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Tanner Skaja Elite Prospects ↗

Position: Forward DOB: 1995-09-01 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
2013-14 Alexandria Blizzard NA3HL 2 1 0 1 0.500 0.0602 0.0627 0.1580 0.1645
2014-15 Granite City Lumberjacks NA3HL 46 14 34 48 1.044 0.1257 0.1248 0.3296 0.3271
2015-16 Granite City Lumberjacks NA3HL 45 20 30 50 1.111 0.1339 0.1264 0.3510 0.3313
■ 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 Wisconsin-Superior D3 BigTen SO 23 2 8 10 0.435
2016-17 Wisconsin-Superior D3 BigTen FR 25 2 4 6 0.240
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.24
2016-17 · Wisconsin-Superior
+122.8% vs. projection

NCAAe Rankings

#31340
Forward overall
#1304
Forward born in 1995
#620
in NA3HL

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
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Brandon Fackey
New England College · 2004-05
0.792 Strong
actual D2/3 PPG
Brett Brazier
Middlebury · 2008-09
0.222 Developing
actual D2/3 PPG
Wally Cossette
St. John's · 2010-11
0.680 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.