Tonight: 9 gamesModel estimates, not official NHL statistics
puckmodel
ANABOSBUFCARCBJCGYCHICOLDALDETEDMFLALAKMINMTLNJDNSHNYINYROTTPHIPITSEASJSSTLTBLTORUTAVANVGKWPGWSHUFA
Detroit Red Wings › Simon Edvinsson
Simon Edvinsson
D · #77 · DET · 23 · Top-pair puck-mover · Steady (82nd pct)
Average career stats over an 84-game season
9
G
20
A
29
P
+8
+/−
76
PIM
21:09
TOI/GP
0:16
PP TOI/GP
1:28
SH TOI/GP
SeasonTeamTypeGPBox scoreNet goals per 84 gamesEloOn-ice contextContract
GAP+/−PIMEV offEV defPPPKFinPlaySuppPenFOSOOverallCompTop oppMatesTop linematesCap hit% of capNG/84
per $M
2023-24DET16112+04-2.317:01+0.7-0.10:01-1.61:12+1.2+0.3-0.6+1.3+0.0-0.0-1.1-2+0.6Strome 6%-0.3Petry 76%Compher 32%Raymond 30%Larkin 30%$0.89M1.1%-1.27
2024-25DET7872431+1267-1.119:10-0.9+0.40:23+0.01:32+0.3+0.5-0.4-1.0+0.0+0.0-2.0+14+1.0Thompson 2%+0.4Seider 35%Johansson 32%Larkin 31%Raymond 29%$0.89M1.0%-2.21
2025-26DET7291625+1275+1.720:31+0.5-0.90:14+0.51:35+0.5-0.6-0.8-1.9+0.0+0.0-1.0-8+0.8Moser 2%+2.0Seider 75%Larkin 31%Raymond 30%DeBrincat 28%$0.89M0.9%-1.14
2023-24DET16112+04-0.317:01+0.1-0.00:01-0.11:12+0.0+0.0-0.4+0.2-0.0-0.0-0.5-2+0.6Strome 6%-0.3Petry 76%Compher 32%Raymond 30%Larkin 30%$0.89M1.1%-0.57
2024-25DET7872431+1267-0.719:10-0.3+0.20:23-0.01:32+0.1+0.3-0.3-0.4+0.0+0.0-1.2+14+1.0Thompson 2%+0.4Seider 35%Johansson 32%Larkin 31%Raymond 29%$0.89M1.0%-1.30
2025-26DET7291625+1275+0.420:31+0.1-0.30:14+0.11:35+0.1-0.2-0.7-1.0+0.0+0.0-1.5-8+0.8Moser 2%+2.0Seider 75%Larkin 31%Raymond 30%DeBrincat 28%$0.89M0.9%-1.66
2023-24DET16314-716-0.317:01+0.0-0.00:01-0.11:12+0.0+0.0+0.5+0.2-0.0-0.0+0.41493+0.5Strome 4%-0.9Petry 50%Larkin 28%Compher 21%Raymond 20%$0.91M1.1%+0.47
2024-25DET94102535+583-0.619:10-0.2+0.10:23-0.01:32+0.1+0.2+0.2-0.3+0.0-0.0-0.51508+0.9Thompson 2%+0.1Larkin 30%Seider 28%Raymond 27%Johansson 25%$0.90M1.1%-0.58
2025-26DET166194160+17158+0.020:31-0.0-0.10:14+0.01:35+0.1+0.0-0.7-0.8+0.0-0.0-1.41499+0.8Rielly 1%+0.9Seider 48%Larkin 30%Raymond 28%Johansson 14%$0.90M1.0%-1.52
NHL Edge — tracking, 2021-22 on
SeasonShot mphSpeed mph22+ /GP20–22 /GP18–20 /GPMiles /60
2023-240.000.23.68.4
2024-2590.721.70.000.53.28.3
2025-2688.822.20.010.33.28.2

2026-27 projection

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

-0.8 NG/84 · 80 projected GP → -0.7 net goals over the season

The seasons behind it (NG/84)
SeasonGPNG/84Age adjAged
2023-2416-1.02+0.60-0.42
2024-2578-2.28+0.31-1.97
2025-2672-0.78+0.06-0.72
Component by component (NG/84)
His rateMemorynPriorTrustProjected
EV offense+0.741.2 yr148+0.1671%+0.57
EV defense+0.060.7 yr125+0.0343%+0.04
Power play-0.350.9 yr138-0.0448%-0.19
Penalty kill+0.351.2 yr148+0.0142%+0.15
Finishing+0.404.3 yr164+0.0737%+0.19
Playmaking-0.022.4 yr161+0.2285%+0.02
Suppression-0.620.9 yr138+0.00100%-0.62
Penalties-1.454.3 yr164+0.2569%-0.93
Faceoffs+0.000.9 yr138-0.0084%+0.00
Shootout+0.0513.5 yr166+0.000%+0.00
NG/84-0.83+0.70-0.76

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 20 (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
'23'24'25'26BW-0.7-2.8-2.1
Career net goalsrunning total vs a league-average player
'23'24'25'26+0-4
84-game stretcheshis best and worst windows of the form line
GAPPPP+/−TOI/GPPen takenPen drawnFO%Team W-L-OTL
Best-0.7Dec 27 ’23 – Mar 29 ’25823310+820:281813—41-34-9
Worst-2.8Nov 23 ’24 – Dec 2 ’25822300+721:203517—44-32-8

