NHA LAB · BLNO MEN
A player’s scoring profile becomes more useful when we read efficiency alongside offensive responsibility. This map compares estimated usage with true shooting and flags profiles for closer analysis.
2026–27 season · Player data through 4 October 2026
Each point is a player. The dashed lines mark the qualified sample means. Team colours identify the player’s club on the full-league view.
The strongest conversion rates appear both among players with substantial usage and players carrying a smaller role. These are different offensive profiles: the first group combines volume and conversion, while the second shows efficient finishing so far without proving how those rates would respond to more self-created possessions.
Several high-usage players sit close to the efficiency reference. Hadley’s TS% is just 1.4 percentage points below the qualified mean despite a 34.1% usage rate. That is a near-mean result on a large workload; the more pronounced gaps around 45% TS deserve a closer look at shot mix and creation context.
Early-season rates describe current output. They do not measure defensive impact, passing value or the difficulty of each shot.
These players combine above-mean usage with above-mean true shooting. Cranston-Lown (25.8% USG, 78.7% TS) and Anderson (27.7%, 72.9%) lead the clearest multi-game signals. Hagberg and Savic add three-game support. Downs’ 78.4% TS on 27.3% USG is striking, but it comes from two games and needs more evidence.
On mobile: scroll the table horizontally to see every column.
| Player | Team | GP | USG% | TS% |
|---|---|---|---|---|
| William Bryan Cranston-Lown | Ammerud BLNO | 3 | 25.8% | 78.7% |
| Drake Downs | Frøya | 2 | 27.3% | 78.4% |
| JoJo Anderson | Kongsberg Miners | 4 | 27.7% | 72.9% |
| Milovan Savic | Gimle | 3 | 21.4% | 72.3% |
| Kasper Hagberg | Frøya | 3 | 23.6% | 72.1% |
| Mikkel Bedason Kolstad | Gimle | 2 | 26.0% | 71.5% |
| Oleksander Horiuk | Ammerud BLNO | 3 | 26.1% | 70.8% |
| Lars Fredrik Mensah Espe | Gimle | 2 | 21.4% | 69.7% |
| Justin William Mullins | Gimle | 2 | 34.6% | 68.8% |
| Joe Cookson | Kongsberg Miners | 4 | 24.3% | 67.2% |
| Jacob Månsson | Frøya | 3 | 24.9% | 66.9% |
| Stian Mjøs | Bærum Basket | 4 | 22.4% | 65.9% |
| Cory Johnson | Frøya | 3 | 25.2% | 64.9% |
| Kalob James Ledoux | Fyllingen | 2 | 29.8% | 64.8% |
| Johannes Dolven | Centrum Tigers | 2 | 29.8% | 61.3% |
| Davonte Ray Davis | Fyllingen | 2 | 34.1% | 57.1% |
| Filip August Klemmetsby | TNT Towers | 4 | 29.6% | 55.8% |
| Pietro Mortarino | Nidaros Jets | 3 | 37.7% | 53.9% |
Borg (19.9% USG, 77.4% TS) and Dalland (18.4%, 76.9%) pair excellent conversion with moderate usage. Dyve and Jacobsen also stand out. The data supports an efficient current role; it cannot establish whether conversion would hold if their creation burden increased.
On mobile: scroll the table horizontally to see every column.
| Player | Team | GP | USG% | TS% |
|---|---|---|---|---|
| Erik Borg | Kongsberg Miners | 4 | 19.9% | 77.4% |
| Christopher Jetsadakhon Dalland | Frøya | 3 | 18.4% | 76.9% |
| Benjamin Dyve | Bærum Basket | 4 | 14.1% | 73.4% |
| Henrik Male Davidsen | Ammerud BLNO | 3 | 20.0% | 69.8% |
| Sondre Jacobsen | Frøya | 3 | 11.8% | 68.8% |
| Filip Rypdal Øverås | Bærum Basket | 4 | 19.9% | 66.2% |
| Joshua Ipalibo Hart | Kongsberg Miners | 4 | 18.1% | 64.4% |
| Anders Isaksen Solem | Tromsø Storm | 4 | 12.8% | 63.9% |
| Mio Mandt | Ammerud BLNO | 3 | 9.1% | 63.4% |
| Brage Vejlgaard Sørensen | Kongsberg Miners | 4 | 15.3% | 63.3% |
| Per Ingar Berthelsen | TNT Towers | 3 | 20.9% | 63.1% |
| Malik Abdul Rauf | Centrum Tigers | 2 | 19.9% | 60.0% |
| Aksel Hvalgård Borg | Frøya | 3 | 16.8% | 57.8% |
| David Berntsen | Tromsø Storm | 4 | 12.0% | 55.9% |
| Jørgen Andreas Lamo | Gimle | 4 | 16.0% | 54.6% |
| Vladyslav Unhurian | TNT Towers | 3 | 15.8% | 53.3% |
| Troy Barnies | Fyllingen | 2 | 18.4% | 52.8% |
Hadley carries 34.1% usage, with 51.0% TS across 67 field-goal attempts. The 1.4-point gap to the qualified mean is modest. Ellingsen (44.9%) and Øvermo (44.5%) show a wider conversion gap over four games each. Shot mix and creation load are the next questions, not a verdict on player quality.
