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 × SOG × PPP?
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 · 204 projected
BLK ↓ / HIT →75+100+125+175+
160+7651
140+151491
120+2820112
100+4230174
Forwards · 396 projected
BLK ↓ / HIT →100+150+200+
60+853
50+28179
40+623116

Each cell counts the players who clear both bars — down the side and across the top — and opens the list of exactly those men. The top-right corner is what you have to draft early; five or fewer is highlighted. See the players →

Showing62 players clearingHIT 100+BLK 40+Forwardsclear ×
#PlayerTmPosESPPPKGPGAPTSPPPSOGHITBLKPIMFOWHIT × BLK × PIM × SOG × PPP pts
1Will Cuylle NYR · LNYRLL3PP2PK28322.620.643.27158299595831195
2Tom Wilson WSH · RWSHRL1PP1PK17728.532.160.613.91552006011515188.4
3Timo Meier NJD · RNJDLL2PP2—813123.554.512.3255137563545182.7
4Tim Stützle OTT · COTTCL1PP1PK18233.259.89334.22051284541299180.4
5Juraj Slafkovský MTL · LMTLLL2PP1—8332.246.778.926.6187134725116178.5
6Alex Laferriere LAK · RLAKRL2PP2PK38224.424.248.65.32062134623145172.3
7Vincent Trocheck UTA · CUTACL1PP2PK27822.24163.29.91492066160772167.6
8Adam Fantilli CBJ · CCBJCL1PP1—8329.135.96513.12181264932514162.4
9Owen Tippett PHI · RPHIRL2PP2—8026.423.750.17.6210151532710160.9
10Mathieu Olivier CBJ · RCBJRL3—PK37112.511.223.7096242541096159.9
11Eeli Tolvanen NYR · RNYRRL3PP2—7915.92136.91113619874282155.4
12Jack McBain UTA · CUTARL3—PK37612.61527.60.7952684476304155.1
13J.T. Miller NYR · CNYRCL2PP1PK1752345.468.423.61501504243622154.1
14Joel Eriksson Ek MIN · CMINCL2PP1PK27223.231.754.917.21981164035692153.7
15Adam Klapka CGY · RCGYRL4——736.59.315.81.378264468911152.2
16Vasily Podkolzin EDM · REDMRL1PP1PK27915.216.932.13.4127223495418152
17Dylan Holloway STL · LSTLLL1PP2PK37224.436.460.810.6184156462344151.7
18Mark Kastelic BOS · CBOSRL4—PK1778.78.116.80.58821154121306151.5
19Tomas Hertl VGK · CVGKCL3PP1—7829.732.962.623.91791034733670150.4
20Emil Heineman NYI · LNYIRL1—PK37717.99.427.33.814722645215150.2
21Travis Konecny PHI · RPHIRL1PP2PK38126.646.272.815.4181105406028149.3
22Blake Coleman MIN · LMINLL2PP2PK17620.417.6382.1171155534821147.3
23Lawson Crouse UTA · LUTALL3—PK18219.916.636.51.9135205514326145.6
24Frank Vatrano ANA · RANARL3PP2PK37415.512.127.64.3155130516310139.5
25Tanner Jeannot BOS · LBOSLL4—PK2767.811.519.30.772240527410139.3
26Marco Kasper DET · CDETCL3PP2PK37915.413.428.83.41441754834243138.1
27Michael McCarron MIN · CMINCL4—PK1756.96.513.40921786688484136.4
28Beck Malenstyn BUF · LBUFRL4—PK1804.24.68.8071254713513136.4
29Brayden Schenn NYI · CNYIRL2PP1—7717.122.539.68.31131684260472134.5
30Jake Neighbours STL · LSTLLL3PP2—7817.823.641.49.711016644476130.8
31Keegan Kolesar DET · RDETLL3——796.710.116.8067252425210130.6
32Fabian Zetterlund OTT · LOTTRL2PP2—8217.51835.58.1145148461812129.7
33Marcus Foligno MIN · LMINRL4—PK3647.1613.116820347709124.2
34Emmitt Finnie DET · LDETLL2PP2PK38019.520.740.212.8137128401347121.9
35Boone Jenner WSH · CWSHCL4PP2PK26215.521.737.241241275836254119.9
36Garnet Hathaway FLA · RFLARL4—PK2622.72.85.5044229535612119
37Zachary Bolduc MTL · RMTLRL4PP2—7614.718.833.57.8112149413115118.9
38Parker Kelly COL · CCOLLL4—PK18012.211.723.90961715930118116.4
39Cole Sillinger CBJ · CCBJLL3——7814.826.140.91.71451064538155116.4
40Brandon Duhaime TOR · LTORRL4—PK2804.44.58.9068161547714114.8
41Scott Laughton LAK · CLAKCL3PP2PK17311.110.92221091424836420113.4
42Eetu Luostarinen FLA · CFLALL3—PK28013.120.533.61.2105141603299113.1
43Erik Haula LAK · CLAKCL3PP2PK17413.517.931.48.21101034452446111.9
44Charlie Coyle CBJ · CCBJCL3PP1PK18018.230.548.710.41211045318556111.3
45Zemgus Girgensons TBL · CTBLLL4—PK2766.66.312.90.183179443391110.1
46Anthony Beauvillier WSH · RWSHRL4—PK38115.81227.81.3144101442535109.9
47Adam Lowry WPG · CWPGCL3—PK17510.616.326.90.2811525234581104
48Fraser Minten BOS · CBOSCL3—PK27015.617.232.82.71121244119348102.7
49Jordan Staal CAR · CCARCL3PP2PK17014.515.129.62.4921414125747101.3
50Connor Dewar PIT · CPITCL4—PK17412.212.724.9095144452276101.3
51Morgan Barron WPG · CWPGLL3—PK1739.89.819.60.2961364229212100.7
52Justin Hryckowian DAL · CDALLL1PP2PK38012.616.128.75.384117424118498.9
53Casey Cizikas NYI · CNYICL4—PK3756.25.711.90.273150542632998.4
54Nic Dowd VGK · CVGKCL4—PK1716.511.217.7062124545947495.9
55Noah Laba NYR · CNYRCL3—PK37512.417.730.14.587111423233894.8
56Ty Dellandrea SJS · CSJSCL4—PK1613.9710.9060153433728293.9
57Jean-Gabriel Pageau NYI · CNYICL3—PK17613.519.733.22.186127541064493.8
58Sean Kuraly BOS · CBOSCL4—PK1776.410.917.3091108423932493.1
59Colton Sissons TOR · CTORRL3—PK1737.2714.21.680104542839789.4
60Ondrej Palat NYI · LNYILL4——737.58.716.22761155714588.2
61Noel Acciari PHI · CPHIRL4—PK1688.37.515.8077100692130787.8
62Mathieu Joseph EDM · REDMRL3—PK2655.29.8150.25913341221582.6

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
1.4/gm
BLK
D
1.4/gm
FW
C
5/gm
PIM
D
0.51/gm
+/-
D
0.03/gm
PosnGAPPPPSHPSOGHITBLKFWPIM+/-
C1770.230.340.570.140.011.731.050.5650.43-0.01
LW970.230.30.530.120.011.831.40.460.310.490
RW1030.250.350.60.160.011.921.150.470.260.440
D1960.070.260.330.070.011.311.011.400.510.03
TierCLWRWD
top 2511743
26-5074104
51-100199166

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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