| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Soo Eagles | NAHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Minnesota Wilderness | NAHL | 44 | 10 | 8 | 18 | 0.409 | 0.1453 | 0.1566 | 0.4295 | 0.4630 |
| 2016-17 | Surrey Eagles | BCHL | 49 | 22 | 20 | 42 | 0.857 | 0.3302 | 0.3344 | 1.2489 | 1.2649 |
| 2017-18 | Lincoln Stars | USHL | 57 | 13 | 21 | 34 | 0.597 | 0.3519 | 0.3319 | 1.7574 | 1.6575 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Penn State | D1 | BigTen | — | 38 | 10 | 7 | 17 | 0.447 |
| 2021-22 | North Dakota | D1 | NCHC | — | 34 | 11 | 10 | 21 | 0.618 |
| 2020-21 | Lake Superior State | D1 | WCHA | JR | 29 | 16 | 13 | 29 | 1.000 |
| 2019-20 | Lake Superior State | D1 | WCHA | SO | 41 | 12 | 16 | 28 | 0.683 |
| 2018-19 | Lake Superior State | D1 | WCHA | FR | 37 | 5 | 17 | 22 | 0.595 |
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.