Tonight: 9 gamesModel estimates, not official NHL statistics
puckmodel
ANABOSBUFCARCBJCGYCHICOLDALDETEDMFLALAKMINMTLNJDNSHNYINYROTTPHIPITSEASJSSTLTBLTORUTAVANVGKWPGWSHUFA
Detroit Red Wings › Sheldon Dries
Sheldon Dries
C · #15 · DET · 32 · Checking-line PK forward
Average career stats over an 84-game season
11
G
7
A
17
P
-13
+/−
39
PIM
10:11
TOI/GP
0:49
PP TOI/GP
0:31
SH TOI/GP
SeasonTeamTypeGPBox scoreNet goals per 84 gamesEloPlayoffsOn-ice contextContract
GAP+/−PIMEV offEV defPPPKFinPlaySuppPenFOSOOverallCompTop oppMatesTop linematesCap hit% of capNG/84
per $M
2018-19COL40336-726-1.58:01+0.5+0.10:04+0.70:58-1.4-2.2-0.4-0.8+0.0+0.0-4.9-15-0.1Pettersson5%-1.5Calvert34%Nemeth32%Johnson32%Cole31%$0.93M1.2%-5.34
2021-22VAN11213-30+0.89:22+0.9-0.10:55+0.10:00+0.7-1.7-0.3+1.0-0.5-0.0+0.8+4-0.4Kulak7%-1.9Ekman-Larsson38%Hunt38%Petan37%Richardson35%$0.75M0.9%+1.06
2022-23VAN6311617-929-1.29:41+0.2-0.51:27-0.20:23+0.3-1.9-0.4-0.2-0.0-0.0-3.9+1-0.4Zadorov3%-0.6Garland41%Myers32%Hughes30%Boeser25%$0.76M0.9%-5.16
2018-19COL40336-726-0.58:01+0.1+0.00:04+0.10:58-0.1-0.8-0.3-0.3+0.0-0.0-1.7-15-0.1Pettersson5%-1.5Calvert34%Nemeth32%Johnson32%Cole31%$0.93M1.2%-1.82
2021-22VAN11213-30-0.49:22+0.1-0.00:55+0.10:00-0.1-1.0-0.2-0.1-0.1-0.0-1.7+4-0.4Kulak7%-1.9Ekman-Larsson38%Hunt38%Petan37%Richardson35%$0.75M0.9%-2.28
2022-23VAN6311617-929-0.79:41+0.1-0.21:27+0.00:23-0.0-1.4-0.4-0.2-0.0-0.0-2.8+1-0.4Zadorov3%-0.6Garland41%Myers32%Hughes30%Boeser25%$0.76M0.9%-3.70
2018-19COL40336-726-0.58:01+0.1+0.00:04+0.10:58-0.1-0.9-0.1-0.3+0.0-0.0-1.71485-0.1Pettersson5%-1.5Calvert34%Nemeth32%Johnson32%Cole31%$0.93M1.2%-1.87
2021-22VAN51549-1130-0.49:22+0.1+0.00:55+0.10:00-0.1-1.0-0.3-0.2-0.1-0.0-1.81496+0.01 GP-0.2Pettersson3%-1.4Cole24%Calvert23%Nemeth22%Johnson21%$0.80M1.0%-2.26
2022-23VAN114161026-2059-0.79:41+0.1-0.11:27+0.00:23-0.1-1.4-0.4-0.2-0.0-0.0-2.61498+0.01 GP-0.3Zadorov2%-0.9Garland24%Myers19%Hughes17%Boeser14%$0.79M1.0%-3.28
SeasonTeamGPBox scoreNet goals per 84 games
GAP+/−PIMEV offEV defPPPKFinPlaySuppPenFOSOOverall
2019-20COL1000+00+1.1+5.3+0.0+0.1-1.9-4.2-0.0-0.4-0.0-0.0+0.0
2019-20COL1000+00+1.1+5.3+0.0+0.1-1.9-4.2-0.0-0.4+0.0-0.0+0.0
NHL Edge — tracking, 2021-22 on
SeasonShot mphSpeed mph22+ /GP20–22 /GP18–20 /GPMiles /60
2021-220.000.55.510.0
2022-2385.322.30.051.36.29.9
Faceoff role
SeasonC GP%OZ FO%DZ FO%
2018-1962%3.7%6.1%
2021-2227%5.2%2.2%
2022-2387%13.5%10.9%
Career73%9.0%8.6%

Game log

Every regular-season game: 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.

