| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Cleveland Jr. Lumberjacks | NA3HL | 46 | 47 | 41 | 88 | 1.913 | 0.2305 | 0.2293 | 0.6043 | 0.6012 |
| 2013-14 | — | NAHL | 53 | 16 | 22 | 38 | 0.717 | 0.2662 | 0.2575 | 0.7592 | 0.7343 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Nichols | D3 | CNE | SR | 30 | 13 | 32 | 45 | 1.500 |
| 2016-17 | Nichols | D3 | CNE | JR | 27 | 11 | 20 | 31 | 1.148 |
| 2015-16 | Nichols | D3 | CNE | SO | 27 | 8 | 8 | 16 | 0.593 |
| 2014-15 | Nichols | D3 | CNE | FR | 27 | 6 | 13 | 19 | 0.704 |
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.