Short Answer

Both the model and the market expect Shai Gilgeous-Alexander to have scored 20+ points in at least 127 consecutive regular season games, with no compelling evidence of mispricing.

1. Executive Verdict

  • Shai Gilgeous-Alexander's 20+ point streak already exceeds 135 consecutive games.
  • Research could not determine back-to-back scoring efficiency for SGA.
  • Specific conditional scoring statistics for Shai Gilgeous-Alexander are unavailable.
  • The market has experienced notable volatility with recent significant price movements.
  • This prediction market is scheduled to close on May 29, 2028.

Who Wins and Why

Outcome Market Model Why
200+ consecutive games 44.0% 34.5% Research does not highlight strong supporting evidence.
195+ consecutive games 2.0% 34.5% Research does not highlight strong supporting evidence.
175+ consecutive games 20.0% 34.5% Research does not highlight strong supporting evidence.
155+ consecutive games 52.0% 41.6% Research does not highlight strong supporting evidence.
185+ consecutive games 12.0% 34.5% Research does not highlight strong supporting evidence.

2. Market Behavior & Price Dynamics

Historical Price (Probability)

Outcome probability
Date
This market, which predicts the length of Shai Gilgeous-Alexander's 20+ point scoring streak, has experienced a significant downward trend. It opened with a high probability of 90.0%, indicating strong initial confidence in a long streak. However, the price has since fallen to its current level of 55.0%. The most notable movement was a sharp 28 percentage point drop on April 4, 2026, when the price fell from 90.0% to 62.0%. The reason for this sudden decrease is not apparent from the available context, suggesting it could be a reaction to an external event not provided or an adjustment by a significant market participant.
The overall trading volume is relatively low at 92 contracts, and the sample data shows zero volume during the period of the major price drop. This lack of volume suggests that the price movements may not reflect broad market participation or conviction. Instead, they could be the result of a few traders or a market maker repricing the odds. The chart shows an initial price ceiling at 90.0% and has established a current support level at the all-time low of 55.0%. After the initial drop, the price temporarily stabilized near 62.0% before continuing its descent.
The price action clearly indicates a major shift in market sentiment. What began as strong optimism has eroded substantially. The market has moved from a high-certainty forecast to a much more uncertain outlook, with the current 55.0% price reflecting nearly even odds. The sustained downward trend following the initial sharp drop shows that pessimism has continued to grow among the market's participants.

3. Significant Price Movements

Notable price changes detected in the chart, along with research into what caused each movement.

Outcome: 185+ consecutive games

📉 April 05, 2026: 29.0pp drop

Price decreased from 41.0% to 12.0%

What happened: No supporting research available for this anomaly.

Outcome: 165+ consecutive games

📈 April 04, 2026: 32.0pp spike

Price increased from 24.0% to 56.0%

What happened: No supporting research available for this anomaly.

4. Market Data

View on Kalshi →

Contract Snapshot

This market resolves to Yes if Shai Gilgeous-Alexander scores 20+ points in at least 165 consecutive Pro Basketball regular season games before May 15, 2028. The streak continues if he plays and scores 20+ points, or if he does not play; it is broken if he plays and scores less than 20 points. If the 165+ consecutive game streak is not achieved by May 15, 2028, the market resolves to No and will close by May 29, 2028.

Available Contracts

Market options and current pricing

Outcome bucket Yes (price) No (price) Last trade probability
145+ consecutive games $0.98 $0.34 55%
155+ consecutive games $0.95 $0.78 52%
165+ consecutive games $0.58 $0.92 51%
200+ consecutive games $0.40 $0.97 44%
175+ consecutive games $0.74 $0.96 20%
185+ consecutive games $0.49 $0.98 12%
195+ consecutive games $0.29 $0.96 2%

Market Discussion

Limited public discussion available for this market.

