New Jersey Devils
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How to read this page
Team tables carry the record, scoring, shooting, possession and both halves of special teams, with the league rank beside each. The record is three numbers because a club collects a standings point for losing in overtime, and the standings are ordered on points rather than wins. The roster is everyone who played for the club that season, and each line is what he did HERE rather than his whole year, so a player traded in March appears on both clubs with the games he played for each. Every rate is per sixty minutes of ice time, because a first-line forward plays twice the minutes of a fourth-line one. A dash means no number for that cell.
New Jersey Devils
2024-25 · Regular Season
| Player | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Brett PesceD | 72 | 21.3 | 3 | 14 | 17 | — | 99 | 3% | 24 | 138 | 25 | 62 | 29 | -5 |
 Luke HughesD | 71 | 21.2 | 7 | 37 | 44 | — | 121 | 5.8% | 19 | 60 | 33 | 86 | 16 | -9 |
 Jack HughesC | 62 | 20.9 | 27 | 43 | 70 | 6 | 229 | 11.8% | 7 | 29 | 22 | 87 | 18 | 12 |
 Nico HischierC | 75 | 20.4 | 35 | 34 | 69 | 14 | 187 | 18.7% | 44 | 60 | 24 | 53 | 20 | 9 |
 Dougie HamiltonD | 64 | 19.9 | 9 | 31 | 40 | 5 | 186 | 4.8% | 74 | 85 | 20 | 94 | 30 | 8 |
 Johnathan KovacevicD | 81 | 19.8 | 1 | 16 | 17 | — | 76 | 1.3% | 102 | 99 | 28 | 100 | 72 | 10 |
 Jonas SiegenthalerD | 55 | 19.6 | 2 | 7 | 9 | — | 52 | 3.8% | 75 | 92 | 14 | 59 | 44 | 9 |
 Jesper BrattL | 81 | 18.9 | 21 | 67 | 88 | 4 | 180 | 11.7% | 96 | 42 | 11 | 62 | 18 | 5 |
 Brian DumoulinD | 19 | 18.7 | 1 | 5 | 6 | — | 12 | 8.3% | 14 | 18 | 9 | 13 | 4 | -3 |
 Brenden DillonD | 82 | 18.6 | 2 | 14 | 16 | — | 48 | 4.2% | 191 | 108 | 8 | 74 | 67 | 8 |
 Dawson MercerC | 82 | 17.9 | 19 | 17 | 36 | 6 | 141 | 13.5% | 41 | 60 | 18 | 56 | 16 | 4 |
 Timo MeierR | 80 | 17.9 | 26 | 27 | 53 | 7 | 239 | 10.9% | 141 | 65 | 22 | 73 | 58 | 7 |
 Stefan NoesenR | 78 | 15.9 | 22 | 19 | 41 | 11 | 165 | 13.3% | 152 | 26 | 14 | 73 | 54 | -8 |
 Simon NemecD | 27 | 15.0 | 2 | 2 | 4 | — | 26 | 7.7% | 2 | 26 | 5 | 24 | 14 | -10 |
 Erik HaulaL | 69 | 14.7 | 11 | 10 | 21 | 2 | 110 | 10% | 101 | 35 | 14 | 44 | 39 | -6 |
| D. CholowskiD | 6 | 14.6 | — | — | — | — | 4 | 0% | — | 3 | — | 5 | — | -4 |
 Cody GlassC | 14 | 14.5 | 2 | 5 | 7 | — | 13 | 15.4% | 10 | 7 | 1 | 10 | 4 | 4 |
 Brian HalonenL | 2 | 13.9 | — | — | — | — | 2 | 0% | 2 | 1 | 1 | 2 | — | -1 |
 Ondrej PalatL | 77 | 13.8 | 15 | 13 | 28 | 2 | 96 | 15.6% | 124 | 58 | 24 | 56 | 12 | -5 |
 Paul CotterL | 79 | 13.1 | 16 | 6 | 22 | — | 90 | 17.8% | 245 | 32 | 17 | 39 | 62 | -14 |
 Seamus CaseyD | 14 | 12.6 | 4 | 4 | 8 | 2 | 12 | 33.3% | 10 | 7 | 2 | 16 | — | 3 |
| D. SprongR | 11 | 12.5 | — | 2 | 2 | — | 24 | 0% | 21 | 4 | 1 | 5 | — | — |
| D.MisyulD | 1 | 12.4 | — | — | — | — | — | — | 1 | 1 | — | 1 | — | -1 |
| T. TatarL | 74 | 11.1 | 7 | 10 | 17 | 1 | 66 | 10.6% | 56 | 19 | 7 | 35 | 20 | -7 |
 Nathan BastianR | 59 | 10.9 | 4 | 6 | 10 | 1 | 44 | 9.1% | 138 | 27 | 2 | 24 | 31 | -4 |
| N. LégaréR | 3 | 10.7 | — | — | — | — | 3 | 0% | 12 | 1 | — | — | — | -1 |
| C. LazarC | 48 | 10.6 | 2 | 3 | 5 | — | 27 | 7.4% | 107 | 17 | 3 | 11 | 14 | -6 |
 Justin DowlingC | 52 | 10.2 | 2 | 5 | 7 | — | 34 | 5.9% | 51 | 22 | 14 | 29 | 6 | -6 |
 Nolan FooteL | 7 | 9.8 | — | 1 | 1 | — | 5 | 0% | 11 | 1 | 1 | 2 | — | — |
 Marc McLaughlinC | 2 | 9.3 | — | 1 | 1 | — | — | — | 5 | — | — | — | — | -1 |
| M. HardmanL | 2 | 9.0 | — | 1 | 1 | — | 2 | 0% | 4 | 3 | — | — | — | — |
| S. BowersC | 4 | 8.3 | — | — | — | — | 2 | 0% | 9 | 1 | 1 | 1 | — | -1 |
 Kurtis MacDermidL | 23 | 5.8 | — | — | — | — | 7 | 0% | 40 | 8 | 1 | 9 | 23 | -5 |
 Jacob MarkstromG | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
 Jake AllenG | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
 Nico DawsG | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
About NHL Research
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Every number the site holds for an NHL club and the players who played for it, in one place. Pick a club, a season and a set of games, and read it. Nothing here needs an account.
Where the numbers come from
The same tables the boards read, resolved through one shared definition per stat. A rate is computed over the whole window rather than averaged across games, so a season figure is not the mean of the nightly ones.