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Nick Tabisz Elite Prospects ↗

Position: Defense DOB: 1987-07-01 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
2005-06 Green Bay Gamblers USHL 55 9 4 13 0.236 0.1395 0.1419 0.6965 0.7086
2006-07 Green Bay Gamblers USHL 60 11 9 20 0.333 0.1966 0.1899 0.9820 0.9486
■ 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
2010-11 St. Norbert D3 NCHA SR 29 9 12 21 0.724
2009-10 St. Norbert D3 — JR 30 8 16 24 0.800
2008-09 St. Norbert D3 — SO 28 11 17 28 1.000
2007-08 St. Norbert D3 — FR 31 9 16 25 0.806
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.81
2007-08 · St. Norbert
+400.6% vs. projection

NCAAe Rankings

#7938
Defenseman overall
#990
Defenseman born in 1987
#2926
in USHL

D1 Comparables

Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Niklas Nevalainen
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.31 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG

D2/3 Comparables

Chris Berry
Wisconsin-Superior · 2004-05
1.111 Elite
actual D2/3 PPG
Travis Quigley
Southern New Hampshire · 2016-17
0.333 Developing
actual D2/3 PPG
Corey Stark
Wisconsin-Superior · 2004-05
1.038 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.