| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | CCHL | 58 | 5 | 15 | 20 | 0.345 | 0.0984 | 0.1023 | 0.2669 | 0.2775 |
| 2014-15 | Lone Star Brahmas | NAHL | 33 | 2 | 8 | 10 | 0.303 | 0.1125 | 0.1135 | 0.3208 | 0.3236 |
| 2015-16 | St. Cloud Norsemen | NAHL | 59 | 12 | 26 | 38 | 0.644 | 0.2392 | 0.2307 | 0.6820 | 0.6577 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Elmira | D3 | UCHC | SR | 26 | 13 | 27 | 40 | 1.538 |
| 2018-19 | Elmira | D3 | UCHC | JR | 27 | 15 | 24 | 39 | 1.444 |
| 2017-18 | Elmira | D3 | UCHC | SO | 28 | 25 | 25 | 50 | 1.786 |
| 2016-17 | Elmira | D3 | UCHC | FR | 25 | 10 | 10 | 20 | 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.