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Nolan Redler Elite Prospects ↗

Position: Forward DOB: 1996-06-02 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
2014-15 Pembroke Lumber Kings CCHL 21 4 4 8 0.381 0.0826 0.0845 0.2948 0.3015
2015-16 Trail Smoke Eaters BCHL 20 4 3 7 0.350 0.1349 0.1321 0.5094 0.4989
■ 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
2019-20 UMass Boston D1 NEHC SR 19 17 10 27 1.421
2019-20 UMass Boston D3 NEHC SR 19 17 10 27 1.421
2018-19 UMass Boston D1 NEHC JR 28 15 19 34 1.214
2018-19 UMass Boston D3 NEHC JR 28 15 19 34 1.214
2017-18 UMass Boston D3 NEHC SO 27 24 15 39 1.444
2016-17 UMass Boston D3 MASCAC FR 24 10 17 27 1.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
1.12
2016-17 · UMass Boston
+1062.2% vs. projection

NCAAe Rankings

#16230
Forward overall
#633
Forward born in 1996

D1 Comparables

Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG

D2/3 Comparables

Ian DeLong
SUNY Plattsburgh · 2007-08
0.640 Average
actual D2/3 PPG
Killian Hammersmith
Saint Anselm · 2017-18
0.389 Average
actual D2/3 PPG
Mason Wyman
Gustavus Adolphus · 2012-13
0.000 No data
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.