icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Lac St-Louis Lions Sud Bantam AAA R | qbaaa-r | 29 | 0 | 3 | 3 | 0.103 | — | — | — | — |
| 2019-20 | Lac St-Louis Warriors Bantam AAA (W) | qbaaa-w | 21 | 2 | 3 | 5 | 0.238 | — | — | — | — |
| 2021-22 | Lac St-Louis Warriors M18 AAA (W) | qm18aaa-w | 20 | 0 | 10 | 10 | 0.500 | — | — | — | — |
| 2023-24 | John Abbott College Islanders (W) | qchl-w | 30 | 0 | 6 | 6 | 0.200 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | D1 | ECAC-W | — | 11 | 0 | 0 | 0 | 0.000 |
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.