| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Fairbanks Ice Dogs | NAHL | 59 | 20 | 18 | 38 | 0.644 | 0.2366 | 0.2388 | 0.6798 | 0.6861 |
| 2017-18 | Fairbanks Ice Dogs | NAHL | 60 | 17 | 44 | 61 | 1.017 | 0.3735 | 0.3585 | 1.0731 | 1.0301 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Adrian | D3 | NCHA | — | 24 | 7 | 11 | 18 | 0.750 |
| 2021-22 | Adrian | D3 | NCHA | — | 29 | 10 | 20 | 30 | 1.034 |
| 2020-21 | Ferris State | D1 | WCHA | JR | 2 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Ferris State | D1 | WCHA | SO | 31 | 2 | 5 | 7 | 0.226 |
| 2018-19 | Ferris State | D1 | WCHA | FR | 34 | 7 | 6 | 13 | 0.382 |
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.