| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Indiana Ice | USHL | 47 | 15 | 26 | 41 | 0.872 | 0.5146 | 0.5736 | 2.6199 | 2.9203 |
| 2014-15 | Fargo Force | USHL | 53 | 18 | 22 | 40 | 0.755 | 0.4452 | 0.4744 | 2.2667 | 2.4152 |
| 2015-16 | Fargo Force | USHL | 60 | 29 | 32 | 61 | 1.017 | 0.5998 | 0.6112 | 3.0536 | 3.1117 |
| 2020-21 | SKA-VMF St. Petersburg | VHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Penn State | D1 | BigTen | SR | 31 | 8 | 11 | 19 | 0.613 |
| 2018-19 | Penn State | D1 | BigTen | JR | 37 | 8 | 14 | 22 | 0.595 |
| 2017-18 | Penn State | D1 | BigTen | SO | 30 | 15 | 12 | 27 | 0.900 |
| 2016-17 | Penn State | D1 | BigTen | FR | 39 | 19 | 28 | 47 | 1.205 |
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.