| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Battlefords North Stars | SJHL | 51 | 2 | 25 | 27 | 0.529 | 0.1356 | 0.1371 | 0.3991 | 0.4036 |
| 2014-15 | Battlefords North Stars | SJHL | 53 | 5 | 22 | 27 | 0.509 | 0.1305 | 0.1251 | 0.3840 | 0.3682 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Norwich | D3 | LittleEast | — | 22 | 0 | 4 | 4 | 0.182 |
| 2017-18 | Norwich | D3 | LittleEast | — | 25 | 2 | 5 | 7 | 0.280 |
| 2016-17 | Norwich | D3 | LittleEast | — | 28 | 3 | 1 | 4 | 0.143 |
| 2015-16 | Air Force | D1 | AHA | — | 0 | 0 | 0 | 0 | 0.000 |
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.