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Tanner Karty Elite Prospects ↗

Position: Forward DOB: 1994-08-24 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
2011-12 Des Moines Buccaneers USHL 36 6 2 8 0.222 0.1415 0.1509 0.6659 0.7100
2012-13 Des Moines Buccaneers USHL 45 12 14 26 0.578 0.3679 0.3727 1.7315 1.7541
2013-14 Des Moines Buccaneers USHL 60 13 21 34 0.567 0.3609 0.3487 1.6982 1.6409
2014-15 Des Moines Buccaneers USHL 59 24 19 43 0.729 0.4641 0.4256 2.1840 2.0030
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 Wisconsin-Stevens Point D3 BigTen SR 31 12 25 37 1.194
2017-18 Wisconsin-Stevens Point D3 BigTen JR 30 22 26 48 1.600
2016-17 Wisconsin-Stevens Point D3 BigTen SO 29 10 18 28 0.966
2015-16 Wisconsin-Stevens Point D3 BigTen FR 18 7 8 15 0.833
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
Actual FR PPG
0.83
2015-16 · Wisconsin-Stevens Point
+146.5% vs. projection

NCAAe Rankings

#5036
Forward overall
#199
Forward born in 1994
#794
in USHL

D1 Comparables

NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.42 Developing
NCAAe PPG
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.45 Developing
NCAAe PPG
NAHL · 2012-13 · 1.00 PPG
→ Sacred Heart (0.40 D1 FR PPG)
0.35 Average
NCAAe PPG
NAHL · 2012-13 · 1.14 PPG
→ UConn (0.18 D1 FR PPG)
0.40 Developing
NCAAe PPG
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

SUNY Oswego · 2001-02
1.226 Elite
actual D2/3 PPG
Nichols · 2010-11
0.778 Strong
actual D2/3 PPG
Wilkes · 2017-18
1.385 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.