| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Waterloo Black Hawks | USHL | 36 | 1 | 4 | 5 | 0.139 | 0.0819 | 0.0862 | 0.4172 | 0.4390 |
| 2012-13 | — | USHL | 44 | 5 | 8 | 13 | 0.295 | 0.1743 | 0.1741 | 0.8875 | 0.8867 |
| 2013-14 | Youngstown Phantoms | USHL | 55 | 3 | 6 | 9 | 0.164 | 0.0965 | 0.0919 | 0.4914 | 0.4680 |
| 2014-15 | Youngstown Phantoms | USHL | 53 | 8 | 12 | 20 | 0.377 | 0.2226 | 0.2010 | 1.1335 | 1.0237 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Oswego | D1 | — | SR | 27 | 9 | 9 | 18 | 0.667 |
| 2018-19 | SUNY Oswego | D3 | SUNYAC | SR | 27 | 9 | 9 | 18 | 0.667 |
| 2017-18 | Lake Superior State | D1 | WCHA | JR | 20 | 2 | 2 | 4 | 0.200 |
| 2016-17 | Lake Superior State | D1 | WCHA | SO | 35 | 3 | 4 | 7 | 0.200 |
| 2015-16 | Lake Superior State | D1 | WCHA | FR | 38 | 5 | 1 | 6 | 0.158 |
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.