icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Trail Smoke Eaters | BCHL | 53 | 21 | 24 | 45 | 0.849 | 0.3163 | 0.3247 | 1.2372 | 1.2702 |
| 2021-22 | SaiPa | Liiga | 25 | 7 | 10 | 17 | 0.680 | 1.7000 | 1.7730 | — | — |
| 2022-23 | Timrå IK | SHL | 27 | 7 | 8 | 15 | 0.556 | 1.3890 | 1.5010 | — | — |
| 2023-24 | Tappara | Liiga | 60 | 19 | 24 | 43 | 0.717 | 1.7917 | 1.7720 | — | — |
| 2024-25 | Tappara | Liiga | 59 | 13 | 30 | 43 | 0.729 | 1.8220 | 1.7384 | — | — |
| 2025-26 | Straubing Tigers | DEL | 52 | 22 | 36 | 58 | 1.115 | 1.2198 | 1.3470 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Colorado College | D1 | NCHC | — | 33 | 12 | 18 | 30 | 0.909 |
| 2018-19 | Colorado College | D1 | NCHC | — | 20 | 4 | 9 | 13 | 0.650 |
| 2017-18 | Colorado College | D1 | NCHC | — | 37 | 19 | 26 | 45 | 1.216 |
| 2016-17 | Colorado College | D1 | NCHC | — | 29 | 5 | 4 | 9 | 0.310 |
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.