5. Can Shai Gilgeous-Alexander's Back-to-Back Efficiency Be Determined?

Correlation RequestedSGA's minutes vs [^]. scoring efficiency on second night of back-to-backs against top-10 defensive teams (Past 3 seasons) [^].
Data AvailabilitySpecific correlation cannot be determined from provided web research [^].
Data RequiredGame-by-game minutes, points, field goal attempts, and opponent defensive rating over three seasons [^].
The requested statistical correlation cannot be determined from current web research. The specific statistical correlation between Shai Gilgeous-Alexander's minutes played on the second night of a back-to-back and his scoring efficiency (Points Per Field Goal Attempt) in those games, particularly against teams with a top-10 defensive rating over the past three seasons, could not be established. The provided web research results do not offer the granular, game-by-game data necessary to perform this detailed analysis [^].
Available sources lack specific game-level data points and necessary filters. While the research sources do provide general statistics on Shai Gilgeous-Alexander's performance in back-to-back games [^] and overall game logs [^], or even game logs for future seasons such as 2025-26 [^], they do not present the individual game data needed to calculate points per field goal attempt for each specific game. Furthermore, these sources do not allow for filtering results by the opponent's top-10 defensive rating or collecting this data consistently over the past three completed seasons. Information regarding his 20-point scoring streaks [^] or only his last 15 games [^] was not pertinent to the requested correlation. To calculate the desired correlation, a dataset for each game on the second night of a back-to-back would require his minutes played, total points, total field goal attempts for scoring efficiency, and the defensive rating of the opposing team. None of the provided sources facilitate the extraction and compilation of this specific, multi-faceted game-level data required for such a statistical analysis.

6. Why Can't Shai Gilgeous-Alexander's Conditional Stats Be Found?

Data Extraction CapabilityCannot be directly extracted or compiled (N/A) [^]
Irrelevant Source LinksSeveral links refer to future seasons [^], [^]
Conditional Analysis CapabilityNot supported by current sources [^], [^], [^], [^], [^]
The requested specific statistics regarding Shai Gilgeous-Alexander's scoring could not be extracted. The average point total for Shai Gilgeous-Alexander, and the instances of him scoring fewer than 25 points in games where teammates Jalen Williams or Chet Holmgren recorded a usage rate above 28% over the last two seasons, cannot be directly compiled from the provided research. The available sources primarily consist of general player statistics links from platforms such as StatMuse and Basketball-Reference.com, which do not offer the necessary functionality for this level of detailed conditional analysis.
Several provided links were irrelevant or lacked required cross-referencing capabilities. A significant limitation is that specific links for player game logs, such as [^] for Jalen Williams and [^] for Chet Holmgren, refer to future seasons (2025-26 and 2024-25, respectively). These are therefore irrelevant for analyzing data from the 'last two seasons.' Furthermore, other StatMuse links [^], [^], [^], [^], [^] offer usage rates and statistics for individual players, but they do not provide a mechanism to cross-reference Shai Gilgeous-Alexander's scoring performance conditional on a teammate's in-game usage rate exceeding a specific threshold across multiple games.
Answering the question requires accessing detailed game-by-game advanced statistics. To accurately address the initial inquiry, it would be necessary to access detailed, game-by-game advanced statistics, including usage rates for Jalen Williams and Chet Holmgren, and point totals for Shai Gilgeous-Alexander. This data would be specifically required for the 2022-23 and 2023-24 seasons. The current set of provided sources does not facilitate the complex data aggregation process needed for this intricate conditional analysis.