On mobile: scroll the table horizontally to see every column.
| Player | Team | GP | USG% | TS% |
|---|---|---|---|---|
| Garrett Daniel Denbow | Tromsø Storm | 2 | 34.2% | 52.2% |
| Gabriel Max Hadley | Ammerud BLNO | 3 | 34.1% | 51.0% |
| Morten Midtlie Holsæter | Centrum Tigers | 2 | 30.6% | 21.4% |
| Johannes Rydningen Lange | Tromsø Storm | 4 | 28.9% | 51.8% |
| Jakob Ellingsen | Bærum Basket | 4 | 26.4% | 44.9% |
| Jan Prus | TNT Towers | 2 | 25.6% | 50.7% |
| Jørgen Odfjell | Gimle | 2 | 25.5% | 37.8% |
| Isak Smørholm Ulveseth | Gimle | 2 | 25.4% | 30.2% |
| Oliver Edvardsen Øvermo | Nidaros Jets | 4 | 25.3% | 44.5% |
| Pau Tendero Salom | Bærum Basket | 2 | 24.3% | 46.8% |
| Sindre Steinhaug Christoffersen | TNT Towers | 4 | 23.9% | 48.3% |
| Dante Olsen | Bærum Basket | 4 | 23.2% | 47.6% |
| Shamel Ibrahim Shaka | TNT Towers | 4 | 23.1% | 37.2% |
| Jovan Radulovic | Gimle | 4 | 23.1% | 46.4% |
| Grant Sitton | Tromsø Storm | 2 | 22.3% | 49.5% |
| Dennis Valentino Tydeman Nordskag | Nidaros Jets | 3 | 21.6% | 43.6% |
| Aksel Svenkerud-Raundalen | Gimle | 2 | 21.4% | 41.9% |
| Donnie Tillman | Kongsberg Miners | 4 | 21.2% | 39.1% |
All 75 players in the reference sample, sorted by USG%. Use the club-colour marker to scan the table by team.
On mobile: scroll the table horizontally to see every column.
| Player | Team | GP | USG% | TS% |
|---|---|---|---|---|
| Pietro Mortarino | Nidaros Jets | 3 | 37.7% | 53.9% |
| Justin William Mullins | Gimle | 2 | 34.6% | 68.8% |
| Garrett Daniel Denbow | Tromsø Storm | 2 | 34.2% | 52.2% |
| Davonte Ray Davis | Fyllingen | 2 | 34.1% | 57.1% |
| Gabriel Max Hadley | Ammerud BLNO | 3 | 34.1% | 51.0% |
| Morten Midtlie Holsæter | Centrum Tigers | 2 | 30.6% | 21.4% |
| Johannes Dolven | Centrum Tigers | 2 | 29.8% | 61.3% |
| Kalob James Ledoux | Fyllingen | 2 | 29.8% | 64.8% |
| Filip August Klemmetsby | TNT Towers | 4 | 29.6% | 55.8% |
| Johannes Rydningen Lange | Tromsø Storm | 4 | 28.9% | 51.8% |
| JoJo Anderson | Kongsberg Miners | 4 | 27.7% | 72.9% |
| Drake Downs | Frøya | 2 | 27.3% | 78.4% |
| Jakob Ellingsen | Bærum Basket | 4 | 26.4% | 44.9% |
| Oleksander Horiuk | Ammerud BLNO | 3 | 26.1% | 70.8% |
| Mikkel Bedason Kolstad | Gimle | 2 | 26.0% | 71.5% |
| William Bryan Cranston-Lown | Ammerud BLNO | 3 | 25.8% | 78.7% |
| Jan Prus | TNT Towers | 2 | 25.6% | 50.7% |
| Jørgen Odfjell | Gimle | 2 | 25.5% | 37.8% |
| Isak Smørholm Ulveseth | Gimle | 2 | 25.4% | 30.2% |
| Oliver Edvardsen Øvermo | Nidaros Jets | 4 | 25.3% | 44.5% |
| Cory Johnson | Frøya | 3 | 25.2% | 64.9% |
| Jacob Månsson | Frøya | 3 | 24.9% | 66.9% |
| Pau Tendero Salom | Bærum Basket | 2 | 24.3% | 46.8% |
| Joe Cookson | Kongsberg Miners | 4 | 24.3% | 67.2% |
| Sindre Steinhaug Christoffersen | TNT Towers | 4 | 23.9% | 48.3% |
| Kasper Hagberg | Frøya | 3 | 23.6% | 72.1% |
| Dante Olsen | Bærum Basket | 4 | 23.2% | 47.6% |
| Shamel Ibrahim Shaka | TNT Towers | 4 | 23.1% | 37.2% |
| Jovan Radulovic | Gimle | 4 | 23.1% | 46.4% |
| Stian Mjøs | Bærum Basket | 4 | 22.4% | 65.9% |
| Grant Sitton | Tromsø Storm | 2 | 22.3% | 49.5% |
| Dennis Valentino Tydeman Nordskag | Nidaros Jets | 3 | 21.6% | 43.6% |
| Aksel Svenkerud-Raundalen | Gimle | 2 | 21.4% | 41.9% |
| Milovan Savic | Gimle | 3 | 21.4% | 72.3% |
| Lars Fredrik Mensah Espe | Gimle | 2 | 21.4% | 69.7% |
| Donnie Tillman | Kongsberg Miners | 4 | 21.2% | 39.1% |
