Kodo Hockey

Position Analysis · 2026-27

Which position covers each fantasy category, per-game category averages by position, and where draft value concentrates. Projected regulars (50+ GP).

Value concentration scored for Points league — G=3, A=2, PPP=1, SOG=0.4, HIT/BLK=0.3, PIM=0.3.

How many players clear a bar in HIT × BLK × PIM?
my roster sheet
positions from

A man counts at every slot his league would start him in, so a C/LW clearing the bar is one more centre and one more left wing.

Defence · 203 projected
HIT 50+
PIM ↓ / BLK →100+125+175+
80+310
60+1061
40+33162
HIT 100+
PIM ↓ / BLK →100+125+175+
80+310
60+731
40+1882
HIT 150+
PIM ↓ / BLK →100+125+175+
80+200
60+311
40+632
Forwards · 396 projected
HIT 75+
PIM ↓ / BLK →30+45+60+
75+862
45+41175
30+84337
HIT 225+
PIM ↓ / BLK →30+45+60+
75+320
45+850
30+1061

Every cell counts the players clearing all three bars at once, and opens the list of exactly those men. Five or fewer is highlighted. See the players →

Showing84 players clearingHIT 75+BLK 30+PIM 30+Forwardsclear ×
#PlayerTmPosESPPPKGPGAPTSPPPSOGHITBLKPIMFOWHIT × BLK × PIM pts
1Kiefer Sherwood SJS · LSJSRL4PP2PK2751714.931.98152360304618130.8
2Yakov Trenin MIN · CMINLL3—PK3808.91220.90.193340374243125.7
3Will Cuylle NYR · LNYRLL3PP2PK28322.620.643.27158299595831124.8
4Mathieu Olivier CBJ · RCBJRL3—PK37112.511.223.7096242541096121.5
5Adam Klapka CGY · RCGYRL4——736.59.315.81.378264468911119.7
6Jack McBain UTA · CUTARL3—PK37612.61527.60.7952684476304116.4
7Mark Kastelic BOS · CBOSRL4—PK1778.78.116.80.58821154121306115.8
8Tom Wilson WSH · RWSHRL1PP1PK17728.532.160.613.91552006011515112.5
9Tanner Jeannot BOS · LBOSLL4—PK2767.811.519.30.772240527410109.8
10Beck Malenstyn BUF · LBUFRL4—PK1804.24.68.8071254713513108
11Keegan Kolesar DET · RDETLL3——796.710.116.8067252425210103.8
12Garnet Hathaway FLA · RFLARL4—PK2622.72.85.5044229535612101.4
13Michael McCarron MIN · CMINCL4—PK1756.96.513.4092178668848499.6
14Vincent Trocheck UTA · CUTACL1PP2PK27822.24163.29.9149206616077298.1
15Vasily Podkolzin EDM · REDMRL1PP1PK27915.216.932.13.412722349541897.8
16Marcus Foligno MIN · LMINRL4—PK3647.1613.11682034770996
17Lawson Crouse UTA · LUTALL3—PK18219.916.636.51.913520551432689.7
18Colton Dach EDM · CEDMCL2——625.77.3131.26521630472587.9
19Brandon Duhaime TOR · LTORRL4—PK2804.54.38.806816154771487.6
20Dylan Cozens OTT · COTTCL2PP1—8328.133.96225202200315949487
21Peyton Krebs BUF · CBUFLL3—PK38010.823.234186170366924382.5
22Brayden Schenn NYI · CNYIRL2PP1—7717.122.539.68.3113168426047281
23Tye Kartye NYR · LNYRLL4—PK369711.418.40.1661883941780.4
24Parker Kelly COL · CCOLLL4—PK17911.911.423.3095169583011677.1
25Jake Neighbours STL · LSTLLL3PP2—7817.823.641.49.71101664447677.1
26Marco Kasper DET · CDETCL3PP2PK37915.413.428.82.5144175483424377.1
27Juraj Slafkovský MTL · LMTLLL2PP1—8332.246.87926.718713472511677.1
28Blake Coleman MIN · LMINLL2PP2PK17620.417.6382.117115553482176.8
29Zemgus Girgensons TBL · CTBLLL3—PK2766.66.312.90.18317944339176.8
30Sam Bennett FLA · CFLACL2PP2PK37828.23159.213.5203132378550876.2
31Nick Cousins OTT · LOTTLL4——74710.417.407614136731375
32Frank Vatrano ANA · RANARL3PP2PK37415.512.227.74.315513051631073.2
33Adam Lowry WPG · CWPGCL3—PK17510.616.326.90.281152523458171.4
34Nic Dowd VGK · CVGKCL4—PK1716.511.217.7062124545947471.1
35J.T. Miller NYR · CNYRCL2PP1PK1752345.468.423.6150150424362270.5
36Matthew Knies CBJ · LCBJLL1PP1PK38126.242.869211501643535170.2
37Eetu Luostarinen FLA · CFLALL3—PK28013.120.433.51.210514160329969.9
38Ty Dellandrea SJS · CSJSCL4—PK1613.9710.9060153433728269.9
39Scott Laughton LAK · CLAKCL3PP2PK17411.411.222.62110144483642668.4
40Timo Meier NJD · RNJDLL2PP2—813123.554.512.325513756354568.4
