Yanni Gourde

#37Center5'10"174 lb

+4.0 in 3 days

2025-26 regular season

114

SOG

7.9% SH

16:22

TOI/GP

C · TBL · NHL id 8476826

Yanni Gourde has played 82 games for the Tampa Bay Lightning in 2025-26, scoring 9 goals and 19 assists (28 points) on 114 shots while averaging 16:22 a night (13:52 at even strength, 0:11 on the power play and 2:02 shorthanded). At 5v5 he has skated 46% of his 5v5 minutes with Nick Paul and 43% with Zemgus Girgensons over the last 10 games, and the Lightning have controlled 52% of shot attempts with Gourde on the ice (32-43 in goals, 40% offensive-zone starts). In the Lightning's most recent game against MTL he was on L2 with Zemgus Girgensons and Nick Paul and off the power play; moved up to L2 (from L3) in the last game. He is shooting 7.9% this season against 12.2% across the 732 games in our data.

Right now

From the May 3 game vs MTL, detected from shift data

Line

Zemgus Girgensons Nick Paul

Power play

No PP unit

Penalty kill

PK1F

Zemgus Girgensons

Moved up to L2 (from L3) in the last gameLast 5: L2 · L3 · L3 · L3 · L2

Deployment timeline

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

Even strength
Power play
Penalty kill
5-game average
Did not play
▲ promoted · ▼ demoted

20 games shown, 15:43 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

Top speed31st3121.8 mph

Bursts 20+ mph69th6996

Hardest shot75th7688.8 mph

Offensive-zone time30th3040.7%

Distance skated90th90228.9 mi

High-danger SOG60th6136

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 · 230 attempts, 120 on goal, 9 goals

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 · 28 points vs 33.2 expected

Luck Meter →

Hold(softened from Buy low by the sustainability check)

Luck meter-52

Last 20 games: -47. Positive means running hot (sell), negative running cold (buy).

Shooting−3.9 G

On-ice SH%−7.4 G

On-ice SV%−2.9 G

IPP+0.3 G

Points vs expected−5.2 P

: 7.9%
: 97.5
: 68.3%
G vs xG: 9 / 12.9

• Role shrank over the last 10 games (2 demotion events): the cold spell may not be all luck.

Goals against expected goals

Actual goals
Expected
±1σ
Above expected
Below expected

Player analytics

Compare with another player →

2025-26 regular season. Rank is among all qualified players; the bar is his percentile among forwards. Each stat links to its explainer.

Fantasy box score

Games played82
Goals9320th of 715
Assists19283rd of 715
Points28315th of 715
Power-play points0437th of 715
Shorthanded points0227th of 715
Shots on goal114251st of 715
Hits115134th of 715
Blocked shots31441st of 715
Plus/minus−6472nd of 715
Penalty minutes6653rd of 715
Faceoffs won39675th of 715

Possession & shot quality (5-on-5 on-ice)

Corsi (CF%)52.4%157th of 719
Fenwick (FF%)51.6%203rd of 719
Expected goals (xGF%)51.4%251st of 719
Sequence xG (sxGF%)51.0%273rd of 719
High-danger chances (HDCF%)55.8%96th of 719
Scoring chances (SCF%)53.6%134th of 719

Transition, turnovers & faceoffs

Transition attempts /601.28179th of 719
Turnover Ledger /60−0.008153rd of 719
Forecheck xG /60 (on-ice)0.13705th of 719
Faceoff win %45.0%179th of 238
Draw Equity /100−0.073193rd of 238

Usage

Ice time per game16:22350th of 715
Power-play time per game0:11473rd of 715
Power-play share7.9%513th of 713
Ice-time share27.0%345th of 715
Offensive-zone start %39.8%581st of 719

Special teams & discipline

Net penalties drawn /60−0.45550th of 719

Luck & trend

On-ice PDO975580th of 719
Goals above expected−3.9657th of 715
Luck Meter−52740th of 828
Ascension score—

NHL EDGE tracking

Top skating speed21.8523rd of 715
20+ mph bursts96206th of 715
Hardest shot88.8320th of 715
Offensive-zone time40.7%474th of 715

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

Method Leaders

: −0.031
Season net: −0.57xG

Offensive TK/600.59 (11)

Offensive GV/601.92 (36)

Neutral TK/600.11 (2)

Neutral GV/601.18 (22)

Defensive TK/600.43 (8)

Defensive GV/600.48 (9)

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

Method Leaders

Per 100 draws: −0.073
Season: −0.64G
: 44.9%881 draws

Wins by zone: OZ 75-107 · NZ 174-169 · DZ 147-209

Method Leaders

Per 60: 1.28
Attempts: 24
: 0.052

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

Method Leaders

Season: −2.04G
Per 60: −0.091
Drawn / taken: 23 / 33minors

Method Leaders

: 51.0%
: 55.8%
: 51.4%
Transition CF/60: 3.9
Turnovers won/60: 18.1
Turnovers lost/60: 19.5

