| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Johnstown Tomahawks | NAHL | 21 | 3 | 5 | 8 | 0.381 | 0.1400 | 0.1454 | 0.4021 | 0.4175 |
| 2014-15 | Johnstown Tomahawks | NAHL | 50 | 23 | 20 | 43 | 0.860 | 0.3160 | 0.3115 | — | — |
| 2015-16 | Johnstown Tomahawks | NAHL | 54 | 19 | 31 | 50 | 0.926 | 0.3402 | 0.3203 | 0.9773 | 0.9202 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Bowling Green | D1 | WCHA | SR | 38 | 5 | 5 | 10 | 0.263 |
| 2018-19 | Bowling Green | D1 | WCHA | JR | 32 | 4 | 4 | 8 | 0.250 |
| 2017-18 | Bowling Green | D1 | WCHA | SO | 13 | 0 | 3 | 3 | 0.231 |
| 2016-17 | Bowling Green | D1 | WCHA | FR | 10 | 1 | 0 | 1 | 0.100 |
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.