| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | St. Cloud Norsemen | NAHL | 48 | 3 | 2 | 5 | 0.104 | 0.0370 | 0.0381 | 0.1099 | 0.1132 |
| 2014-15 | Tampa Bay Juniors | USPHL-Elite | 23 | 14 | 26 | 40 | 1.739 | 0.1296 | 0.1267 | — | — |
| 2015-16 | Mason City Toros | NA3HL | 38 | 10 | 26 | 36 | 0.947 | 0.1048 | 0.0966 | 0.2991 | 0.2756 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Saint Mary's (MN) | D1 | MIAC | SR | 25 | 3 | 24 | 27 | 1.080 |
| 2019-20 | Saint Mary's (MN) | D3 | MIAC | SR | 25 | 3 | 24 | 27 | 1.080 |
| 2018-19 | Saint Mary's (MN) | D1 | MIAC | JR | 27 | 4 | 14 | 18 | 0.667 |
| 2018-19 | Saint Mary's (MN) | D3 | MIAC | JR | 27 | 4 | 14 | 18 | 0.667 |
| 2017-18 | Saint Mary's (MN) | D3 | MIAC | SO | 25 | 7 | 8 | 15 | 0.600 |
| 2016-17 | Saint Mary's (MN) | D3 | MIAC | FR | 7 | 0 | 1 | 1 | 0.143 |
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.