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Dana Engram Elite Prospects ↗

Position: Forward DOB: 1997-05-24 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 New Jersey Rockets EHL 41 7 6 13 0.317 0.0733 0.0804 0.1552 0.1703
2016-17 Boston Jr. Bandits EHL 22 1 1 2 0.091 0.0210 0.0212 — —
2017-18 — CCHL 36 10 10 20 0.556 0.1205 0.1108 0.4299 0.3951
■ 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
2021-22 St. Olaf D3 MIAC — 8 0 0 0 0.000
2020-21 St. Olaf D1 MIAC JR 2 0 1 1 0.500
2020-21 St. Olaf D3 MIAC — 2 0 1 1 0.500
2019-20 St. Olaf D1 MIAC SO 12 0 2 2 0.167
2019-20 St. Olaf D3 MIAC — 12 0 2 2 0.167
2018-19 St. Lawrence D1 ECAC — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
20%
NCAA D2/D3
52%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#43524
Forward overall
#2150
Forward born in 1997

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
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
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Josh Miller
Fitchburg State · 2018-19
0.462 Average
actual D2/3 PPG
Michael Falanga
SUNY Plattsburgh · 2016-17
0.579 Average
actual D2/3 PPG
Thomas Dunn
Fredonia · 2015-16
0.429 Average
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.