Developer API
Institutional-grade sports analytics infrastructure powering quantitative edge detection, real-time market microstructure analysis, and ML-driven probability surfaces.
REST API v4.0
WebSocket Feeds
Production Ready
High Availability
Platform Metrics
10K+
Monte Carlo Sims/Game
12+
Sharp Source Aggregation
Institutional-Grade Features
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Neural Network Inference
Deep learning models trained on decades of historical data, generating probability surfaces with quantified uncertainty bounds. LSTM/Transformer ensemble architecture.
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CLV Tracking (Closing Line Value)
Real-time closing line value analysis - the #1 indicator of long-term betting profitability. Track your alpha against efficient market benchmarks.
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Dark Pool Flow Detection
Proprietary algorithms detect institutional-level sharp money movements across major sportsbooks. Syndicate activity flagging with confidence scoring.
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Steam Move Velocity
Real-time line movement velocity tracking with sub-second granularity. Detect coordinated sharp action before markets adjust.
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Kelly Criterion Optimization
Optimal bet sizing using Kelly Criterion with fractional Kelly variants. Risk-adjusted position sizing based on edge confidence and bankroll parameters.
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Consensus Probability Matrix
Multi-source probability aggregation from 12+ sharp models including Sagarin, Massey, KenPom, BPI, and proprietary neural networks.
Edge Classification Tier System
Every opportunity is classified using our proprietary composite scoring algorithm that weighs sharp consensus, model confidence, and market efficiency metrics.
| Tier |
Edge Range |
Composite Score |
Signal Characteristics |
| GOAT |
15%+ |
92+ |
Maximum edge, rare high-conviction signals, immediate action window |
| ALL-IN |
11-15% |
88-91 |
Extreme confidence, strong sharp consensus, prioritized execution |
| BLACK |
10-11% |
82-87 |
High confidence, institutional-grade signals, standard execution |
| PLATINUM |
8-10% |
75-81 |
Standard edge, positive expected value, volume plays |
| GOLD |
5-8% |
65-74 |
Base tier, marginal +EV, research candidates |
API Endpoints
GET
/api/opportunities
Returns all current betting opportunities with full analytics payload including tier classification, edge calculation, sharp money indicators, and model consensus.
GET
/api/opportunities/{sport}
Filter opportunities by sport key. Supports: basketball_nba, americanfootball_nfl, basketball_ncaab, basketball_wnba, icehockey_nhl, americanfootball_ncaaf, baseball_mlb, soccer_usa_mls
GET
/api/sharp-money
Real-time sharp money flow indicators including dark pool activity, syndicate signals, handle percentages, and reverse line movement detection.
GET
/api/consensus-matrix
Multi-source probability consensus from 12+ rating systems: Sagarin, Massey, KenPom, BPI, ESPN FPI, Colley, ELO, and neural network ensembles.
Quick Start
import requests
response = requests.get(
"https://betongoat.com/api/opportunities",
headers={"Authorization": "Bearer YOUR_API_KEY"}
)
opportunities = response.json()
goats = [o for o in opportunities if o['tier'] == 'GOAT']
for opp in goats:
print(f"{opp['game']} | {opp['pick']} | Edge: {opp['edge']}%")
Quantitative Sports Analytics Glossary
Industry-standard terminology used by institutional bettors and quantitative sports analysts.
CLV (Closing Line Value)
The difference between your bet price and the closing line. Consistently beating closing lines indicates long-term profitability.
Sharp Money
Wagers placed by professional bettors, syndicates, and "wiseguys" who consistently beat the market. Also called "smart money."
Steam Move
Rapid, coordinated line movement across multiple sportsbooks caused by sharp action. High-velocity price discovery.
Reverse Line Movement (RLM)
When the line moves opposite to public betting percentages, indicating sharp money on the opposite side.
Kelly Criterion
Mathematical formula for optimal bet sizing that maximizes long-term geometric growth rate while avoiding ruin.
Expected Value (EV)
The average amount you would win (or lose) per bet if you could place the same wager infinite times. EV = (Win Prob × Payout) - 1.
Sharpe Ratio
Risk-adjusted return metric. Higher Sharpe = better risk-adjusted performance. Measures excess return per unit of volatility.
Sortino Ratio
Similar to Sharpe but only penalizes downside volatility. More relevant for asymmetric return distributions.
Monte Carlo Simulation
Computational technique running thousands of randomized simulations to estimate probability distributions and outcome ranges.
VaR (Value at Risk)
Maximum expected loss at a given confidence level (e.g., 95% VaR). Standard risk metric from quantitative finance.
Alpha
Excess returns above market benchmark. In sports betting, alpha = returns above the vig-adjusted break-even point.
Dark Pool Flow
Large institutional-level wagers that are not visible in standard public betting percentages. Syndicate activity indicator.
Ready to Integrate?
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