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Daniel Gysi Elite Prospects ↗

Position: Defense DOB: 1996-10-20 Country: Switzerland
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 Springfield Jr. Pics USPHL-Premier-Classic 45 1 10 11 0.244 0.0686 0.0739 0.2013 0.2168
2015-16 Utica Jr. Comets USPHL-Premier-Classic 40 1 9 10 0.250 0.0702 0.0722 0.2059 0.2116
■ 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 Lawrence D1 ECAC SR 25 0 11 11 0.440
2019-20 Lawrence D3 NCHA SR 25 0 11 11 0.440
2018-19 Lawrence D1 ECAC JR 25 2 7 9 0.360
2018-19 Lawrence D3 NCHA JR 25 2 7 9 0.360
2017-18 Lawrence D3 NCHA SO 22 0 6 6 0.273
2016-17 Lawrence D3 NCHA FR 24 2 7 9 0.375
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.07
before college
→
Actual FR PPG
0.38
2016-17 · Lawrence
+445.1% vs. projection

NCAAe Rankings

#22262
Defenseman overall
#2549
Defenseman born in 1996
#285
in USPHL-Premier-Classic

D1 Comparables

Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Cliff Watson
USHL · 2012-13 · 0.18 PPG
→ Michigan Tech (0.10 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.15 Strong D
NCAAe PPG

D2/3 Comparables

Noel Rahn
Saint John's · 2021-22
0.000 No data
actual D2/3 PPG
Ryan Lieth
SUNY Potsdam · 2017-18
0.458 Average
actual D2/3 PPG
Eric Witzel
SUNY Oswego · 2011-12
0.000 No data
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.