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Ty Kraus Elite Prospects ↗

Position: Forward DOB: 1995-07-07 Country: Canada
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 Selkirk Steelers MJHL 31 6 16 22 0.710 0.2008 0.2090 0.4472 0.4654
2014-15 Selkirk Steelers MJHL 58 17 34 51 0.879 0.2488 0.2460 0.5540 0.5479
2015-16 Selkirk Steelers MJHL 55 18 38 56 1.018 0.2880 0.2697 0.6416 0.6008
■ 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 Northland D3 — SR 25 4 16 20 0.800
2018-19 Northland D3 — JR 27 6 11 17 0.630
2017-18 Northland D3 — SO 21 9 7 16 0.762
2016-17 Northland D3 — FR 25 9 10 19 0.760
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.76
2016-17 · Northland
+241.3% vs. projection

NCAAe Rankings

#14027
Forward overall
#496
Forward born in 1995
#252
in MJHL

D1 Comparables

Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
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
Clint Carlisle
NAHL · 2012-13 · 0.78 PPG
→ Army (0.52 D1 FR PPG)
0.27 Average
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG

D2/3 Comparables

Lawson MacDougall
Hobart · 2015-16
0.750 Strong
actual D2/3 PPG
Ryan Corry
SUNY Plattsburgh · 2006-07
0.900 Strong
actual D2/3 PPG
Devin Brink
SUNY Geneseo · 2015-16
0.654 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.