Edgehalla
Mason Lohrei headshotBoston Bruins logo

Boston Bruins

Mason Lohrei

#6Defenseman6'5"223 lb

+20.7 in 3 days
2026-27 regular season
2
GP
0
G
2
A
2
P
0
SOG
20:37
TOI/GP

D · BOS · NHL id 8482511

Mason Lohrei has played 2 games for the Boston Bruins in 2026-27, scoring 0 goals and 2 assists (2 points) on 0 shots while averaging 20:37 a night (18:19 at even strength, 1:28 on the power play and 0:23 shorthanded). At 5v5 he has skated 86% of his 5v5 minutes with Jonathan Aspirot and 33% with Fraser Minten over the last 2 games, and the Bruins have controlled 54% of shot attempts with Lohrei on the ice (1-0 in goals, 50% offensive-zone starts). In the Bruins' most recent game against WPG he was on D2 with Jonathan Aspirot and on PP1; moved up to D1 (from D2) in the last game.

Right now

From the Oct 2 game vs WPG, detected from shift data

Moved up to D1 (from D2) in the last gameDemoted to PP2 (from PP1) in the last gameLast 2: D2/PP1 · D1/PP2
Ascension68Risinglast 2 games vs previous 20 (incl. last season), through Oct 2, 2026
  • +3:04 TOI a game
  • 2 P in last 2 (0.15/GP before)
  • 42% of team PP time (was 27%)

Deployment timeline

2026-27 · per-game ice time by strength, with line and power-play unit changes

Usage: 2 games, 20:09 average time on ice, PP1 in 1 games, 1 line changes.

PPLine21▲0m8m17mSep 29Oct 2
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
2 games shown, 20:09 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

2025-26 percentiles among skaters at his position

Source: NHL EDGE

Only 2 GP in 2026-27; showing 2025-26 NHL EDGE data.

Top speed66th6622.1 mph
Bursts 20+ mph54th5526
Hardest shot32nd3387.3 mph
Offensive-zone time64th6442.7%
Distance skated60th60177.0 mi
High-danger SOG48th493
Percentile among position peers│ tick = 3-season weighted

Season-level NHL EDGE puck and player tracking, refreshed nightly. The percentile is the league rank among skaters this season; the label at the right is the raw value.

Shot map

2026-27 · 6 attempts, 0 on goal, 0 goals

Shot map, OPP at BOS: 6 attempts, 0 on goal, 0 goals, 0.11 expected goals; best chance Mason Lohrei at 0.08 xG.

  • Even strength
  • Power play
  • Penalty kill
  • Goal
  • Shot on goal
  • Missed
  • Blocked
Every attempt (goals, shots, misses and blocks), attacking toward the right (or the top on phones).

Luck

2025-26 · 73 GP · 26 points vs 24.1 expected

Luck Meter →
Hold

Last 20 games: -33. Positive means running hot (sell), negative running cold (buy).

9.7%
104.1
44.8%
G vs xG
7 / 5.7
  • • Role rose over the last 10 games (5 promotion events): some of the heat may be real.
Goals against expected goals
02468+1.3goals above expected0.5σ10/84/14
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

2025-26 regular season. Rank is among all qualified players; the bar is his percentile among defencemen. Each stat links to its explainer.

  • 2026-27 so far: 2 GP, 0 G, 2 A, 0 PPP, 0 SOG.

Fantasy box score

  • Games played73
  • Goals7376th
  • Assists19283rd
  • Points26332nd
  • Power-play points5261st
  • Shorthanded points0227th
  • Shots on goal72430th
  • Hits30539th
  • Blocked shots93105th
  • Plus/minus+1756th
  • Penalty minutes20442nd
  • Faceoffs won0451st

Possession & shot quality (5-on-5 on-ice)

Transition, turnovers & faceoffs

Usage

Special teams & discipline

Luck & trend

NHL EDGE tracking

Unranked rows are below the sample minimum (20 GP, 200 five-on-five minutes, 100 draws or 10 goalie games).

Beyond the box score

2025-26 regular season · 71 of 73 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.091
Season net
−1.64xG

5-on-5. Each takeaway is credited, and each giveaway charged, at the league xG value of the zone.

MethodLeaders
Per 60
0.50
Attempts
9
0.002

5-on-5 shots within 10 seconds of winning the puck outside the offensive zone.

MethodLeaders
Season
−1.02G
Per 60
−0.049
Drawn / taken
5 / 10minors

MethodLeaders
48.9%
43.6%
48.5%
Transition CF/60
4.8
Turnovers won/60
22.0
Turnovers lost/60
24.3

5-on-5 while he is on the ice.

