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Connor McIntosh Elite Prospects ↗

Position: Forward DOB: 1998-04-15 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 Battlefords North Stars SJHL 19 1 2 3 0.158 0.0405 0.0418 0.1190 0.1228
2017-18 Battlefords North Stars SJHL 31 4 11 15 0.484 0.1240 0.1223 0.3648 0.3598
■ 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
2018-19 Anna Maria D1 MASCAC FR 21 4 4 8 0.381
2018-19 Anna Maria D3 MASCAC — 21 4 4 8 0.381
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.38
2018-19 · Anna Maria
+394.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
2%
NCAA D2/D3
88%
Pro / Other

NCAAe Rankings

#45505
Forward overall
#2447
Forward born in 1998
#1352
in SJHL

D1 Comparables

William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Joseph Miller
Fitchburg State · 2014-15
0.333 Developing
actual D2/3 PPG
Drew Anderson
Augsburg · 2012-13
0.680 Strong
actual D2/3 PPG
Joe Kleven
Wisconsin-Stout · 2014-15
0.414 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.