Tag: Hockey Analytics

IHM Academy · Performance Metrics Masterclass - Lesson 5

IHM Academy · Performance Metrics Masterclass – Lesson 6

Performance Metrics Masterclass – Lesson 6: Possession Chains & Puck Retrieval Metrics

Modern hockey is not just about who shoots more, but about who owns the puck longer in dangerous sequences. Possession is built in chains: recoveries, passes, attacks, rebounds, and pressure resets. Every time your team wins a puck and turns it into a sustained sequence, you are building a possession chain.

Puck retrieval metrics show who actually wins the right to attack again – after dump-ins, rebounds, blocked shots, broken plays, and loose pucks on the wall. Elite programs track these numbers shift by shift, player by player.

You don’t just want shots. You want repeated, connected possessions that suffocate the opponent.

🎯 Primary Objectives

  • Measure how often your team turns loose pucks into new possessions.
  • Identify players who extend offensive pressure through retrievals.
  • Understand which lines create multi-chance sequences, not one-and-done attacks.
  • Link retrieval metrics to xG chains, zone time, and fatigue on the opponent.

🧠 Key Concepts

1. Possession Chains

A possession chain is the full sequence from winning the puck to losing it again:

  • Recovery → pass → entry or cycle → shot → rebound / retrieval → second attack.

Instead of looking at a single shot, we look at the entire sequence and ask:

  • How many events (passes, shots, retrievals) did we create in this chain?
  • How much xG was generated across the whole sequence?
  • How long did we keep the puck before turning it over?

Teams with strong possession chains don’t just “take shots” – they live in the offensive zone.

2. Puck Retrieval Metrics

Retrievals are the glue that connect one action to the next. Key metrics:

  • Offensive Zone Retrieval % – percentage of dump-ins, rebounds and loose pucks your team recovers in the O-zone.
  • Defensive Zone Retrieval % – how often you win races to loose pucks in your own end and start a new exit.
  • Rebound Retrieval % – share of rebounds your forwards win after your first shot.
  • Wall Battle Win Rate – how often your players come out with the puck after contact on the boards.

These numbers show who keeps plays alive when the puck is up for grabs.

3. Chain Length & Quality

Not all chains are equal. We care about:

  • Average chain length (in events or seconds of puck possession).
  • xG per chain – how much expected offense each chain produces.
  • Multi-shot chain rate – percentage of chains that produce 2+ shots.

Longer, higher-quality chains wear down defenders, draw penalties, and create momentum swings.

🧩 Role Impact

Defensemen

  • Clean first touches after retrievals: off the glass is a last resort, not a habit.
  • Smart keep-ins at the blue line extend chains and pin the opponent.
  • Good gap and stick position in the neutral zone create easy retrievals for teammates.

Centers

  • Primary support on loose pucks in all three zones.
  • Turn retrievals into immediate middle-lane plays instead of safe dumps.
  • Drive the “second wave” after initial shots – arrive in time to win rebounds.

Wingers

  • First on the forecheck; first on the wall on dump-ins.
  • Win races and seal the inside lane during battles.
  • Turn 50/50 pucks into offensive starts, not defensive scrambles.

🔧 Core Metrics & What They Mean

  • O-Zone Retrieval % – ability to keep the attack alive after dump-ins and shots.
  • Rebound Retrieval % – pressure on the goalie and defense after the first shot.
  • Chain xG – how dangerous your average possession sequence is.
  • Multi-shot Chain Rate – indicator of sustained pressure, not one-and-done hockey.
  • Wall Battle Win Rate – physical and technical execution under pressure.

💬 Coach Mark Lehtonen says

“Great teams don’t play one-shot hockey.
They build waves of pressure from every loose puck.”

“If you can’t retrieve, you can’t attack twice.
The second chance is where playoff games are won.”

❓ Q&A – Possession & Retrieval

Q1: Why are puck retrieval metrics more informative than just shot counts?

A: Shot counts only show how many attempts you had, not how you got them. Retrieval metrics reveal whether your team can extend attacks, win second chances and live in the offensive zone. A team with fewer shots but elite retrieval and chain xG can be more dangerous than a volume team that plays one-and-done hockey.

