The NBA Finals have been played three games so far, and the New York Knicks lead the San Antonio Spurs 2-1 overall. But the Knicks’ narrow loss in Game 3 at home has sharply heightened the series suspense. Game 4 will continue at Madison Square Garden, and the stakes of this game go far beyond an ordinary win. For the Knicks, winning Game 4 means holding an absolute series clinch point of 3-1. For the Spurs, leveling the series would mean dragging it into a brand-new starting point with a best-of-three situation.
Prediction markets are participating in this Finals showdown in the form of funding votes. As of June 10, 2026, Gate’s prediction market data shows that, due to the Knicks’ home-court advantage in Game 4, current market funds are pricing in a 54% probability of a Knicks win and a 46% probability of a Spurs win. Looking at the series picture, the market funds still favor the Knicks, the team currently leading the series. The chance of winning the NBA championship is 62%, while the Spurs’ is 38%.
How crucial is home-court advantage in Game 4
In the historical context of the NBA Finals, Game 4 has an especially unique position. The difference between 3-1 and 2-2 is almost the same as a turning point in championship prospects. Official NBA data shows that teams that take a 3-1 lead in the Finals have an extremely high probability of ultimately winning the title. Meanwhile, a 2-2 situation means the series is effectively reset to the same starting line, making the outcome far harder to predict. This is the fundamental reason why Game 4 is viewed as a “series turning point.”
After the Knicks won back-to-back on the Spurs’ home court in Games 1 and 2, they returned to Madison Square Garden with a huge 2-0 advantage—an ideal opportunity to end the series. However, they lost Game 3 111-115, snapping the Knicks’ 13-game postseason win streak. Across the entire postseason season, the Knicks have only lost 3 games, and the point margins in those losses were all within 5 points. This shows the team has a certain resilience in tightly contested games, while also exposing instability on the offensive end.
The home-court atmosphere at Madison Square Garden is a variable that can’t be ignored in this Finals run. The lowest ticket price for Game 4 has already exceeded $11,961 (about RMB 81,188). Some seats near the sidelines in the secondary market are even quoted at six-figure USD. Such steep viewing costs mean the crowd inside the arena will consist of the Knicks’ most loyal fans, and the pressure created for the visiting team is self-evident.
Will Victor Wembanyama’s adjustments carry into Game 4
Changes in Victor Wembanyama’s form are one of the most worth-watching dynamics from the first three games of the Finals. In the first two home games, he went 17-for-42 in total, with a field-goal percentage of only 40.5%, and his three-point percentage falling to 26.7%. Across those two games, he had 10 turnovers in total. But in Game 3 away against the Knicks, he delivered a complete set of stats: 32 points, 8 rebounds, 6 assists, and 3 blocks—shooting 11-for-18 (61% FG) with only 1 turnover.
The logic behind this contrast is worth analyzing. Wembanyama’s shot-taking approach in the Chinese-encoded Game 3 changed structurally—his average shot distance shortened from 17.3 feet in Game 1 to 10.6 feet in Game 3. His effective field-goal percentage jumped from 33.3% to 66.7%. He reduced outside ball-handling and long-range attempts, and instead got more involved through backdoor cuts, roll-ups after screens, and finishing in the paint. The core of this style is: the Spurs’ guards initiate the offense, while Wembanyama serves as the finisher rather than the ball-handler creating opportunities.
The suspense of Game 4 lies in whether Wembanyama can sustain this same approach. If he can maintain efficiency and low-post threat inside, the Knicks’ defense will face immense pressure. Statistics show that when Wembanyama scores more than 30 points in a single postseason game this season, the Spurs’ record is 5 wins and 0 losses. This indicates that when the French center dominates the offensive end, the Spurs’ overall tactical system can be fully unleashed.
Can Brunson’s offensive efficiency rebound
Jalen Brunson’s performance across the first three games of the Finals has become a controversial point worth deeper analysis. On the surface, he’s averaging 27.3 points per game, but behind that number lies a significant efficiency issue. In the first three games, Brunson went 82 points on 81 total field-goal attempts; alongside 13 assists, he also had 13 turnovers, resulting in an assist-to-turnover ratio of 1:1.
