Edgehalla
Tanner Glass headshotCalgary Flames logo

Calgary Flames

Tanner Glass

#15Left Wing

2017-18 regular season
16
GP
0
G
0
A
0
P
14
SOG
0.0% SH
9:23
TOI/GP

LW · CGY · NHL id 8470854

Tanner Glass has played 16 games for the Calgary Flames in 2017-18, scoring 0 goals and 0 assists (0 points) on 14 shots while averaging 9:23 a night (8:25 at even strength, 0:02 on the power play and 0:51 shorthanded). At 5v5 the Flames have controlled 51% of shot attempts with Glass on the ice (0-4 in goals, 46% offensive-zone starts). In the Flames' most recent game against WPG he was on L4 with Curtis Lazar and Garnet Hathaway and off the power play. He is shooting 0.0% this season.

Right now

From the Apr 5 game vs WPG, detected from shift data

Power play
No PP unit
Penalty kill
No PK unit
Last 5: L4 · L4 · L3 · L4 · L4

Deployment timeline

2017-18 · per-game ice time by strength, with line and power-play unit changes

Usage: 9 games, 9:09 average time on ice, PP1 in 0 games, 2 line changes.

PPLine4444443▲4▼40m3m7m10m13mFeb 22Feb 27Mar 2Mar 7Mar 11Mar 16Mar 19Mar 24Mar 29Apr 3
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
9 games shown, 9:09 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

2017-18 · 25 attempts, 14 on goal, 0 goals

Shot map, OPP at CGY: 25 attempts, 14 on goal, 0 goals, 1.38 expected goals; best chance Tanner Glass at 0.32 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

2017-18 · cumulative goals against expected goals from his own shots

00.511.522.5-1.4goals below expected-1.3σOct 4Apr 5
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Beyond the box score

2017-18 regular season · 16 of 16 games through the sequence engine

MethodLeaders
+0.028
Season net
+0.06xG

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

MethodLeaders
Per 60
0.89
Attempts
2
0.005

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

MethodLeaders
Season
+0.00G
Per 60
+0.000
Drawn / taken
9.5 / 9.5minors

MethodLeaders
50.7%
41.7%
51.0%
Transition CF/60
5.3
Turnovers won/60
8.0
Turnovers lost/60
17.8

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

Linemates

2017-18 · 5v5 time together and how each pairing performs with and without Glass

No 5v5 pairing data this season yet.

Game log

16 games in 2017-18, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 5@ WPGL 1-200001201—9:518:49—1:02
Apr 3vs ARIL 1-400003020—9:247:38—1:18
Mar 31vs EDMW 3-2000-10501—9:008:46—0:14
Mar 29vs CBJL 1-50000102050%9:318:29—1:02
Mar 26@ LAKL 0-300001040—9:569:36—0:20
Mar 24@ SJSL 1-500001041—11:0710:340:030:30
Mar 21vs ANAL 0-4000-11060—9:569:56——
Mar 2vs NYRL 1-300001010—7:386:24—1:14
Feb 28@ COLL 2-500000700—6:226:22——
Oct 27vs DALL 1-20000003050%10:3910:220:030:14
Oct 19vs CARL 1-200000031—8:066:59—1:07
Oct 14@ VANW 5-2000010210%9:266:130:043:09
Oct 11@ LAKW 4-3000-12012—8:146:47—1:27
Oct 9@ ANAW 2-000001030—11:259:040:181:20
Oct 7vs WPGW 6-300001010—10:099:23—0:46
Oct 4@ EDML 0-3000-10530—9:219:21——

Season splits by strength

2017-18 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations16150:059:2313614947.7%50.0%7376050%5.36.546%
Even strength16134:438:2513412851.1%53.2%7162040%5.14.946%
5v516134:438:2513412851.1%53.2%7162040%5.14.946%
Power play40:280:0700——0000—0.00.0100%
Penalty kill1313:431:0321810.0%12.5%214010%0.21.417%
4v51313:431:0321810.0%12.5%214010%0.21.417%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2017-18CGY16000-419140.0%3579:23

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.