| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Lloydminster Bobcats | AJHL | 2 | 1 | 0 | 1 | 0.500 | 0.1670 | 0.1800 | 0.4642 | 0.5004 |
| 2015-16 | — | AJHL | 50 | 8 | 17 | 25 | 0.500 | 0.1670 | 0.1723 | 0.4642 | 0.4788 |
| 2016-17 | Calgary Canucks | AJHL | 54 | 19 | 19 | 38 | 0.704 | 0.2350 | 0.2310 | 0.6532 | 0.6420 |
| 2017-18 | Calgary Canucks | AJHL | 53 | 17 | 26 | 43 | 0.811 | 0.2710 | 0.2511 | 0.7531 | 0.6978 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Lake Forest | D3 | NCHA | SR | 25 | 11 | 21 | 32 | 1.280 |
| 2020-21 | Lake Forest | D3 | NCHA | JR | 6 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Lake Forest | D3 | NCHA | SO | 22 | 15 | 16 | 31 | 1.409 |
| 2018-19 | Lake Forest | D3 | NCHA | FR | 26 | 9 | 5 | 14 | 0.538 |
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.