Even more worth watching is the plus-minus data. Over the 110 minutes Brunson was on the floor, the Knicks were outscored by 13 points on net. For a team built around his offensive system, this reflects that the Spurs’ limiting strategy toward him has been quite successful. With a group of tall, physical guards such as Castle and Fox, the Spurs used high-intensity disruption and trapping to implement pressure on Brunson.
In Game 3, the Knicks had only 18 assists as a whole team, setting a new low for a single postseason game. During the previous 13-game win streak, the team averaged nearly 28 assists per game. This steep drop directly points to offensive stagnation. If Brunson can’t effectively involve teammates in the offense in Game 4, the Knicks will face a scenario of “one-man attacking while the whole team stands by.” That is not a sustainable path to winning against the Spurs’ cohesive defense.
Where does the tactical chess match between the two teams lie
From the technical statistics across the first three games, several clear tactical lines can be identified.
First, the gap in ball movement. In Game 3, the Spurs sent the ball for 28 assists as a team, while the Knicks had only 18. The Spurs used points off turnovers to seize an overwhelming 21-7 advantage. This statistical difference indicates that the Spurs clearly outperform their opponent in terms of offensive fluidity. When Wembanyama reduced his time handling the ball and took on a finishing role, the Spurs’ offensive rhythm became smoother and their rotations more efficient.
Second, the revival of outside shooting. The Knicks’ overall outside shooting in Game 3 was poor. Shooter Shamet went 1-for-8, and Bridges also failed to provide enough firepower. But with home-court advantage as a baseline, it’s highly likely that the two shooters’ makes will regress toward the mean. As long as the Knicks’ perimeter can sustain a certain level of threat, the Spurs won’t be able to shrink the paint and trap Wembanyama without restraint—exactly the opening the Knicks need to create more offensive space.
Third, role stability for key Spurs players. In Game 3, Stephen Castle produced 23 points, becoming the second scoring option behind Wembanyama. Rookie Harper had 13 points, but shot only 5-for-18, showing efficiency volatility. What the Spurs need in Game 4 is multi-point offensive continuity—not just relying on Wembanyama alone. The longer the series drags on, the more obvious the experience-building advantage of the Spurs’ young roster becomes.
Finally, defensive match-up and scheme deployment. In Game 3, the Spurs used more cross-switching defensive strategies, effectively limiting the Knicks’ offensive efficiency. Although Wembanyama is one of the league’s best rim protectors today, he can also face defensive pressure on the perimeter when guarding Towns. In Game 4, adjustments to both sides’ defensive strategies will be one of the key variables affecting who wins.
What does the 54% win rate in prediction markets reflect
Gate’s prediction market data shows a 54% win rate for the Knicks in Game 4 and 46% for the Spurs. Behind this number is a comprehensive judgment made by large amounts of capital—its meaning goes far beyond an ordinary game prediction.
First, it reflects a typical home-court advantage pricing model. The Knicks’ playoff home record this season has been strong, and the crowd atmosphere at Madison Square Garden creates real, objective pressure on visiting teams. A 5 to 6 percentage point advantage reflects the market’s baseline assessment of home-court factors. This range aligns directionally with predictions from traditional sports media like ESPN (Knicks 57.4%, Spurs 42.6%), but is more cautious in magnitude.
Second, the data shows pricing expectations for a “rebound.” The Knicks lost Game 3 at home, yet market funds did not drastically lower their Game 4 win probability. This means mainstream capital believes Game 3’s loss was more driven by day-to-day performance fluctuations rather than structural disadvantages. That’s an important signal: at times, capital flows in prediction markets can be more rational than traditional media because they include continuous reassessment of fundamental factors.
From historical data, when the away team wins all three games in the first three games of a series, the home team’s win probability in Game 4 typically rebounds noticeably. This pattern has reference value in this Finals: Game 1—Knicks win on the road, Game 2—Knicks win on the road, Game 3—Spurs win on the road. The away team captured the first three wins. With the home team holding home-court advantage, the Knicks’ psychological rebound motivation can’t be underestimated.
