Edgehalla
Mario Ferraro headshotSan Jose Sharks logo

San Jose Sharks

Mario Ferraro

#38Defenseman5'11"198 lb

0.0 in 2 days
2025-26 regular season
82
GP
7
G
16
A
23
P
94
SOG
7.4% SH
21:02
TOI/GP

D · SJS · NHL id 8479983

Mario Ferraro has played 82 games for the San Jose Sharks in 2025-26, scoring 7 goals and 16 assists (23 points) on 94 shots while averaging 21:02 a night (17:14 at even strength, 0:03 on the power play and 3:20 shorthanded). At 5v5 he has skated 49% of his 5v5 minutes with Shakir Mukhamadullin and 33% with William Eklund over the last 10 games, and the Sharks have controlled 45% of shot attempts with Ferraro on the ice (56-59 in goals, 37% offensive-zone starts). In the Sharks' most recent game against WPG he was on D3 with Luca Cagnoni and off the power play; dropped to D3 (from D1) in the last game. He is shooting 7.4% this season against 4.5% across the 490 games in our data.

Right now

From the Apr 16 game vs WPG, detected from shift data

Power play
No PP unit
Penalty kill
PK1D
Shakir Mukhamadullin
Dropped to D3 (from D1) in the last gameLast 5: D1 · D1 · D1 · D2 · D3

Deployment timeline

2025-26 · per-game ice time by strength, with line and power-play unit changes

Usage: 20 games, 21:00 average time on ice, PP1 in 0 games, 13 line changes.

PPLine21▲2▼21▲2▼1▲3▼2▲221▲3▼2▲1▲1112▼3▼0m8m17m25mMar 12Mar 15Mar 19Mar 24Mar 28Apr 1Apr 4Apr 8Apr 11Apr 15
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 21:00 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
Top speed38th3921.4 mph
Bursts 20+ mph65th6533
Hardest shot82nd8295.6 mph
Offensive-zone time1st137.6%
Distance skated80th80231.4 mi
High-danger SOG64th655
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

2025-26 · 207 attempts, 94 on goal, 7 goals

Shot map, OPP at SJS: 207 attempts, 94 on goal, 7 goals, 4.06 expected goals; best chance Mario Ferraro at 0.30 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 · 82 GP · 23 points vs 17.6 expected

Luck Meter →
Sell high

Last 20 games: +68. Positive means running hot (sell), negative running cold (buy).

7.4%
100.7
34.3%
G vs xG
7 / 3.7
  • • Role shrank over the last 10 games (2 demotion events): the cold spell may not be all luck.
Goals against expected goals
0246+3.3goals above expected1.7σ10/94/16
  • 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.

Fantasy box score

  • Games played82
  • Goals7376th
  • Assists16328th
  • Points23369th
  • Power-play points0437th
  • Shorthanded points0227th
  • Shots on goal94326th
  • Hits13790th
  • Blocked shots15016th
  • Plus/minus−1343rd
  • Penalty minutes35232nd
  • 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 · 82 of 82 games through the sequence engine

MethodLeaders
−0.048
Season net
−1.11xG

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

MethodLeaders
Per 60
0.26
Attempts
6
0.016

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

MethodLeaders
Season
−1.22G
Per 60
−0.043
Drawn / taken
11.5 / 17.5minors

MethodLeaders
46.8%
48.8%
46.8%
Transition CF/60
4.2
Turnovers won/60
20.9
Turnovers lost/60
22.6

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

MethodLeaders
  • More of his shots than the league
  • Fewer
94 shots on goal, 7 goals, all situations
AreaHis shareLeagueG
L Point34%5%0
Low Slot5%23%3
R Circle5%12%1
L Circle6%13%0
Outside L10%4%0
High Slot2%7%0
Center Point13%9%2

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 15, 2026 @ CHIOdd-man rushcarry1*36.63-on-2
Mar 15, 2026 @ OTTOdd-man rushcarry1*68.52-on-1, one-timer
Mar 14, 2026 @ MTLPoint shot—250.9—
Jan 19, 2026 @ FLAReboundcarry061.73-on-2, rebound
Jan 6, 2026 vs CBJOff the faceoff—0——
Dec 29, 2025 @ ANADeflectionloose017.4rebound
Oct 11, 2025 vs ANAForecheck turnover—035.1—
Jan 23, 2025 vs NSHForecheck turnover—1*48.4—
Jan 14, 2025 @ DETDeflectiondump027.65-on-0, deflection
Jan 2, 2025 vs TBLRushcarry050.2—
Nov 30, 2024 @ SEAOdd-man rushloose231.92-on-1
Nov 27, 2024 vs OTTOdd-man rushpass048.43-on-1, one-timer
Apr 13, 2024 vs MINOdd-man rushcarry378.33-on-2
Mar 19, 2024 @ NSHCycle—3*70.2—
Dec 10, 2023 @ VGKForecheck turnover—1*71.8—

