Games today: 10
puckmodel
ANABOSBUFCARCBJCGYCHICOLDALDETEDMFLALAKMINMTLNJDNSHNYINYROTTPHIPITSEASJSSTLTBLTORUTAVANVGKWPGWSHUFA
New York Islanders › Adam Boqvist
Adam Boqvist
D · #34 · 26 · 6′0″ · 195 lb
Sheltered third-pair D · Boom-or-bust (13th pct)
Draft2018 · CHI · Round 1 · 8th overall
Average career stats over an 84-game season
8
G
23
A
32
P
-18
+/−
18
PIM
16:33
TOI/GP
2:13
PP TOI/GP
0:03
SH TOI/GP
SeasonTeamTypeBox scoreNet goals per 84 gamesEloOn-ice contextContract
GPGAP+/−PIMPPPSHPGWGSOGHITBLKTKGVHITTShootoutOZ/DZ
starts		EV offEV defPPPKFinPlaySuppPenFOSOOverallCompTop oppMatesTop linematesCap hitPlayer
value		Contract
value
2019-20CHI414913-362015033431026612.24+0.814:02-2.4-0.12:10-0.30:01+0.8-0.4-1.5+3.6+0.0+0.0+0.6+16-0.1Edler4.0%-1.0Keith62%Kane38%Toews36%Dach34%$0.89M1.1%$3.5M4.3%+$2.6M
2020-21CHI3521416-714800392929721473.65+1.013:32-0.2-2.93:22-0.10:03-1.2+0.1-1.2+2.9+0.0+0.0-1.7-9+0.2McDonagh11.7%-4.1Kane50%DeBrincat47%Keith40%de Haan27%$0.89M1.1%$3.4M4.2%+$2.5M
2021-22CBJ52111122-11126016426471128510/12.03+0.115:04-0.2-1.31:55-0.30:02+4.2-1.1-1.6+1.5+0.0-0.7+0.6+0-0.3Skjei3.4%-0.5Voracek31%Bjorkstrand30%Gavrikov29%Nyquist28%$0.89M1.1%$3.4M4.2%+$2.5M
2022-23CBJ4651924-1289016823471124462.55+1.415:32-1.4+0.83:03-0.00:02+0.1+1.5-1.6+2.7+0.0+0.0+3.6-8-0.1Miller3.4%-1.6Gaudreau42%Marchenko34%Jenner34%Laine31%$2.60M3.2%$3.7M4.4%+$1.1M
2023-24CBJ351910-80400451142716381.74+1.116:08-1.7+0.42:04-0.10:03-2.2+0.5-1.6+3.0+0.0-0.0-0.5-8+0.7Trocheck4.1%-2.1Werenski59%Gaudreau42%Jenner32%Marchenko27%$2.60M3.1%$3.4M4.1%+$0.8M
2024-25FLANYI3541014-910600401319421313.27+1.411:59+0.6+0.92:01-0.00:03+1.6+1.3-1.2-0.7+0.0+0.0+3.8-9+0.1Miller4.7%-0.2Schmidt24%Verhaeghe19%Pageau16%Holmstrom15%$0.78M0.9%$3.8M4.4%+$3.1M
2025-26NYI28044-98100171123511351.87+0.612:32-0.1-0.10:26-0.10:07-1.5-0.1-1.3-1.1+0.0+0.0-3.7-5-0.9Myers5.2%-2.1Mayfield47%Barzal27%Heineman26%Cizikas25%$0.85M0.9%$3.1M3.2%+$2.2M
2019-20CHI414913-362015033431026612.24+0.314:02-0.5-0.02:10-0.10:01+0.1-0.2-1.2+1.2-0.0-0.0-0.5+16-0.1Edler4.0%-1.0Keith62%Kane38%Toews36%Dach34%$0.89M1.1%$3.5M4.3%+$2.6M
2020-21CHI3521416-714800392929721473.65+0.513:32-0.3-0.63:22-0.00:03-0.0-0.2-1.0+1.7+0.0+0.0-0.0-9+0.2McDonagh11.7%-4.1Kane50%DeBrincat47%Keith40%de Haan27%$0.89M1.1%$3.4M4.2%+$2.5M
2021-22CBJ52111122-11126016426471128510/12.03+0.315:04-0.3-0.51:55-0.10:02+0.4-0.5-1.4+1.5+0.0-0.0-0.6+0-0.3Skjei3.4%-0.5Voracek31%Bjorkstrand30%Gavrikov29%Nyquist28%$0.89M1.1%$3.4M4.2%+$2.5M
