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Dan Galvez Elite Prospects ↗

Position: Forward DOB: 1996-06-19 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 Philadelphia Flyers Elite USPHL-Premier-Classic 34 9 5 14 0.412 0.1156 0.1169 0.3392 0.3430
2016-17 — USPHL-Premier-Classic 40 5 5 10 0.250 0.0702 0.0676 0.2059 0.1981
■ 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
2020-21 Lebanon Valley D3 MAC SR 6 0 1 1 0.167
2019-20 Lebanon Valley D3 MAC JR 25 7 8 15 0.600
2018-19 Lebanon Valley D3 MAC SO 26 2 4 6 0.231
2017-18 Lebanon Valley D3 MAC FR 9 1 1 2 0.222
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.22
2017-18 · Lebanon Valley
+197.5% vs. projection

NCAAe Rankings

#49049
Forward overall
#2290
Forward born in 1996
#242
in USPHL-Premier-Classic

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG

D2/3 Comparables

Beau Orser
SUNY Oswego · 2012-13
0.714 Strong
actual D2/3 PPG
Avery Huibregtse
Finlandia · 2014-15
0.333 Developing
actual D2/3 PPG
Levi Cudmore
Wisconsin-Superior · 2017-18
0.167 Developing
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.