icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
Colorado Avalanche
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | NTDP-U18 | 58 | 23 | 20 | 43 | 0.741 | 0.5511 | 0.5585 | 2.7801 | 2.8174 |
| 2023-24 | — | NTDP-U18 | 52 | 23 | 35 | 58 | 1.115 | 0.8291 | 0.7976 | 4.1825 | 4.0238 |
| 2024-25 | Kitchener Rangers | OHL | 28 | 11 | 22 | 33 | 1.179 | 0.6818 | 0.6727 | 3.0860 | 3.0448 |
| 2025-26 | Kitchener Rangers | OHL | 63 | 27 | 58 | 85 | 1.349 | 0.7805 | 0.7308 | 3.5327 | 3.3079 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Minnesota | D1 | BigTen | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Michigan | D1 | BigTen | — | 10 | 0 | 1 | 1 | 0.100 |
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.