| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Cedar Rapids RoughRiders | USHL | 40 | 8 | 7 | 15 | 0.375 | 0.2388 | 0.2415 | 1.1238 | 1.1367 |
| 2010-11 | — | USHL | 48 | 7 | 4 | 11 | 0.229 | 0.1460 | 0.1403 | 0.6868 | 0.6600 |
| 2011-12 | Youngstown Phantoms | USHL | 30 | 3 | 5 | 8 | 0.267 | 0.1698 | 0.1553 | 0.7992 | 0.7307 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | SUNY Geneseo | D3 | — | SR | 27 | 19 | 29 | 48 | 1.778 |
| 2015-16 | SUNY Geneseo | D3 | — | JR | 31 | 22 | 25 | 47 | 1.516 |
| 2014-15 | SUNY Geneseo | D3 | — | SO | 26 | 5 | 13 | 18 | 0.692 |
| 2013-14 | SUNY Geneseo | D3 | — | FR | 30 | 13 | 11 | 24 | 0.800 |
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.