Edgehalla
Connor Brickley headshotNew York Rangers logo

New York Rangers

Connor Brickley

#23Left Wing

2018-19 regular season
14
GP
1
G
3
A
4
P
18
SOG
5.6% SH
8:59
TOI/GP

LW · NYR · NHL id 8475736

Connor Brickley has played 14 games for the New York Rangers in 2018-19, scoring 1 goal and 3 assists (4 points) on 18 shots while averaging 8:59 a night. At 5v5 the Rangers have controlled 38% of shot attempts with Brickley on the ice (5-2 in goals, 50% offensive-zone starts). He is shooting 5.6% this season against 6.3% across the 58 games in our data.

Right now

From the Apr 6 game vs PIT, detected from shift data

No unit data for the most recent game yet. Lines appear once the game's shift data is processed.

Last 5: L4 · L4 · L1 · L4 · L4

Deployment timeline

2018-19 · per-game ice time by strength, with line and power-play unit changes

Usage: 8 games, 9:43 average time on ice, PP1 in 0 games, 1 line changes.

PPLine43▲4441440m3m7m10m13m17mFeb 27Mar 3Mar 7Mar 11Mar 15Mar 19Mar 25Mar 29Apr 1Apr 5
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
8 games shown, 9:43 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

Puck and player tracking

Source: NHL EDGE

No NHL EDGE tracking data for this player yet. Edge covers 2021-22 onward and refreshes nightly.

Shot map

2018-19 · 23 attempts, 18 on goal, 1 goal

Shot map, OPP at NYR: 23 attempts, 18 on goal, 1 goal, 2.76 expected goals; best chance Connor Brickley at 0.70 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).

Puck luck

2018-19 · cumulative goals against expected goals from his own shots

01234-1.8goals below expected-1.2σFeb 15Apr 6
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Beyond the box score

2018-19 regular season · 12 of 14 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.018
Season net
−0.04xG

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

MethodLeaders
Per 60
0.96
Attempts
2
0.111

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

MethodLeaders
Season
+1.13G
Per 60
+0.539
Drawn / taken
11.5 / 4.5minors

MethodLeaders
39.8%
42.1%
39.0%
Transition CF/60
3.8
Turnovers won/60
19.6
Turnovers lost/60
19.6

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

MethodLeaders
  • More of his shots than the league
  • Fewer
18 shots on goal, 1 goals, all situations
AreaHis shareLeagueG
Low Slot39%24%0
High Slot17%9%0
Center Point0%8%0
R Point0%7%0
Outside R11%4%0
L Circle6%11%0
R Circle6%11%0

Linemates

2018-19 · 5v5 time together and how each pairing performs with and without Brickley

No 5v5 pairing data this season yet.

Game log

14 games in 2018-19, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 6@ PITW 4-3000+10010—9:059:05——
Apr 5vs CBJOTL 2-3000000210%10:0210:02——
Apr 1@ NJDL 2-4011+11020—13:3413:30——
Mar 27@ BOSL 3-6000010300%8:208:20——
Mar 15@ CGYL 1-5000-110020%8:318:31——
Mar 11@ EDMOTL 2-300001760—6:296:29——
Mar 1vs MTLL 2-4000020210%12:2212:22——
Feb 27vs TBLOTL 3-400002052—9:269:26——
Feb 24@ WSHOTL 5-6011+132200%7:367:36——
Feb 23vs NJDW 5-2000020100%6:566:56——
Feb 21vs MINL 1-4000-12040—11:3211:32——
Feb 19@ CARW 2-1101+11020—7:277:27——
Feb 17@ PITL 5-600000020—5:585:58——
Feb 15@ BUFW 6-2011+12030—8:238:23——

Season splits by strength

2018-19 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations14125:418:598514237.4%39.0%55825271%5.89.150%
Even strength14125:378:588514137.6%39.2%55815271%5.89.050%
5v514125:378:588514137.6%39.2%55815271%5.89.050%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2018-19NYR14134+39185.6%3568:59
2017-18FLA444812-619626.5%822811:53

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.