Cavaliers vs. Pacers Game 3 Results According to NBA 2K25

According to our NBA 2K25 simulation, the Indiana Pacers will defeat the Cleveland Cavaliers in Game 3, 110-106. Both teams fought back and forth, with Cleveland taking a lead at the half. But a strong third quarter and consistent fourth saw Indiana come back and win Game 3.

Pascal Siakam and Tyrese Haliburton scored a combined 66 points in the win, with the former earning 11 rebounds, four assists, and two steals. Haliburton added five rebounds and two assists, while Benedict Mathurin added 16 points, four rebounds, and two assists. Overall, the Pacers played well offensively, especially in their 61-point second half. We’ll see if they can replicate those numbers in Game 4.

Donovan Mitchell dropped 40 points along with four rebounds, seven assists, and one steal in the loss. We did decide to play Darius Garland, who scored 21 points along with eight assists and a steal. Jarrett Allen even earned 13 rebounds along with 12 points. But these solid performances weren’t enough to help Cleveland in the end. We’ll see if they can make history in Game 4 and beyond.

Additionally, check out some of game stats:

With the win, the Pacers take a 3-0 lead in the series. It now feels like more like a matter of “when” and not “if” anymore, as Indiana has a good shot of winning the series now. Furthermore, they get to stay back home once more in hopes of ending the series in Game 4. Ideally, they’d like to win it all four games to keep their players healthy. But it won’t be easy to sweep the #1 team in the conference.

Meanwhile, the Cavaliers now shockingly trail 0-3 in this series. It’s been a surprising turn of events, and we did not anticipate the team to struggle like this. Of course, injuries never help, and it hurts the team’s depth later in games. But we’ll see if Donovan Mitchell and company can make magic happen in Games 4 and beyond.

That wraps up our Cavaliers vs. Pacers Game 3 results according to NBA 2K25. We hope you enjoyed our simulation. These sims also provide a way for us to improve these predictions by experimenting with CPU sliders. We still want to improve a few things, but we’re getting more satisfied with each sim. We hope to create more accurate sims in the future!

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