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

Method Leaders

More of his shots than the league
Fewer

114 shots on goal, 9 goals, all situations
Area	His share	League	G
Outside L	8%	4%	0
Center Point	6%	9%	1
Crease	5%	3%	0
High Slot	5%	7%	2
L Net Side	2%	3%	0
R Point	4%	6%	0
Outside R	4%	4%	0

Role changes

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

All alerts →

Moved up to L1 from L3Feb 13, 2020 alerts →
Moved down to L4 from L1Apr 14, 2019 alerts →
Played 6:15 more than his 5-game averageApr 2, 2019 alerts →
Moved up to L1 from L3Apr 1, 2019 alerts →
Played 8:37 more than his 5-game averageApr 1, 2019 alerts →
Moved up to PP1 from PP2Nov 13, 2018 alerts →
Moved up to L2 from L4Dec 14, 2017 alerts →

How the goals happened

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

Method

Goal anatomy
Game	Play	Entry	Passes	Shot mph	Notes
Mar 19, 2026 @ VAN	Deflection	carry	0	11.4	3-on-1, rebound
Mar 14, 2026 vs CAR	Odd-man rush	carry	0	56.3	1-on-0
Jan 29, 2026 vs WPG	Deflection	—	8*	26.2	one-timer
Jan 10, 2026 @ PHI	Odd-man rush	carry	1	76.7	1-on-0
Nov 28, 2025 @ DET	Rebound	carry	0	77.8	3-on-2, rebound
Nov 28, 2025 @ DET	Rebound	loose	0	4.4	rebound
Nov 2, 2025 @ UTA	Rush	carry	0	19.4	—
Oct 13, 2025 @ BOS	Forecheck turnover	—	1	44.1	—
Oct 11, 2025 vs NJD	Odd-man rush	carry	0	69.7	3-on-2
Apr 7, 2025 @ NYR	Forecheck turnover	—	0	25.3	—
Dec 30, 2024 vs UTA	Rebound	—	0	49.4	rebound
Dec 8, 2024 @ NYR	Odd-man rush	carry	0	32.5	1-on-0
Dec 3, 2024 @ CAR	Forecheck turnover	loose	0	22.2	—
Nov 29, 2024 @ SJS	Rebound	—	0	18.1	rebound
Nov 20, 2024 vs NSH	Rush	loose	0	41.1	—
Nov 16, 2024 vs NYI	Deflection	—	2	4.1	rebound
Apr 18, 2024 @ MIN	Odd-man rush	carry	0	25.4	1-on-0
Apr 18, 2024 @ MIN	Odd-man rush	carry	1	61.4	1-on-0
Apr 16, 2024 @ WPG	Deflection	carry	3	45.7	deflection
Mar 4, 2024 @ CGY	Forecheck turnover	—	0	43.4	—
Jan 9, 2024 @ BUF	Rebound	—	1	37.1	rebound
Jan 4, 2024 vs OTT	Rebound	—	1	26.9	rebound
Jan 1, 2024 vs VGK	Odd-man rush	loose	0	9.5	1-on-0
Nov 22, 2023 vs SJS	Forecheck turnover	—	2	22.9	one-timer
Nov 18, 2023 @ VAN	Deflection	—	1	11.4	—
Oct 30, 2023 @ TBL	Cycle	—	0	43.9	—
Oct 19, 2023 vs CAR	Deflection	loose	0	38.3	deflection

* 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 Gourde

Teammate	Pos	GP		Share	CF% together	GF% together	CF% Gourde apart	CF% mate apart
Zemgus Girgensons	C	77	820:04	68%	51.8%	47% (21-24)	53.0% 231:55	40.1% 127:43
Pontus Holmberg	RW	70	768:14	63%	54.3%	44% (22-28)	50.9% 192:08	54.5% 128:49
J.J. Moser	D	86	453:07	37%	57.2%	52% (13-12)	49.5% 719:46	57.6% 1089:38
Erik Cernak	D	68	372:11	31%	47.9%	32% (8-17)	52.1% 562:13	48.5% 609:26
Darren Raddysh	D	79	371:16	31%	54.8%	52% (13-12)	51.5% 716:12	58.7% 982:33
Ryan McDonagh	D	55	315:17	26%	51.7%	33% (6-12)	49.8% 427:53	48.3% 523:05
Charle-Edouard D'Astous	D	68	308:45	25%	51.5%	39% (9-14)	54.1% 608:13	55.1% 806:32
Emil Lilleberg	D	55	241:27	20%	52.3%	53% (8-7)	50.3% 495:23	52.2% 594:08
Oliver Bjorkstrand	RW	33	178:09	15%	50.0%	36% (4-7)	49.4% 275:01	48.2% 187:51
Victor Hedman	D	31	120:39	10%	47.6%	57% (4-3)	51.5% 294:32	52.9% 314:57
Declan Carlile	D	39	112:31	9%	43.0%	29% (2-5)	57.7% 436:21	50.5% 425:01
Maxwell Crozier	D	33	101:39	8%	53.4%	33% (2-4)	54.8% 354:46	53.8% 388:26
Nick Paul	LW	12	87:12	7%	48.6%	50% (1-1)	56.2% 82:49	53.8% 71:02
Jake Guentzel	C	26	65:27	5%	42.9%	50% (1-1)	49.6% 293:39	59.3% 307:52

