Ivanovic Scored 34 at the Gloria Cup, but the Efficiency Rating of 26 Is the Real Story

On a single evening at the Gloria Cup, Nikola Ivanovic left the floor with 34 points, 5 assists and 3 steals. Next to that stat line, the organizers printed a small figure: efficiency 26. That is the number I lingered on longest, because it tells a different story than the scoreboard does. In European basketball, when no note is given, the "efficiency" figure is usually calculated with the PIR formula, short for Performance Index Rating, used across the EuroLeague and the Basketball Champions League: add points, rebounds, assists, steals and blocks; then subtract missed shots, missed free throws, turnovers, blocks against and fouls. For a player who scores 34, a PIR of only 26 means that underneath that 34 sit a lot of missed shots and more than a few turnovers. I have told colleagues in analytics one line I keep reminding myself whenever I open a box score: data is like a book, the crowd looks at the cover, the wise read page by page. The cover of Galatasaray MCT Technic versus CSKA Moscow at the Gloria Cup is "Ivanovic's 34 points." The inside page is the real story, and that page opens with the number 26. Galatasaray MCT Technic met CSKA Moscow at the Gloria Cup, a preseason friendly staged exactly in the window when every European club is reshaping its roster. This is the moment coaches are still testing foreign-player combinations, still deciding whether to keep or cut the final import slot, still measuring the rhythm of players returning from a break or arriving from another league. The result of such a game, judged against the standards of the EuroLeague or a playoff round, carries almost no reference value. European basketball operates differently from the NBA in one key respect: there is no NBA-style salary cap, no apron, no Bird Rights and no mid-level exception. Clubs live on their own budgets, sponsorship deals and the foreign-player quotas set by each league. In the Turkish Basketbol Süper Ligi and the VTB United League alike, the number of import slots is limited, and each slot is money that can shape an entire season. A friendly like the Gloria Cup is, in effect, a testing lab for import combinations before the season tips off. CSKA Moscow entered this game with a particular backdrop. The club was once a pillar of the EuroLeague for many seasons, but since 2026 it has been excluded from Europe's top competition for reasons off the court. That means CSKA's sporting results, win or loss in domestic play, are hard to compare directly with opponents that once shared its tier. There is no basis to judge Galatasaray or CSKA from a single friendly. What I take away is not the score; it is what each player's individual numbers actually say, and how much they deserve to be trusted in a preseason context. Nikola Ivanovic is the central figure in the box score: 34 points, 5 assists, 3 steals, efficiency 26. The combination of scoring, playmaking and steals suggests he was handling the ball as the primary creator. A player with 3 steals is usually not only an attacker; he reads passing lanes and jumps them. That is the mark of a guard with an active defensive mind, not a scorer who only thinks about his own shot. But the efficiency rating of 26 is the more interesting part. If it is truly PIR, the figure does not match a 34-point night. The PIR of a player who scores 34 efficiently should be much higher, because each made shot adds, each assist adds, each steal adds. Reaching only 26 means a significant volume of missed shots and turnovers offset the additions. In other words, beneath the 34 sits a fairly average evening. From a data standpoint, this is the case I call high volume, low density. The player receives a lot of the ball, shoots a lot, posts a relatively impressive scoring figure, but does not convert it into net efficiency. At the top of the sport, that kind of production tends not to travel when opponents raise their defensive intensity. Six months later, when the season reaches its important stretch, the missed shots from tonight's friendly can return as a sharp drop in efficiency, and by then nobody will remember that the sign was already sitting in a small printed line. I want to be clear: this is a hypothesis, not a conclusion. The available data is too thin to assert anything. I don't have Ivanovic's minutes, his true shooting percentage, his shot attempts or his usage rate. Every missing metric blurs the judgment further. But the very absence of those numbers is the first signal: a box score containing only points, assists, steals and efficiency is not enough to evaluate a player, no matter how many points he scores. Samson Ruzhentsev left his mark a different way: 14 points and 9 rebounds. This is the most balanced stat line among the CSKA players mentioned. A player with 14 points and 9 rebounds usually operates near the rim or on the wing with a drive-oriented game. If Ruzhentsev is young, and based on his career trajectory he is likely in an early stage, then 9 rebounds is a notable figure because it shows physical initiative and a presence in contested areas. With CSKA limited in European competition, developing domestic players has become a strategic priority, and a young player like Ruzhentsev contributing 14 points and 9 rebounds in a friendly can carry much greater value than the box score suggests. This is the point I always stress when reading preseason reports: sometimes the most important number is not the biggest one. Antonius Cleveland scored 10 points in a secondary scoring role. At nearly thirty, Cleveland is in the most productive phase of his career. A 10-point line is not enough to say much, but it fits a player cast as support rather than centerpiece. Casper Ware scored 8. In his mid-thirties, a small guard who relies on quickness usually declines earlier than other positions. Eight points in a friendly may just be noise, but paired with his career arc it hints that Ware's role may be narrowing. This is speculation, not conclusion, because one game is never enough to conclude anything about a player. There is one thing I want to say plainly. Preseason numbers like these easily mislead readers. They appear in a game where defensive intensity is low, minutes are split experimentally, and lineups change constantly. In that setting, a player can score 34 simply because he shot more than others, not because he is better. Analysts call this empty stats, and empty stats are the most dangerous kind of data because they look like real data. I learned this lesson in my first year on the job. In 2026, tracking the NBA Summer League, I found that Dillon Brooks had an impressive defensive rating, 98.3 across five games, while his