| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Winkler Flyers | MJHL | 24 | 2 | 7 | 9 | 0.375 | 0.0722 | 0.0745 | 0.2365 | 0.2440 |
| 2014-15 | St. Cloud Norsemen | NAHL | 50 | 5 | 10 | 15 | 0.300 | 0.1102 | 0.1084 | 0.3167 | 0.3115 |
| 2015-16 | St. Cloud Norsemen | NAHL | 60 | 10 | 15 | 25 | 0.417 | 0.1531 | 0.1438 | 0.4398 | 0.4131 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | RPI | D1 | ECAC | — | 10 | 0 | 1 | 1 | 0.100 |
| 2018-19 | RPI | D1 | ECAC | — | 35 | 1 | 4 | 5 | 0.143 |
| 2017-18 | RPI | D1 | ECAC | — | 26 | 1 | 2 | 3 | 0.115 |
| 2016-17 | RPI | D1 | ECAC | — | 14 | 0 | 1 | 1 | 0.071 |
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.