| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Lincoln Stars | USHL | 18 | 0 | 2 | 2 | 0.111 | 0.0655 | 0.0692 | 0.3337 | 0.3526 |
| 2013-14 | Lincoln Stars | USHL | 58 | 10 | 19 | 29 | 0.500 | 0.2949 | 0.2978 | 1.5017 | 1.5164 |
| 2014-15 | — | USHL | 57 | 8 | 15 | 23 | 0.404 | 0.2380 | 0.2286 | 1.2119 | 1.1642 |
| 2015-16 | — | USHL | 54 | 11 | 8 | 19 | 0.352 | 0.2076 | 0.1898 | 1.0569 | 0.9662 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Lake Superior State | D1 | WCHA | SR | 41 | 22 | 13 | 35 | 0.854 |
| 2018-19 | Lake Superior State | D1 | WCHA | JR | 36 | 16 | 17 | 33 | 0.917 |
| 2017-18 | Lake Superior State | D1 | WCHA | SO | 36 | 13 | 10 | 23 | 0.639 |
| 2016-17 | Lake Superior State | D1 | WCHA | FR | 36 | 13 | 7 | 20 | 0.556 |
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.