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 BLK × PPP? — the modern defenceman's whole value
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
PPP ↓ / BLK →100+120+140+160+
25+8621
20+11621
10+221364
5+362095
Forwards · 396 projected
PPP ↓ / BLK →40+50+60+
30+1161
25+1693
20+26126
15+40197
10+572812

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 →

Showing26 players clearingBLK 40+PPP 20+Forwardsclear ×
#PlayerTmPosESPPPKGPGAPTSPPPSOGHITBLKPIMFOWBLK × PPP pts
1Nick Suzuki MTL · CMTLCL1PP1PK38330.872.7103.54118463632572559.9
2Wyatt Johnston DAL · CDALCL1PP1—8342.745.988.639.622653512940854.9
3Elias Pettersson VAN · CVANCL1PP1PK17719.94160.923.6141781002060853.6
4Macklin Celebrini SJS · CSJSCL1PP1PK37943.376119.336.631451524060052.2
5Auston Matthews TOR · CTORCL1PP1PK27441.339.480.72128756962271549.8
6Aleksander Barkov FLA · CFLACL1PP1—7625.16186.132.617995571967649.7
7Nathan MacKinnon COL · CCOLCL1PP1—8146.383.6129.93634557444070049.2
8Matt Boldy MIN · LMINRL2PP1PK28138.949.988.831.52775959385849.2
9Juraj Slafkovský MTL · LMTLLL2PP1—8332.246.87926.718713472511648.3
10Tim Stützle OTT · COTTCL1PP1PK18132.758.991.633.7202126454129547.2
11Sam Reinhart FLA · CFLARL1PP1PK17835.640.375.930.919978521812946.5
12Mika Zibanejad NYR · CNYRCL1PP1PK18127.344.471.731.219682481756845.6
13Jack Eichel VGK · CVGKCL1PP1PK17629.566.696.131.125633461756144.9
14Nico Hischier NJD · CNJDCL2PP1PK18032.239.972.125.220253602599143.2
15Jake Guentzel TBL · CTBLLL2PP1PK38137.849.487.230.222039434818043.1
16Mitch Marner VGK · RVGKRL2PP1PK28222.966.589.429.117035462210142.9
17Dylan Strome WSH · CWSHCL2PP1—8221.544.766.225.414215534075441.3
18Mark Stone VGK · RVGKRL1PP1PK36524.948.373.227131334612440.8
19Bryan Rust PIT · RPITRL3—PK17227.334.862.120.5174446224439.1
20Tomas Hertl VGK · CVGKCL3PP1—7829.732.962.623.9179103473367038
21Mark Scheifele WPG · CWPGCL1PP1PK38030.860.391.122.916743474659137
22Kirill Marchenko TOR · RTORRL1PP1—7930.143.97424226644330836.9
23J.T. Miller NYR · CNYRCL2PP1PK1752345.468.423.6150150424362236.2
24Tage Thompson BUF · CBUFCL1PP1—8136.839.776.523.526482423737636.1
25Nick Schmaltz UTA · CUTALL1PP1PK27926.841.26821.118020462333834.9
26Robert Thomas STL · CSTLCL1PP1PK37623.655.579.120.213414472870634.3

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.

Feedback