| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Johnstown Tomahawks | NAHL | 53 | 19 | 13 | 32 | 0.604 | 0.2242 | 0.2188 | 0.6393 | 0.6239 |
| 2013-14 | Johnstown Tomahawks | NAHL | 59 | 18 | 21 | 39 | 0.661 | 0.2454 | 0.2272 | 0.6999 | 0.6479 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Hamline | D3 | MIAC | SR | 25 | 10 | 8 | 18 | 0.720 |
| 2016-17 | Hamline | D3 | MIAC | JR | 26 | 5 | 8 | 13 | 0.500 |
| 2015-16 | Hamline | D3 | MIAC | SO | 27 | 1 | 1 | 2 | 0.074 |
| 2014-15 | Hamline | D3 | MIAC | FR | 29 | 6 | 16 | 22 | 0.759 |
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.