Edgehalla
Mark Giordano headshotToronto Maple Leafs logo

Toronto Maple Leafs

Mark Giordano

#55Defenseman

2023-24 regular season
46
GP
3
G
6
A
9
P
59
SOG
5.1% SH
16:37
TOI/GP

D · TOR · NHL id 8470966

Mark Giordano has played 46 games for the Toronto Maple Leafs in 2023-24, scoring 3 goals and 6 assists (9 points) on 59 shots while averaging 16:37 a night (13:43 at even strength, 0:25 on the power play and 2:14 shorthanded). At 5v5 the Maple Leafs have controlled 54% of shot attempts with Giordano on the ice (32-25 in goals, 55% offensive-zone starts). In the Maple Leafs' most recent game against TBL he was on D2 with Conor Timmins and on PP2; moved up to D2 (from D3) in the last game. He is shooting 5.1% this season against 5.4% across the 498 games in our data.

Right now

From the Apr 17 game vs TBL, detected from shift data

Moved up to D2 (from D3) in the last gameLast 5: D3/PP2 · D3 · D2 · D3/PP2 · D2/PP2

Deployment timeline

2023-24 · per-game ice time by strength, with line and power-play unit changes

Usage: 8 games, 15:58 average time on ice, PP1 in 0 games, 2 line changes.

PPLine333▲33▼2▲3▲20m3m7m10m13m17m20mMar 7Mar 14Mar 19Mar 23Mar 26Mar 30Apr 3Apr 8Apr 11Apr 16
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
8 games shown, 15:58 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

2023-24 percentiles among skaters at his position

Source: NHL EDGE
Top speed29th3021.2 mph
Bursts 20+ mph41st4115
Hardest shot85th8597.7 mph
Offensive-zone time53rd5341.9%
Distance skated38th38101.4 mi
High-danger SOG48th483
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

2023-24 · 147 attempts, 59 on goal, 3 goals

Shot map, OPP at TOR: 147 attempts, 59 on goal, 3 goals, 2.21 expected goals; best chance Mark Giordano at 0.37 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

2023-24 · cumulative goals against expected goals from his own shots

0123+0.8goals above expected0.6σOct 11Apr 17
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Beyond the box score

2023-24 regular season · 45 of 46 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.044
Season net
−0.47xG

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

MethodLeaders
Per 60
0.67
Attempts
7
0.002

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

MethodLeaders
Season
−3.49G
Per 60
−0.274
Drawn / taken
6.5 / 24.5minors

MethodLeaders
55.5%
56.4%
56.4%
Transition CF/60
6.2
Turnovers won/60
15.7
Turnovers lost/60
15.0

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

MethodLeaders
  • More of his shots than the league
  • Fewer
59 shots on goal, 3 goals, all situations
AreaHis shareLeagueG
L Point37%6%1
Low Slot5%22%1
R Circle2%12%0
Outside R0%5%0
R Point10%6%0
Crease0%2%0
R Net Side2%4%0

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Mar 28, 2024 vs WSHRushcarry166.2—
Oct 28, 2023 @ NSHCycle—024.1—

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

Linemates

2023-24 · 5v5 time together and how each pairing performs with and without Giordano

No 5v5 pairing data this season yet.

Game log

46 games in 2023-24, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 17@ TBLL 4-600003012—18:4115:421:191:27
Apr 11vs NJDL 5-600001011—15:5614:441:12—
Apr 9@ NJDW 5-2101+22002—17:3616:31—0:12
Apr 8vs PITW 3-200002200—14:3012:120:152:03
Apr 6@ MTLW 4-2000+11021—17:2216:280:54—
Apr 1vs FLAW 6-4000-10231—13:0510:102:020:53
Mar 30@ BUFW 3-0000+121010—15:3910:04—4:17
Mar 28vs WSHW 5-1101+12213—17:1916:45—0:34
Feb 29vs ARIW 4-200001000—3:093:09——
Feb 27vs VGKL 2-600001010—18:0414:120:183:34
Feb 15vs PHIW 4-3000-10244—15:4112:160:542:31
Feb 13vs STLW 4-1011+21030—16:3813:051:022:19
Feb 7vs DALW 5-4000-21003—14:339:45—3:10
Feb 5vs NYIL 2-300002002—16:4214:47—1:55
Jan 27@ WPGW 4-200000014—16:2411:390:344:11
Jan 20@ VANL 4-600001212—16:4612:401:172:11
Jan 18@ CGYW 4-3000+22000—14:3811:29—2:47
Jan 16@ EDML 2-400001002—12:4711:220:171:02
Jan 13vs COLL 3-5000+21210—14:0610:520:342:40
Jan 11@ NYIOTL 3-4000-10012—15:5912:591:051:55

Season splits by strength

2023-24 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations46764:2316:3778583348.5%48.1%389395384546%37.439.938%
Even strength46631:1713:4371960154.5%54.0%350276322556%31.524.455%
5v546629:3713:4171960154.5%54.0%350276322556%31.524.455%
Power play2819:160:4126778.8%73.9%1241150%1.30.8100%
Penalty kill41102:242:302920212.6%13.9%211071185%1.113.50%
5v42819:160:4126778.8%73.9%1241150%1.30.8100%
4v54197:122:222819012.8%14.5%211001176%1.112.60%
6v5, own net empty82:150:1750100.0%100.0%3010100%0.30.0—
5v6, opponent net empty106:350:4061627.3%37.5%373175%3.10.90%
3v433:301:101614.3%0.0%04010%0.00.50%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2023-24TOR46369+1049595.1%518616:37
2022-23PlayoffsTOR11022-77140.0%92014:53
2022-23TOR7842024+27531073.7%6014718:57
2021-22PlayoffsTOR702206100.0%61220:07
2021-22TOR, SEA7582735-9571515.3%7513920:53
2020-21CGY5691726+5141426.3%5111022:57
2019-20CGY6052631+2341573.2%4214823:53
2018-19PlayoffsCGY5022-30130.0%91126:22
2018-19CGY78175774+39692217.7%5814424:14
2017-18CGY821325380632146.1%9316124:47

Mark Giordano 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.