| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Omaha Lancers | USHL | 54 | 2 | 9 | 11 | 0.204 | 0.1202 | 0.1312 | 0.6118 | 0.6679 |
| 2015-16 | — | USHL | 62 | 17 | 24 | 41 | 0.661 | 0.3901 | 0.4077 | 1.9861 | 2.0758 |
| 2016-17 | Fargo Force | USHL | 56 | 24 | 38 | 62 | 1.107 | 0.6531 | 0.6493 | 3.3251 | 3.3056 |
| 2018-19 | Fargo Force | USHL | 60 | 19 | 46 | 65 | 1.083 | 0.6390 | 0.5706 | 3.2536 | 2.9052 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Northern Michigan | D1 | CCHA | — | 32 | 13 | 31 | 44 | 1.375 |
| 2020-21 | Denver | D1 | NCHC | JR | 13 | 5 | 4 | 9 | 0.692 |
| 2019-20 | Denver | D1 | NCHC | SO | 31 | 6 | 10 | 16 | 0.516 |
| 2017-18 | Boston University | D1 | HockeyEast | — | 35 | 2 | 10 | 12 | 0.343 |
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.