icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Sherwood Park Crusaders | AJHL | 54 | 6 | 16 | 22 | 0.407 | 0.1361 | 0.1520 | 0.3782 | 0.4223 |
| 2011-12 | Sherwood Park Crusaders | AJHL | 53 | 31 | 50 | 81 | 1.528 | 0.5105 | 0.5442 | 1.4187 | 1.5123 |
| 2012-13 | Dubuque Fighting Saints | USHL | 63 | 33 | 37 | 70 | 1.111 | 0.7075 | 0.7005 | 3.3296 | 3.2965 |
| 2013-14 | Brandon Wheat Kings | WHL | 44 | 21 | 30 | 51 | 1.159 | 0.5636 | 0.5303 | 2.8291 | 2.6619 |
| 2014-15 | Brandon Wheat Kings | WHL | 72 | 27 | 48 | 75 | 1.042 | 0.5065 | 0.4518 | 2.5426 | 2.2682 |
| 2017-18 | SaiPa | Liiga | 9 | 3 | 1 | 4 | 0.444 | — | — | — | — |
| 2021-22 | Lausitzer Füchse | DEL2 | 52 | 32 | 48 | 80 | 1.538 | — | — | — | — |
| 2024-25 | Kiekko-Espoo | Liiga | 51 | 19 | 16 | 35 | 0.686 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Quinnipiac | D1 | ECAC | FR | 5 | 0 | 4 | 4 | 0.800 |
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.