HomeRight ArrowOlympics

Olympic Hockey: Which Teams Are Most Banged Up Entering the Tournament?

Olympic Hockey: Which Teams Are Most Banged Up Entering the Tournament? article feature image
5 min read
Credit:

3DN8BW4 Milan, Italy. 09th Feb, 2026. Czech David Pastrnak in action during the training session during the Milano Cortina 2026 Winter Olympic Games, in Milan, Italy, on February 9, 2026. Credit: Michal Kamaryt/CTK Photo/Alamy Live News

Olympic men’s hockey is underway, and not every nation is entering at full strength. Action Network created the Olympic Men’s Hockey Injury Burden Index to quantify roster strain across projected country player pools and pinpoint where the injury load is heaviest at tournament entry.

Built from the latest available injury reporting, this model is a starting-point context tool for evaluating how roster health may shape performance trends as the tournament unfolds.

If you're looking for an actual medal forecast, check out these pages on Most Medal odds and Most Gold Medal odds.

Key Findings

  • Sweden ranks No. 1 in injury burden, with 5 injured players out of 25 and a 10.68 Total Final Injury Severity Weight.

  • Switzerland (No. 2) and Canada (No. 3) follow as the next-most affected teams by total weighted burden.

  • Finland (No. 4) and Czechia (No. 5) round out the top five highest-burden countries.

  • At the opposite end of the spectrum, Denmark, France, Germany, Latvia, and the USA sit in the lowest-burden group in this dataset.

  • This model provides tournament-entry context, not a projection of final standings.

Most Injury-Affected Teams (Top 5)

1) Sweden

5 injured / 25 players, 10.68 Total Final Injury Severity Weight

Sweden leads by a clear margin, carrying the highest cumulative injury burden in the dataset.

2) Switzerland

2 injured / 10 players, 3.59 Total Final Injury Severity Weight

Switzerland ranks second despite a smaller player pool, showing how concentrated injury load can still produce a high total burden.

3) Canada

2 injured / 25 players, 3.29 Total Final Injury Severity Weight

Canada enters with a meaningful weighted injury load, placing third overall.

4) Finland

2 injured / 24 players, 2.98 Total Final Injury Severity Weight

Finland remains close to Canada in total burden and ranks fourth.

5) Czechia

1 injured / 13 players, 1.57 Total Final Injury Severity Weight

Czechia completes the top five on total weighted injury burden.

Top Individual Injury Burden Scores

Individual scores below are model index values (not percentages). They represent each player’s relative injury-related roster impact within the study window, where higher scores indicate greater projected strain.

  • Leo Carlsson (SWE) — 2.44

  • Gabriel Landeskog (SWE) — 2.22

  • Jonas Brodin (SWE) — 2.06

  • William Nylander (SWE) — 1.87

  • Pius Suter (SUI) — 1.87

Note: These values are based on the analysis snapshot and do not necessarily reflect real-time game-day availability. Some players listed may have returned, been activated, or had status changes after the data window.

The Other End of the Spectrum

At the opposite end of the spectrum, Denmark, France, Germany, Latvia, and the USA form the lowest-burden tier in this snapshot — teams entering on the safer side of roster health strain.

Why This Matters as the Tournament Progresses

Injury burden is more than a list of unavailable players. It can influence:

  • line chemistry and role continuity,

  • minute distribution across top units,

  • special-teams consistency,

  • goaltending workload and matchup flexibility.

By weighting player importance, injury severity, and injury timeline, this index offers stronger context than raw injury counts alone.

For fans who want extra sweat during Olympic hockey, you can compare current sportsbook offers, including the BetMGM Bonus Code and Fanatics Sportsbook Promo Code, before puck drop.

Methodology — Olympic Men’s Hockey Injury Burden Index

To build the index, we used projected Olympic men’s player pools for each country and matched players to the latest available injury reporting.

Player data fields included

  • Team

  • Player name

  • Position

  • Country

  • Injury timeline (Day-to-Day, Week-to-Week, IR)

  • Injury status (OUT, IR, LTIR)

  • Injury type/reason (upper body, lower body, etc.)

  • Estimated return date (when available)

Blank injury fields were treated as no reported injury in the analysis window.

How each injured player was scored

Each injured player’s score is based on three multipliers:

1) Player Importance (role impact)

  • Tier 1 (1.5): Top-line forwards, top-pair defensemen, starting goalies

  • Tier 2 (1.0): Middle-six forwards, top-4 defensemen, backup goalies

  • Tier 3 (0.6): Depth/fringe players

2) Injury Severity

  • Surgery: 1.5

  • Concussion/Head: 1.4

  • Lower Body: 1.2

  • Upper Body: 1.1

  • Undisclosed: 1.0

  • Illness: 0.6

3) Recency Proxy (timeline-based)

  • Day-to-Day: 1.3

  • Week-to-Week: 1.1

  • No injury: 0

Final calculation

For each injured player:

Player Injury Score = Player Importance × Injury Severity × Recency Proxy

For each country:

Total Final Injury Severity Weight = Sum of all player injury scores

Countries are then ranked from highest total burden to lowest.

Sources

  • PuckPedia (primary injury source)

  • ESPN (cross-checking and return-date verification where available)

  • NHL.com / team reports (validation where available)

Editor’s Note

Player availability can shift during the tournament due to medical reassessment, return-to-play decisions, and late roster changes. This model reflects the latest available reporting at collection time and should be interpreted as a tournament-entry baseline, not a continuously updating live injury feed.

Author Profile
About the Author

Gautham is a data expert and Senior Digital PR Specialist at The Action Network, where he leads the development of data-driven stories across sports, travel, lifestyle, and entertainment. His work blends in-depth research with cultural relevance — always aiming to spark conversation and inform readers with compelling, data-backed narratives. Gautham enjoys exploring new methods of gathering authentic data to drive meaningful media stories. When he’s not diving into stats or headlines, you’ll probably find him deep in a Netflix binge — ideally with some spicy snacks in hand and a new docuseries queued up.

This site contains commercial content. We may be compensated for the links provided on this page. The content on this page is for informational purposes only. Action Network makes no representation or warranty as to the accuracy of the information given or the outcome of any game or event.