icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | U.S. National U17 Team | NTDP-U18 | 45 | 2 | 8 | 10 | 0.222 | 0.1767 | 0.1804 | 0.8322 | 0.8498 |
| 2012-13 | — | NTDP-U18 | 54 | 1 | 9 | 10 | 0.185 | 0.1473 | 0.1427 | 0.6936 | 0.6720 |
| 2014-15 | Muskegon Lumberjacks | USHL | 44 | 9 | 18 | 27 | 0.614 | 0.3907 | 0.3693 | 1.8388 | 1.7380 |
| 2015-16 | — | USHL | 53 | 11 | 24 | 35 | 0.660 | 0.4205 | 0.3779 | 1.9790 | 1.7785 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Penn State | D1 | BigTen | SR | 38 | 6 | 23 | 29 | 0.763 |
| 2016-17 | Penn State | D1 | BigTen | JR | 39 | 6 | 20 | 26 | 0.667 |
| 2014-15 | Miami | D1 | NCHC | SO | 1 | 0 | 0 | 0 | 0.000 |
| 2013-14 | Miami | D1 | NCHC | FR | 30 | 0 | 5 | 5 | 0.167 |
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.