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Donovan Ott Elite Prospects ↗

Position: Forward DOB: 1997-02-21 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
2014-15 Wenatchee Wild NAHL 43 3 4 7 0.163 0.0598 0.0642 0.1718 0.1845
2015-16 Surrey Eagles BCHL 46 10 8 18 0.391 0.1508 0.1532 0.5695 0.5784
2016-17 Johnstown Tomahawks NAHL 57 32 25 57 1.000 0.3674 0.3584 — —
2017-18 Muskegon Lumberjacks USHL 6 0 0 0 0.000 — — — —
■ 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
2019-20 Utica D1 UCHC JR 29 11 18 29 1.000
2019-20 Utica D3 UCHC JR 29 11 18 29 1.000
2018-19 RPI D1 ECAC SO 24 2 2 4 0.167
2018-19 Rensselaer D1 — SO 24 2 2 4 0.167
2017-18 RPI D1 ECAC FR 13 3 1 4 0.308
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.31
2017-18 · RPI
+30.1% vs. projection

NCAAe Rankings

#14131
Forward overall
#637
Forward born in 1997

D1 Comparables

Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG

D2/3 Comparables

Brendan Sjostedt
Albertus Magnus · 2018-19
0.667 Strong
actual D2/3 PPG
Jack Costanzo
Endicott · 2022-23
0.696 Strong
actual D2/3 PPG
Darion Benchich
Lebanon Valley · 2019-20
0.857 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.