icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2000-01 | Vernon Vipers | BCHL | 51 | 13 | 7 | 20 | 0.392 | 0.1461 | 0.1649 | 0.5715 | 0.6451 |
| 2001-02 | — | BCHL | 50 | 19 | 28 | 47 | 0.940 | 0.3501 | 0.3759 | 1.3697 | 1.4706 |
| 2002-03 | Prince George Spruce Kings | BCHL | 49 | 28 | 38 | 66 | 1.347 | 0.5017 | 0.5170 | 1.9626 | 2.0223 |
| 2003-04 | — | BCHL | 52 | 30 | 34 | 64 | 1.231 | 0.4585 | 0.4520 | 1.7934 | 1.7681 |
| 2004-05 | Northern Manitoba Blizzard | MJHL | 44 | 40 | 25 | 65 | 1.477 | 0.4017 | 0.3784 | 0.9310 | 0.8770 |
| 2016-17 | Starbulls Rosenheim | DEL2 | 47 | 25 | 30 | 55 | 1.170 | 0.5048 | 0.4091 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Bemidji State | D1 | — | SR | 35 | 22 | 17 | 39 | 1.114 |
| 2007-08 | Bemidji State | D1 | — | JR | 30 | 13 | 13 | 26 | 0.867 |
| 2006-07 | Bemidji State | D1 | — | SO | 27 | 7 | 14 | 21 | 0.778 |
| 2005-06 | Bemidji State | D1 | — | FR | 37 | 6 | 19 | 25 | 0.676 |
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.