Scouting Isn’t A Fair Game 

How does a player compare between leagues? How does their game carry over when the opposition gets tougher? And how do you answer these questions before somebody else does? The answers usually depend on the size of the program. Most college programs and international clubs don’t have the manpower or resources to scour through hundreds of hours of tape and thousands of data points. The data is there, the access isn’t.

Introducing SkilCorner’s WebApp

SkillCorner’s WebApp brings our tracking and event data together in one place, built for the people who make roster decisions. Search, evaluate and compare across every league we cover in seconds. The data is there. How fast can you put it to work?

‍

The WebApp In 90 Seconds

From a blank search to a full cross-league comparison of one player in under two minutes.

‍

Filter Through Thousands Of Data Points And Players

The process usually starts with one question: who are we looking at? Our WebApp covers 19+ competitions with up to 10 years of archive on selected leagues. Every game is tracked from a single camera feed, so every player in the pool is measured the same way, whatever league he plays in.

That makes finding the right player a matter of filters. You can narrow the pool by competition, season, teams, games played, shots made and dozens of other filters. In a few clicks thousands of names become a shortlist. You’re not casting a net at random, you know exactly where to look.

‍

How This Translates Into A Staff Room

All of this only matters if it’s readable by the decision makers. Our WebApp allows you to export the data, charts and scatterplots straight from your search.

• GMs get the bottom line: easy-to read charts and rankings…
• Coaches and scouts get reports to bring to recruiting meetings.
• Analysts get the raw data that they can directly plug into their own models and dashboards.

The research doesn’t stay in the app, it goes where decisions are made.

‍

In Practice: Saliou Niang - Analyzing A Player In Detail Across Leagues

The profile

A perfect example to illustrate our WebApp is Saliou Niang. The 22-year old forward committed to LSU in May 2026 after spending a season with Virtus Bologna in the Italian league and the EuroLeague. Niang is a versatile wing player with highly promising defensive capabilities and the ability of guarding several positions. At EuroBasket 2025, Italy trusted the then 21-year old to guard the lethal Luka Dončić. Aside from his defensive talents, he is a smart off-ball finisher with great physicality. 

We can analyze his 2025-26 season through three views:

• The scatterplot allows us to see him among his peers on two metrics of our choice.
• The percentile chart ranks him against players at his position on each metric so you can see his strengths and weaknesses at a glance.
• The data table gives all the details from the previous charts.
  ‍

You don’t just see his averages; you see what kind of player he is. But how does that translate when the competition level rises?

The comparison between two leagues

This becomes especially difficult when scouting players in Europe. Niang played his 2025-26 season in two competitions: the Italian league and the EuroLeague. The pace isn’t the same, the level of opposition is higher and that doesn’t always translate well into box scores.

Our tracking data doesn’t rely on box scores; it focuses on movement. Our metrics therefore mean the same thing from one league to another.

‹ ›

Niang’s season is a good example of how our WebApp allows staff to see how a player adapts to different opposition. It can help answer questions such as: What stays the same? What changes? 

• What stays: His shot selection. Niang gets some of the best looks among his peers: in Italy he sits at the 96th percentile, rising to the 98th in the EuroLeague and his expected points per shot follow the same trend (97th to 98th). His open shots are still there too, climbing from the 91st to the 95th percentile.

• What changes: His finishing. In the EuroLeague his layup FG% drops from the 80th percentile to the 34th and at the rim from the 79th to the 54th.  He does get better chances as his eFG% goes from the 82nd to the 88th percentile. He seems to get blocked more often and his lightly contested shots drop down to the 10th percentile in Euroleague.
  But something else changes significantly, and in a strongly positive way: his defensive skills. As we mentioned previously, Niang is a highly promising player defensively and this is clearly illustrated when going from the national league to the Euroleague. His opponents shot noticeably worse against him: his FG% allowed climbed from the 41st to the 72nd percentile, and his points per shot allowed from the 49th to the 78th. He didn’t force worse shots than in Italy, but he contested them more tightly and blocked more of them (75th percentile in blocks per 100 possessions). The opposition gets tougher and so does Niang.
  ‍

For scouting staff, this answers the questions of how much of his game holds up when the level goes up, and what needs to improve. Same player, same metrics, two different competitions: one consistent read.

‍

Find Your Next Player With SkillCorner 

To see how SkillCorner’s WebApp can help your scouting and recruiting processes get a demo today.