Q2: Which players usually lead in retrieval metrics?

A: Often it’s not the top scorers but the “engine” players – strong-skating wingers, smart centers and mobile defensemen who read loose pucks early. They may not finish every play, but they give your scorers extra chances by extending chains.

Q3: How can a coach improve O-zone retrieval %?

A: Focus on routes and timing on the forecheck, not just effort. F1 drives the puck, F2 reads the wall, F3 protects the middle. Teach players to seal the inside, keep sticks in lanes and react as a unit when the puck is chipped or blocked. The earlier the read, the easier the win.

Q4: How do these metrics help with scouting and player evaluation?

A: Retrieval and possession-chain data identify players who drive winning hockey even without big point totals. A winger who consistently wins pucks back and extends sequences can be more valuable than a scorer who disappears when the puck is contested.

❌ Common Mistakes

MistakeConsequence
Watching the shot instead of reading the reboundOpponents win easy clears and kill momentum
Flying past the play on the forecheckNo inside position; 50/50 pucks become 30/70
Defensemen defaulting to rims under light pressureLost possession chains and uncontrolled exits
Forwards circling high instead of stopping on pucksLost battles on the wall; no second chances
No tracking of retrieval metricsCoaches misjudge effort vs. actual possession impact

🧪 Micro-Drills

  • Rebound Hunt Drill – shot from the point, two forwards vs. two defenders battle for every rebound; track retrieval %, not just goals.
  • Dump-In Retrieval Race – structured dump with F1/F2/F3 routes; scoring only counts if the puck is retrieved and a second shot is created.
  • Wall Battle into Cycle – 1v1 or 2v2 on the boards; winner must make a play off the wall to extend the chain, not just clear.

🧱 Summary

Possession chains and puck retrieval metrics explain why some teams feel relentless. They win loose pucks, extend sequences and attack in waves. When you track and train these details, you move from counting shots to controlling the game.

You don’t just want the first chance. You want the next one, and the one after that.


Performance Metrics Master Lessons | IHM Academy

Performance Metrics Master Lessons | IHM Academy

A pro-level module breaking down modern NHL analytics: shot-quality models, high-danger scoring, Ice Tilt momentum, speed tracking, projected goals, possession metrics and elite player evaluation. Lessons crafted in the signature coaching style of Mark Lehtonen for the IHM Academy.

IHM Academy · Performance Metrics - How Coach Mark Lehtonen Turns Performance Metrics Into Structured Match Verdicts

IHM Academy · Performance Metrics - How Coach Mark Lehtonen Turns Performance Metrics Into Structured Match Verdicts


  • IHM Academy - Performance Metrics Masterclass – Lesson 30

    IHM Academy – Performance Metrics Masterclass – Lesson 30

    Lesson 30 – Offensive Layering Index (OLI) & Secondary Threat Activation Date: 13 January Introduction Modern offensive hockey is no longer built around a single primary attack option. Elite teams consistently score because they operate in layers. The Offensive Layering Index (OLI) is designed to measure how effectively a team creates, maintains, and activates multiple…

  • IHM Academy – Performance Metrics Masterclass – Lesson 29

    IHM Academy – Performance Metrics Masterclass – Lesson 29

    Lesson 29 – Zone Entry Denial Efficiency (ZEDE) & Blue Line Standup Discipline Date: 13 January Lesson Focus: This lesson explains how teams suppress offense before it starts by denying controlled zone entries. We define Zone Entry Denial Efficiency (ZEDE), break down what it measures, how it appears on the ice, and how Coach Mark…

  • IHM Academy - Performance Metrics Masterclass – Lesson 28

    IHM Academy – Performance Metrics Masterclass – Lesson 28

    Lesson 28 – Transition Recovery Rate (TRR) & Structural Reset Speed Lesson Focus: This lesson explains how quickly and consistently a team restores its defensive and transitional structure after puck loss. We break down why recovery speed, spacing discipline, and first-read decisions define whether transitions become threats or are neutralized early. Extended Core Definition Transition…