2022-23CBJ4651924-1289016823471124462.55+0.715:32-0.6-0.13:03-0.10:02+0.3+0.2-1.4+1.9+0.0-0.0+1.1-8-0.1Miller3.4%-1.6Gaudreau42%Marchenko34%Jenner34%Laine31%$2.60M3.2%$3.7M4.4%+$1.1M
2023-24CBJ351910-80400451142716381.74+0.816:08-0.7-0.12:04-0.10:03+0.1+0.0-1.4+2.1+0.0-0.0+0.8-8+0.7Trocheck4.1%-2.1Werenski59%Gaudreau42%Jenner32%Marchenko27%$2.60M3.1%$3.4M4.1%+$0.8M
2024-25FLANYI3541014-910600401319421313.27+0.911:59-0.3+0.02:01-0.10:03+0.3+0.3-1.2+1.1+0.0-0.0+1.1-9+0.1Miller4.7%-0.2Schmidt24%Verhaeghe19%Pageau16%Holmstrom15%$0.78M0.9%$3.8M4.4%+$3.1M
2025-26NYI28044-98100171123511351.87+0.712:32-0.4-0.10:26-0.10:07+0.2+0.0-1.3+1.0+0.0-0.0+0.0-5-0.9Myers5.2%-2.1Mayfield47%Barzal27%Heineman26%Cizikas25%$0.85M0.9%$3.1M3.2%+$2.2M
2019-20CHI414913-362015033431026612.24+0.314:02-0.3+0.02:10-0.00:01+0.1-0.4-0.2+1.2+0.0-0.0+0.61516-0.1Edler4.0%-1.0Keith62%Kane38%Toews35%Dach34%$0.89M1.1%$3.5M4.3%+$2.6M
2020-21CHI7662329-1020100189627217471082.83+0.413:32-0.3-0.23:22-0.00:03-0.0-0.1-0.3+1.6+0.0-0.0+1.01504+0.1McDonagh5.5%-2.5Keith51%Kane44%DeBrincat22%Toews19%$0.89M1.1%$3.4M4.2%+$2.6M
2021-22CBJ128173451-213216021538811928751590/12.42+0.415:04-0.3-0.41:55-0.10:02+0.3-0.6-0.2+1.5+0.0-0.0+0.61504-0.1McDonagh3.2%-1.6Keith30%Kane26%DeBrincat13%Voracek13%$0.89M1.1%$3.4M4.2%+$2.6M
2022-23CBJ174225375-3340250322111116639992050/12.46+0.615:32-0.4-0.33:03-0.10:02+0.3-0.2-1.0+1.7+0.0-0.0+0.71495-0.1McDonagh2.3%-1.6Keith22%Kane18%Gaudreau12%Marchenko10%$1.32M1.6%$3.5M4.3%+$2.2M
2023-24CBJ209236285-41402903266122208461152430/12.30+0.716:08-0.5-0.22:04-0.10:03+0.2-0.1-1.4+1.9+0.0-0.0+0.51487+0.0McDonagh1.9%-1.7Keith18%Gaudreau17%Kane15%Jenner14%$1.58M1.9%$3.5M4.2%+$1.9M
2024-25FLANYI244277299-50503503306135227501362740/12.40+0.711:59-0.4-0.12:01-0.10:03+0.3+0.1-1.3+1.6+0.0-0.0+0.81481+0.1McDonagh1.7%-1.5Keith16%Gaudreau15%Kane13%Jenner12%$1.44M1.7%$3.5M4.3%+$2.1M
2025-26NYI2722776103-59583603323146250551473090/12.36+0.712:32-0.4-0.20:26-0.10:07+0.2+0.3-1.6+1.4+0.0-0.0+0.51480-0.0McDonagh1.5%-1.6Keith14%Gaudreau14%Kane12%Jenner11%$1.36M1.6%$3.5M4.1%+$2.1M
SeasonTeamBox scoreNet goals per 84 games
GPGAP+/−PIMPPPSHPGWGSOGHITBLKTKGVHITTEV offEV defPPPKFinPlaySuppPenFOSOOverall
2019-20CHI8000-5400071084611+0.8-2.7-0.2-0.7-3.1-3.4-1.5-2.6+0.0+0.0-13.5
2019-20CHI8000-5400071084611+0.8-2.7-0.2-0.7-3.1-3.4-1.5-2.6+0.0+0.0-13.5