7. Can Shai Gilgeous-Alexander's Fourth-Quarter Stats Be Calculated?

Specific Game DataNot contained for direct calculation [^]
Required for Team DifferentialTeam game logs for 2024-25, 2025-26 seasons [^]
Required for Individual StatsIndividual game logs and fourth-quarter stats [^]
Specific data for this analysis is currently unavailable in the provided research. The required data points to calculate Shai Gilgeous-Alexander's average fourth-quarter playing time and point total were not contained within the research results. This includes instances where the Thunder led or trailed by 15+ points entering the fourth quarter, and SGA had not yet reached 20 points, for games from the 2024-25 and 2025-26 seasons. While available sources include URLs to extensive game logs for Shai Gilgeous-Alexander and the Oklahoma City Thunder for these seasons [^], along with sources for fourth-quarter statistics [^], the actual content of these pages, such as game-by-game scores at the end of the third quarter, SGA's cumulative points through three quarters, and his specific fourth-quarter minutes and points, was not extracted. Without this granular, parsed data, identifying games meeting all criteria and performing the necessary calculations is not possible.
Answering this question requires comprehensive, multi-conditional data analysis. To address the query, a detailed process would be needed, starting with identifying games where the Thunder's score differential at the end of the third quarter was 15 points or more, utilizing team game logs [^]. Subsequently, SGA's individual game logs [^] would need to be reviewed for those specific games to ascertain his point total at the end of the third quarter, filtering for situations where he had not yet scored 20 points. Finally, his fourth-quarter playing time and point totals would then need to be extracted [^] and averaged from the remaining subset of games that meet all conditions. This detailed, multi-conditional data retrieval and calculation cannot be performed with only the titles and links to the sources provided.

8. Why are Shai Gilgeous-Alexander's stats against specific defenses unavailable?

Top Defensive Teams 2025-26Identifiable (FOX Sports, StatMuse, Basketball-Reference.com) [^]
Defensive Scheme Data (e.g., Drop Coverage)Not available in research sources [^]
Elite Rim-Protecting Centers DataNot available in research sources [^]
Specific statistics for Shai Gilgeous-Alexander against certain defensive schemes are unavailable. While it is possible to identify the top 5 NBA defenses for the 2025-26 season using sources like FOX Sports, StatMuse, and Basketball-Reference.com [^], specific performance data for Shai Gilgeous-Alexander against teams that predominantly employ a 'drop coverage' scheme with an elite rim-protecting center cannot be provided. This also applies to differentiating his statistics against such teams compared to those that primarily switch defensively.
Available research results do not detail specific defensive schemes or player roles. Comprehensive web research did not yield data on which specific teams primarily utilize a 'drop coverage' defensive scheme, identify teams with 'elite rim-protecting centers', or distinguish them from teams that primarily switch defensively [^]. Because such granular defensive strategies and player roles are not present in the available sources, it is not possible to filter the top defensive teams according to these specific criteria to calculate Shai Gilgeous-Alexander's precise scoring average and field goal percentage against only those types of teams [^].

9. How Did Shai Gilgeous-Alexander's Scoring Change Post-FIBA World Cup?

2022-23 NBA Season PPG31.4 [^]
2023-24 NBA Season PPG (first 10 games)32.2 [^]
PPG Increase Post-FIBA0.8 [^]
Shai Gilgeous-Alexander represented Canada in the 2023 FIBA World Cup [^] . In the NBA regular season immediately preceding this international competition, the 2022-23 season, Gilgeous-Alexander maintained an average of 31.4 points per game [^].
Following international competition, SGA's scoring increased in the new season. In the first 10 games of the subsequent 2023-24 NBA regular season, Shai Gilgeous-Alexander's scoring average rose to 32.2 points per game [^]. This represented a slight increase of 0.8 points per game compared to his average from the prior 2022-23 season [^].

10. What Could Change the Odds

Key Catalysts

Catalyst analysis unavailable.

Key Dates & Catalysts

  • Expiration: May 29, 2028
  • Closes: May 29, 2028

11. Decision-Flipping Events

  • Trigger: Catalyst analysis unavailable.

13. Historical Resolutions

Historical Resolutions: 12 markets in this series

Outcomes: 3 resolved YES, 9 resolved NO

Recent resolutions:

  • KXSHAI20PTREC-2028-135: YES (Apr 03, 2026)
  • KXSHAI20PTREC-2028-127: YES (Mar 20, 2026)
  • KXSHAI20PTREC-2027-200: NO (Mar 10, 2026)
  • KXSHAI20PTREC-2027-195: NO (Mar 10, 2026)
  • KXSHAI20PTREC-2027-185: NO (Mar 10, 2026)