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Daniel Leavens Elite Prospects ↗

Position: Forward DOB: 1993-06-26 Country: Canada
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 Hamilton Red Wings OJHL 47 10 11 21 0.447 0.1342 0.1491 0.3058 0.3398
2010-11 — OJHL 41 15 16 31 0.756 0.2271 0.2418 0.5176 0.5511
2011-12 Milton Menace OJHL 44 22 31 53 1.204 0.3618 0.3693 0.8245 0.8415
2012-13 Milton Menace OJHL 53 25 44 69 1.302 0.3911 0.3797 0.8912 0.8652
■ 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
2016-17 Robert Morris D1 — SR 38 14 35 49 1.290
2015-16 Robert Morris D1 — JR 39 18 11 29 0.744
2014-15 Robert Morris D1 — SO 33 7 20 27 0.818
2013-14 Robert Morris D1 — FR 26 1 2 3 0.115
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.12
2013-14 · Robert Morris
-64.1% vs. projection

NCAAe Rankings

#12061
Forward overall
#444
Forward born in 1993
#354
in OJHL

D1 Comparables

Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.46 Developing
NCAAe PPG

D2/3 Comparables

Matt Williams
Marian · 2007-08
1.148 Elite
actual D2/3 PPG
Michael Padgeon
Anna Maria · 2017-18
0.706 Strong
actual D2/3 PPG
Chris Laganiere
SUNY Oswego · 2005-06
0.750 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.