| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Des Moines Buccaneers | USHL | 35 | 1 | 5 | 6 | 0.171 | 0.1054 | 0.1047 | 0.5050 | 0.5014 |
| 2014-15 | Des Moines Buccaneers | USHL | 59 | 7 | 30 | 37 | 0.627 | 0.3855 | 0.3638 | 1.8476 | 1.7438 |
| 2015-16 | Des Moines Buccaneers | USHL | 58 | 5 | 32 | 37 | 0.638 | 0.3921 | 0.3519 | 1.8794 | 1.6865 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Bowling Green | D1 | WCHA | SR | 38 | 11 | 24 | 35 | 0.921 |
| 2018-19 | Bowling Green | D1 | WCHA | JR | 41 | 4 | 22 | 26 | 0.634 |
| 2017-18 | Bowling Green | D1 | WCHA | SO | 41 | 9 | 30 | 39 | 0.951 |
| 2016-17 | Bowling Green | D1 | WCHA | FR | 39 | 5 | 17 | 22 | 0.564 |
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.