We Don't Predict Outcomes.We MoveBefore The Market.
Every bettor looks at what a team does on average. We were the first to look at what a team does depending on what's happening right now — the score, the half, the pressure.
“Static averages are noise. The bookmaker sees the same noise. Game State isolates the signal — the hidden behaviour that only emerges under specific match conditions. We called it first. Now you can use it.”
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Not Averages. Conditions.
A team trailing 0-1 at halftime has statistically different behaviour than the same team leading 1-0. Game State separates these universes.
Timing Is Everything.
When a goal happens changes everything — not just the score. A goal at 12' creates a completely different match than a goal at 78'.
Where The Edge Hides.
Bookmakers price based on aggregate history. We price based on conditional history. That gap is where value lives.
The Engines
Pre-selects today's highest-probability Over 2.5 matches using a calibrated expected-goals model. Enter live at 0-0 when odds hit 2.00 for proven edge.
Calculates the statistical "fuel" available in a match to produce 3+ goals. Combines HT goal frequency (Spark) with conversion rate (Fuel) into a single Storm Score.
The exact mirror of the Over 2.5 Oracle: same calibrated expected-goals model, reversed to hunt for the tightest, lowest-scoring matches. Pre-selects today's highest-probability Under 2.5 games.
The exact mirror of the Over 2.5 Sniper: same match-by-match xG scoring, reversed to find games built for a quiet, low-scoring outcome.
Monitors every live match from minute 60, combining the scoreline at that point (tied, ahead by 1, or ahead by 2+), league tier, and each team's recent late-goal form into a single calibrated probability of another goal before full-time.
Detects the deadliest pattern in football: Early goal → long silence → late killer. The false lull where bookmakers drift the Over line — and lose.
Locks in from the 56th minute onward, blending each team's own history of scoring after the hour mark with the current scoreline gap to flag matches primed for a goal in the closing stages — validated blind on 115,000+ matches from the 2025-2026 season.
Reads the score at half-time — draws and one-goal gaps, up to 2-1/1-2 — and blends each team's own scoring pace with league-wide patterns to flag matches primed for at least one more goal in the second half.
Finds matches still locked at 0-0 past minute 20, then reveals each team's own history of staying under 2.5 goals from a cold start — validated across 395,000+ matches since 2020.
Excludes matches where either team has a persistent history of goalless first halves, then ranks the rest by how reliably both sides find the net before half-time — validated across 134,000+ matches since June 2020.
Estimates the chance a match will NOT be level at half-time, using each team's HT-draw history shrunk toward the league baseline, plus a goal-timing profile when minute-by-minute data is available.
Estimates the chance a match will NOT end level, using each team's FT-draw history shrunk toward the league baseline. Backtest-gated at 80%+ confidence, the point where the model starts beating the "always lay" baseline.
Reacts to matches already level at half-time and estimates the chance the tie breaks before full-time, using each team's conditional draw-continuation history. Backtest-gated at 70%+ confidence.
Pre-selects today's highest-probability BTTS matches using a Dixon-Coles attack/defense model with league prior and H2H blend. 64.8% hit rate at Score ≥70, backtested out-of-sample on 425k+ games.
Niche BTTS NO engine restricted to Steel/Bronze/Iron tier leagues — empirical clean-sheet model finds real edge where major-tier signals fail. 61.5% hit rate at Score ≥70, out-of-sample.
Monitors live matches where one team hasn't scored yet but has a high historical attack rate. Identifies in-play BTTS completion opportunities from minute 45 with optional live SOT boost.
Detects live matches where the losing team has a high historical corner attack rate. Uses Poisson conditional on corners already taken to estimate Over 9.5 / 10.5 / 11.5 probability in real time.
See how the assigned referee compares to the league average on cards, fouls and penalties, plus his VAR intervention rate — goal overturns, penalty reversals and card upgrades — before kickoff.
Uses historical attack rates and live shot data to calculate which team has the highest probability of scoring the next goal. Updated every minute with a 60/40 historical/live blend.
Reveals how teams behave after halftime depending on the score. Identifies PHOENIX teams (comeback kings) and GLASS JAW teams (collapses when leading).
Monitors live matches where a red card changed the balance. Identifies the advantage team and measures historical impact: how often do teams capitalise when their opponent plays with 10 men?
Detects live 2H matches where the score and game pace confirm the goals are done. Conditional Poisson on remaining lambda calculates P(no more goals) in real time.