icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Winnipeg Monarchs | MJHL | 5 | 0 | 1 | 1 | 0.200 | 0.0385 | 0.0385 | 0.1261 | 0.1261 |
| 2021-22 | Winnipeg Monarchs | MJHL | 46 | 3 | 4 | 7 | 0.152 | 0.0293 | 0.0289 | 0.0960 | 0.0948 |
| 2022-23 | Islanders Hockey Club | USPHL-Premier | 22 | 15 | 10 | 25 | 1.136 | 0.1486 | 0.1402 | 0.3857 | 0.3638 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Worcester State | D3 | MASCAC | GR | 0 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Worcester State | D3 | MASCAC | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Worcester State | D3 | MASCAC | JR | 19 | 3 | 1 | 4 | 0.210 |
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.