Edgehalla
Connor Clifton headshotBoston Bruins logo

Boston Bruins

Connor Clifton

22.7

#75Defenseman6'0"198 lb

+6.7 in 3 days
2026-27 regular season
2
GP
0
G
0
A
0
P
4
SOG
0.0% SH
20:59
TOI/GP

D · BOS · NHL id 8477365

Connor Clifton has played 2 games for the Boston Bruins in 2026-27, scoring 0 goals and 0 assists (0 points) on 4 shots while averaging 20:59 a night (19:09 at even strength, 0:04 on the power play and 1:30 shorthanded). At 5v5 he has skated 91% of his 5v5 minutes with Nikita Zadorov and 30% with Sean Kuraly over the last 2 games, and the Bruins have controlled 57% of shot attempts with Clifton on the ice (1-2 in goals, 60% offensive-zone starts). In the Bruins' most recent game against WPG he was on D3 with Nikita Zadorov and off the power play; dropped to D3 (from D1) in the last game.

Right now

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

Power play
No PP unit
Penalty kill
PK2D
Nikita Zadorov
Dropped to D3 (from D1) in the last gameLast 2: D1 · D3
Ascension63Risinglast 2 games vs previous 20 (incl. last season), through Oct 2, 2026
  • +4:49 5v5 TOI
  • 26% of 5v5 TOI with Zacha (was 0%)
  • Moved from D3 to D1

Deployment timeline

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

Usage: 2 games, 20:43 average time on ice, PP1 in 0 games, 1 line changes.

PPLine13▼0m8m17m25mSep 29Oct 2
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
2 games shown, 20:43 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 speed86th8722.7 mph
Bursts 20+ mph54th5526
Hardest shot42nd4289.0 mph
Offensive-zone time7th838.7%
Distance skated44th44117.1 mi
High-danger SOG29th301
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 · 10 attempts, 4 on goal, 0 goals

Shot map, OPP at BOS: 10 attempts, 4 on goal, 0 goals, 0.23 expected goals; best chance Connor Clifton at 0.09 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 · 50 GP · 6 points vs 11.3 expected

Luck Meter →
Hold

Last 20 games: -45. Positive means running hot (sell), negative running cold (buy).

5.7%
101.5
18.2%
G vs xG
2 / 1.8
  • • Role rose over the last 10 games (TOI up 1:42 a game, 5 promotion events): some of the heat may be real.
Goals against expected goals
0123+0.2goals above expected0.1σ10/144/14
  • 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, 0 A, 0 PPP, 4 SOG.

Fantasy box score

  • Games played50
  • Goals2578th
  • Assists4620th
  • Points6639th
  • Power-play points0437th
  • Shorthanded points0227th
  • Shots on goal35616th
  • Hits18036th
  • Blocked shots84130th
  • Plus/minus+5194th
  • Penalty minutes5397th
  • 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 · 47 of 50 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.032
Season net
−0.39xG

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

MethodLeaders
Per 60
0.33
Attempts
4
0.010

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

MethodLeaders
Season
−3.16G
Per 60
−0.226
Drawn / taken
11 / 26.5minors

MethodLeaders
54.4%
56.3%
54.5%
Transition CF/60
4.5
Turnovers won/60
22.4
Turnovers lost/60
21.0

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

MethodLeaders
  • More of his shots than the league
  • Fewer
35 shots on goal, 2 goals, all situations
AreaHis shareLeagueG
R Point34%6%0
Low Slot0%23%0
L Circle0%13%0
Outside R14%4%0
Center Point14%9%0
Outside L0%4%0
High Slot3%7%0

Role changes

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

All alerts →

How the goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Feb 26, 2026 vs NJDForecheck turnover—3*70.0—
Jan 17, 2026 vs CBJReboundcarry057.14-on-3, rebound
Apr 13, 2025 @ TBLDump and chasedump017.72-on-1
Mar 27, 2024 vs OTTOdd-man rushcarry133.64-on-3
Mar 24, 2024 @ CGYDeflectioncarry029.04-on-0, deflection
Mar 12, 2024 vs DETOdd-man rushcarry170.03-on-2, one-timer
Feb 23, 2024 @ CBJPoint shot—3*42.5—

* 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 Clifton

TeammatePosGPShareCF% togetherGF% togetherCF% Clifton apartCF% mate apart
Nikita ZadorovD234:4591%55.9%33% (1-2)66.7% 3:3271.4% 3:23
Sean KuralyC211:3930%53.8%— (0-0)59.0% 26:3841.2% 12:38
Casey MittelstadtC211:3630%61.5%— (0-0)55.8% 26:4151.2% 16:26
Morgan GeekieC211:2630%58.3%— (0-0)56.6% 26:5147.1% 18:32
Tanner JeannotLW211:1429%54.2%0% (0-1)58.5% 27:0335.3% 11:27
Pavel ZachaC29:5526%75.0%— (0-0)54.4% 28:2248.9% 17:12
David PastrnakRW29:0924%40.0%0% (0-2)62.0% 29:0868.0% 21:42
Mark KastelicC28:5923%47.6%50% (1-1)61.4% 29:1833.3% 11:32
Elias LindholmC28:2222%43.8%0% (0-1)61.2% 29:5561.7% 19:28
Fraser MintenC28:0821%71.4%100% (1-0)52.9% 30:0955.2% 19:21
JJ PeterkaRW28:0121%42.9%0% (0-1)60.8% 30:1657.4% 22:44
James HagensC27:5721%73.3%100% (1-0)52.0% 30:2044.4% 18:54
Marat KhusnutdinovC27:5221%76.5%— (0-0)50.0% 30:2550.0% 17:24
Mason LohreiD11:043%100.0%— (0-0)54.8% 21:0447.1% 16:24

Linemate and opposition quality

2025-26 · 5v5 · 728 min on ice · ranked against 270 defencemen · last season, until this season has enough games to rank

51.0%

71st percentile · higher = stronger linemates

50.6%

96th percentile · higher = tougher opponents

Top-line role: strong linemates against the other team's best.

Each value is the ice-time-weighted average season xGF% of the skaters Clifton 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 4-3000-12020—18:3516:09—2:19
Sep 29vs NYRW 3-000002032—23:2322:080:080:41

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations241:5120:56373750.0%46.4%13251325%1.62.350%
Even strength238:1719:09372856.9%54.2%13191233%1.61.360%
5v5238:1719:09372856.9%54.2%13191233%1.61.360%
Power play10:080:0800——0000—0.00.0—
Penalty kill23:001:30090.0%0.0%06010%0.01.10%
4v523:001:30090.0%0.0%06010%0.01.10%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27BOS2000-1040.0%5220:59
2025-26PlayoffsPIT3000-3010.0%8111:50
2025-26PIT50246+553355.7%1808416:46
2024-25BUF7311516-645631.6%20811616:03
2023-24BUF7941418+1288775.2%20411716:33
2022-23PlayoffsBOS3000-4250.0%7614:40
2022-23BOS7851823+2060935.4%20812017:51
2021-22PlayoffsBOS7112+181010.0%31717:07
2021-22BOS602810-232802.5%1566216:04
2020-21PlayoffsBOS1000002100.0%271317:51
2020-21BOS44167+1038482.1%1085218:13
2019-20BOS31202+4122010.0%903314:25
2018-19PlayoffsBOS18235+2161118.2%321713:17
2018-19BOS19011+515220.0%401317:42

Connor Clifton 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.