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Francesco Iasenza Elite Prospects ↗

Position: Defense DOB: 2004-07-11 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
2020-21 Moncton Wildcats QMJHL 21 1 4 5 0.238 0.1170 0.1170 0.6358 0.6358
2021-22 Moncton Wildcats QMJHL 64 2 16 18 0.281 0.1382 0.1466 0.7509 0.7966
2022-23 — QMJHL 63 6 19 25 0.397 0.1949 0.1972 1.0596 1.0724
2023-24 Victoriaville Tigres QMJHL 67 7 18 25 0.373 0.1833 0.1765 0.9963 0.9592
2024-25 Victoriaville Tigres QMJHL 59 5 19 24 0.407 0.1999 0.1826 1.0863 0.9924
■ 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
2025-26 Mercyhurst D1 AHA FR 29 1 5 6 0.207
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.21
2025-26 · Mercyhurst
+21.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
18%
NCAA D2/D3
32%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#7259
Defenseman overall
#1740
Defenseman born in 2004
#876
in QMJHL

D1 Comparables

Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG

D2/3 Comparables

Tommy Besinger
Endicott · 2014-15
1.143 Elite
actual D2/3 PPG
Jared Goudreau
Southern New Hampshire · 2015-16
0.833 Strong
actual D2/3 PPG
Jack Campion
Saint Mary's (MN) · 2021-22
0.480 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.