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Mathew Ward Elite Prospects ↗

Position: Forward DOB: 2004-01-24 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
2019-20 Swift Current Broncos WHL 1 0 0 0 0.000 — — — —
2020-21 Swift Current Broncos WHL 23 6 16 22 0.957 0.4653 0.4653 2.3470 2.3470
2021-22 Swift Current Broncos WHL 64 22 35 57 0.891 0.4333 0.4466 2.1853 2.2525
2022-23 Swift Current Broncos WHL 68 26 48 74 1.088 0.5294 0.5210 2.6701 2.6277
2023-24 Swift Current Broncos WHL 43 19 36 55 1.279 0.6223 0.5818 3.1385 2.9341
2024-25 Medicine Hat Tigers WHL 64 19 25 44 0.688 0.3345 0.2948 1.6869 1.4869
■ 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 Northern Michigan D1 CCHA FR 27 2 6 8 0.296
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.35
before college
→
Actual FR PPG
0.30
2025-26 · Northern Michigan
-15.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
0%
NCAA D2/D3
38%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#6573
Forward overall
#221
Forward born in 2004
#203
in WHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG

D2/3 Comparables

Matt Dimaline
Neumann · 2023-24
1.308 Elite
actual D2/3 PPG
A.J. Tucker
St. Scholastica · 2004-05
1.111 Elite
actual D2/3 PPG
Ryan Cusin
UMass Boston · 2015-16
1.600 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.