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Matt Caruana Elite Prospects ↗

Position: Forward DOB: 1985-06-07 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
2001-02 Bowmanville Eagles OJHL 49 21 26 47 0.959 0.2881 0.3116 0.6566 0.7101
2002-03 Bowmanville Eagles OJHL 46 28 30 58 1.261 0.3788 0.3940 0.8631 0.8978
2003-04 Bowmanville Eagles OJHL 46 29 32 61 1.326 0.3984 0.3965 0.9077 0.9033
■ 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
2007-08 Niagara D1 AHA SR 37 17 22 39 1.054
2006-07 Niagara D1 AHA JR 37 14 24 38 1.027
2005-06 Niagara D1 AHA SO 36 12 24 36 1.000
2004-05 Niagara D1 AHA FR 36 8 8 16 0.444
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.44
2004-05 · Niagara
+31.3% vs. projection

NCAAe Rankings

#10593
Forward overall
#328
Forward born in 1985
#243
in OJHL

D1 Comparables

Jake Montgomery
USHL · 2012-13 · 0.57 PPG
→ Nebraska Omaha
0.35 No data
NCAAe PPG
Dylan Steman
USHL · 2012-13 · 0.55 PPG
→ Michigan Tech (0.49 D1 FR PPG)
0.34 Average
NCAAe PPG
Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.35 Average
NCAAe PPG
Brandon Hawkins
NAHL · 2012-13 · 0.97 PPG
→ Bowling Green (0.77 D1 FR PPG)
0.40 Strong
NCAAe PPG
Drew Smolcynski
USHL · 2012-13 · 0.69 PPG
→ St. Lawrence (0.44 D1 FR PPG)
0.42 Average
NCAAe PPG

D2/3 Comparables

Brady Lindauer
Saint Mary's (MN) · 2017-18
0.476 Average
actual D2/3 PPG
Jeff Olitch
Wentworth · 2003-04
1.143 Elite
actual D2/3 PPG
Jake Cox
Southern New Hampshire · 2015-16
0.808 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.