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Kyle Wagner Elite Prospects ↗

Position: Forward DOB: 1996-01-19 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
2014-15 New Ulm Steel NA3HL 46 14 19 33 0.717 0.1650 0.1669 0.2273 0.2299
2015-16 Minnesota Magicians NAHL 43 7 12 19 0.442 0.1751 0.1707 0.4640 0.4524
■ 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
2019-20 Saint John's D1 — SR 26 6 18 24 0.923
2019-20 Saint John's D3 — SR 26 6 18 24 0.923
2018-19 Saint John's D1 — JR 27 4 21 25 0.926
2018-19 Saint John's D3 — JR 27 4 21 25 0.926
2017-18 Saint John's D3 — SO 26 4 12 16 0.615
2016-17 Saint John's D3 — FR 25 2 10 12 0.480
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.48
2016-17 · Saint John's
+231.5% vs. projection

NCAAe Rankings

#27951
Forward overall
#1146
Forward born in 1996

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG

D2/3 Comparables

Niko Happo
Manhattanville · 2016-17
0.518 Average
actual D2/3 PPG
Tristan Simm
Chatham · 2016-17
0.480 Average
actual D2/3 PPG
Hayden Haffey
UMass Boston · 2010-11
1.000 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.