| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Soo Eagles | NAHL | 17 | 0 | 1 | 1 | 0.059 | 0.0218 | 0.0227 | 0.0623 | 0.0648 |
| 2013-14 | — | NAHL | 26 | 3 | 3 | 6 | 0.231 | 0.0857 | 0.0848 | 0.2444 | 0.2418 |
| 2014-15 | Philadelphia Little Flyers | EHL | 44 | 12 | 42 | 54 | 1.227 | 0.2634 | 0.2495 | 0.6010 | 0.5693 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Lake Forest | D3 | NCHA | SR | 26 | 1 | 5 | 6 | 0.231 |
| 2017-18 | Lake Forest | D3 | NCHA | JR | 7 | 2 | 2 | 4 | 0.571 |
| 2016-17 | Lake Forest | D3 | NCHA | SO | 11 | 0 | 1 | 1 | 0.091 |
| 2015-16 | Lake Forest | D3 | NCHA | FR | 17 | 2 | 2 | 4 | 0.235 |
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.