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Sage Englund Elite Prospects ↗

Position: Forward DOB: 1997-03-04 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
2015-16 Boston Jr. Rangers EHL 6 0 4 4 0.667 0.1540 0.1605 0.3262 0.3399
2016-17 Victoria Grizzlies BCHL 16 2 3 5 0.312 0.1204 0.1163 0.4548 0.4393
2017-18 Northern Cyclones NCDC 49 14 41 55 1.122 0.4576 0.4274 0.9022 0.8428
■ 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 Salve Regina D3 CNE SR 25 3 1 4 0.160
2020-21 Salve Regina D3 CNE JR 0 0 0 0 0.000
2019-20 Salve Regina D1 CNE SO 18 0 0 0 0.000
2019-20 Salve Regina D3 CNE SO 18 0 0 0 0.000
2018-19 Salve Regina D1 CNE FR 13 1 0 1 0.077
2018-19 Salve Regina D3 CNE FR 13 1 0 1 0.077
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.08
2018-19 · Salve Regina
-70.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#9140
Forward overall
#424
Forward born in 1997

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Colin MacCormack
Bowdoin · 2005-06
0.840 Strong
actual D2/3 PPG
J.B. Baker
Nichols · 2015-16
1.482 Elite
actual D2/3 PPG
Henry McKinney
Nazareth · 2018-19
0.536 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.