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Jordan Watt Elite Prospects ↗

Position: Forward DOB: 1993-06-24 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
2010-11 Victoriaville Tigres QMJHL 11 0 0 0 0.000 — — — —
2011-12 Alaska Avalanche NAHL 45 10 12 22 0.489 0.1737 0.1813 0.5133 0.5357
2012-13 Johnstown Tomahawks NAHL 56 20 17 37 0.661 0.2347 0.2332 0.6937 0.6891
2013-14 Johnstown Tomahawks NAHL 58 22 12 34 0.586 0.2082 0.1964 0.6155 0.5806
■ 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 Stevenson D3 MAC SR 26 4 17 21 0.808
2016-17 Stevenson D3 MAC JR 26 9 8 17 0.654
2015-16 Neumann D3 MAC SO 10 3 2 5 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.50
2015-16 · Neumann
+169.7% vs. projection

NCAAe Rankings

#23318
Forward overall
#802
Forward born in 1993

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.31 Developing
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

Antoine Bélisle
Middlebury · 2018-19
0.545 Average
actual D2/3 PPG
Dan Carlson
Augsburg · 2003-04
1.080 Elite
actual D2/3 PPG
Dom Kuziak
Castleton · 2016-17
0.440 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.