| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | USHL | 54 | 11 | 8 | 19 | 0.352 | 0.2241 | 0.2490 | 1.0545 | 1.1716 |
| 2015-16 | — | USHL | 60 | 23 | 28 | 51 | 0.850 | 0.5413 | 0.5763 | 2.5472 | 2.7118 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Western Michigan | D1 | NCHC | SR | 35 | 13 | 22 | 35 | 1.000 |
| 2018-19 | Western Michigan | D1 | NCHC | JR | 37 | 16 | 14 | 30 | 0.811 |
| 2017-18 | Western Michigan | D1 | NCHC | SO | 36 | 9 | 21 | 30 | 0.833 |
| 2016-17 | Western Michigan | D1 | NCHC | FR | 39 | 8 | 14 | 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.