Data-Driven Intangible Context Analysis
NBA · MLB · Soccer Props

Know What The
Analysts Miss.

Every analyst has a take. Few have the data. SharpIQ goes beyond the box score — tracking fatigue, travel, and the intangibles that decide prop outcomes before tip-off.

Sample Analysis

LeBron James

PointsO/U24.5
UNDER
72%
Confidence
High72%

Context Signals

Back-to-back game

Second game in two nights — historically −3.1 pts on B2Bs.

Cross-country flight

2,450 miles traveled, 3-hour timezone shift.

Strong recent form

Averaging 27.4 pts over last 5 games.

✓ WINLeBron JamesPTS O24.5
·
✓ WINShohei OhtaniK O7.5
·
✓ WINNikola JokicREB O11.5
·
✓ WINFreddie FreemanH O0.5
·
✓ WINLamine YamalG+A O0.5
·
✓ WINShai Gilgeous-AlexanderPTS O31.5
·
✓ WINJuan SotoHR O0.5
·
✓ WINLeBron JamesPTS O24.5
·
✓ WINShohei OhtaniK O7.5
·
✓ WINNikola JokicREB O11.5
·
✓ WINFreddie FreemanH O0.5
·
✓ WINLamine YamalG+A O0.5
·
✓ WINShai Gilgeous-AlexanderPTS O31.5
·
✓ WINJuan SotoHR O0.5
·

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Analyses run

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Historical hit rate

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Context signals

How It Works

1

Input a prop

Choose a player, prop type, line, and opponent.

2

AI retrieves context

We pull game logs, travel data, fatigue scores, and splits.

3

Get a sourced verdict

OVER or UNDER with confidence score and full reasoning.

See It In Action

A real output from the SharpIQ pipeline — no signup required to see what you get.

Sample Analysis

LeBron James

PointsO/U24.5
UNDER
72%
Confidence
High72%

Context Signals

Back-to-back game

Second game in two nights — historically −3.1 pts on B2Bs.

Cross-country flight

2,450 miles traveled, 3-hour timezone shift.

Strong recent form

Averaging 27.4 pts over last 5 games.

Real Game Data

Full season game logs, travel distances, timezone shifts, and back-to-back schedules — all ingested nightly.

Fatigue Intelligence

A composite 0–100 fatigue score factors in minutes load, travel miles, timezone shift, and rest days.

Sourced Verdicts

Every OVER/UNDER verdict shows exactly what data drove it. No black box — full transparency.