| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Burlington Cougars | OJHL | 52 | 9 | 34 | 43 | 0.827 | 0.2027 | 0.2090 | 0.5693 | 0.5870 |
| 2016-17 | Omaha Lancers | USHL | 27 | 0 | 2 | 2 | 0.074 | 0.0437 | 0.0428 | 0.2226 | 0.2181 |
| 2017-18 | Odessa Jackalopes | NAHL | 60 | 9 | 31 | 40 | 0.667 | 0.2449 | 0.2354 | 0.7037 | 0.6765 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Niagara | D1 | AHA | SR | 36 | 5 | 10 | 15 | 0.417 |
| 2020-21 | Niagara | D1 | AHA | JR | 14 | 1 | 3 | 4 | 0.286 |
| 2019-20 | Niagara | D1 | AHA | SO | 30 | 1 | 4 | 5 | 0.167 |
| 2018-19 | Niagara | D1 | AHA | FR | 31 | 0 | 7 | 7 | 0.226 |
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.