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 | 6 | 0 | 1 | 1 | 0.167 | 0.0321 | 0.0321 | 0.1051 | 0.1051 |
| 2021-22 | — | MJHL | 45 | 6 | 9 | 15 | 0.333 | 0.0642 | 0.0669 | 0.2102 | 0.2189 |
| 2022-23 | Winnipeg Monarchs | MJHL | 58 | 13 | 8 | 21 | 0.362 | 0.0697 | 0.0693 | 0.2283 | 0.2271 |
| 2023-24 | El Paso Rhinos | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Cleary University | ACHA_D1 | — | — | 4 | 0 | 1 | 1 | 0.250 |
| 2024-25 | Cleary University | ACHA_D1 | — | — | 4 | 0 | 1 | 1 | 0.250 |
| 2023-24 | Cleary University | ACHA_D1 | — | — | 4 | 0 | 1 | 1 | 0.250 |
| 2022-23 | Cleary University | ACHA_D1 | — | — | 4 | 0 | 1 | 1 | 0.250 |
| 2021-22 | Cleary University | ACHA_D1 | — | — | 4 | 0 | 1 | 1 | 0.250 |
| 2020-21 | Cleary University | ACHA_D1 | — | — | 4 | 0 | 1 | 1 | 0.250 |
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.