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

Linemates

2025-26 · 5v5 time together and how each pairing performs with and without Ferraro

TeammatePosGPShareCF% togetherGF% togetherCF% Ferraro apartCF% mate apart
Shakir MukhamadullinD41473:3334%44.3%44% (15-19)51.2% 224:5544.2% 172:48
Alexander WennbergC80453:3832%47.9%57% (17-13)43.9% 912:1349.0% 642:10
William EklundLW78426:2031%50.4%46% (18-21)42.2% 912:0550.0% 683:28
Macklin CelebriniC82393:2028%44.9%60% (27-18)45.5% 1004:2650.5% 919:32
Collin GrafRW81363:0026%42.0%43% (9-12)46.7% 1019:1145.3% 684:51
Tyler ToffoliRW79356:0925%46.7%46% (16-19)44.3% 992:5347.8% 558:09
Will SmithC69287:2821%46.4%67% (20-10)45.1% 890:1449.5% 679:19
Barclay GoodrowC82274:1420%38.8%29% (5-12)46.9% 1123:3244.0% 480:52
Adam GaudetteC63248:4218%45.2%56% (10-8)47.2% 822:5244.5% 410:21
Timothy LiljegrenD35230:0516%44.0%67% (14-7)39.1% 360:3343.6% 338:49
John KlingbergD31229:3016%44.4%76% (13-4)41.5% 283:0345.9% 287:35
Zack OstapchukC59193:5914%39.7%33% (5-10)47.1% 815:3046.9% 323:57
Michael MisaC45191:2614%50.0%47% (7-8)43.8% 593:2049.6% 321:01
Philipp KurashevC43187:4413%41.4%79% (11-3)45.1% 521:4448.4% 354:34

Game log

82 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 16@ WPGW 6-1011+11033—21:2315:45—5:38
Apr 15@ CHIL 2-5101-33011—18:4415:060:033:35
Apr 13@ NSHW 3-200001242—22:4221:11——
Apr 11vs VANOTL 3-4000+12022—24:2718:32—5:55
Apr 9@ ANAL 1-6000-11012—23:3320:49—2:44
Apr 8vs EDML 2-500001001—23:4120:080:083:19
Apr 6vs CHIW 3-2000+12032—21:5116:22—4:10
Apr 4vs NSHL 3-6000-10043—16:3413:22—2:54
Apr 2vs TORW 4-1000+10022—20:4418:56—1:08
Apr 1vs ANAW 4-300000000—20:4816:34—3:59
Mar 30vs STLW 5-401101011—20:2018:16—1:53
Mar 28@ CBJW 3-2000+20002—20:5819:10—1:23
Mar 26@ STLOTL 1-2000-11032—20:0216:08—3:54
Mar 24@ NSHL 3-6011-11000—22:2018:490:173:14
Mar 21vs PHIL 1-400001221—20:2814:18—5:15
Mar 19vs BUFL 0-5000-21033—23:0619:520:043:10
Mar 17@ EDML 3-501102002—22:5617:35—5:21
Mar 15@ OTTL 4-711202002—20:3316:18—4:15
Mar 14@ MTLW 4-2101+22021—23:1817:23—3:30
Mar 12@ BOSW 4-200000011—20:3217:200:102:13

Season splits by strength

2025-26 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations821724:1921:021238202438.0%38.0%6189686710639%64.3103.624%
Even strength821412:4317:141179142545.3%45.4%582668566247%52.560.037%
5v5821397:4617:031172141545.3%45.5%579660565949%52.259.337%
Power play224:340:1240100.0%100.0%2000—0.20.067%
Penalty kill80273:423:25365166.5%8.0%232651383%2.238.70%
4v41711:260:406746.2%40.0%35020%0.30.417%
3v3 (OT)43:310:531325.0%25.0%03010%0.00.30%
5v4224:340:1240100.0%100.0%2000—0.20.067%
4v580269:263:22364976.8%8.3%232571353%2.236.00%
3v563:590:400180.0%0.0%08030%0.02.70%
6v5, own net empty112:540:1610100.0%100.0%1000—0.10.0—
5v6, opponent net empty3026:160:53186820.9%23.0%102710663%9.34.10%
4v6, opponent net empty33:271:090140.0%0.0%0800—0.00.7—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26SJS8271623-135947.4%13715021:02
2024-25SJS7851217-2553796.3%15012521:24
2023-24SJS7831821-38361242.4%12419522:52
2022-23SJS724711-3124666.1%12914521:36
2021-22SJS6321214-516494.1%14015123:00
2020-21SJS5611617-622581.7%1559622:26
2019-20SJS612911-1530633.2%1205815:53

Mario Ferraro 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.