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Jack Connolly Elite Prospects ↗

Position: Forward DOB: 1989-08-15 Country: USA
Signed Professionally
Luleå HF · SHL

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2007-08 Sioux Falls Stampede USHL 58 26 46 72 1.241 0.7323 0.7477 3.7251 3.8032
2012-13 Färjestad BK SHL 34 8 11 19 0.559 1.3970 1.6184 7.2870 8.4420
2013-14 Färjestad BK SHL 55 11 12 23 0.418 1.0455 1.1355 5.4535 5.9231
2014-15 Leksands IF SHL 8 0 0 0 0.000 — — — —
2015-16 Rögle BK SHL 50 9 28 37 0.740 1.8500 1.8149 9.6499 9.4670
2016-17 Rögle BK SHL 52 4 24 28 0.538 1.3462 1.2417 7.0223 6.4772
2017-18 Rögle BK SHL 52 5 14 19 0.365 0.9135 0.8133 4.7650 4.2425
2018-19 Luleå HF SHL 52 16 19 35 0.673 1.6827 1.4146 8.7775 7.3791
2019-20 Luleå HF SHL 52 5 19 24 0.462 1.1538 1.1538 6.0181 6.0181
2020-21 Luleå HF SHL 52 10 20 30 0.577 1.4423 1.4423 7.5230 7.5230
2021-22 Luleå HF SHL 35 10 7 17 0.486 1.2143 0.8707 6.3337 4.5416
2022-23 Luleå HF SHL 51 5 21 26 0.510 1.2745 0.8838 6.6480 4.6102
2023-24 Luleå HF SHL 52 2 14 16 0.308 0.7692 0.4838 4.0125 2.5237
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2011-12 Minnesota Duluth D1 WCHA-orig — 41 20 40 60 1.463
2010-11 Minnesota Duluth D1 WCHA-orig — 42 18 41 59 1.405
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.70
before college
→
Actual FR PPG
1.40
2010-11 · Minnesota Duluth
+101.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

2%
NCAA D1
0%
NCAA D2/D3
98%
Pro / Other

NCAAe Rankings

#1421
Forward overall
#53
Forward born in 1989

D2/3 Comparables

Rihards Marenis
Aurora · 2013-14
1.000 Elite
actual D2/3 PPG
Zach Dill
Salem State · 2021-22
1.111 Elite
actual D2/3 PPG
Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG

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.