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Daniel Toycen Elite Prospects ↗

Position: Forward DOB: 1996-08-27 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 Coulee Region Chill NA3HL 41 10 18 28 0.683 0.1571 0.1637 0.2163 0.2254
2015-16 Coulee Region Chill NA3HL 40 21 27 48 1.200 0.2760 0.2741 0.3802 0.3776
2016-17 Coulee Region Chill NA3HL 47 14 27 41 0.872 0.2006 0.1891 0.2763 0.2604
■ 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
2020-21 Lawrence D3 NCHA SR 8 0 0 0 0.000
2019-20 Lawrence D3 NCHA JR 24 1 3 4 0.167
2018-19 Lawrence D3 NCHA SO 25 3 3 6 0.240
2017-18 Lawrence D3 NCHA FR 19 0 2 2 0.105
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.11
2017-18 · Lawrence
-44.9% vs. projection

NCAAe Rankings

#25989
Forward overall
#1056
Forward born in 1996
#773
in NA3HL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Matthew Stanton
Wisconsin-Eau Claire · 2018-19
0.350 Average
actual D2/3 PPG
Frédérick Allaire
Hamilton · 2018-19
0.385 Average
actual D2/3 PPG
Matthew Headland
Canton · 2018-19
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.