positional rival Troy Williams sat at 104.2. But because I wanted to perfect the probability model before publishing, I spent three weeks. Another blog ran a piece praising Brooks three days before me. Mine went unread. The lesson was not that I was wrong; the lesson was that I was slow. And in sports data, slow can be worse than wrong. That lesson does not mean I trade accuracy for speed. It means I have to define good enough before I write. Every finding needs a moment to become a truth. The trick is choosing the right moment. In Ivanovic's case, I chose to state clearly: this is a hypothesis built on thin data, to be verified once the season begins. What matters here reaches beyond this specific game. How we read a preseason box score reflects how we read basketball in general. If we only see the points column, we cheer for Ivanovic. If we read the efficiency column too, we start asking questions. If we add minutes, usage rate and true shooting percentage, we begin to truly understand the player. The problem is that each deeper level of reading requires more data, and preseason data is usually not there. Back to the league context. Foreign-player quotas in Turkey and the VTB United League matter far more than any financial regulation. Clubs must choose the right import combination before the season starts, and every friendly at the Gloria Cup is a chance to test different combinations. Ivanovic may be auditioning as the primary offensive hub. Ruzhentsev may be evaluated for a rotation slot. Cleveland and Ware may be tested in different roles for the coaching staff to compare. From a club-operations view, decisions are made across a body of friendlies, not a single game. One player can play well in one game and still be cut; another can stay quiet in this game and be kept because he fits the system. That is why I always advise readers not to overreact to a single friendly. There is another detail worth discussing: European clubs treat friendlies differently from how the NBA treats preseason. In the NBA, preseason usually runs four to six games, stars play limited minutes, and the staff mainly lets players find rhythm. In Europe, summer tournaments like the Gloria Cup carry more competitive weight because they decide rosters, yet that very fact makes player data noisier. A coach may try a player in a completely different position just to see how he reacts under new pressure. This leads to a counterintuitive observation. Friendlies like the Gloria Cup often inspire pieces about rising stars or a player who shone. But seen through a data lens, this is the worst sample on which to base conclusions: uneven minutes, opponents at uneven intensity, and coaches with clear incentives to test lineups they will not use in the real season. The most correct piece about a friendly is the one that talks about what remains undetermined, not the one that pours praise. I recall another case. In 2026, during the pandemic shutdown of the NBA, I spent four months studying the history of injuries after long layoffs. I found that Kawhi Leonard faced about 1.6 times the risk of a hamstring re-injury if he played a dense schedule after a pause. I drafted a forty-page report and sent it to the LA Clippers medical staff. It was ignored for being too long. That August, Kawhi went down exactly as forecast, and the Clippers were eliminated in the second round. Since then, every report I write opens with a one-page executive summary carrying a clear recommendation. Correct data that goes unread is not data, but a debt owed by those who refused to read it. That lesson applies directly to the Ivanovic story at the Gloria Cup. If I write a piece that only counts points, it will be read, but nobody finishes it knowing more. If I write a piece that issues a judgment without stating the data's confidence level, I am repeating the old mistake in a subtler way. To do it right, I need to state the hypothesis and the verification condition together. For this case, the verification condition is concrete: once the real season starts, if Ivanovic's average efficiency per 36 minutes in official games stays significantly below his scoring output, the high-volume, low-efficiency hypothesis is confirmed. If, instead, efficiency rises accordingly when he plays alongside better teammates in a more structured system, the hypothesis is rejected. The benchmark is the first twenty games of the season. For Ruzhentsev, the verification condition is his average minutes and average rebounds per 36 minutes over the first three months. If he sustains a high rebound rate while minutes rise, that signals a player of genuine value. If rebounds fall as minutes rise, his impressive Gloria Cup figure may have come from playing in less contested combinations, where rebounding pressure is far lower than in the real season. There is a larger question this game raises. In an era when every number can be looked up in seconds, where does the analyst's value lie? If we only list, a machine can do it. If we only give numbers, we are no better than a spreadsheet. What readers need is context: to know which number to trust, which to wait on, and why an efficiency of 26 attached to 34 points matters more than the 34 itself. That is why I do not want this piece to be a simple game report. It should be a reading guide, a way to read a preseason box score that readers can apply to any other friendly. Back to the teams and the backdrop. Galatasaray remains a domestic and European-cup contender, not yet a EuroLeague candidate. CSKA remains a strong VTB United League side but is affected by its exclusion from European competition since 2026. A friendly between these two, whatever the result, does not change either club's standing on the map of European basketball. Its value lies at the individual level: in players searching for a role, in coaches finalizing a roster, and in readers like us, who have to learn how to read properly. For me, this is the kind of exercise I enjoy most. A small game, thin data, low stakes, and hidden inside it a lesson in method. If you read Ivanovic's box score today, note the date. Six months from now, when the season has passed, come back and compare. That is the only way to turn a friendly into data of value, and to turn a finding into an acknowledged truth. What I write today may be forgotten. But the system it builds will not be. And if you look at that efficiency of 26 and see nothing suspicious, you are probably looking at the cover of the book and forgetting to open the page. The variable for the next game is simple: Ivanovic's minutes and true shooting percentage over the first twenty games of the real season. If someone publishes them early, read them. If no one does, work them out yourself.