
WNBA: Rebounds Per Game Leader
Core Summary
According to the latest prediction market data for the query “WNBA: Rebounds Per Game Leader”, traders have formed a strong consensus.
Currently, Angel Reese is dominating the market with an overwhelming 79.5% chance of winning. Jessica Shepard follows in second place at 20.1%, while A'ja Wilson sits in third with 7%. The betting volume for this specific market has already reached $883.8K, 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
- Angel Reese (79.5%): Currently commanding the highest probability, Angel Reese is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 80¢, signaling a high degree of market conviction. This contract alone has generated $9.6K in volume.
🥈 Tier 2: The Primary Challengers
- Jessica Shepard (20.1%): Positioned as the most viable alternative, Jessica Shepard maintains a 20.1% chance of resolving true. Its “Buy Yes” shares currently trade at 20¢.
- A'ja Wilson (7%): Sitting in third place with a 7% probability, the market shows measured skepticism toward A'ja Wilson, 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 Kiki Iriafen (4%), Kamilla Cardoso (3.4%), and Aneesah Morrow (2.2%).
- Speculative Volume: Despite low statistical likelihood, certain long-tail contracts like Dearica Hamby 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 | Angel Reese | 79.5% | $9.6K | 80¢ | 21¢ |
| 2 | Jessica Shepard | 20.1% | $3.4K | 20¢ | 80¢ |
| 3 | A'ja Wilson | 7.0% | $1.2K | 7¢ | 93¢ |
| 4 | Kiki Iriafen | 4.0% | $1.8K | 4¢ | 96¢ |
| 5 | Kamilla Cardoso | 3.4% | $1.2K | 3¢ | 97¢ |
| 6 | Aneesah Morrow | 2.1% | $1.1K | 2¢ | 98¢ |
| 7 | Dearica Hamby | 1.5% | $869 | 2¢ | 99¢ |
| 8 | Jonquel Jones | 1.1% | $475 | 1¢ | 99¢ |
| 9 | Alyssa Thomas | 0.9% | $474 | 1¢ | 99¢ |
| 10 | Aliyah Boston | 0.9% | $466 | 1¢ | 99¢ |
| 11 | Breanna Stewart | 0.8% | $683 | 1¢ | 99¢ |
| 12 | Natasha Mack | 0.7% | $630.4K | 1¢ | 99¢ |
| 13 | Natasha Howard | 0.3% | $38.8K | 0¢ | 100¢ |
| 14 | Nneka Ogwumike | 0.3% | $193.4K | 0¢ | 100¢ |
Result Rules
This market will resolve according to the player that finishes the 2026 WNBA regular season with the highest rebounds per game average of any qualified player.
In the event of a tie for the highest rebounds per game average, this market will resolve in favor of the player who appeared in the greater number of games. If the tied players also played the same number of games, the market will resolve in favor of the player whose listed last name comes first alphabetically.
Qualification for inclusion in official WNBA leaderboards (such as minimum games or statistical thresholds) will be determined according to WNBA rules and applied exactly as reflected in the official leaderboard.
If the 2026 WNBA regular season is cancelled, postponed after October 8, 2026, 11:59 PM ET, or if an official leader has not been declared within that timeframe, this market will resolve to "Other".
The resolution source will be the WNBA (https://stats.wnba.com/players/traditional/).
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 Angel Reese currently trades at 79.5%, but our AI places its Fair Value at just 40.1%. This creates a large negative EV Gap of -39.5%, suggesting the crowd may be overhyping this outcome and driving the premium too high.
- The Best Value Play (Highest EV) Our model identifies Dearica Hamby as the premium value opportunity on the board. While the market only assigns it a 1.5% trading probability, our AI’s Fair Value assessment sits at 23.5% — yielding an impressive +22% EV Gap.
