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 | Medicine Hat Tigers | WHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Medicine Hat Tigers | WHL | 9 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Medicine Hat Tigers | WHL | 66 | 19 | 13 | 32 | 0.485 | 0.2359 | 0.2437 | 1.1896 | 1.2287 |
| 2023-24 | Medicine Hat Tigers | WHL | 64 | 29 | 22 | 51 | 0.797 | 0.3877 | 0.3813 | 1.9554 | 1.9234 |
| 2024-25 | Medicine Hat Tigers | WHL | 63 | 12 | 20 | 32 | 0.508 | 0.2471 | 0.2298 | 1.2462 | 1.1591 |
| 2025-26 | Kelowna Rockets | WHL | 61 | 33 | 35 | 68 | 1.115 | 0.5424 | 0.4794 | 2.7354 | 2.4178 |
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.