Game log

Every regular-season game, one night at a time: the box score, then the net goals that game added to his rating, by component, in goals. The season table above shows the same per 84 games. Click a column to sort.

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2026-27 projection

How it was builthis last five seasons, aged, weighted by recency, shrunk toward a prior

+0.8 NG/84 · 79 projected GP → +0.7 net goals over the season

The seasons behind it (NG/84)
SeasonGPNG/84Age adjAged
2021-2252+1.35-0.09+1.27
2022-2346+3.87-0.32+3.55
2023-2435-0.32-0.42-0.74
2024-2535+3.60-0.38+3.22
2025-2628-4.07-0.17-4.24
Component by component (NG/84)
His rateMemorynPriorTrustProjected
EV offense+1.011.2 yr113+0.1379%+0.82
EV defense-0.270.7 yr68-0.1745%-0.21
Power play+0.220.9 yr88-0.0658%+0.11
Penalty kill+0.011.2 yr113-0.1450%-0.06
Finishing+0.544.3 yr186+0.0856%+0.34
Playmaking+0.474.3 yr186+0.1993%+0.45
Suppression-1.310.9 yr88-0.00100%-1.31
Penalties+0.764.3 yr186+0.0684%+0.65
Faceoffs+0.000.9 yr88+0.0087%+0.00
Shootout-0.1313.5 yr195-0.011%-0.01
NG/84+1.31+0.07+0.76

1. Age. Every past season is first moved to his 2026-27 age along each component's career curve (Age adj: what a typical player gains or loses between that age and this one). Games from 2026-27 so far count like 2025-26 games, with no age adjustment. 2. Recency. Per component, the seasons are averaged with weights that fall off with age; Memory is the half-life in seasons, fitted walk-forward (penalty kill and EV defense change fast, finishing and playmaking slowly). 3. Shrinkage. Each component is pulled toward the average defenseman who reached the NHL at 19 or younger (Prior). Trust = n / (n + K): n is the effective number of games behind the weighted rate, K how many games of evidence that component needs before it outweighs the prior (fitted walk-forward on 2013-2025-26 seasons, then every K is multiplied by 0.5: shrinking the ten components one at a time ignores that a player above the prior in one is usually above it in the others, which compressed the total by about a fifth). Projected = Trust × his rate + (1 − Trust) × Prior. The ten projected components add up to his NG/84, the number the standings simulation dresses him at. Proj GP = games played so far plus the games the standings simulation dresses him for (injuries from ESPN return dates; goalies split 65/35 starter/backup).

Over time

84-game formtrailing net goals/84
'20'21'22'23'24'25'26BWCHICBJFLANYI+4.0-1.3-0.3
Career net goalsrunning total vs a league-average player
'20'21'22'23'24'25'26CHICBJFLANYI+4+3
84-game stretcheshis best and worst windows of the form line
GAPPPP+/−TOI/GPPen takenPen drawnFO%Team W-L-OTL
Best+4.0Nov 22 ’21 – Mar 25 ’2315294415-1517:33910—31-47-6
Worst-1.3Nov 2 ’19 – Nov 20 ’217233010-1216:341023—42-37-5

