IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Ryan Doner Elite Prospects ↗

Position: Forward DOB: 1992-04-23 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 St. Cloud Norsemen NAHL 7 1 2 3 0.429 0.1698 0.1757 0.4500 0.4655
2011-12 — NAHL 41 9 10 19 0.463 0.1836 0.1809 0.4865 0.4793
2012-13 Kindersley Klippers SJHL 30 5 16 21 0.700 0.2132 0.1999 0.5188 0.4864
■ 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
2016-17 Wisconsin-River Falls D3 BigTen SR 24 3 11 14 0.583
2015-16 Wisconsin-River Falls D3 BigTen JR 28 6 10 16 0.571
2014-15 Wisconsin-River Falls D3 BigTen SO 24 8 11 19 0.792
2013-14 Wisconsin-River Falls D3 BigTen FR 27 7 12 19 0.704
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.70
2013-14 · Wisconsin-River Falls
+327.5% vs. projection

NCAAe Rankings

#35800
Forward overall
#1348
Forward born in 1992
#3644
in NAHL

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

D2/3 Comparables

Luke Rivera
Fredonia · 2014-15
0.611 Average
actual D2/3 PPG
Chris Jackson
Lake Forest · 2000-01
0.000 No data
actual D2/3 PPG
Ryan Patrick
Stevenson · 2017-18
0.600 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.