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Meirs Moore Elite Prospects ↗

Position: Defense DOB: 1994-12-04 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
2012-13 Sioux City Musketeers USHL 9 0 0 0 0.000 — — — —
2013-14 — USHL 51 4 6 10 0.196 0.1157 0.1134 0.5890 0.5774
2014-15 Victoria Grizzlies BCHL 58 7 40 47 0.810 0.3122 0.2992 1.1792 1.1300
■ 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 RPI D1 ECAC SR 30 2 2 4 0.133
2018-19 Rensselaer D1 — SR 30 2 2 4 0.133
2017-18 RPI D1 ECAC JR 19 1 3 4 0.210
2016-17 RPI D1 ECAC SO 17 0 2 2 0.118
2015-16 RPI D1 ECAC FR 39 2 5 7 0.179
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.18
2015-16 · RPI
-15.4% vs. projection

NCAAe Rankings

#5482
Defenseman overall
#953
Defenseman born in 1994

D1 Comparables

Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG

D2/3 Comparables

Tommy Malkmus
Finlandia · 2013-14
0.409 Average
actual D2/3 PPG
Ross Olsson
Endicott · 2014-15
1.364 Elite
actual D2/3 PPG
Dustin Norman
Wisconsin-River Falls · 2004-05
0.850 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.