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 PPP × SOG × 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
SOG ↓ / PPP →5+10+20+25+
175+121295
150+2221115
125+3731169
100+5334169
Forwards · 396 projected
SOG ↓ / PPP →10+15+20+25+30+
250+171615128
200+5145362815
150+11792664222

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 →

Showing66 players clearingPPP 20+SOG 150+Forwardsclear ×
#PlayerTmPosESPPPKGPGAPTSPPPSOGHITBLKPIMFOWPPP × SOG × HIT × BLK × PIM pts
1Brady Tkachuk FLA · LFLALL1PP1—7636.143.379.426.429822227102216250.9
2Nathan MacKinnon COL · CCOLCL1PP1—8146.383.6129.936345574440700216.3
3Macklin Celebrini SJS · CSJSCL1PP1PK37943.376119.336.6314515240600205.1
4David Pastrnak BOS · RBOSRL1PP1—8236.474.8111.2342958030623203.6
5Connor McDavid EDM · CEDMCL1PP1PK18044.495.2139.652.5280492941450200.2
6Dylan Cozens OTT · COTTCL2PP1—8328.133.962252022003159494192.8
7Matt Boldy MIN · LMINRL2PP1PK28138.949.988.831.527759593858189.1
8Auston Matthews TOR · CTORCL1PP1PK27441.339.480.721287569622715188
9Filip Forsberg NSH · LNSHLL2PP1—8132.53971.526.824712938368186.5
10Jason Robertson DAL · LDALLL2PP1—8340.455.495.8382765536283184.1
11Juraj Slafkovský MTL · LMTLLL2PP1—8332.246.87926.7187134725116178.6
12Andrei Svechnikov CAR · RCARRL1PP1—7830.139.669.727.619915220657178.3
13Tim Stützle OTT · COTTCL1PP1PK18132.758.991.633.72021264541295178.1
14Tage Thompson BUF · CBUFCL1PP1—8136.839.776.523.5264824237376177.4
15Nikita Kucherov TBL · RTBLLL1PP1—7736.890.8127.642.62383430440170.2
16Wyatt Johnston DAL · CDALCL1PP1—8342.745.988.639.6226535129408169.9
17Mikko Rantanen DAL · RDALRL1PP1—7932.266.598.738.819155398898169.8
18Dylan Guenther UTA · RUTARL2PP1—7936.738.675.329.425265342922168.6
19Leon Draisaitl EDM · CEDMCL1PP1PK37738.772.8111.547.9224392235742166.3
20Alex DeBrincat DET · RDETLL1PP1—8338.942.681.525.827043392420165.6
21Jack Hughes NJD · CNJDCL1PP1—723663.699.632.528673615197164.3
22Roman Kantserov CHI · RCHILL1PP1—8832.225.157.320.524475374217164.3
23Matthew Tkachuk FLA · LFLARL2PP1—652848.676.629.21998317846164
24Jack Eichel VGK · CVGKCL1PP1PK17629.566.696.131.1256334617561162.3
25Kirill Kaprizov MIN · LMINLL1PP1—7239.145.184.230.92484727280160.7
26Nick Suzuki MTL · CMTLCL1PP1PK38330.872.7103.541184636325725159.9
27Cole Caufield MTL · RMTLRL1PP1—8041.137.97926.72585424156157.8
28Dylan Larkin DET · CDETC———7935.838.374.127.1231473446838157.6
29Jake Guentzel TBL · CTBLLL2PP1PK38137.849.487.230.2220394348180157.2
30Drake Batherson OTT · ROTTRL1PP1—8128.241.269.431174128263416157
31Martin Necas COL · RCOLRL1PP1—8132.764.196.829.521480272930155.9
32Aleksander Barkov FLA · CFLACL1PP1—7625.16186.132.6179955719676155.5
33Kirill Marchenko TOR · RTORRL1PP1—7930.143.974242266443308155.5
34Sam Reinhart FLA · CFLARL1PP1PK17835.640.375.930.9199785218129154.9
35J.T. Miller NYR · CNYRCL2PP1PK1752345.468.423.61501504243622154.1
36Mika Zibanejad NYR · CNYRCL1PP1PK18127.344.471.731.2196824817568153.7
37Kyle Connor WPG · LWPGLL1PP1PK28237.255.592.723.32673226180152.9
38Matthew Knies CBJ · LCBJLL1PP1PK38126.242.8692115016435351151.2
39Tomas Hertl VGK · CVGKCL3PP1—7829.732.962.623.91791034733670150.4
40Connor Bedard CHI · CCHIC———6730.95080.924230362848251149.6
41Sebastian Aho CAR · CCARCL1PP1PK28130.754.38528203622546626149.1
42Nico Hischier NJD · CNJDCL2PP1PK18032.239.972.125.2202536025991147.4
43Clayton Keller UTA · RUTARL1PP1—8330.664.795.331.722611333614146.1
44Seth Jarvis CAR · RCARR———6834.336.170.420.121181342043145
45Kevin Fiala LAK · LLAKL———7827.231.258.42420357284511144.2
46Steven Stamkos NSH · CNSHLL1PP1—762924.553.523.8174753648326141.1
47Lucas Raymond DET · LDETRL1PP1—8326.857.784.532.41914731242139.4
48Pavel Dorofeyev NYR · RNYRRL2PP1—8031.424.455.825.42202831261138.9
49Jake DeBrusk VAN · LVANLL1PP1PK28126.419.545.921.219277381512137
50Jesper Bratt NJD · LNJDRL1PP1PK38324.756.681.325.41857830143136
51William Nylander TOR · RTORRL2PP1PK3793354.887.829.221417292248135.2
52John Tavares TOR · CTORCL2PP1—7532.237.369.520.6181772830737133.5
53Mark Scheifele WPG · CWPGCL1PP1PK38030.860.391.122.9167434746591130.5
54Bryan Rust PIT · RPITRL3—PK17227.334.862.120.51744462244129.1
55Mitch Marner VGK · RVGKRL2PP1PK28222.966.589.429.1170354622101128
56Sidney Crosby PIT · CPITCL1PP1PK36824.946.571.422.7166603037810127.2
57Roope Hintz DAL · CDALCL2PP1—742640.366.324.2162673326507126.8
58Brad Marchand FLA · LFLAL———662531.556.520.51625924525125.8
59Artemi Panarin LAK · LLAKLL1PP1—7727.955.383.225.32141414191125
60Nikolaj Ehlers CAR · LCARLL3PP1—7722.143.165.225.51872627169121
61Nick Schmaltz UTA · CUTALL1PP1PK27926.841.26821.1180204623338119.8
62Brock Boeser VAN · RVANRL2PP1PK27923.528.151.620.716262301244116.7
63Will Smith SJS · RSJSRL1PP1PK37725.442.868.221.218819182132113.8
64Ivan Demidov MTL · RMTLRL2PP1—8023.25275.225.21503229340113.7
65Brayden Point TBL · CTBLCL1PP1—7730.54171.521.2167163414377107.2
66Patrick Kane CHI · RCHIRL1PP1—6717.838.556.3211581922155101

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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