41Boone Jenner WSH · CWSHCL4PP2PK26215.521.737.24124127583625466.3
42Alex Tuch WSH · RWSHLL1PP2PK18027.934.362.210.31867891525366.3
43Zachary Bolduc MTL · RMTLRL4PP2—7614.718.833.57.811214941311566.3
44Nick Foligno MIN · CMINLL4——605.810.716.52.863143324322665.4
45Tim Stützle OTT · COTTCL1PP1PK18132.758.991.633.7202126454129563.6
46Adrian Kempe LAK · RLAKRL1PP1—8231.939.371.215.922411938533963
47Adam Fantilli CBJ · CCBJCL1PP1—8329.135.96513.1218126493251462.1
48Travis Konecny PHI · RPHIRL1PP2PK38126.646.272.815.418110540602861.5
49Dmitri Voronkov CBJ · LCBJRL4PP2—7419.319.638.910.213410538614161.2
50Filip Forsberg NSH · LNSHLL2PP1—8132.53971.526.82471293836860.9
51Justin Hryckowian DAL · CDALLL1PP2PK38112.916.429.35.485119424118760.6
52Erik Haula LAK · CLAKCL3PP2PK17413.517.931.48.2110103445244659.7
53Sam Carrick BUF · CBUFCL4—PK2684.14.48.50.165105325829358.5
54Brett Howden VGK · CVGKLL2—PK37112.811.924.71.985115344627658.5
55Joel Eriksson Ek MIN · CMINCL2PP1PK27223.231.654.817.2198116403569257.3
56Sean Kuraly BOS · CBOSCL4—PK1776.510.917.4091108423932456.7
57Cole Sillinger CBJ · CCBJLL3——7814.826.140.91.7145106453815556.7
58Noah Laba NYR · CNYRCL3—PK37512.417.730.14.587111423233855.5
59Jordan Greenway CHI · LCHIRL4—PK2562.13.75.80.15310137461155.2
60Tomas Hertl VGK · CVGKCL3PP1—7829.732.962.623.9179103473367054.9
61Gabriel Landeskog COL · LCOLLL2PP1—671922.441.45.713594355018053.7
62Noah Cates PHI · CPHICL3PP2PK28017.52643.5711895513345253.7
63Kirby Dach MTL · CMTLRL3PP2—5910.611.722.34.9818942458652.8
64Anton Lundell FLA · CFLACL3PP2PK17720.631.45213.716690444061752.2
65Shane Pinto OTT · COTTCL3PP2PK17224.12246.1514887503641551.9
66Justin Sourdif WSH · CWSHCL4——7816.221.237.42.711298403531851.9
67Anders Lee UTA · LUTALL2PP2—7624.120.744.87.41779636404451.6
68Jordan Martinook CAR · LCARRL3—PK17612.91628.901029546313351.6
69David Pastrnak BOS · RBOSRL1PP1—8236.474.8111.234295803062351.6
70Mason McTavish STL · CSTLRL2PP1—7823.129.452.513.616790354642451.3
71Jamie Benn DAL · LDALRL3PP2—6613.924.538.48.58986305215550.4
72Josh Norris BUF · CBUFCL1PP2—6518.125.643.79.910578434244748.9
73Teddy Blueger TOR · CTORCL4—PK1669.713.723.40.88292343538848.3
74Tage Thompson BUF · CBUFCL1PP1—8136.839.776.523.526482423737648.3
75Steven Stamkos NSH · CNSHLL1PP1—762924.553.523.817475364832647.7
76Easton Cowan TOR · RTORLL3PP2—7113.923.237.17.8116793545247.7
77Nick Paul TOR · CTORCL3PP2PK3721313.126.14.710590323641447.4
78Mason Appleton DET · RDETRL4—PK27168.114.10.479903137847.4
79Colin Blackwell DAL · CDALCL3—PK2663.86.610.40.26096313011947.1
80Vladislav Namestnikov WPG · CWPGCL4PP2PK3709.311.620.948083423217247.1
81Roman Kantserov CHI · RCHILL1PP1—8832.225.157.320.52447537421746.2
82Sean Couturier PHI · CPHICL4—PK17513.623.4371.911880403162145.3
83Nicolas Roy COL · CCOLCL4—PK27611.617.328.92.98775433039244.4
84Nikita Klepov ANA · RANACL2PP2—871321.134.17.71677838321444.4

Projected season totals, with the even-strength line and special-teams unit each projection is built on. Sort any column.

Positional context· per-game averages, category leaders and where value thins out
G
RW
0.25/gm
A
RW
0.35/gm
P
RW
0.6/gm
PPP
RW
0.16/gm
SHP
C
0.01/gm
SOG
RW
1.92/gm
HIT
LW
1.41/gm
BLK
D
1.4/gm
FW
C
4.99/gm
PIM
D
0.51/gm
+/-
D
0.03/gm
PosnGAPPPPSHPSOGHITBLKFWPIM+/-
C1790.230.340.570.140.011.721.050.564.990.43-0.01
LW970.230.30.530.120.011.831.410.460.310.490
RW1030.250.350.60.160.011.921.150.470.260.440
D1950.070.260.330.070.011.311.011.400.510.03
TierCLWRWD
top 2511743
26-508494
51-100189176

Reads: D lead BLK, C lead FW/assists, wingers lead shots/goals — and where value thins out by position tells you which to draft early.

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