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Ryan Bloom Elite Prospects ↗

Position: Forward DOB: 1993-03-23 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
2009-10 Wenatchee Wild WHL 1 0 0 0 0.000 — — — —
2010-11 — WHL 29 1 1 2 0.069 0.0335 0.0350 0.1684 0.1758
2011-12 Drumheller Dragons AJHL 53 17 28 45 0.849 0.2836 0.2887 0.7882 0.8023
2012-13 Drumheller Dragons AJHL 56 22 29 51 0.911 0.3042 0.2940 0.8454 0.8172
2013-14 Fort McMurray Oil Barons AJHL 58 27 45 72 1.241 0.4146 0.3792 1.1524 1.0541
■ 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 New England D3 — SR 26 14 22 36 1.385
2018-19 New England D3 — JR 29 22 21 43 1.483
2017-18 New England D3 — SO 29 19 28 47 1.621
2016-17 New England D3 — FR 26 20 23 43 1.654
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
1.65
2016-17 · New England
+459.9% vs. projection

NCAAe Rankings

#7492
Forward overall
#280
Forward born in 1993

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.40 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.38 Average
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.46 Strong
NCAAe PPG

D2/3 Comparables

Matt Volonnino
Plymouth State · 2014-15
1.056 Elite
actual D2/3 PPG
Zack Bross
UMass Boston · 2016-17
1.518 Elite
actual D2/3 PPG
Brett Everson
Utica · 2016-17
0.895 Strong
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.