Games and opponents

Single-game net goalsshare of his 175 games by that night’s total
5%10%15%20%-1.00 to -0.90 net goals: 0.6% of games (1)-0.70 to -0.60 net goals: 1.7% of games (3)-0.50 to -0.40 net goals: 2.9% of games (5)-0.40 to -0.30 net goals: 5.7% of games (10)-0.30 to -0.20 net goals: 8.6% of games (15)-0.20 to -0.10 net goals: 14.9% of games (26)-0.10 to +0.00 net goals: 22.3% of games (39)+0.00 to +0.10 net goals: 16.6% of games (29)+0.10 to +0.20 net goals: 12.6% of games (22)+0.20 to +0.30 net goals: 5.1% of games (9)+0.30 to +0.40 net goals: 3.4% of games (6)+0.40 to +0.50 net goals: 1.1% of games (2)+0.50 to +0.60 net goals: 0.6% of games (1)+0.60 to +0.70 net goals: 1.1% of games (2)+0.70 to +0.80 net goals: 0.6% of games (1)+1.20 to +1.30 net goals: 1.1% of games (2)+1.70 to +1.80 net goals: 0.6% of games (1)+1.90 to +2.00 net goals: 0.6% of games (1)-2-10+1+2+3mean -0.0041%above 057%below 0
Best game +1.92 net goals · Dec 28, 2025 vs TOR (W 3–2 OT) · 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: +2.2 net goals/84 above an average defenseman facing the same quartile; 854 min = 28% of his 5v5. Goals in those minutes: EV off -0.6, EV def -1.1, finishing +1.8, playmaking/suppression share -0.6; on-ice xGF% 44.0 (league 45.5), goals 36-43+2.2Home games: 434 of 1,506 career 5v5 min vs Q4 (28.8%; 25% = the league-wide split; all games 28.0%)29%Away games: 420 of 1,546 career 5v5 min vs Q4 (27.2%; 25% = the league-wide split; all games 28.0%)27%vs Q3 Toughopposing five avg +0.5Career vs Q3: -1.5 net goals/84 above an average defenseman facing the same quartile; 805 min = 26% of his 5v5. Goals in those minutes: EV off -0.4, EV def -0.4, finishing +0.3, playmaking/suppression share -0.6; on-ice xGF% 46.9 (league 49.2), goals 34-36-1.5Home games: 379 of 1,506 career 5v5 min vs Q3 (25.2%; 25% = the league-wide split; all games 26.4%)25%Away games: 426 of 1,546 career 5v5 min vs Q3 (27.5%; 25% = the league-wide split; all games 26.4%)28%vs Q2 Easyopposing five avg -0.4Career vs Q2: -3.5 net goals/84 above an average defenseman facing the same quartile; 746 min = 24% of his 5v5. Goals in those minutes: EV off +0.1, EV def +1.0, finishing -1.9, playmaking/suppression share -0.5; on-ice xGF% 55.2 (league 50.9), goals 22-23-3.5Home games: 364 of 1,506 career 5v5 min vs Q2 (24.2%; 25% = the league-wide split; all games 24.4%)24%Away games: 382 of 1,546 career 5v5 min vs Q2 (24.7%; 25% = the league-wide split; all games 24.4%)25%vs Q1 Easiestopposing five avg -1.3Career vs Q1: +0.3 net goals/84 above an average defenseman facing the same quartile; 648 min = 21% of his 5v5. Goals in those minutes: EV off +0.2, EV def +1.3, finishing +0.3, playmaking/suppression share -0.5; on-ice xGF% 58.0 (league 55.2), goals 32-14+0.3Home games: 329 of 1,506 career 5v5 min vs Q1 (21.8%; 25% = the league-wide split; all games 21.2%)22%Away games: 319 of 1,546 career 5v5 min vs Q1 (20.6%; 25% = the league-wide split; all games 21.2%)21%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
2022-23DET9-7-700000000000-7
2023-24DET1600000000000000
2024-25DET78+12+60-1000000-2+90+5
2025-26DET72+12+1+1+1000+300-2+80+6
Total175+170+10000+300-4+170+4

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
Wrist49%92584.581.77–
Snap24%45473.041.33–
Slap16%30541.421.42–
Backhand7%14371.110.89–
Tip-in2%3100.50––
Deflection2%3680.30––
Other1%170.10––
Total1885211.0151.37+2.0

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.

Best finishes on videohis lowest-xG goals with a highlight clip (2018-19 on), starred on the rink above
xGHighlightDateOppGoalieSitShot
★10.009Edvinsson kicks off the scoring ▸Mar 23, 2023vs STLJoel HoferEVWrist
★20.010Edvinsson scores goal ▸Apr 6, 2023vs BUFDevon LeviEVWrist
★30.013Edvinsson nets go-ahead goal ▸Oct 25, 2025vs STLJordan BinningtonEVWrist
★40.026TOR@DET: Edvinsson scores goal against Joseph Woll ▸Dec 27, 2024vs TORJoseph WollEVWrist
★50.027DET@MIN: Edvinsson scores goal against Filip Gustavsson ▸Feb 25, 2025at MINFilip GustavssonEVSlap

Goalie matchups

Career G − xG by goaliegoalies he has scored on most and least relative to xG
Most success against
GoalieGmSOGGxGG−xG
Filip Gustavsson2320.1+1.9
Joseph Woll4620.4+1.6
Devon Levi1110.0+1.0
Least success against
GoalieGmSOGGxGG−xG
Jeremy Swayman5700.7-0.7
Arvid Soderblom2600.6-0.6
Jonathan Quick4800.6-0.6