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daily-card

Rank NHL nightly slates into betting edges with quarter-Kelly stake recommendations.

1|Updated May 5, 2026
Search Tags:#betting#nhl#bankroll management#kelly sizing#hockey#odds comparison#edge analysis
One-click install
npx skills add https://github.com/sports-data-hq/hockey-skills --skill daily-card-sports-data-hq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: daily-card
Source: https://github.com/sports-data-hq/hockey-skills/tree/main/skills/daily-card
Command: npx skills add https://github.com/sports-data-hq/hockey-skills --skill daily-card-sports-data-hq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns a full night of hockey games into a clear betting card, helping users identify which matchups have the strongest edge and how much to stake.

Core Features & Use Cases

  • Full Slate Analysis: Pulls the complete set of games for tonight and organizes them into a readable card.
  • Odds Comparison: Compares moneyline, puck line, and totals across books to surface market value.
  • Edge and Stake Guidance: Computes model-based expected value, filters weak plays, and sizes bets with quarter-Kelly logic.
  • Use Case: A bettor wants to know which NHL games are worth wagering on tonight and needs a ranked list with exposure guidance.

Quick Start

Use the daily-card skill to analyze tonight’s NHL slate and return the best betting opportunities with recommended stakes.

Frequently Asked Questions about daily-card

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I rank tonight's NHL slate into actionable betting edges?▼

Rank tonight's NHL slate by retrieving game schedules, collecting per-game odds, calculating devigged market pricing, and computing model-driven edge against your probabilities to surface value bets.

What's the best way to compare hockey odds across sportsbooks for tonight's games?▼

Compare hockey odds across books by pulling moneyline, puck line, and totals for tonight's games, then applying devigged market pricing to identify where the strongest betting value exists.

Can I use quarter-Kelly sizing for bankroll management on NHL bets?▼

Yes, you can apply quarter-Kelly sizing for bankroll management by feeding your model-based expected value and edge calculations into the stake recommendation logic for each NHL game.

How does edge analysis work for a daily hockey betting card?▼

Edge analysis for a daily hockey betting card works by comparing devigged market pricing against your user probabilities, filtering weak plays, and ranking the remaining matchups by expected value.

Do I need my own probabilities to calculate betting edges on tonight's hockey games?▼

Yes, you need your own user probabilities to calculate betting edges, as the edge calculation compares your model's expected value against the devigged market pricing to determine stake recommendations.

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