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Mac Olson Elite Prospects ↗

Position: Forward DOB: 1991-08-13 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
2009-10 Chicago Steel USHL 32 3 3 6 0.188 0.1194 0.1208 0.5619 0.5686
2010-11 Wichita Falls Wildcats NAHL 39 19 18 37 0.949 0.3523 0.3522 1.0045 1.0042
2011-12 Des Moines Buccaneers USHL 25 5 3 8 0.320 0.2038 0.1864 0.9589 0.8771
■ 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
2015-16 Hobart D3 SUNYAC SR 28 13 14 27 0.964
2014-15 Hobart D3 SUNYAC JR 22 9 10 19 0.864
2013-14 Hobart D3 SUNYAC SO 27 15 12 27 1.000
2012-13 Hobart D3 SUNYAC FR 26 8 14 22 0.846
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.85
2012-13 · Hobart
+291.2% vs. projection

NCAAe Rankings

#14652
Forward overall
#564
Forward born in 1991
#2217
in USHL

D1 Comparables

Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Matt Boyd
St. Norbert · 2005-06
1.033 Elite
actual D2/3 PPG
Joe Hall
SUNY Oswego · 2006-07
0.560 Average
actual D2/3 PPG
Mike Collins
Elmira · 2011-12
1.000 Elite
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.