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Patrick Polino Elite Prospects ↗

Position: Forward DOB: 1995-04-11 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
2011-12 Chicago Steel USHL 3 0 1 1 0.333 0.1966 0.2158 1.0010 1.0988
2012-13 Chicago Steel USHL 60 9 15 24 0.400 0.2360 0.2465 1.2014 1.2549
2013-14 — USHL 46 6 7 13 0.283 0.1667 0.1663 0.8488 0.8469
2014-15 Lincoln Stars USHL 60 15 18 33 0.550 0.3244 0.3077 1.6519 1.5670
2015-16 Lincoln Stars USHL 39 13 16 29 0.744 0.4386 0.3957 2.2333 2.0147
■ 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 RPI D1 ECAC SR 34 11 8 19 0.559
2019-20 Rensselaer D1 — SR 34 11 8 19 0.559
2018-19 RPI D1 ECAC JR 24 7 4 11 0.458
2018-19 Rensselaer D1 — JR 24 7 4 11 0.458
2017-18 RPI D1 ECAC SO 36 2 9 11 0.306
2016-17 RPI D1 ECAC FR 37 4 7 11 0.297
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.31
before college
→
Actual FR PPG
0.30
2016-17 · RPI
-3.7% vs. projection

NCAAe Rankings

#11837
Forward overall
#482
Forward born in 1995
#1086
in USHL

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
T.J. Sarcona
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG

D2/3 Comparables

Joseph Sposit
Nichols · 2010-11
0.778 Strong
actual D2/3 PPG
Ryan Bloom
University of New England · 2013-14
1.654 Elite
actual D2/3 PPG
Ryan Woodward
SUNY Oswego · 2001-02
1.226 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.