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Ty Readman Elite Prospects ↗

Position: Forward DOB: 1998-01-05 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
2014-15 Sherwood Park Crusaders AJHL 9 1 1 2 0.222 0.0745 0.0820 0.2059 0.2267
2015-16 Sherwood Park Crusaders AJHL 56 12 24 36 0.643 0.2156 0.2274 0.5958 0.6283
2016-17 Sherwood Park Crusaders AJHL 59 23 45 68 1.153 0.3865 0.3888 1.0681 1.0743
2017-18 Sherwood Park Crusaders AJHL 49 19 46 65 1.327 0.4449 0.4224 1.2294 1.1674
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
2022-23 Wisconsin-Eau Claire D3 WIAC SR 25 4 13 17 0.680
2021-22 Wisconsin-Eau Claire D3 WIAC SR 26 10 11 21 0.808
2020-21 Northern Michigan D1 WCHA JR 23 1 1 2 0.087
2019-20 Northern Michigan D1 WCHA SO 38 4 15 19 0.500
2018-19 Northern Michigan D1 WCHA FR 34 4 9 13 0.382
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
Actual FR PPG
0.38
2018-19 · Northern Michigan
+9.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
2%
NCAA D2/D3
22%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#10382
Forward overall
#469
Forward born in 1998
#132
in AJHL

D1 Comparables

USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.41 Strong
NCAAe PPG
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.44 Average
NCAAe PPG
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

SUNY Cortland · 2015-16
0.760 Strong
actual D2/3 PPG
Curry · 2007-08
1.074 Elite
actual D2/3 PPG
St. Scholastica · 2006-07
1.036 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.