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Ryan Kheir Elite Prospects ↗

Position: Forward DOB: 1997-04-18 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
2015-16 Richmond Generals USPHL-Elite 5 0 1 1 0.200 0.0149 0.0154 0.0458 0.0474
2016-17 Connecticut Jr. Rangers USPHL-Premier-Classic 16 1 1 2 0.125 0.0351 0.0352 0.1028 0.1032
2017-18 — EHL 40 2 16 18 0.450 0.0659 0.0624 0.2204 0.2088
■ 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 Becker D3 — FR 7 1 1 2 0.286
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.29
2018-19 · Becker
+547.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#45256
Forward overall
#2247
Forward born in 1997

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

William Platt
New England College · 2014-15
0.000 No data
actual D2/3 PPG
Connor Mariner
Wisconsin-Stout · 2023-24
0.333 Developing
actual D2/3 PPG
Brandon Cimino
Trinity · 2021-22
0.250 Developing
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.