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Steven Mordini Elite Prospects ↗

Position: Defense DOB: 1997-12-12 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
2016-17 — NA3HL 38 6 33 39 1.026 0.1135 0.1143 — —
2017-18 New Ulm Steel NA3HL 43 12 23 35 0.814 0.0900 0.0861 0.2579 0.2467
■ 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 Wisconsin-Stout D1 BigTen SO 7 2 1 3 0.429
2020-21 Wisconsin-Stout D3 BigTen SO 7 2 1 3 0.429
2018-19 Wisconsin-Stout D1 BigTen FR 10 0 1 1 0.100
2018-19 Wisconsin-Stout D3 BigTen FR 10 0 1 1 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.10
2018-19 · Wisconsin-Stout
+8.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
18%
Other

NCAAe Rankings

#6222
Defenseman overall
#1229
Defenseman born in 1997
#855
in NA3HL

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Kyle McKenzie
USHL · 2012-13 · 0.14 PPG
→ Providence (0.15 D1 FR PPG)
0.08 Average D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Matt Fuller
OHL · 2012-13 · 0.11 PPG
→ Southern Maine (0.17 D1 FR PPG)
0.06 Average D
NCAAe PPG

D2/3 Comparables

Peter Karavos
Wisconsin-River Falls · 2015-16
0.586 Average
actual D2/3 PPG
Mike Dockry
St. Thomas · 2012-13
0.579 Average
actual D2/3 PPG
Joey Sardina
Lake Forest · 2016-17
0.593 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.