| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Bismarck Bobcats | NAHL | 4 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Bismarck Bobcats | NAHL | 59 | 23 | 36 | 59 | 1.000 | 0.3674 | 0.3680 | 1.0555 | 1.0573 |
| 2017-18 | Youngstown Phantoms | USHL | 57 | 17 | 37 | 54 | 0.947 | 0.5589 | 0.5148 | 2.8454 | 2.6209 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Miami | D1 | NCHC | SR | 36 | 8 | 15 | 23 | 0.639 |
| 2020-21 | Miami | D1 | NCHC | JR | 25 | 2 | 15 | 17 | 0.680 |
| 2019-20 | Miami | D1 | NCHC | SO | 17 | 3 | 8 | 11 | 0.647 |
| 2018-19 | Holy Cross | D1 | AHA | FR | 13 | 4 | 7 | 11 | 0.846 |
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.