Carolina Hurricanes
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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.
Carolina Hurricanes
2024-25 · Regular Season
| Player | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Jaccob SlavinD | 80 | 21.6 | 6 | 21 | 27 | — | 110 | 5.5% | 21 | 136 | 61 | 78 | 8 | 16 |
 Brent BurnsD | 82 | 21.0 | 6 | 23 | 29 | — | 174 | 3.4% | 11 | 98 | 36 | 104 | 28 | 7 |
 Sebastian AhoC | 79 | 20.1 | 29 | 45 | 74 | 5 | 207 | 14% | 59 | 30 | 23 | 93 | 46 | 7 |
 Dmitry OrlovD | 76 | 20.0 | 6 | 22 | 28 | — | 117 | 5.1% | 101 | 60 | 21 | 98 | 24 | 16 |
 Mikko RantanenR | 13 | 19.8 | 2 | 4 | 6 | 1 | 40 | 5% | 10 | 3 | 8 | 14 | 10 | -3 |
 Seth JarvisR | 73 | 19.4 | 32 | 35 | 67 | 7 | 204 | 15.7% | 93 | 51 | 32 | 58 | 16 | 12 |
 Domenick FensoreD | 2 | 19.1 | — | — | — | — | 5 | 0% | 3 | 3 | — | 1 | 2 | — |
 Jalen ChatfieldD | 79 | 18.9 | 7 | 11 | 18 | — | 114 | 6.1% | 64 | 64 | 26 | 82 | 54 | 22 |
 Shayne GostisbehereD | 70 | 18.5 | 7 | 38 | 45 | 4 | 122 | 5.7% | 41 | 66 | 36 | 76 | 52 | 1 |
 Martin NecasC | 49 | 18.1 | 16 | 39 | 55 | 7 | 113 | 14.2% | 40 | 16 | 15 | 52 | 10 | 4 |
 Andrei SvechnikovR | 72 | 17.1 | 20 | 28 | 48 | 10 | 180 | 11.1% | 148 | 22 | 17 | 99 | 59 | -8 |
 Sean WalkerD | 82 | 16.8 | 5 | 11 | 16 | — | 144 | 3.5% | 91 | 90 | 40 | 67 | 46 | -7 |
 Skyler Brind'AmourC | 2 | 16.6 | 1 | — | 1 | — | 1 | 100% | 1 | 1 | — | 4 | 2 | -3 |
 Scott MorrowD | 14 | 15.8 | 1 | 5 | 6 | — | 23 | 4.3% | 3 | 16 | 5 | 21 | — | 4 |
 Taylor HallL | 31 | 15.4 | 9 | 9 | 18 | 4 | 62 | 14.5% | 20 | 13 | 9 | 36 | 20 | 1 |
 Jordan StaalC | 75 | 15.4 | 13 | 23 | 36 | — | 107 | 12.1% | 138 | 43 | 9 | 41 | 16 | 15 |
 Jordan MartinookL | 79 | 15.3 | 15 | 21 | 36 | — | 112 | 13.4% | 84 | 52 | 18 | 53 | 18 | 16 |
 Logan StankovenC | 19 | 15.1 | 5 | 4 | 9 | 1 | 46 | 10.9% | 6 | 9 | 5 | 10 | 12 | -3 |
 Jesperi KotkaniemiC | 78 | 14.1 | 12 | 21 | 33 | — | 115 | 10.4% | 66 | 28 | 18 | 64 | 50 | 9 |
 Jackson BlakeR | 80 | 13.8 | 17 | 17 | 34 | 5 | 142 | 12% | 19 | 30 | 20 | 54 | 30 | 10 |
 Jack RoslovicC | 81 | 13.8 | 22 | 17 | 39 | 1 | 139 | 15.8% | 14 | 23 | 19 | 63 | 10 | -10 |
| T. SmithD | 8 | 13.7 | 1 | 1 | 2 | 1 | 14 | 7.1% | 2 | 5 | 1 | 3 | 4 | 1 |
 Jack DruryC | 39 | 12.9 | 3 | 6 | 9 | — | 60 | 5% | 17 | 24 | 4 | 19 | 12 | 1 |
 Mark JankowskiL | 19 | 12.3 | 8 | — | 8 | — | 21 | 38.1% | 4 | 14 | 2 | 20 | 18 | 4 |
 Eric RobinsonL | 82 | 12.3 | 14 | 18 | 32 | — | 110 | 12.7% | 123 | 16 | 9 | 42 | 10 | 14 |
 William CarrierL | 43 | 11.7 | 4 | 7 | 11 | — | 48 | 8.3% | 156 | 12 | 11 | 19 | 16 | — |
 Bradly NadeauL | 2 | 11.5 | — | 1 | 1 | — | 8 | 0% | 2 | 1 | — | — | — | — |
 Justin RobidasC | 2 | 11.1 | 1 | 1 | 2 | — | 3 | 33.3% | 2 | — | — | 1 | — | 1 |
| T. JostC | 39 | 10.4 | 4 | 5 | 9 | — | 44 | 9.1% | 46 | 17 | 6 | 9 | 33 | 2 |
 Juha JaaskaL | 18 | 8.9 | — | 4 | 4 | — | 11 | 0% | 20 | 3 | 1 | 8 | 9 | — |
 Riley StillmanD | 5 | 7.2 | — | — | — | — | 1 | 0% | 8 | 1 | — | 4 | 7 | -1 |
| R. SuzukiC | 2 | 6.6 | — | — | — | — | — | — | 2 | — | — | — | — | 1 |
 Pyotr KochetkovG | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
 Frederik AndersenG | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| S. MartinG | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| D. TokarskiG | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
| Y. PeretsG | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
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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.