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Tyler Barrow Elite Prospects ↗

Position: Forward DOB: 1997-11-17 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
2016-17 Charlotte Rush USPHL-Elite 41 18 49 67 1.634 0.1959 0.1972 0.3752 0.3776
2017-18 New Jersey Jr. Titans NAHL 5 1 2 3 0.600 0.2228 0.2145 0.6353 0.6117
■ 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
2021-22 Wilkes D3 MAC SR 24 15 25 40 1.667
2020-21 Wilkes D3 MAC JR 11 10 7 17 1.546
2019-20 Wilkes D3 MAC SO 27 14 25 39 1.444
2018-19 Wilkes D3 MAC FR 26 13 23 36 1.385
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
1.38
2018-19 · Wilkes
+679.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D1
32%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#20552
Forward overall
#863
Forward born in 1997

D1 Comparables

Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

David McNab
SUNY Plattsburgh · 2004-05
0.750 Strong
actual D2/3 PPG
Cody Smith
Norwich · 2008-09
0.500 Average
actual D2/3 PPG
Jordan Singer
Wisconsin-Eau Claire · 2008-09
0.682 Strong
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.