| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Battlefords North Stars | SJHL | 57 | 27 | 46 | 73 | 1.281 | 0.3700 | 0.3720 | 0.9641 | 0.9692 |
| 2016-17 | Omaha Lancers | USHL | 5 | 0 | 1 | 1 | 0.200 | 0.1274 | 0.1178 | 0.5993 | 0.5544 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Norwich | D3 | LittleEast | JR | 26 | 10 | 18 | 28 | 1.077 |
| 2018-19 | Norwich | D3 | LittleEast | SO | 29 | 9 | 20 | 29 | 1.000 |
| 2017-18 | Norwich | D3 | LittleEast | FR | 25 | 11 | 14 | 25 | 1.000 |
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.