Why series win probability differs from single-game win probability
Gate’s prediction market data shows the NBA championship win probability is 62% for the Knicks and 38% for the Spurs, while the single-game win probability in Game 4 is 54% for the Knicks and 46% for the Spurs. The difference between these two sets of numbers is worth a deeper breakdown.
The core of the gap is the structural advantage of a “leading scoreline.” The Knicks are currently up 2-1. Even if the Knicks lose Game 4 and the series is leveled to 2-2, they still have room for adjustments in the remaining away games. The market assigns a larger gap to the championship win probability than to the Game 4 win rate because the Knicks have greater margin for error. Even if they lose Game 4, they still have three remaining opportunities in Games 5, 6, and 7. But if the Spurs lose Game 4, they face a 1-3 do-or-die situation, and in Finals history, it’s rare for a team to come back from that.
Additionally, the Finals schedule structure itself creates some path dependency. Game 5 will move to San Antonio. For the Spurs, whether they win or lose Game 4 directly determines whether they can return to Texas with the momentum of home-court advantage. In the pricing models of prediction markets, this path dependency has already been fully priced in by funds.
Why prediction markets have become a reference dimension for event analysis
Prediction markets are becoming one of the fastest-growing tracks in the 2026 crypto industry. As of May 2026, open interest in prediction market categories has surged to a historical high of $1.3 billion. In April 2026, monthly nominal trading volume approached $30 billion. Since entering 2026, nominal trading volume in prediction markets has exceeded $20 billion for four straight months, becoming one of the most prominent areas where user activity growth is showing up in the crypto sector.
The core value of prediction markets is “letting money speak.” When large amounts of capital battle around a particular event, the price formed in the market reflects not only an aggregation of information, but also the collision and clearing of different viewpoints. Take this NBA Finals as an example: before Game 1 started, the market still favored the Spurs to win the championship with a 66% probability. After the Knicks pulled off a road-game turnaround win, the odds flipped quickly. This rapid price discovery efficiency is something traditional opinion platforms can’t match.
Gate completed its integration with Polymarket in March 2026, becoming the world’s first centralized exchange to connect a decentralized prediction market. Users don’t need to connect external wallets or understand complex DeFi processes. They can directly use USDT within the Gate App to participate in various prediction events. This low-friction onboarding is helping prediction markets expand from a niche scenario used by crypto-native users into a new kind of information exchange platform covering areas such as sports, politics, and economics.
FAQ
Q1: What decisive impact does NBA Finals Game 4 have on the series trajectory?
The outcome of Game 4 will directly determine the series direction. If the Knicks win, they will hold an absolute series clinch point of 3-1, and historical data shows the probability of winning the title in this situation is extremely high. If the Spurs tie the series, the series will enter a tense 2-2 situation, returning both sides to the same starting line.
Q2: How does the Gate prediction market derive the 54% and 46% win probability data?
Win probabilities in prediction markets are naturally formed by funding battles. Users trade based on the event of “who wins Game 4, Knicks vs Spurs.” The price reflects the market’s collective assessment of the probability that the event occurs. Data is as of June 10, 2026.
Q3: Why is the Knicks’ championship win probability (62%) significantly higher than the Knicks’ Game 4 win probability (54%)?
The championship win probability accounts for the remaining schedule across the entire series. Even if the Knicks lose Game 4, they still have a chance to win the title in subsequent games. But if the Spurs lose Game 4, they fall into a 1-3 trap. The Knicks’ current 2-1 series lead provides a larger margin for error, so the market’s confidence in their eventual championship is higher than their single-game win probability in Game 4.
Q4: How do crypto prediction markets differ from traditional sports betting?
Crypto prediction markets run on blockchain technology and use decentralized mechanisms. Users directly participate by buying and selling event contracts, rather than placing bets against a platform. Settlement is transparent, and funds can be managed automatically through smart contracts. After Gate integrates with Polymarket, users can participate directly using USDT without connecting an external wallet.
Q5: How can I view NBA Finals prediction market data through Gate?
In the Alpha section of the Gate App, users can directly access the prediction market pages to see real-time win rates, trading volume, and fund flow directions for various events. The platform integrates AI analysis features that automatically organize event background and key factors to help users understand market dynamics.