Linemate and opposition quality

2025-26 · 5v5 · 1,122 min on ice · ranked against 510 forwards

53.0%

85th percentile · higher = stronger linemates

50.1%

69th 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 Gourde 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

89 games in 2025-26, newest first

Season

Date	Opp	Result	A	P	+/-		PIM	HIT	BLK			EV	PP	PK
May 3PO	vs MTL	L 1-2	0	0	0	0	0	2	1	100%	16:01	13:39	—	2:22
May 1PO	@ MTL	W 1-0	0	0	0	2	0	2	0	0%	13:53	12:16	—	1:37
Apr 29PO	vs MTL	L 2-3	1	1	+1	0	2	0	0	40%	14:23	12:48	0:03	1:32
Apr 26PO	@ MTL	W 3-2	0	0	0	1	2	2	1	0%	12:46	10:15	—	2:11
Apr 24PO	@ MTL	OTL 2-3	0	0	0	0	0	3	0	44%	16:08	13:11	—	2:57
Apr 21PO	vs MTL	W 3-2	0	0	-1	2	4	1	1	0%	18:41	16:11	—	2:17
Apr 19PO	vs MTL	OTL 3-4	0	0	0	1	2	2	0	0%	17:35	14:10	0:14	3:02
Apr 15	vs NYR	L 2-4	0	0	-2	1	0	1	0	27%	18:56	16:07	—	2:49
Apr 13	vs DET	W 4-3	0	0	+1	0	0	0	0	50%	18:10	15:20	—	2:50
Apr 11	@ BOS	W 2-1	0	0	0	0	0	5	0	0%	13:42	13:39	—	—
Apr 9	@ MTL	L 1-2	0	0	-1	1	4	6	0	44%	14:05	10:00	—	4:05
Apr 7	@ OTT	L 2-6	0	0	-1	1	2	2	2	50%	17:13	15:50	—	1:23
Apr 6	@ BUF	L 2-4	0	0	-2	0	0	0	1	22%	14:53	10:26	0:17	3:37
Apr 4	vs BOS	W 3-1	0	0	0	2	0	3	1	14%	17:04	13:18	—	3:46
Apr 2	vs PIT	W 6-3	1	1	0	2	0	0	1	29%	15:43	13:10	—	2:33
Mar 31	vs MTL	L 1-4	0	0	0	4	0	3	0	71%	14:19	12:14	0:09	0:50
Mar 29	vs NSH	W 3-2	0	0	-2	1	0	2	0	33%	15:29	12:39	0:02	2:36
Mar 28	vs OTT	W 4-2	1	1	0	2	0	0	0	33%	18:44	17:00	0:03	0:47
Mar 26	vs SEA	OTL 3-4	0	0	-1	2	0	1	0	78%	16:14	15:24	—	0:50
Mar 24	vs MIN	W 6-3	0	0	+1	2	0	0	1	43%	15:00	13:41	—	0:14

Season splits by strength

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

Strength	GP		TOI/GP						SA	GF	GA	GF%
All situations	82	1342:00	16:22	1096	1174	48.3%	47.4%	484	569	41	64	39%	51.1	59.2	36%
Even strength	82	1137:06	13:52	1011	927	52.2%	51.4%	436	443	32	44	42%	41.6	39.7	39%
5v5	82	1122:28	13:41	1006	912	52.5%	51.6%	435	436	32	43	43%	41.5	39.2	40%
Power play	38	14:36	0:23	16	4	80.0%	75.0%	7	3	0	0	—	1.1	0.2	92%
Penalty kill	78	167:16	2:09	37	211	14.9%	14.0%	21	111	0	17	0%	1.3	16.8	9%
4v4	21	11:11	0:32	4	11	26.7%	28.6%	1	4	0	1	0%	0.0	0.3	22%
3v3 (OT)	5	3:27	0:41	1	4	20.0%	0.0%	0	3	0	0	—	0.0	0.2	0%
5v4	38	14:28	0:23	16	4	80.0%	75.0%	7	3	0	0	—	1.1	0.2	100%
4v5	78	164:08	2:06	37	205	15.3%	14.4%	21	106	0	16	0%	1.3	16.2	10%
3v5	3	2:32	0:51	0	5	0.0%	0.0%	0	4	0	0	—	0.0	0.5	—
6v5, own net empty	19	8:39	0:27	21	5	80.8%	87.0%	14	2	3	2	60%	1.7	1.3	100%
5v6, opponent net empty	21	12:52	0:37	11	21	34.4%	36.4%	6	7	6	1	86%	5.5	0.8	0%

