Tonight: 8 gamesModel estimates, not official NHL statistics
puckmodel
ANABOSBUFCARCBJCGYCHICOLDALDETEDMFLALAKMINMTLNJDNSHNYINYROTTPHIPITSEASJSSTLTBLTORUTAVANVGKWPGWSHUFA
Utah Mammoth › Dmitri Simashev
Dmitri Simashev
D · #26 · UTA · 21
Average career stats over an 84-game season
0
G
3
A
3
P
-33
+/−
69
PIM
15:06
TOI/GP
0:01
PP TOI/GP
0:10
SH TOI/GP
SeasonTeamTypeGPBox scoreNet goals per 84 gamesEloOn-ice contextContract
GAP+/−PIMEV offEV defPPPKFinPlaySuppPenFOSOOverallCompMatesTop linematesCap hit% of capNG/84
per $M
2025-26UTA28011-1123-1.114:54-0.3-0.10:01-0.20:10-2.9-1.0-1.3-0.5+0.0+0.0-7.4-10+0.8+1.8Sergachev 48%Peterka 33%Keller 33%Cooley 32%$0.95M1.0%-7.79
2025-26UTA28011-1123-0.314:54-0.1-0.00:01-0.00:10-0.1-0.9-0.9-0.1-0.0-0.0-2.5-10+0.8+1.8Sergachev 48%Peterka 33%Keller 33%Cooley 32%$0.95M1.0%-2.61
2025-26UTA28011-1123-0.314:54-0.0-0.00:01-0.00:10-0.1-0.6-1.2-0.1+0.0-0.0-2.41490+0.8+1.8Sergachev 48%Peterka 33%Keller 33%Cooley 32%$0.95M1.0%-2.56
NHL Edge — tracking, 2021-22 on
SeasonShot mphSpeed mph22+ /GP20–22 /GP18–20 /GPMiles /60
2025-260.001.03.98.6

Games and opponents

Single-game net goalsshare of his 28 games by that night’s total
10%20%30%-0.50 to -0.40 net goals: 3.6% of games (1)-0.40 to -0.30 net goals: 3.6% of games (1)-0.30 to -0.20 net goals: 7.1% of games (2)-0.20 to -0.10 net goals: 21.4% of games (6)-0.10 to +0.00 net goals: 32.1% of games (9)+0.00 to +0.10 net goals: 28.6% of games (8)+0.10 to +0.20 net goals: 3.6% of games (1)-2-10+1+2+3mean -0.0732%above 068%below 0
Best game +0.18 net goals · Oct 17, 2025 vs SJS (W 6–3) · 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 +1.9Career vs Q4: -8.2 net goals/84 above an average defenseman facing the same quartile; 126 min = 31% of his 5v5. Goals in those minutes: EV off -0.2, EV def -0.2, finishing -0.5, playmaking/suppression share -0.2; on-ice xGF% 41.0 (league 45.3), goals 1-7-8.2Home games: 52 of 161 career 5v5 min vs Q4 (32.2%; 25% = the league-wide split; all games 31.3%)32%Away games: 74 of 242 career 5v5 min vs Q4 (30.7%; 25% = the league-wide split; all games 31.3%)31%vs Q3 Toughopposing five avg +0.5Career vs Q3: -3.8 net goals/84 above an average defenseman facing the same quartile; 82 min = 20% of his 5v5. Goals in those minutes: EV off -0.1, EV def +0.0, finishing -0.0, playmaking/suppression share -0.1; on-ice xGF% 46.5 (league 49.2), goals 2-6-3.8Home games: 27 of 161 career 5v5 min vs Q3 (17.0%; 25% = the league-wide split; all games 20.3%)17%Away games: 54 of 242 career 5v5 min vs Q3 (22.4%; 25% = the league-wide split; all games 20.3%)22%vs Q2 Easyopposing five avg -0.3Career vs Q2: -8.0 net goals/84 above an average defenseman facing the same quartile; 96 min = 24% of his 5v5. Goals in those minutes: EV off -0.2, EV def -0.2, finishing -0.2, playmaking/suppression share -0.1; on-ice xGF% 43.1 (league 50.7), goals 1-2-8.0Home games: 45 of 161 career 5v5 min vs Q2 (27.7%; 25% = the league-wide split; all games 23.9%)28%Away games: 52 of 242 career 5v5 min vs Q2 (21.3%; 25% = the league-wide split; all games 23.9%)21%vs Q1 Easiestopposing five avg -1.3Career vs Q1: -4.7 net goals/84 above an average defenseman facing the same quartile; 99 min = 25% of his 5v5. Goals in those minutes: EV off +0.1, EV def +0.1, finishing -0.3, playmaking/suppression share -0.1; on-ice xGF% 57.1 (league 55.7), goals 3-2-4.7Home games: 37 of 161 career 5v5 min vs Q1 (23.2%; 25% = the league-wide split; all games 24.6%)23%Away games: 62 of 242 career 5v5 min vs Q1 (25.6%; 25% = the league-wide split; all games 24.6%)26%25% = even−12.60+12.6