| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Chicago Steel | USHL | 58 | 10 | 19 | 29 | 0.500 | 0.3184 | 0.3169 | 1.4984 | 1.4912 |
| 2012-13 | Chicago Steel | USHL | 53 | 13 | 21 | 34 | 0.641 | 0.4085 | 0.3848 | 1.9224 | 1.8109 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Bemidji State | D1 | WCHA | SR | 41 | 6 | 13 | 19 | 0.463 |
| 2015-16 | Bemidji State | D1 | WCHA | JR | 39 | 7 | 6 | 13 | 0.333 |
| 2014-15 | Bemidji State | D1 | WCHA | SO | 37 | 11 | 7 | 18 | 0.486 |
| 2013-14 | Bemidji State | D1 | WCHA | FR | 31 | 2 | 1 | 3 | 0.097 |
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.