Loading games…

2026-27 projection

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

-4.1 NG/84

The seasons behind it (NG/84)
SeasonGPNG/84Age adjAged
2021-2211+0.71-2.56-1.85
2022-2363-4.07-2.07-6.14
Component by component (NG/84)
His rateMemorynPriorTrustProjected
EV offense-1.711.2 yr72-0.6054%-1.20
EV defense+0.240.7 yr69+0.1929%+0.20
Power play-0.700.9 yr71-0.0732%-0.28
Penalty kill-0.201.2 yr72-0.0526%-0.09
Finishing-0.034.3 yr74-0.3021%-0.24
Playmaking-2.462.4 yr73-0.4872%-1.91
Suppression-0.290.9 yr71-0.00100%-0.29
Penalties-0.394.3 yr74-0.0951%-0.24
Faceoffs-0.010.9 yr71-0.0573%-0.02
Shootout-0.1613.5 yr74-0.040%-0.04
NG/84-5.73-1.49-4.12

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 forward who reached the NHL at 24 or older (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). 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
'19'20'22'23'26BW-2.9-4.6-3.6
Career net goalsrunning total vs a league-average player
'19'20'22'23'26-0-6
84-game stretcheshis best and worst windows of the form line
GAPPPP+/−TOI/GPPen takenPen drawnFO%Team W-L-OTL
Best-2.9Jan 21 ’19 – Mar 23 ’23137206-1310:25121251.142-32-10
Worst-4.6Nov 7 ’18 – Feb 6 ’2397164-2010:01141250.239-33-12

Games and opponents

Single-game net goalsshare of his 127 games by that night’s total
10%20%30%-0.60 to -0.50 net goals: 1.6% of games (2)-0.50 to -0.40 net goals: 3.1% of games (4)-0.40 to -0.30 net goals: 6.3% of games (8)-0.30 to -0.20 net goals: 7.1% of games (9)-0.20 to -0.10 net goals: 19.7% of games (25)-0.10 to +0.00 net goals: 33.1% of games (42)+0.00 to +0.10 net goals: 11.8% of games (15)+0.10 to +0.20 net goals: 5.5% of games (7)+0.20 to +0.30 net goals: 3.9% of games (5)+0.30 to +0.40 net goals: 4.7% of games (6)+0.40 to +0.50 net goals: 0.8% of games (1)+0.60 to +0.70 net goals: 2.4% of games (3)-2-10+1+2+3mean -0.0626%above 071%below 0
Best game +0.64 net goals · Nov 23, 2022 at COL (W 4–3) · 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: -0.4 net goals/84 above an average forward facing the same quartile; 172 min = 17% of his 5v5. Goals in those minutes: EV off -0.6, EV def -0.1, finishing +0.5, playmaking/suppression share -0.2; on-ice xGF% 33.2 (league 45.4), goals 6-15-0.4Home games: 85 of 565 career 5v5 min vs Q4 (15.1%; 25% = the league-wide split; all games 17.0%)15%Away games: 87 of 450 career 5v5 min vs Q4 (19.4%; 25% = the league-wide split; all games 17.0%)19%vs Q3 Toughopposing five avg +0.5Career vs Q3: -2.5 net goals/84 above an average forward facing the same quartile; 249 min = 25% of his 5v5. Goals in those minutes: EV off -0.6, EV def -0.4, finishing +0.3, playmaking/suppression share -0.3; on-ice xGF% 39.1 (league 48.9), goals 8-12-2.5Home games: 140 of 565 career 5v5 min vs Q3 (24.8%; 25% = the league-wide split; all games 24.5%)25%Away games: 109 of 450 career 5v5 min vs Q3 (24.2%; 25% = the league-wide split; all games 24.5%)24%vs Q2 Easyopposing five avg -0.4Career vs Q2: -5.9 net goals/84 above an average forward facing the same quartile; 278 min = 27% of his 5v5. Goals in those minutes: EV off -0.4, EV def +0.6, finishing -1.9, playmaking/suppression share -0.3; on-ice xGF% 53.9 (league 51.0), goals 11-10-5.9Home games: 151 of 565 career 5v5 min vs Q2 (26.7%; 25% = the league-wide split; all games 27.3%)27%Away games: 127 of 450 career 5v5 min vs Q2 (28.1%; 25% = the league-wide split; all games 27.3%)28%vs Q1 Easiestopposing five avg -1.3Career vs Q1: -8.5 net goals/84 above an average forward facing the same quartile; 316 min = 31% of his 5v5. Goals in those minutes: EV off -0.5, EV def +0.7, finishing -2.8, playmaking/suppression share -0.4; on-ice xGF% 50.9 (league 55.6), goals 10-13-8.5Home games: 189 of 565 career 5v5 min vs Q1 (33.4%; 25% = the league-wide split; all games 31.2%)33%Away games: 127 of 450 career 5v5 min vs Q1 (28.3%; 25% = the league-wide split; all games 31.2%)28%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
2018-19COL40-7-700000+100-100-6
2019-20COL5-2-200000000000-2
2020-21COL3+1+100000000000+1
2021-22VAN11-3-200000000-100-2
2022-23VAN63-9-600-400+100000-9
2025-26DET500000000000000
Total127-20-1600-400+200-200-18

