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Tim Sweeney Elite Prospects ↗

Position: Forward DOB: 1996-12-19 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 South Shore Kings USPHL-Premier-Classic 36 11 6 17 0.472 0.1325 0.1373 0.3883 0.4023
2016-17 South Shore Kings USPHL-Premier-Classic 44 4 17 21 0.477 0.1340 0.1323 0.3925 0.3876
■ 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 Salve Regina D3 CNE SR 0 0 0 0 0.000
2019-20 Salve Regina D3 CNE JR 21 2 3 5 0.238
2018-19 Salve Regina D3 CNE SO 20 1 3 4 0.200
2017-18 Salve Regina D3 CNE FR 30 7 4 11 0.367
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.37
2017-18 · Salve Regina
+218.9% vs. projection

NCAAe Rankings

#39971
Forward overall
#1756
Forward born in 1996
#172
in USPHL-Premier-Classic

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Mac Jansen
Wisconsin-Eau Claire · 2012-13
0.409 Average
actual D2/3 PPG
Bart Moran
Castleton · 2012-13
0.560 Average
actual D2/3 PPG
Joshua Larson
Fitchburg State · 2015-16
0.357 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.