icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Chippewa Steel | NAHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | El Paso Rhinos | NA3HL | 29 | 6 | 14 | 20 | 0.690 | 0.0831 | 0.0831 | 0.2179 | 0.2179 |
| 2021-22 | Willmar WarHawks | NA3HL | 41 | 14 | 30 | 44 | 1.073 | 0.1293 | 0.1225 | 0.3390 | 0.3213 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Cleary University | ACHA_D1 | — | — | 20 | 7 | 8 | 15 | 0.750 |
| 2024-25 | Cleary University | ACHA_D1 | — | — | 20 | 7 | 8 | 15 | 0.750 |
| 2023-24 | Cleary University | ACHA_D1 | — | — | 20 | 7 | 8 | 15 | 0.750 |
| 2023-24 | Concordia | D3 | MIAC | — | 20 | 5 | 4 | 9 | 0.450 |
| 2023-24 | Concordia Wisconsin | D3 | NCHA | SO | 20 | 5 | 4 | 9 | 0.450 |
| 2022-23 | Cleary University | ACHA_D1 | — | — | 20 | 7 | 8 | 15 | 0.750 |
| 2022-23 | Concordia | D3 | MIAC | — | 26 | 4 | 11 | 15 | 0.577 |
| 2022-23 | Concordia Wisconsin | D3 | NCHA | FR | 25 | 4 | 11 | 15 | 0.600 |
| 2021-22 | Cleary University | ACHA_D1 | — | — | 20 | 7 | 8 | 15 | 0.750 |
| 2020-21 | Cleary University | ACHA_D1 | — | — | 20 | 7 | 8 | 15 | 0.750 |
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.