| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Nipawin Hawks | SJHL | 56 | 21 | 24 | 45 | 0.804 | 0.2322 | 0.2421 | 0.6050 | 0.6308 |
| 2011-12 | Omaha Lancers | USHL | 42 | 5 | 14 | 19 | 0.452 | 0.2881 | 0.2754 | 1.3557 | 1.2959 |
| 2012-13 | Omaha Lancers | USHL | 28 | 3 | 7 | 10 | 0.357 | 0.2274 | 0.2053 | 1.0701 | 0.9660 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Union | D1 | ECAC | SR | 23 | 3 | 0 | 3 | 0.130 |
| 2015-16 | Union | D1 | ECAC | JR | 36 | 8 | 1 | 9 | 0.250 |
| 2014-15 | Union | D1 | ECAC | SO | 39 | 4 | 7 | 11 | 0.282 |
| 2013-14 | Union | D1 | ECAC | FR | 31 | 9 | 12 | 21 | 0.677 |
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.