Career by season

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

Season	Team	GP	G	A	P	+/-	PIM			HIT	BLK	TOI/GP
2025-26Playoffs	TBL	7	0	1	1	0	10	6	0.0%	12	3	15:38
2025-26	TBL	82	9	19	28	-6	66	114	7.9%	115	31	16:22
2024-25Playoffs	TBL	5	0	1	1	-3	0	2	0.0%	9	6	14:31
2024-25	TBL, SEA	57	7	24	31	-1	52	75	9.3%	109	36	16:03
2023-24	SEA	80	11	22	33	-11	62	156	7.1%	156	52	17:27
2022-23Playoffs	SEA	14	4	9	13	+1	14	25	16.0%	52	11	19:38
2022-23	SEA	81	14	34	48	+23	76	141	9.9%	118	54	17:08
2021-22	SEA	74	21	27	48	-13	45	127	16.5%	77	31	18:29
2020-21Playoffs	TBL	23	6	1	7	+4	13	45	13.3%	27	10	17:36
2020-21	TBL	56	17	19	36	+10	44	118	14.4%	51	21	17:04
2019-20	TBL	70	10	20	30	-5	49	110	9.1%	78	20	14:04
2018-19Playoffs	TBL	4	1	0	1	-3	0	5	20.0%	5	0	12:40
2018-19	TBL	80	22	26	48	+9	66	130	16.9%	83	30	15:50
2017-18Playoffs	TBL	17	2	5	7	0	8	27	7.4%	22	8	14:48
2017-18	TBL	82	25	39	64	+34	50	136	18.4%	57	42	16:09

Yanni Gourde news

Yanni Gourde Injury: Lands on non-roster list
RotoWireSep 28, 2026
Yanni Gourde Bio, Awards & Draftinfo
nhl.comSep 22, 2026
Yanni Gourde's Hip Surgery Has Forward Miss Start of 2026-27 Season
Last Word On SportsSep 18, 2026
A list of NHL injuries heading into the first day of training camp
NHLRumors.comSep 17, 2026
Video - Lightning to Start Season Without Yanni Gourde, Dominic James
The Hockey NewsSep 16, 2026
Yanni Gourde Injury: Ruled out until December
RotoWireSep 16, 2026
Lightning's Yanni Gourde Out Until December Following Hip Surgery
Pro Hockey RumorsSep 16, 2026
Lightning's Yanni Gourde: Ruled out until December
CBS SportsSep 16, 2026

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.

Right now

Deployment timeline

NHL EDGE tracking

Shot map

Luck

Player analytics

Fantasy box score

Possession & shot quality (5-on-5 on-ice)

Transition, turnovers & faceoffs

Usage

Special teams & discipline

Luck & trend

NHL EDGE tracking

Beyond the box score

Turnover LedgerTurnover Ledger (TO±)Takeaways credited and giveaways charged at the league xG value of the zone where possession changed, per 60.Glossary →

Draw EquityDraw Equity (DrEq)Faceoff results in goals: each win or loss scored against a coin flip and weighted by the zone. 100 extra offensive- or defensive-zone wins are worth about 1.9 goals.Σ (win − 0.5) × V(zone)Glossary →

Transition attemptsTransition attempt (TRN)An attempt within 10 s of a turnover, recovery, hit-forced recovery or faceoff win in the neutral or defensive zone, in the same play.Glossary →

Penalty ValuePenalty Value (PenV)Minor penalties drawn minus taken, times the net xG of a power play (about 0.20 per two-minute minor).(minors drawn − minors taken) × 0.20Glossary →

On-ice sequence resultsSequence xG (sxG)xG adjusted for flurries: a rebound only counts for the chance that the earlier shots in the same play did not already score.sxG_i = xG_i × Π (1 − xG_j) over earlier same-team shots in the playGlossary →

Shot DietShot diet (ixG/att)Average xG per individual unblocked attempt: how dangerous a player's typical shot is. One of the most stable traits we measure (split-half r 0.68).Shot diet = ixG / iFFGlossary →

Role changes

How the goals happened

Linemates

Linemate and opposition quality

Game log

Season splits by strength

Career by season

Yanni Gourde news