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Travis Marit Elite Prospects ↗

Position: Forward DOB: 1993-11-11 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
2011-12 Weyburn Red Wings SJHL 1 0 0 0 0.000 — — — —
2012-13 Battlefords North Stars SJHL 27 4 4 8 0.296 0.0903 0.0917 0.2196 0.2229
2013-14 Winkler Flyers MJHL 56 20 22 42 0.750 0.2039 0.1954 0.4727 0.4530
■ 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
2017-18 Concordia D3 MIAC SR 20 1 4 5 0.250
2017-18 Concordia (WI) D3 — SR 20 1 4 5 0.250
2016-17 Concordia D3 MIAC JR 16 2 1 3 0.188
2016-17 Concordia (WI) D3 — JR 16 2 1 3 0.188
2015-16 Concordia D3 MIAC SO 16 1 2 3 0.188
2015-16 Concordia (WI) D3 — SO 16 1 2 3 0.188
2014-15 Concordia D3 MIAC FR 17 2 1 3 0.176
2014-15 Concordia (WI) D3 — FR 17 2 1 3 0.176
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.18
2014-15 · Concordia
+33.9% vs. projection

NCAAe Rankings

#35362
Forward overall
#1234
Forward born in 1993

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Todd Jackson
Norwich · 2015-16
0.379 Average
actual D2/3 PPG
Kyle Stroh
St. Norbert · 2008-09
0.481 Average
actual D2/3 PPG
Alex Timm
Finlandia · 2018-19
0.000 No data
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.