| Per Ingar Berthelsen | TNT Towers | 3 | 20.9% | 63.1% |
| Isak Emanuel Ramirez Nilsen | Tromsø Storm | 4 | 20.5% | 51.4% |
| Kristoffer Gjerde Sætren | Gimle | 3 | 20.3% | 42.1% |
| Henrik Male Davidsen | Ammerud BLNO | 3 | 20.0% | 69.8% |
| Erik Borg | Kongsberg Miners | 4 | 19.9% | 77.4% |
| Kevin Kwame Leraand | Nidaros Jets | 4 | 19.9% | 44.2% |
| Filip Rypdal Øverås | Bærum Basket | 4 | 19.9% | 66.2% |
| Malik Abdul Rauf | Centrum Tigers | 2 | 19.9% | 60.0% |
| Trym Andreas Engelsen | Tromsø Storm | 4 | 18.9% | 26.9% |
| Christopher Jetsadakhon Dalland | Frøya | 3 | 18.4% | 76.9% |
| Troy Barnies | Fyllingen | 2 | 18.4% | 52.8% |
| Sigurd Hakami Sandal | Fyllingen | 2 | 18.2% | 42.8% |
| Joshua Ipalibo Hart | Kongsberg Miners | 4 | 18.1% | 64.4% |
| Martin Døvle Mogeland | Centrum Tigers | 2 | 18.1% | 18.2% |
| Oluwateniola Adegbenro Wood | Ammerud BLNO | 3 | 17.1% | 51.2% |
| Jakob Næss | TNT Towers | 4 | 16.9% | 45.1% |
| Aksel Hvalgård Borg | Frøya | 3 | 16.8% | 57.8% |
| Kevin Austria | Bærum Basket | 4 | 16.5% | 48.5% |
| Pol Olivier Cañadell | Fyllingen | 2 | 16.2% | 38.7% |
| Johannes Benjamin Wangensteen | Frøya | 3 | 16.2% | 37.6% |
| Skage Spernes Eidholm | Centrum Tigers | 2 | 16.2% | 41.0% |
| Jørgen Andreas Lamo | Gimle | 4 | 16.0% | 54.6% |
| Karl Sigurd Madsen | Kongsberg Miners | 4 | 15.9% | 43.4% |
| Vladyslav Unhurian | TNT Towers | 3 | 15.8% | 53.3% |
| Tobias Edvardsen Øvermo | Nidaros Jets | 4 | 15.5% | 39.8% |
| Brage Vejlgaard Sørensen | Kongsberg Miners | 4 | 15.3% | 63.3% |
| Simen Juvastøl | TNT Towers | 4 | 15.2% | 27.8% |
| Odin Akwesi Donkor | TNT Towers | 4 | 14.3% | 36.6% |
| Jo Mathias Bjørnevog | Frøya | 3 | 14.3% | 30.4% |
| Benjamin Dyve | Bærum Basket | 4 | 14.1% | 73.4% |
| Vuk Vucetic | Ammerud BLNO | 3 | 13.5% | 43.0% |
| Rokas Lukas Pocius | Nidaros Jets | 4 | 13.5% | 34.0% |
| Fredrik Kleivdal | Fyllingen | 2 | 13.4% | 37.0% |
| Nikolas Kvåle Skouen | Fyllingen | 2 | 13.0% | 12.5% |
| Anders Isaksen Solem | Tromsø Storm | 4 | 12.8% | 63.9% |
| David Berntsen | Tromsø Storm | 4 | 12.0% | 55.9% |
| Sondre Jacobsen | Frøya | 3 | 11.8% | 68.8% |
| Gustavas Urbonas | Nidaros Jets | 4 | 11.0% | 51.3% |
| Mio Mandt | Ammerud BLNO | 3 | 9.1% | 63.4% |
Qualified sample: at least 2 games, 15 minutes per game and 8 field-goal attempts.
The map separates offensive responsibility from scoring conversion. Neither axis is a standalone measure of player value.
USG estimates the share of team possessions that end with a player’s field-goal attempt, free throws or turnover, adjusted for team pace and time on court. The player’s game-level rates are weighted by minutes in the season estimate.
TS% = points ÷ [2 × (FGA + 0.44 × FTA)]. It combines two-point shots, three-point shots and free throws into one scoring-efficiency rate. It does not account for shot difficulty, playmaking or defensive contribution.
The reference means are unweighted averages across 75 players who have appeared in at least 2 games, averaged at least 15 minutes and attempted at least 8 field goals. The chart plots 122 players with calculable rates.
Coverage runs through 4 October 2026. One game is missing player-level box-score data. Many players have only two to four games, so rates may move quickly as minutes, roles, opponents and shot profiles change. Use this as a scouting prompt alongside game film.