Games and opponents

Single-game net goalsshare of his 272 games by that night’s total
10%20%-1.00 to -0.90 net goals: 0.4% of games (1)-0.70 to -0.60 net goals: 0.4% of games (1)-0.60 to -0.50 net goals: 0.7% of games (2)-0.50 to -0.40 net goals: 1.5% of games (4)-0.40 to -0.30 net goals: 1.8% of games (5)-0.30 to -0.20 net goals: 8.1% of games (22)-0.20 to -0.10 net goals: 12.5% of games (34)-0.10 to +0.00 net goals: 27.6% of games (75)+0.00 to +0.10 net goals: 22.8% of games (62)+0.10 to +0.20 net goals: 11.0% of games (30)+0.20 to +0.30 net goals: 4.0% of games (11)+0.30 to +0.40 net goals: 2.2% of games (6)+0.40 to +0.50 net goals: 1.1% of games (3)+0.50 to +0.60 net goals: 1.8% of games (5)+0.60 to +0.70 net goals: 1.8% of games (5)+0.70 to +0.80 net goals: 0.7% of games (2)+0.80 to +0.90 net goals: 0.4% of games (1)+1.00 to +1.10 net goals: 0.4% of games (1)+1.20 to +1.30 net goals: 0.7% of games (2)-2-10+1+2+3mean +0.0243%above 053%below 0
Best game +1.29 net goals · Feb 18, 2023 at DAL (W 4–1) · Game recap →
Vs competition quartilescareer at 5v5, opposing fives ranked by average net goals/84
NET GOALS/84 VS AVERAGE, SAME QUARTILESHARE OF 5v5 TIME■ HOME ■ AWAYvs Q4 Toughestopposing five avg +2.0Career vs Q4: +1.2 net goals/84 above an average defenseman facing the same quartile; 766 min = 21% of his 5v5. Goals in those minutes: EV off +0.6, EV def -2.5, finishing +1.8, playmaking/suppression share -0.6; on-ice xGF% 42.5 (league 45.1), goals 41-52+1.2Home games: 352 of 1,684 career 5v5 min vs Q4 (20.9%; 25% = the league-wide split; all games 20.8%)21%Away games: 414 of 1,992 career 5v5 min vs Q4 (20.8%; 25% = the league-wide split; all games 20.8%)21%vs Q3 Toughopposing five avg +0.5Career vs Q3: -1.0 net goals/84 above an average defenseman facing the same quartile; 903 min = 25% of his 5v5. Goals in those minutes: EV off -0.3, EV def -1.7, finishing +1.6, playmaking/suppression share -0.8; on-ice xGF% 42.2 (league 49.0), goals 35-52-1.0Home games: 403 of 1,684 career 5v5 min vs Q3 (23.9%; 25% = the league-wide split; all games 24.6%)24%Away games: 500 of 1,992 career 5v5 min vs Q3 (25.1%; 25% = the league-wide split; all games 24.6%)25%vs Q2 Easyopposing five avg -0.4Career vs Q2: +1.0 net goals/84 above an average defenseman facing the same quartile; 984 min = 27% of his 5v5. Goals in those minutes: EV off -0.4, EV def -0.6, finishing +3.0, playmaking/suppression share -1.0; on-ice xGF% 48.7 (league 51.3), goals 43-43+1.0Home games: 434 of 1,684 career 5v5 min vs Q2 (25.8%; 25% = the league-wide split; all games 26.8%)26%Away games: 550 of 1,992 career 5v5 min vs Q2 (27.6%; 25% = the league-wide split; all games 26.8%)28%vs Q1 Easiestopposing five avg -1.3Career vs Q1: -2.5 net goals/84 above an average defenseman facing the same quartile; 1,024 min = 28% of his 5v5. Goals in those minutes: EV off +0.7, EV def -0.1, finishing +0.1, playmaking/suppression share -1.1; on-ice xGF% 51.8 (league 55.3), goals 56-48-2.5Home games: 495 of 1,684 career 5v5 min vs Q1 (29.4%; 25% = the league-wide split; all games 27.8%)29%Away games: 528 of 1,992 career 5v5 min vs Q1 (26.5%; 25% = the league-wide split; all games 27.8%)27%25% = even−12.60+12.6

