Built by Data Scientists,
for Smart Bettors
We combine deep domain expertise in Australian sports with cutting-edge machine learning to find edges the market misses.
Our Story
Tensais Tips started in 2022 as a side project among a small group of data scientists based in Australia. We were frustrated by the state of sports tipping — too much gut feel, not enough rigour. Most tipping services rely on a single person's opinion, and their track records are rarely audited. We knew there was a better way.
We began with horse racing, building models on publicly available data and testing them across thousands of historical races before going live. The results surprised even us. Our models consistently found value that traditional form analysis missed, particularly in conditions where the market was slow to adjust — wet tracks, jockey changes, barrier redraws.
Today, Tensais Tips covers three sports and serves over 500 members across Australia and New Zealand. We remain a lean, data-first team obsessed with one thing: finding a genuine, measurable edge. Every tip we publish comes with transparent confidence scores, expected value calculations, and staking recommendations — because we believe informed bettors are better bettors.
How Our Models Work
Four pillars of our AI-driven approach to sports analysis.
Historical Data
We ingest millions of historical data points spanning race results, form guides, track conditions, weather patterns, and market movements going back over a decade.
Ensemble ML
Our predictions use an ensemble of machine learning models — gradient boosting, neural networks, and Bayesian inference — each specialised for different market conditions.
Continuous Learning
Models retrain daily on the latest results, adapting to seasonal trends, venue changes, and shifting form. What worked last month stays relevant this month.
Value Detection
We compare our probability estimates against bookmaker odds in real-time to surface positive expected value bets — the mathematical edge that drives long-term profit.
Runners Analysed
Races Processed
Sports Covered
Win Rate