| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Trenton Golden Hawks | OJHL | 50 | 9 | 20 | 29 | 0.580 | 0.1621 | 0.1681 | 0.4003 | 0.4150 |
| 2017-18 | Trenton Golden Hawks | OJHL | 41 | 19 | 19 | 38 | 0.927 | 0.2589 | 0.2560 | 0.6396 | 0.6323 |
| 2018-19 | Odessa Jackalopes | NAHL | 25 | 9 | 10 | 19 | 0.760 | 0.2822 | 0.2729 | 0.8047 | 0.7782 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Adrian | D3 | NCHA | SR | 31 | 17 | 17 | 34 | 1.097 |
| 2020-21 | Adrian | D3 | NCHA | JR | 23 | 14 | 13 | 27 | 1.174 |
| 2019-20 | Adrian | D3 | NCHA | SO | 23 | 13 | 6 | 19 | 0.826 |
| 2018-19 | Adrian | D3 | NCHA | FR | 14 | 1 | 3 | 4 | 0.286 |
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.