| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Drumheller Dragons | AJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Calgary Mustangs | AJHL | 58 | 8 | 27 | 35 | 0.603 | 0.2015 | 0.2030 | 0.5601 | 0.5644 |
| 2013-14 | — | AJHL | 56 | 17 | 28 | 45 | 0.804 | 0.2684 | 0.2565 | 0.7460 | 0.7130 |
| 2014-15 | Canmore Eagles | AJHL | 60 | 18 | 29 | 47 | 0.783 | 0.2616 | 0.2361 | 0.7271 | 0.6563 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | SUNY Geneseo | D3 | — | SR | 25 | 3 | 8 | 11 | 0.440 |
| 2017-18 | SUNY Geneseo | D3 | — | JR | 19 | 2 | 3 | 5 | 0.263 |
| 2016-17 | SUNY Geneseo | D3 | — | SO | 3 | 0 | 0 | 0 | 0.000 |
| 2015-16 | SUNY Geneseo | D3 | — | FR | 7 | 0 | 4 | 4 | 0.571 |
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.