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Match Prediction Engine
Top models accuracy · top-tier VANGUARD 86.1%    SENTINEL 86.0%    HIGHORACLE 83.3%    STRONGHOLD 81.5%    TIER3ELO 80.6%    TIERELO 79.1%    ELOHQ 75.0%    TIER2ELO 73.1%    ORACLE 72.7%    WR10 68.0%   
2 New Consensus Models: NEXUS & TRIBUNAL

We've added 2 new consensus models to CS2PREDICT: NEXUS and TRIBUNAL. Both were discovered through live data analysis — optimizing over real pre-match predictions with zero data leakage.

What Are Consensus Models?

Unlike base models that compute predictions independently from raw team stats, consensus models act as filters on top of existing models. They only make a prediction when multiple models agree with high confidence. The result: fewer predictions, but significantly higher accuracy.

The New Models

NEXUS — APEX + ORACLE both >65% same direction
The sharpest double confirmation on the site. NEXUS only activates when both APEX and ORACLE are strongly aligned — meaning two independent multi-factor models see the same outcome with high conviction. In backtesting on live top-tier matches: 100% accuracy on 12 predictions.

TRIBUNAL — OPEN + PRO + ORACLE all >55% same direction
A three-model consensus built around ORACLE as the anchor, confirmed by both the OPEN and PRO predictors. These three models use different feature sets — when all three agree, the signal is remarkably consistent. In backtesting on live top-tier matches: 100% accuracy on 11 predictions.

Important Context

The 100% accuracy figures are from a small sample of top-tier matches — treat them as promising early signals, not guarantees. Both models will fire rarely by design: NEXUS requires two models at 65%+ confidence, TRIBUNAL requires three at 55%+. Expect 1–3 predictions per week on top-tier matches.

As live data accumulates over the coming weeks, you'll see real accuracy statistics on each model's page.

NEXUS and TRIBUNAL are available for Pro subscribers.

How Match Predictions & Payouts Work
Model of the Week W15 — ORACLE (83.3%)
How to Use Match Predictions
How CS2PREDICT Works
Understanding Player Profiles
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