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Blake Geoffrion Elite Prospects ↗

Position: Forward DOB: 1988-02-03 Country: USA
2006 · Round 2, Pick #56  ·  Nashville Predators Nashville Predators
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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
2004-05 U.S. National U17 Team NTDP-U18 11 2 3 5 0.455 0.3378 0.3412 1.6959 1.7128
2005-06 U.S. National U18 Team NTDP-U18 41 12 14 26 0.634 0.4713 0.4530 2.3661 2.2743
■ 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
2009-10 Wisconsin D1 BigTen SR 40 28 22 50 1.250
2008-09 Wisconsin D1 BigTen JR 35 15 13 28 0.800
2007-08 Wisconsin D1 BigTen SO 36 10 20 30 0.833
2006-07 Wisconsin D1 BigTen FR 36 2 4 6 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.17
2006-07 · Wisconsin
-52.3% vs. projection

NCAAe Rankings

#7223
Forward overall
#303
Forward born in 1988
#13
in NTDP-U18

D1 Comparables

John Hayden
NTDP-U18 · 2012-13 · 0.64 PPG
→ Yale (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Evan Allen
NTDP-U18 · 2012-13 · 0.72 PPG
→ Michigan (0.26 D1 FR PPG)
0.51 Developing
NCAAe PPG
Tyler Kelleher
USHL · 2012-13 · 0.73 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.44 Average
NCAAe PPG
Tyler Motte
NTDP-U18 · 2012-13 · 0.67 PPG
→ Michigan (0.53 D1 FR PPG)
0.48 Average
NCAAe PPG
Vinni Lettieri
USHL · 2012-13 · 0.92 PPG
→ Minnesota (0.22 D1 FR PPG)
0.56 Developing
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2016-17
1.067 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Jared Goudreau
Southern New Hampshire · 2014-15
0.833 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.