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
Wrist51%82337.960.76–
Snap10%16341.800.00–
Slap2%4470.20––
Backhand15%24162.220.89–
Tip-in14%23214.151.21–
Deflection3%5160.81––
Other4%680.62––
Total1602817.7160.91-1.2

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 forwards in the same situation (and shot type, when one is picked); red = a smaller share.

Best finishes on videohis lowest-xG goals with a highlight clip (2018-19 on), starred on the rink above
xGHighlightDateOppGoalieSitShot
★10.054Dries tips home his first goal ▸Nov 1, 2018at CGYMike SmithEVTip-in
★20.065Dries tips PPG up past Vejmelka ▸Apr 14, 2022vs ARIKarel VejmelkaPPTip-in
★30.076Dries kicks off scoring ▸Apr 26, 2022vs SEAJoey DaccordEVWrist
★40.081Dries picks the corner ▸Dec 14, 2022at CGYJacob MarkstromEVWrist
★50.091Dries starts Canucks off ▸Dec 31, 2022at CGYJacob MarkstromEVOther

Goalie matchups

Career G − xG by goaliegoalies he has scored on most and least relative to xG
Most success against
GoalieGmSOGGxGG−xG
Jacob Markstrom71431.5+1.5
Mike Smith1110.1+0.9
Joey Daccord1210.2+0.8
Least success against
GoalieGmSOGGxGG−xG
Filip Gustavsson1600.8-0.8
Alexandar Georgiev3700.7-0.7
Marc-Andre Fleury2600.7-0.7

Faceoffs

Faceoffs by dotcareer since 2018-19, shoots L
OWN ZONENEUTRAL ZONEATTACKING ZONE →Own-zone left: 48-46 (51.1%, league 52.6%); 14.4% of his draws, league 15.4%51.1%-1.614% · lg 15%Own-zone right: 50-53 (48.5%, league 47.2%); 15.8% of his draws, league 19.4%48.5%+1.316% · lg 19%Neutral, own side, left: 8-10 (44.4%, league 52.4%); 2.8% of his draws, league 3.0%—3% · lg 3%Neutral, own side, right: 6-11 (35.3%, league 45.1%); 2.6% of his draws, league 2.9%—3% · lg 3%Centre ice: 81-76 (51.6%, league 50.0%); 24.1% of his draws, league 18.6%51.6%+1.624% · lg 19%Neutral, attacking side, left: 21-8 (72.4%, league 55.1%); 4.5% of his draws, league 2.9%72.4%+17.34% · lg 3%Neutral, attacking side, right: 7-12 (36.8%, league 47.7%); 2.9% of his draws, league 3.0%—3% · lg 3%Attacking-zone left: 70-73 (49.0%, league 52.8%); 22.0% of his draws, league 19.4%49.0%-3.822% · lg 19%Attacking-zone right: 30-41 (42.3%, league 47.4%); 10.9% of his draws, league 15.4%42.3%-5.211% · lg 15%

49.3% won -1.1

651 draws; the league wins 50.4% at the dots he takes

Draw mixHis drawsLeague
Own zone30%35%
Neutral37%30%
Attacking33%35%

Drawn from his side: he attacks left to right, his left at the top. Circle: his win% at that dot, colored by how far it sits above (blue) or below (red) the league there, the small number (±10 scale). Bar: his share of all his draws taken there, the tick the league share (0–30% of his draws; 0–60% on the power play and penalty kill).