| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Austin Bruins | NAHL | 12 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Cedar Rapids RoughRiders | USHL | 56 | 3 | 8 | 11 | 0.196 | 0.1159 | 0.1128 | 0.5899 | 0.5742 |
| 2016-17 | Cedar Rapids RoughRiders | USHL | 45 | 4 | 12 | 16 | 0.356 | 0.2098 | 0.1935 | 1.0680 | 0.9850 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Minnesota State | D1 | WCHA | SR | 24 | 1 | 12 | 13 | 0.542 |
| 2019-20 | Minnesota State | D1 | WCHA | JR | 37 | 3 | 8 | 11 | 0.297 |
| 2018-19 | Minnesota State | D1 | WCHA | SO | 39 | 1 | 8 | 9 | 0.231 |
| 2017-18 | Minnesota State | D1 | WCHA | FR | 35 | 2 | 5 | 7 | 0.200 |
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.