  • IHM Academy - Performance Metrics Masterclass – Lesson 27

    IHM Academy – Performance Metrics Masterclass – Lesson 27

    Lesson 27 – Matchup Stress Index (MSI) & Exploiting Line Mismatches Lesson Focus: This lesson explains how coaching staffs and elite teams create controlled pressure by targeting unfavorable matchups, forcing specific lines, pairs, or individuals into sustained stress. We break down what MSI measures, how it shows up on the ice, and how Coach Mark…

  • IHM Academy - Performance Metrics Masterclass – Lesson 26

    IHM Academy – Performance Metrics Masterclass – Lesson 26

    Lesson 26 – Net-Front Control Differential (NFCD) & Slot Chaos Generation Extended Core Definition Net-Front Control Differential (NFCD) measures which team consistently controls the low-slot and crease area during live play. It evaluates positioning, stick dominance, body leverage, timing of box-outs, and the ability to either create or eliminate chaos directly in front of the…

  • IHM Academy - Performance Metrics Masterclass - Lesson 25

    IHM Academy – Performance Metrics Masterclass – Lesson 25

    Lesson 25 – Late-Shift Structural Collapse Probability (LSCP) & Fatigue Exposure Index Extended Core Definition Late-Shift Structural Collapse Probability (LSCP) measures the likelihood that a team’s defensive or transitional structure breaks down due to accumulated fatigue within extended or poorly managed shifts. Unlike basic time-on-ice metrics, LSCP focuses on structural degradation rather than physical exhaustion…

  • IHM Academy - Performance Metrics Masterclass – Lesson 24

    IHM Academy – Performance Metrics Masterclass – Lesson 24

    Lesson 24 – Reversal Suppression Index (RSI) & Forecheck Pressure Collapse Probability Extended Core Definition Reversal Suppression Index (RSI) measures how effectively a team prevents opponents from executing clean puck reversals during retrieval under pressure. A reversal is one of the safest and most effective escape mechanisms in modern hockey. RSI evaluates how quickly and…

  • IHM Academy - Performance Metrics Masterclass – Lesson 23

    IHM Academy – Performance Metrics Masterclass – Lesson 23

    Lesson 23 – Cross-Lane Activation Rate (CLAR) & East-West Threat Probability Extended Core Definition Cross-Lane Activation Rate (CLAR) measures how frequently a team triggers east-west puck movement inside the offensive zone with synchronized support layers. It evaluates timing, spacing, and the ability to stretch defensive shape horizontally, forcing goaltenders into lateral adjustments. High CLAR means…

  • IHM Academy - Performance Metrics Masterclass – Lesson 22

    IHM Academy – Performance Metrics Masterclass – Lesson 22

    Lesson 22 – Zone Exit Efficiency (ZEE) & Breakout Stability Under Pressure Extended Core Definition Zone Exit Efficiency (ZEE) measures how reliably a team moves the puck out of its defensive zone with control when under forecheck pressure. It is not only about leaving the zone; it is about how the puck leaves the zone:…

  • IHM Academy · Performance Metrics Masterclass - Lesson 21

    IHM Academy · Performance Metrics Masterclass – Lesson 21

    Lesson 21 – Bench Adaptation Index (BAI) & In-Game System Switching Extended Core Definition The Bench Adaptation Index (BAI) measures how effectively and rapidly a coaching staff modifies tactical systems when the original game plan fails. It reflects strategic intelligence, emotional control and structural flexibility of the bench. Hockey games are rarely won by original…

  • IHM Academy · Performance Metrics Masterclass - Lesson 20

    IHM Academy · Performance Metrics Masterclass – Lesson 20

    Lesson 20 – Pace Disruption Index (PDI) & Tempo Control Extended Core Definition The Pace Disruption Index (PDI) measures how effectively a team destroys the opponent’s preferred rhythm and forces the game into an uncomfortable tempo. It reflects the ability to reset flow through neutral zone pressure, stoppage creation, forecheck timing and line deployment. Tempo…

