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Zach Metsa Elite Prospects ↗

Position: Defense DOB: 1998-10-19 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 — USHL 2 0 0 0 0.000 — — — —
2015-16 — USHL 2 0 0 0 0.000 — — — —
2016-17 — BCHL 57 3 24 27 0.474 0.1825 0.1911 0.6894 0.7220
2017-18 — USHL 60 4 20 24 0.400 0.2360 0.2307 1.2014 1.1746
■ 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
2022-23 Quinnipiac D1 ECAC GR 40 9 28 37 0.925
2021-22 Quinnipiac D1 ECAC SR 42 10 27 37 0.881
2020-21 Quinnipiac D1 ECAC JR 29 5 21 26 0.897
2019-20 Quinnipiac D1 ECAC SO 34 5 12 17 0.500
2018-19 Quinnipiac D1 ECAC FR 32 2 2 4 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.12
2018-19 · Quinnipiac
-38.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
5%
NCAA D2/D3
38%
Pro / Other

NCAAe Rankings

#5939
Defenseman overall
#1266
Defenseman born in 1998
#2490
in USHL

D1 Comparables

Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Nelson Armstrong
OHL · 2012-13 · 0.52 PPG
→ St. Lawrence (0.19 D1 FR PPG)
0.29 Average D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG
Mike McKee
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.28 Developing D
NCAAe PPG

D2/3 Comparables

Jakob Breault
Utica · 2018-19
1.044 Elite
actual D2/3 PPG
Tyler Miller
St. Scholastica · 2007-08
0.852 Strong
actual D2/3 PPG
Alessio Luciani
Adrian · 2017-18
1.103 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.