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Tyler Gardiner Elite Prospects ↗

Position: Forward DOB: 1997-10-20 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
2015-16 Bay State Breakers USPHL-Elite 1 0 0 0 0.000 — — — —
2016-17 Boston Jr. Rangers EHL 44 7 7 14 0.318 0.0683 0.0702 0.1558 0.1602
2017-18 Boston Jr. Rangers EHL 44 14 15 29 0.659 0.1414 0.1375 0.3228 0.3140
■ 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 Southern Maine D3 NEHC SR 23 3 3 6 0.261
2021-22 Southern Maine D3 NEHC SR 23 3 5 8 0.348
2020-21 Southern Maine D3 HockeyEast JR 4 1 3 4 1.000
2019-20 Southern Maine D3 HockeyEast SO 27 3 3 6 0.222
2018-19 Southern Maine D3 HockeyEast FR 19 2 6 8 0.421
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.42
2018-19 · Southern Maine
+344.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#39220
Forward overall
#1844
Forward born in 1997

D1 Comparables

Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Tony Andrews
Neumann · 2021-22
0.000 No data
actual D2/3 PPG
Mike Manzo
UMass Boston · 2021-22
0.625 Average
actual D2/3 PPG
Brett Zeggil
Castleton · 2008-09
0.316 Developing
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.