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Colby Daniels Elite Prospects ↗

Position: Forward DOB: 1994-07-25 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
2010-11 Kindersley Klippers SJHL 1 0 0 0 0.000 — — — —
2011-12 Kindersley Klippers SJHL 50 8 11 19 0.380 0.0974 0.1066 0.2864 0.3135
2012-13 Kindersley Klippers SJHL 48 20 26 46 0.958 0.2455 0.2578 0.7224 0.7586
2013-14 Kindersley Klippers SJHL 55 13 28 41 0.746 0.1910 0.1905 0.5620 0.5606
2014-15 La Ronge Ice Wolves SJHL 53 10 21 31 0.585 0.1499 0.1417 0.4409 0.4166
■ 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
2015-16 Westfield State D3 MASCAC — 27 4 18 22 0.815
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.81
2015-16 · Westfield State
+490.4% vs. projection

NCAAe Rankings

#25534
Forward overall
#996
Forward born in 1994
#391
in SJHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Jonas Oesterle
Framingham State · 2024-25
0.440 Average
actual D2/3 PPG
Ryan Burnett
SUNY Geneseo · 2017-18
0.556 Average
actual D2/3 PPG
Matt Morin
Wisconsin-Stout · 2007-08
0.871 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.