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Jordan Fralich Elite Prospects ↗

Position: Defense DOB: 1996-09-24 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
2014-15 Duluth Marshall School USHS-MN 23 4 21 25 1.087 0.1376 0.1276
2015-16 NAHL 50 2 10 12 0.240 0.0882 0.0890 0.2533 0.2556
2016-17 Bismarck Bobcats NAHL 51 8 26 34 0.667 0.2449 0.2338 0.7037 0.6719
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
2020-21 St. Scholastica D1 MIAC SR 14 4 8 12 0.857
2020-21 St. Scholastica D3 MIAC SR 14 4 8 12 0.857
2019-20 St. Scholastica D1 MIAC JR 23 5 9 14 0.609
2019-20 St. Scholastica D3 MIAC JR 23 5 9 14 0.609
2018-19 St. Scholastica D1 MIAC SO 25 3 21 24 0.960
2018-19 St. Scholastica D3 MIAC SO 25 3 21 24 0.960
2017-18 St. Scholastica D3 MIAC FR 27 6 8 14 0.518
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
Actual FR PPG
0.52
2017-18 · St. Scholastica
+212.3% vs. projection

NCAAe Rankings

#5851
Defenseman overall
#1048
Defenseman born in 1996

D1 Comparables

USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Neumann · 2016-17
0.389 Average
actual D2/3 PPG
Augsburg · 2018-19
0.739 Strong
actual D2/3 PPG
Wisconsin-Stout · 2004-05
0.640 Average
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.