  • IHM Academy · Performance Metrics Masterclass – Lesson 19

    IHM Academy · Performance Metrics Masterclass – Lesson 19

    Lesson 19 – Defensive Compactness Ratio (DCR) & Slot Sealing Extended Core Definition DCR measures how tightly a defensive unit compresses space between the dots under sustained pressure. It reflects rotational discipline, net-front layering, and denial of inner-lane passes. Game Impact Map Tactical Layer Coaching Staff Layer DCR is drilled via net-front rotation systems and…

  • IHM Academy · Performance Metrics Masterclass - Lesson 18

    IHM Academy · Performance Metrics Masterclass – Lesson 18

    Lesson 18 – Transition Speed Index (TSI) & Counter-Attack Structure Extended Core Definition The Transition Speed Index (TSI) measures how quickly and efficiently a team converts a defensive recovery into an organized attacking threat. It does not describe raw skating speed. It measures structural decision velocity under pressure: retrieval, first pass, support, lane activation, and…

  • IHM Academy · Performance Metrics Masterclass – Lesson 17

    IHM Academy · Performance Metrics Masterclass – Lesson 17

    Lesson 17 – Shift Load & Fatigue Control The Hidden Physics of Winning Hockey Most fans watch the puck. Coaches watch oxygen debt. Fatigue management is the invisible layer of elite hockey control. 1. Average Shift Length (ASL) 2. High-Intensity Burst Count (HIBC) After the 4th full-speed burst, muscle efficiency drops by 22-28%. 3. Recovery…

  • IHM Academy · Performance Metrics Masterclass – Lesson 16

    IHM Academy · Performance Metrics Masterclass – Lesson 16

    Lesson 16 – Slot Dominance Index Why Games Are Won in Five Square Meters The slot is not a location. It is a battlefield. Over 70% of elite-level goals originate from the slot area. Control of this zone decides offensive lethality and defensive survival. 1. Slot Entry Frequency (SEF) 2. Slot Shot Conversion (SSC) Measures…


IHM Academy · Performance Metrics Masterclass - Lesson 5

IHM Academy · Performance Metrics Masterclass - Lesson 5


Performance Metrics Masterclass - Lesson 4: Zone Entries, Exits & Transition Speed

IHM Academy · Performance Metrics Masterclass - Lesson 4


IHM Academy · Performance Metrics Masterclass - Lesson 3

Performance Metrics Masterclass - Lesson 3 : Zone Entry Efficiency & Controlled Breakout Success


IHM Academy · Performance Metrics Masterclass - Lesson 2

IHM Academy · Performance Metrics Masterclass - Lesson 2


IHM Academy - Performance Metrics Masterclass • Lesson 1

IHM Academy - Performance Metrics Masterclass • Lesson 1


IHM Performance Metrics Report: Why the Ducks and Utah Mammoth Suddenly Look Like Analytics Superpowers

IHM Performance Metrics Report: Why the Ducks and Utah Mammoth Suddenly Look Like Analytics Superpowers

Date: November 8, 2025 | Author: IHM News Analytics


Why the Ducks and Utah Mammoth suddenly look like analytics superpowers

A deep breakdown of two surprising engines of the 2025-26 NHL season

The first month of the season has delivered two unexpected machines of chaos: Anaheim Ducks, suddenly the brightest offensive show in the West, and Utah Mammoth, who instantly found an elite play-driver in Nick Schmaltz.

But behind the flurries of goals, comebacks and nightly highlights lies a far more revealing truth. This is an analytics-based evolution built on:

  • high-danger efficiency
  • elite transitional play
  • explosive speed clusters
  • possession metrics that indicate sustainability

IHM EDGE broke down both teams under the microscope – here’s what we found.


🦆 SECTION I – Anaheim Ducks: Inside the engine of a sudden powerhouse

1. High-danger ecosystem

Anaheim aren’t just scoring a lot – they are scoring the right way. The Ducks have already generated 28 high-danger goals, more than most of their division combined. Chris Kreider and Cutter Gauthier are currently among the top high-danger producers in the NHL.

