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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.

FLA

Florida Panthers

Players
30 of 30
Player
Brandon MontourD6623.48253311684.8%104671840461
Gustav ForslingD7922.110293911606.3%11110241484356
Aaron EkbladD5120.9414181984.1%855914265027
Sam ReinhartC8220.35737942723324.5%786640353129
Niko MikkolaD8220.031417—933.2%19812410376911
Aleksander BarkovC7319.6235780519311.9%1045061312433
Matthew TkachukL8018.626628862809.3%1512839628819
Oliver Ekman-LarssonD8018.49233211237.3%1057015357610
Carter VerhaegheC7618.0343872824613.8%632039393617
T. BjornfotD117.0————10%22—1——
Sam BennettC6916.6202141517111.7%17343402710017
Dmitry KulikovD7616.511920—741.4%1458422476315
Eetu LuostarinenC8215.9121527211910.1%129565128261
Anton LundellC7815.413223511667.8%614032314619
Evan RodriguesC8015.212273931866.5%1042828343426
V. TarasenkoR1914.8681413915.4%319214——
Mike ReillyD214.1————70%—3——2-2
Uvis BalinskisD2614.1123—224.5%33155118—
Kevin StenlundC8112.611415—8113.6%8355361462-10
Josh MahuraD3012.6—99—250%40273620-2
Nick CousinsC6912.27815—1116.3%130333123641
Mackie SamoskevichR712.0————110%5315—-3
K. OkposoR610.7————80%141112—
Ryan LombergL759.55271687.4%17921141480-1
Justin SourdifC38.8————20%52—1——
Steven LorentzC388.8123—303.3%701413610-9
W. LockwoodR268.2—11—190%54864162
Jonah GadjovichL397.4224—296.9%821419104—
Sergei BobrovskyG——————————————
Anthony StolarzG——————————————

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.