Will Russia enter Havrylivka by...?

According to the latest prediction market data for the query “Will Russia enter Havrylivka by...?”, traders have formed a strong consensus.

Currently, September 30 is dominating the market with an overwhelming 46% chance of winning. July 31 follows in second place at 7.1%. The betting volume for this specific market has already reached $66.6K, 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

• September 30 (46%): Currently commanding the highest probability, September 30 is heavily favored by the order book. Traders looking to back this outcome face a “Buy Yes” contract price of 46¢, signaling a high degree of market conviction.

🥈 Tier 2: The Primary Challengers

• July 31 (7.1%): Positioned as the most viable alternative, July 31 maintains a 7.1% chance of resolving true. Its “Buy Yes” shares currently trade at 7¢.

This market will resolve to “Yes” if, according to the ISW map, Russia captures any territory of Havrylivka, Dnipropetrovsk Oblast, (48.072788° N, 36.523524° E) between market creation and February 28, 2026, at 11:59 PM ET.

Territory will be considered captured if any part of Havrylivka is shaded under a below specified layer on the ISW map (https://storymaps.arcgis.com/stories/36a7f6a6f5a9448496de641cf64bd375) by the resolution date. Otherwise, the market will resolve to “No”.

For any change on the ISW map to qualify for this market’s resolution, the relevant shading indicating Russian control must persist through the next full ISW daily update cycle. If ISW skips a day, shading must persist until the next finalized ISW update is published, regardless of the date. Any continuous shading which reflects either "Assessed Russian Infiltration Areas in Ukraine", “Assessed Russian Control”, “Assessed Russian Advance In Ukraine”, or “Assessed Russian Gains in the Past 24 Hours” will qualify.

Once a qualifying condition is met, any subsequent loss of control will not be considered towards the resolution of this market.

If Russia comes into control of the specified territory as a result of a negotiated settlement, this will qualify for a 'Yes' resolution, regardless of whether it is shaded red in the ISW map. However, an announcement of a negotiated settlement that gives Russia de jure control will not qualify. Actual control must be established.

The primary resolution source for this market will be the ISW Ukraine map. If the ISW map is rendered unavailable, information from DeepStateMap (https://deepstatemap.live/) may be used. If information from both the ISW and DeepStateMap are rendered permanently unavailable, a consensus of credible reporting may be used.

Note: Any temporary glitches or errors in the map will not be considered.

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 Best Value Play (Highest EV) Our model identifies September 30 as the premium value opportunity on the board. While the market only assigns it a 46% trading probability, our AI’s Fair Value assessment sits at 52% — yielding an impressive +6% EV Gap.
• Under-the-Radar Dark Horses Other notable discrepancies include July 31 (EV Gap: +4.8%). These long-tail opportunities are heavily discounted by the live order books despite stronger statistical backing from our predictive model.