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Rhett Gardner Elite Prospects ↗

Position: Forward DOB: 1996-02-28 Country: Canada
2016 · Round 4, Pick #116  ·  Dallas Stars Dallas Stars
Signed Professionally

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
2012-13 Green Bay Gamblers USHL 1 0 0 0 0.000 — — — —
2013-14 Okotoks Oilers AJHL 52 13 24 37 0.712 0.2386 0.2533 0.6584 0.6989
2014-15 Okotoks Oilers AJHL 54 24 30 54 1.000 0.3354 0.3382 0.9254 0.9332
■ 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
2018-19 North Dakota D1 NCHC SR 37 8 7 15 0.405
2017-18 North Dakota D1 NCHC JR 33 7 13 20 0.606
2016-17 North Dakota D1 NCHC SO 38 8 13 21 0.553
2015-16 North Dakota D1 NCHC FR 41 11 7 18 0.439
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.44
2015-16 · North Dakota
+68.6% vs. projection

NCAAe Rankings

D1 Comparables

Willem Nong-Lambert
USHL · 2012-13 · 0.59 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG
Zach Aman
USHL · 2012-13 · 0.52 PPG
→ Colorado College (0.11 D1 FR PPG)
0.31 Developing
NCAAe PPG
Kyle Schmidt
USHL · 2012-13 · 0.57 PPG
→ Bentley (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Christian Heil
USHL · 2012-13 · 0.62 PPG
→ Colorado College (0.04 D1 FR PPG)
0.36 Developing
NCAAe PPG
Cam Darcy
USHL · 2012-13 · 0.69 PPG
→ Northeastern (0.22 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Dave McKenna
Elmira · 2004-05
0.560 Average
actual D2/3 PPG
Jack Wandmacher
Saint John's · 2019-20
0.560 Average
actual D2/3 PPG
Connor Mahony
Gustavus Adolphus · 2021-22
0.500 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.