- Under-the-Radar Dark Horses Other notable discrepancies include Kiki Iriafen (EV Gap: +16.7%) and Jonquel Jones (EV Gap: +13.5%). 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 |
|---|---|---|---|
| Angel Reese | 79.5% | 40.1% | -39.5% |
| Jessica Shepard | 20.1% | 4.2% | -15.8% |
| A'ja Wilson | 7.0% | 11.2% | +4.1% |
| Kiki Iriafen | 4.0% | 20.7% | +16.7% |
| Kamilla Cardoso | 3.4% | 7.2% | +3.8% |
| Aneesah Morrow | 2.1% | 15.6% | +13.4% |
| Dearica HambyBest EV | 1.5% | 23.5% | +22.0% |
| Jonquel Jones | 1.1% | 14.6% | +13.5% |
| Alyssa Thomas | 0.9% | 13.9% | +13.0% |
| Aliyah Boston | 0.9% | 3.0% | +2.0% |
| Breanna Stewart | 0.8% | 1.6% | +0.8% |
| Natasha Mack | 0.7% | 8.3% | +7.7% |
| Natasha Howard | 0.3% | 0.9% | +0.6% |
| Nneka Ogwumike | 0.3% | 0.3% | +0.1% |
Trade Activities
Here is the trade activities for this event.
Sep 7, 2026
- 08:14 AMAGAgecanonix$0.00
Sold 537.79 Yes for Will Nneka Ogwumike have the highest rebounds per game in the WNBA 2026 regular season? at 0
Sep 6, 2026
- 04:14 PMMAmaomao228$0.45
Sold 0.47 Yes for Will Angel Reese have the highest rebounds per game in the WNBA 2026 regular season? at 0.95
Sep 5, 2026
- 02:30 PMPMpmmmmmmmmmmmmmm$0.21
Sold 0.22 Yes for Will Angel Reese have the highest rebounds per game in the WNBA 2026 regular season? at 0.94
- 04:08 AMCOcosmicsteaks$1.64
Bought 82 No for Will Angel Reese have the highest rebounds per game in the WNBA 2026 regular season? at 0.02
- 04:07 AMPOPol7StrategyBuilder$0.40
Sold 40 No for Will Angel Reese have the highest rebounds per game in the WNBA 2026 regular season? at 0.01
- 03:39 AMCOcosmicsteaks$1.14
Bought 57 No for Will Angel Reese have the highest rebounds per game in the WNBA 2026 regular season? at 0.02
- 03:37 AMRIRinaK33$40.00
Bought 40 No for Will Nneka Ogwumike have the highest rebounds per game in the WNBA 2026 regular season? at 1
- 03:37 AMRIRinaK33$40.00
Bought 40 No for Will Natasha Howard have the highest rebounds per game in the WNBA 2026 regular season? at 1
- 03:37 AMRIRinaK33$40.00
Bought 40 No for Will Natasha Mack have the highest rebounds per game in the WNBA 2026 regular season? at 1
- 03:37 AMRIRinaK33$40.00
Bought 40 No for Will Jessica Shepard have the highest rebounds per game in the WNBA 2026 regular season? at 1
- 03:37 AMBEBelaZuchi$0.00
Sold 40 No for Will Angel Reese have the highest rebounds per game in the WNBA 2026 regular season? at 0
- 03:37 AMPOpolesk8888$0.20
Sold 20 No for Will Angel Reese have the highest rebounds per game in the WNBA 2026 regular season? at 0.01
Whales Wallets That Are Betting on This Event
Frequently Asked Questions
What is the current market consensus on "WNBA: Rebounds Per Game Leader"?
As of the latest update, Angel Reese leads the field as the frontrunner with a 79.5% win probability, followed by Jessica Shepard at 20.1% and A'ja Wilson at 7%. Total trading volume for this pool has reached $883.8K, 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 Dearica Hamby as the most significant mispricing. While the market trades it at a 1.5% implied probability, our AI calculates a Fair Value of 23.5% — an Expected Value gap of +22%, 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 Angel Reese. The crowd has pushed its live Trade Value up to 79.5%, yet our Fair Value assessment puts its real likelihood at just 40.1%, a negative EV Gap of -39.5% 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. Kiki Iriafen holds a positive EV Gap of +16.7%, and Jonquel Jones shows +13.5%. These contracts are discounted by live order books despite stronger quantitative backing.
