| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Elliot Lake Vikings | NOJHL | 39 | 14 | 9 | 23 | 0.590 | 0.0994 | 0.0983 | 0.2450 | 0.2424 |
| 2015-16 | Elliot Lake Vikings | NOJHL | 40 | 18 | 21 | 39 | 0.975 | 0.1644 | 0.1548 | 0.4051 | 0.3814 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Wisconsin-Superior | D3 | BigTen | SR | 29 | 7 | 9 | 16 | 0.552 |
| 2018-19 | Wisconsin-Superior | D3 | BigTen | JR | 25 | 1 | 4 | 5 | 0.200 |
| 2017-18 | Wisconsin-Superior | D3 | BigTen | SO | 25 | 3 | 6 | 9 | 0.360 |
| 2016-17 | Wisconsin-Superior | D3 | BigTen | FR | 28 | 2 | 6 | 8 | 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.