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Tayler Munson Elite Prospects ↗

Position: Forward DOB: 1993-03-02 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  Solid blue = age-adjusted NCAAe-PPG  ·  Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2009-10 Fairbanks Ice Dogs NAHL 14 0 2 2 0.143 0.0525 0.0592 0.1508 0.1701
2010-11 Fairbanks Ice Dogs NAHL 53 18 30 48 0.906 0.3328 0.3585 0.9560 1.0299
2011-12 Fairbanks Ice Dogs NAHL 55 15 31 46 0.836 0.3073 0.3159 0.8828 0.9075
2012-13 Tri-City Storm USHL 13 0 4 4 0.308 0.1815 0.1704 0.9241 0.8678
2013-14 Fairbanks Ice Dogs NAHL 56 24 34 58 1.036 0.3805 0.3530 1.0932 1.0141
Blue = NCAAe (D1 anchor)   Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2017-18 Alaska Fairbanks D1 WCHA SR 32 8 6 14 0.438
2016-17 Alaska Fairbanks D1 WCHA JR 28 4 8 12 0.429
2015-16 Alaska Fairbanks D1 WCHA SO 35 7 5 12 0.343
2014-15 Alaska Fairbanks D1 WCHA FR 31 7 4 11 0.355
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
Actual FR PPG
0.35
2014-15 · Alaska Fairbanks
+48.1% vs. projection

NCAAe Rankings

#18822
Forward overall
#648
Forward born in 1993
#1159
in NAHL

D1 Comparables

USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

St. Scholastica · 2007-08
0.538 Average
actual D2/3 PPG
St. Norbert · 2010-11
0.968 Strong
actual D2/3 PPG
Wentworth · 2007-08
1.407 Elite
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.