MethodLeaders
  • More of his shots than the league
  • Fewer
72 shots on goal, 7 goals, all situations
AreaHis shareLeagueG
Low Slot4%23%1
L Point24%5%2
R Circle4%12%1
L Circle21%13%0
Outside L8%4%2
R Net Side0%3%0
Crease0%3%0

Role changes

Notable promotions, demotions and ice-time swings from Line Watch

All alerts →

How the goals happened

17 goals since 2023-24 with NHL EDGE tracking: press Replay to watch the tracking animation

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Mar 10, 2026 vs LAKForecheck turnover—2*66.0—
Jan 17, 2026 @ CHIPoint shot—264.3—
Jan 17, 2026 @ CHICycle—2*66.7—
Jan 8, 2026 vs CGYForecheck turnover—1*68.0—
Jan 6, 2026 @ SEACycle—044.0—
Nov 15, 2025 @ MTLForecheck turnover—166.9one-timer
Oct 23, 2025 vs ANAForecheck turnover—059.6—
Mar 11, 2025 vs FLAForecheck turnover—074.0—
Mar 1, 2025 @ PITForecheck turnover—1*68.1—
Jan 28, 2025 @ BUFForecheck turnover—136.2—
Jan 9, 2025 @ TBLCycle—2*58.7—
Oct 14, 2024 vs FLAForecheck turnover—168.1—
May 6, 2024 @ FLADeflection—030.4deflection, rebound
Feb 29, 2024 vs VGKCycle—4*70.6one-timer
Dec 27, 2023 @ BUFReboundcarry048.13-on-2, rebound
Dec 15, 2023 @ NYICycle—05.8—
Nov 6, 2023 @ DALForecheck turnover—072.4—

* includes a royal-road (cross-slot) pass. Derived from NHL EDGE puck and player tracking.

Linemates

2026-27 · 5v5 time together and how each pairing performs with and without Lohrei

TeammatePosGPShareCF% togetherGF% togetherCF% Lohrei apartCF% mate apart
Jonathan AspirotD230:5286%45.6%100% (1-0)91.7% 5:13100.0% 1:29
Fraser MintenC211:4733%57.9%100% (1-0)52.0% 24:1862.5% 15:42
James HagensC211:3432%37.5%— (0-0)58.5% 24:3165.4% 15:17
JJ PeterkaRW211:2832%61.5%— (0-0)48.8% 24:3750.0% 19:17
David PastrnakRW211:0030%65.4%— (0-0)46.5% 25:0559.0% 19:51
Marat KhusnutdinovC29:5628%46.7%100% (1-0)55.6% 26:0967.9% 15:20
Elias LindholmC29:0125%61.9%— (0-0)50.0% 27:0454.8% 18:49
Sean KuralyC28:1623%33.3%— (0-0)57.9% 27:4954.8% 16:01
Pavel ZachaC27:3121%52.9%— (0-0)53.8% 28:3452.8% 19:36
Morgan GeekieC27:2220%55.6%— (0-0)52.9% 28:4346.7% 22:36
Mark KastelicC27:1620%36.4%100% (1-0)56.9% 28:4942.9% 13:15
Tanner JeannotLW27:1020%36.4%— (0-0)56.9% 28:5550.0% 15:31
Casey MittelstadtC26:1817%66.7%— (0-0)50.0% 29:4748.8% 21:44
Nikita ZadorovD11:425%75.0%— (0-0)55.2% 16:5558.1% 15:34

Linemate and opposition quality

2025-26 · 5v5 · 1,082 min on ice · ranked against 270 defencemen · last season, until this season has enough games to rank

49.1%

41st percentile · higher = stronger linemates

49.9%

44th percentile · higher = tougher opponents

Middle-of-the-lineup deployment: average linemates and opposition.

Each value is the ice-time-weighted average season xGF% of the skaters Lohrei shared the 5v5 ice with. Small samples lean on each skater's previous season (or 50% for newcomers). Most skaters land between about 45% and 55% for QoT and 49% and 51% for QoC, so the percentile is the easier read.

Game log

2 games in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 2@ WPGW 4-3011+10000—21:5319:091:48—
Sep 29vs NYRW 3-0011+10000—19:2117:281:070:46

Season splits by strength

2026-27 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations241:1420:37463556.8%57.9%201520100%1.91.557%
Even strength236:3718:19383353.5%55.1%161410100%1.51.150%
5v5236:0518:03373253.6%56.3%161410100%1.50.950%
Power play22:551:285183.3%75.0%1100—0.20.0100%
Penalty kill10:460:4600——0000—0.00.0—
5v422:551:285183.3%75.0%1100—0.20.0100%

Career by season

Seasons in Edgehalla's data (2025-26 is being backfilled; earlier seasons follow)

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27BOS2022+200—0020:37
2025-26PlayoffsBOS3000-400—3514:14
2025-26BOS7371926+1720729.7%309316:54
2024-25BOS7752833-4316925.4%2510319:32
2023-24PlayoffsBOS11134010147.1%121717:12
2023-24BOS414913-218439.3%326316:57

Mason Lohrei news

Headlines via LineupExperts. Links open the original publisher.

On-ice and deployment numbers are derived by Edgehalla from NHL play-by-play and shift data. Tracking percentiles are from NHL EDGE. Data updates after every game.