| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Weyburn Red Wings | SJHL | 49 | 5 | 12 | 17 | 0.347 | 0.1002 | 0.0990 | 0.2611 | 0.2581 |
| 2017-18 | Virden Oil Capitals | MJHL | 35 | 0 | 15 | 15 | 0.429 | 0.1213 | 0.1133 | 0.2701 | 0.2522 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Norwich | D3 | LittleEast | — | 23 | 2 | 21 | 23 | 1.000 |
| 2019-20 | Bryn Athyn | D3 | — | SO | 25 | 9 | 19 | 28 | 1.120 |
| 2018-19 | Bryn Athyn | D3 | — | FR | 23 | 4 | 20 | 24 | 1.044 |
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.