| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Port Huron Fighting Falcons | NAHL | 1 | 1 | 0 | 1 | 1.000 | 0.3674 | 0.4217 | 1.0555 | 1.2115 |
| 2014-15 | Muskegon Lumberjacks | USHL | 18 | 0 | 3 | 3 | 0.167 | 0.0983 | 0.1045 | 0.5007 | 0.5324 |
| 2015-16 | New Jersey Jr. Titans | NAHL | 45 | 7 | 8 | 15 | 0.333 | 0.1225 | 0.1288 | 0.3518 | 0.3698 |
| 2016-17 | — | NAHL | 38 | 6 | 9 | 15 | 0.395 | 0.1450 | 0.1445 | 0.4166 | 0.4153 |
| 2017-18 | Corpus Christi IceRays | NAHL | 60 | 14 | 21 | 35 | 0.583 | 0.2143 | 0.2030 | 0.6157 | 0.5833 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Trine | D3 | NCHA | GR | 28 | 18 | 13 | 31 | 1.107 |
| 2021-22 | Trine | D3 | NCHA | SR | 28 | 10 | 22 | 32 | 1.143 |
| 2020-21 | Trine | D1 | NCHA | JR | 13 | 7 | 2 | 9 | 0.692 |
| 2020-21 | Trine | D3 | NCHA | JR | 13 | 7 | 2 | 9 | 0.692 |
| 2019-20 | Trine | D1 | NCHA | SO | 26 | 10 | 15 | 25 | 0.962 |
| 2019-20 | Trine | D3 | NCHA | SO | 26 | 10 | 15 | 25 | 0.962 |
| 2018-19 | Trine | D1 | NCHA | FR | 25 | 12 | 12 | 24 | 0.960 |
| 2018-19 | Trine | D3 | NCHA | FR | 25 | 12 | 12 | 24 | 0.960 |
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.