Carlsson, Sennecke and Terry form a constant pressure triangle built on:

  • fast zone entries
  • short-link passing
  • finishes from the kill zone (2-4 meters)

This is not randomness - it’s a system. And it works.

2. Cutter Gauthier: The EDGE monster exceeding every projection

Gauthier is one of the most “unstoppable” analytical profiles in the league right now. His EDGE metrics look engineered:

  • average shot speed – 97th percentile
  • speed bursts – 97th percentile
  • hardest shot – 93rd percentile
  • mid-range goals – leads NHL
  • Goals Above Projected – +5.91 (1st in NHL)

He scores shots that models classify as low-probability. When a player beats the model itself – we’re dealing with elite talent.

3. Territorial control – Ice Tilt as a predictor of future success

Anaheim currently rank No. 1 in the NHL in first-period Ice Tilt advantage. This means they take control of rink territory and game tempo early.

Carlsson (+63) and Gauthier (+60) dominate 5v5 shot differential like established superstars – at age 20 and 21.

4. Goaltending stability

Dostal has quietly become a stabilizer:

  • elite mid-range SV%
  • 7-3-1 record
  • 5v5 save% above league average

For a team that has lacked a foundation in net for years, this is transformative.


🦬 SECTION II – Utah Mammoth: Schmaltz’s reinvention and the rise of a new top-six

Utah play fast, aggressive and structured – but their entire offensive shape is glued together by one player: Nick Schmaltz, the most underrated starter of the season.

1. Shot profile: dangerous from every lane

Schmaltz is one of the rare forwards producing elite volume from all three shot tiers:

  • high-danger – 96th percentile
  • mid-range – 95th percentile
  • long-range – 92nd percentile

42 shots in 12 games – the best pace of his entire career. Utah are top-two in shot differential, which confirms structure, not luck.

2. High-danger finishing touch

Five high-danger goals – fourth in the NHL. Two goals on deflections – placing him in rare company with Crosby and Miles Wood.

Schmaltz has long been a high-danger creator, but now he’s finishing at a career-high level.

3. Speed metrics: Utah = a missile

Schmaltz:

  • 20+ mph bursts – 84th percentile
  • total distance – 93rd percentile

Utah as a whole:

  • Cooley – second-fastest skater in the NHL
  • team – 4th in total speed bursts
  • shots allowed per game – 2nd fewest in NHL

This is a team that skates fast without losing structural discipline.

4. Chemistry: Keller – Schmaltz – Hayton

This long-developing trio finally has the personnel to play at full throttle. They drive Utah’s PP1 and tempo game, making possession swings almost automatic.


🚀 SECTION III – What Ducks and Mammoth have in common

Both teams:

  • dominate high-danger creation
  • apply speed as a core identity, not just a tool
  • are led by young stars who already think like veterans
  • show sustainable possession trends
  • benefit from EDGE-positive profiles across the top six
  • look structurally built, not statistically lucky

🎯 IHM VERDICT

Ducks:

Legitimate contenders for a top-2 finish in the Pacific Division. Their metrics match conference finalists – not pretenders.

Utah Mammoth:

Massively underrated playoff candidates. Their top-six is good enough to drag them into contention all season.


Questions & Answers | IHM Performance Metrics

Why are the Anaheim Ducks performing so well this season?

The Ducks rank among the NHL’s best teams in high-danger scoring, first-period territorial control (Ice Tilt) and 5-on-5 possession metrics. Their young core, led by Carlsson and Gauthier, drives elite shot volume and transition pace.

What makes Cutter Gauthier’s analytics profile elite?

Gauthier ranks in the 93rd-99th percentiles in shot power, speed bursts, midrange scoring and goals above expected. He consistently beats projected goal models.

Why is Nick Schmaltz breaking out for the Utah Mammoth?

Schmaltz produces high-volume shots from every scoring tier and ranks top-five in high-danger goals this season. His skating metrics and chemistry with Keller elevate Utah’s entire top six.

Are the Ducks and Mammoth legitimate playoff contenders?

Both teams show sustainable shot-differential and chance-generation metrics, suggesting long-term competitiveness rather than early-season variance.