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Matt Chisholm Elite Prospects ↗

Position: Forward DOB: 1996-12-12 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
2016-17 Connecticut Jr. Rangers USPHL-Premier-Classic 37 6 8 14 0.378 0.1062 0.1048 0.3117 0.3075
■ 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 Saint Anselm D2 NE10 SR 0 0 0 0 0.000
2019-20 Saint Anselm D1 — JR 28 8 7 15 0.536
2019-20 Saint Anselm D2 NE10 JR 28 8 7 15 0.536
2018-19 Saint Anselm D1 — SO 29 4 10 14 0.483
2018-19 Saint Anselm D2 NE10 SO 29 4 10 14 0.483
2017-18 Saint Anselm D2 NE10 FR 24 6 2 8 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.33
2017-18 · Saint Anselm
+271.6% vs. projection

NCAAe Rankings

#45281
Forward overall
#2061
Forward born in 1996
#215
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
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
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Wyatt Wurst
St. Scholastica · 2023-24
1.042 Elite
actual D2/3 PPG
Raymond Fleming
St. Olaf · 2018-19
0.000 No data
actual D2/3 PPG
Taylor Murphy
Westfield State · 2009-10
0.458 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.