Plus/minus by situation

+/− by manpowerthe official +/- split by situation; goalie-in +/- leaves out the empty nets
Even strengthPower playPenalty killGoalie pulled
SeasonTeamGP+/−5v54v43v35v45v34v34v53v53v46v55v6OtherGoalie in
2019-20CHI41-3+5-1-1-100000-40-1+1
2020-21CHI35-7-200-300000-200-5
2021-22CBJ52-11-4+10000000-800-3
2022-23CBJ46-12-70+2-300000-400-8
2023-24CBJ35-8-20-1-100000-400-4
2024-25FLA/NYI35-9-200-200000-500-4
2025-26NYI28-9-900-10000000+1-9
Total272-59-2100-1100000-2700-32

How each state adds to the official +/-: at even strength every goal counts; on his power play only a shorthanded goal against counts (a minus), on his penalty kill only a shorthanded goal for (a plus). Other is whatever the official +/- has left, so each row adds up: mostly empty-net goals against while his team pulled its goalie on a power play (6-on-4). Goalie in = the official +/- without 6v5 and 5v6. 6v5 and 5v6 +/- do not carry over from season to season (r 0.02 and 0.15): they mostly show who is sent out when a goalie is pulled. Since 2010-11; hover a cell for minutes and the goals behind it.

Shots

Shot mixhis shots on goal by type and location, 2010-11 on
ShareTotal shotsAvg dist (ft)xGGG/xGNet goals/84
Wrist64%2064413.4110.82-0.8
Snap16%52404.781.72–
Slap16%53513.761.63–
Backhand4%12171.221.73–
Total3234322.9271.18+1.3

The rink is drawn from his side: he attacks left to right, his left on top. Right half: where his own shots come from. Left half: where he blocks shots (blocks carry no shot type, so that half ignores the type buttons). Blue = a bigger share of those shots from that zone than the league average for defensemen in the same situation (and shot type, when one is picked); red = a smaller share.

5. Boqvist hammers PPG — 0.041 xG slap · Mar 8, 2025 at SJS on Alexandar Georgiev — watch the clip54. CAR@FLA: Boqvist scores goal against Spencer Martin — 0.038 xG backhand · Nov 30, 2024 vs CAR on Spencer Martin — watch the clip43. Boqvist snipes first NHL goal — 0.030 xG wrist · Nov 3, 2019 at ANA on Ryan Miller — watch the clip32. Boqvist responds with PPG — 0.023 xG wrist · Mar 25, 2022 at WPG on Eric Comrie — watch the clip21. Boqvist's shot finds home — 0.010 xG wrist · Feb 4, 2020 at MIN on Alex Stalock — watch the clip1HIS OWN ZONE · SHOTS HE BLOCKEDATTACKING ZONE · HIS SHOTS
his blocked shots vs defensemen · n=244 · ±0.30pphis shots on goal vs defensemen · n=310 · ±0.30pp
Best finishes on videohis lowest-xG goals with a highlight clip (2018-19 on), starred on the rink above
xGHighlightDateOppGoalieSitShot
★10.010Boqvist's shot finds home ▸Feb 4, 2020at MINAlex StalockEVWrist
★20.023Boqvist responds with PPG ▸Mar 25, 2022at WPGEric ComriePPWrist
★30.030Boqvist snipes first NHL goal ▸Nov 3, 2019at ANARyan MillerEVWrist
★40.038CAR@FLA: Boqvist scores goal against Spencer Martin ▸Nov 30, 2024vs CARSpencer MartinEVBackhand
★50.041Boqvist hammers PPG ▸Mar 8, 2025at SJSAlexandar GeorgievPPSlap

Goalie matchups

Career G − xG by goaliegoalies he has scored on most and least relative to xG
Most success against
GoalieGmSOGGxGG−xG
Adin Hill2520.4+1.6
Charlie Lindgren2620.6+1.4
Ville Husso4820.7+1.3
Least success against
GoalieGmSOGGxGG−xG
Igor Shesterkin61201.0-1.0
Frederik Andersen51100.9-0.9
Connor Hellebuyck51100.8-0.8