AI prompts · Hockey

AI hockey betting prompts that start with the goalie

One position decides more of a hockey price than any factor in any other sport. If your prompt does not know who is starting in goal, everything it produces afterwards is decoration.

Confirmed starter Save % PP / PK Corsi / xG share Puck línea
Why hockey is different

What a hockey prompt has to get right

Hockey is a low-event sport with the highest single-game variance of the major leagues: the better team loses often enough that a prompt judged on a handful of pronósticos tells you nothing. That is an argument for measuring over a real sample — and for a prompt that outputs a probabilidad rather than a verdict, so you can check calibration instead of just counting victorias.

Structurally, three things carry most of the signal: who is in goal, how each side performs on the power play and penalty kill, and whether recent results partido the underlying shot and expected-goal share. The v1 prompt below is built on the first two; v2 is built on the third, and is designed to find equipos whose record is worse than their play.

01

Confirmed starting goaltender

Save percentage and workload for the goalie who is actually starting, not the team's average. If the starter is unconfirmed, the correct answer is to wait — tell the prompt that explicitly.

02

Special equipos

Power-play and penalty-kill efficiency plus how many penalties each side takes. Special equipos decide a large share of goles in a low-scoring game, and they move totals as much as they move winners.

03

Shot share versus results

Corsi/Fenwick share and expected goles at even strength. A team controlling play but losing games is the classic hockey value spot; a team winning on unsustainable shooting is the classic trap.

04

Low-event games and empty nets

Tight defensive matchups favour the under, but late empty-net goles push totals over. A prompt that reasons about totals without mentioning empty nets is missing a real, recurring effect.

Two versions

Hockey prompts v1 and v2 — and how they differ

The same model, two instruction sets, two different betting personalities. Run both on the same partidos; that comparison is the only thing that settles the argument.

VersionFocusStyleBest for
v1 Confirmed starter and power play Disciplined Moneyline, unders
v2 Underlying play versus results Analítica value Value where results lag play
V1 Golies + special equipos
You are a hockey betting analyst. Game: {home} vs {away}, {league}, {date}. Línea: {cuotas}.
Empezar with the confirmed starting goaltenders and their save percentage and recent workload. If a starter is not confirmed, answer "no bet" and stop.
Then weight power-play and penalty-kill efficiency, penalties drawn and taken, and home ice. Low-event matchups favour the under, but account for empty-net goles late.
Output exactly:
1) Moneyline pronóstico + victoria probabilidad for both sides (sum 100%)
2) Puck-línea lean
3) Más de/Menos de total pronóstico against the posted number
4) Confidence 1-10
5) One-línea reasoning tied to the mercado
Do not use certain language: single-game hockey variance is high.
Refuses to answer without a confirmed starter, which is the correct behaviour in hockey.
V2 Shot metrics (xG / Corsi)
You are an analytics-driven hockey analyst. For {home} vs {away} ({league}, {date}):
Use even-strength shot-attempt share (Corsi/Fenwick), expected goles and finishing over the last 10 games, plus the confirmed goaltenders. Identify whether either team's record is better or worse than its underlying play, and whether the mercado has priced the record or the play.
Output exactly:
1) Ganador + victoria probabilidad for both sides (sum 100%)
2) Best value mercado and the edge against {cuotas}
3) Predicted total goles
4) Confidence 1-10
5) The decisive factor in one línea
Flag unsustainable shooting percentages explicitly. If the starter is unconfirmed, answer "no bet".
Looks for equipos controlling play but losing games — and for records built on unsustainable shooting.

Placeholders in braces are filled automatically when you run a prompt from a partido in the AI Lab. Pasting into your own chat window works too — just replace them by hand.

Inputs and outputs

What to feed the model, and what a usable answer looks like

Feed it this

  • Confirmed starting goaltenders with save percentage and recent workload.
  • Power-play and penalty-kill percentages, plus penalties drawn and taken.
  • Even-strength shot share and expected goles over the last 10 games.
  • Rest, travel and back-to-back flags — including whether the backup is likely.
  • The línea: moneyline, puck línea and the total (usually 5.5) with over/under prices.
  • Lesiones on defence and to top-línea forwards.

Good output has

  • A moneyline victoria probabilidad for each side summing to 100%.
  • A puck-línea lean, stated as a lean rather than a certainty.
  • A total pronóstico against the posted number, with empty-net risk acknowledged.
  • Confidence 1-10 and one decisive factor.
  • A mandatory "no bet" if the starting goaltender is not confirmed.
  • No claim of certainty — hockey variance makes confident language a warning sign.

Where hockey prompts usually go wrong

  • Predicting before goalie confirmation.
  • Reading a victoria streak built on high shooting percentage as strength.
  • Ignoring empty-net goles when picking unders.
  • Judging a prompt on 20 pronósticos in the highest-variance sport on the board.

Cuotas, model contexto and mercado drift for each fixture are on the hockey games with cuotas and AI pronósticos board, so most of the input list above can be copied straight from the partido page.

How to test it

Measure both versions before you trust either

1

Store both versions

Save v1 and v2 as separate prompts in the AI Lab so every run is attributed to a version instead of blurring together.

2

Run them on the same partidos

Pronóstico fixtures from the hockey board and lock both forecasts before start. Same slate, same information, no hindsight.

3

Judge on ROI, not hit-rate

A value prompt taking underdogs will always look worse on hit-rate and can still be the profitable one. Settlement and scoring are automatic once the partido finishes.

The AI Lab starts on the $19 tier with one sport and five stored prompts, which is enough for a full v1-versus-v2 comparison in hockey. Open a gratis trial to run it on today's card, or read the prompt library resumen for the shared structure behind every sport.

Questions

Hockey prompt questions

Why does the hockey prompt insist on a confirmed goalie?

Because the difference between a starter and a backup is worth more than most other factors combined, and lines move sharply when the starter is announced. A prompt that answers anyway will produce a confident number built on the wrong player, which is worse than no answer.

Are unders really the default in low-event games?

They are a bias to test, not a rule to trust. Tight matchups suppress scoring, but empty-net goles and special-team bursts push totals over more often than people expect. Let the prompt state the case and let the AI Lab tell you whether your version of it actually profits.

How large a sample do I need before trusting a hockey prompt?

Larger than you would like. Hockey has the highest single-game variance among the major sports, so a 20-pronóstico sample is close to meaningless. Track it en a season segment and compare ROI against a second version running on the same games.

Ready?

Find out which hockey prompt actually victorias

Empezar the 5-day AI Lab trial without a card. Bring your own AI key, run v1 and v2 on today's hockey card, and let the dashboard settle it on a virtual $10,000 bank.

AI Lab $19/mo after the trial · cancel anytime · Acceso completo $49/mo for all sports and the official 7-AI consensus