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Evan Tironese Elite Prospects ↗

Position: Forward DOB: 1995-08-02 Country: Canada
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 Alberni Valley Bulldogs BCHL 60 14 28 42 0.700 0.2697 0.3051 1.0187 1.1525
2012-13 Alberni Valley Bulldogs BCHL 51 19 38 57 1.118 0.4306 0.4668 1.6264 1.7632
2013-14 Green Bay Gamblers USHL 56 10 28 38 0.679 0.4003 0.4056 2.0381 2.0650
2014-15 Alberni Valley Bulldogs BCHL 19 8 25 33 1.737 0.6692 0.6634 2.5276 2.5056
■ 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
2017-18 RPI D1 ECAC JR 36 6 9 15 0.417
2016-17 RPI D1 ECAC SO 32 7 21 28 0.875
2015-16 RPI D1 ECAC FR 6 1 6 7 1.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.52
before college
→
Actual FR PPG
1.17
2015-16 · RPI
+123.7% vs. projection

NCAAe Rankings

#5335
Forward overall
#280
Forward born in 1995
#42
in BCHL

D1 Comparables

J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.59 Developing
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.53 Average
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.55 Elite
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.56 Developing
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.53 Elite
NCAAe PPG

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 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.