| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | USHL | 35 | 7 | 7 | 14 | 0.400 | 0.2547 | 0.2797 | 1.1987 | 1.3162 |
| 2012-13 | Des Moines Buccaneers | USHL | 60 | 7 | 19 | 26 | 0.433 | 0.2759 | 0.2883 | 1.2985 | 1.3567 |
| 2013-14 | Lincoln Stars | USHL | 33 | 3 | 11 | 14 | 0.424 | 0.2701 | 0.2696 | 1.2712 | 1.2687 |
| 2014-15 | Vernon Vipers | BCHL | 44 | 10 | 16 | 26 | 0.591 | 0.2300 | 0.2245 | 0.8617 | 0.8411 |
| 2015-16 | — | BCHL | 55 | 11 | 19 | 30 | 0.545 | 0.2123 | 0.1959 | 0.7955 | 0.7339 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Northern Michigan | D1 | WCHA | SR | 36 | 8 | 5 | 13 | 0.361 |
| 2018-19 | Northern Michigan | D1 | WCHA | JR | 39 | 3 | 4 | 7 | 0.179 |
| 2017-18 | Northern Michigan | D1 | WCHA | SO | 39 | 1 | 1 | 2 | 0.051 |
| 2016-17 | Northern Michigan | D1 | WCHA | FR | 30 | 2 | 1 | 3 | 0.100 |
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.