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Noah Batis Elite Prospects ↗

Position: Forward DOB: 1995-01-29 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
2011-12 Muskegon Lumberjacks USHL 4 1 0 1 0.250 0.1475 0.1605 0.7509 0.8169
2013-14 Port Huron Fighting Falcons NAHL 51 11 10 21 0.412 0.1513 0.1548 0.4347 0.4448
2014-15 Keystone Ice Miners NAHL 56 16 6 22 0.393 0.1444 0.1402 0.4147 0.4026
2015-16 Jersey Hitmen USPHL-Premier-Classic 20 4 12 16 0.800 0.2246 0.2115 0.6578 0.6194
■ 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
2017-18 SUNY Plattsburgh D3 SUNYAC SO 16 3 3 6 0.375
2016-17 SUNY Plattsburgh D3 SUNYAC FR 17 3 1 4 0.235
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.24
2016-17 · SUNY Plattsburgh
+50.3% vs. projection

NCAAe Rankings

#11483
Forward overall
#469
Forward born in 1995

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Cory Dunn
Adrian · 2014-15
1.069 Elite
actual D2/3 PPG
Brandon Laidlaw
Utica · 2005-06
0.762 Strong
actual D2/3 PPG
Thomas Pisciotta
Endicott · 2014-15
0.704 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.