deep liquidity and high trader engagement.
How does the AI Fair Value differ from the live Market Trade Value?
The live Market Trade Value reflects public sentiment, order-book momentum and speculative capital. Our AI Fair Value is computed independently with quantitative models that strip out hype to focus on underlying data. When the two diverge, it creates an EV Gap, flagging where the market may be mispricing an outcome.
Which outcome represents the highest Expected Value (EV) right now?
Our latest run flags Matt Mahan as the most significant mispricing. While the market trades it at a 0.2% implied probability, our AI calculates a Fair Value of 27.2% — an Expected Value gap of +27.1%, making it the premium value play in this pool.
Is the market consensus overreacting to any specific outcome?
Yes — our data suggests a notable overreaction around Xavier Becerra. The crowd has pushed its live Trade Value up to 88.9%, yet our Fair Value assessment puts its real likelihood at just 52.6%, a negative EV Gap of -36.3% that signals the contract is overpriced.
Are there any high-value dark horse options hidden in the long-tail data?
Absolutely. Beyond the headline outcomes, our model highlights under-the-radar potential in lower-ranked options. Eric Swalwell holds a positive EV Gap of +24.4%, and Tom Steyer shows +19.7%. These contracts are discounted by live order books despite stronger quantitative backing.
