Player Prop Data for Both Game Two's in the NBA

What can we learn from both game ones?

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Today’s Newsletter: Learning From Game One

Conference Championships for the NBA are underway, and we’re focusing our data on what we can learn from game one in both series. Below, you’ll find out MLB head-to-head data sheet for May 22nd! Let’s get into our NBA focus.

🏀 NBA: What We Learned

Minnesota vs. OKC
The Timberwolves led by 4 at halftime, 48–44. Then OKC flipped the script, dominating the second half and cruising to a 114–88 win. Despite the blowout, Game 1 reinforced something important: Julius Randle is still a reliable option.

New York vs. Indiana
Game 1 was wild — the Knicks blew a 14-point lead late, and the Pacers sealed it in OT. The key takeaway? Myles Turner has no answer for Karl-Anthony Towns.

Heading into Game 1, Randle was averaging 23.9 PPG in the playoffs, clearing his 19.5 line in 8 of 10 games. But he had only played one game this season against OKC because of injury, and in that game managed 27 minutes and just 11 points. Because of that, we questioned if we could trust his strong playoff performances to continue against a team as good as OKC defensively. Well, he put the doubt to rest.

He delivered in game one:

  • 28 points

  • 36 minutes

  • 13 FGA / 9 FGM

  • 6 free throw attempts

When Randle plays 30+ minutes and attempts 10+ shots across the regular season and playoffs, he averages 21.8 points.

Randle this season playing 30+ minutes and attempting 10+ shots

He cleared his 19.5-point line 71% of the time in those situations.

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KAT, 23.5 Points

KAT’s early-season game vs. Indiana (21 points) was the outlier. Since then, he’s put up 30, 40, and 35 in three straight games against them — including Game 1 of this series.

KAT head-to-head against Indiana this season, with the most recent games on the right

Game 1 breakdown:

  • 17 FGA / 11 FGM

  • 11 free throw attempts

  • 35 points

Is 11 FTA sustainable? Not really — he averaged just 5.5 per game this season. But against Indiana specifically, he averaged 9.5 FTA, 17.5 FGA, and 37.2 minutes across four games.

So what happens when we apply some filters to KAT’s season?

We looked at all the games where he had:

  • 5+ free throw attempts

  • 35+ minutes

  • 15+ field goal attempts

Leaving some room for below-average games close to those parameters.

KAT this season playing 35+ minutes, attempting 15 or more shots and 5 or more free throws

In those games, KAT averaged 31.2 points and cleared his 23.5-point line 75% of the time.

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MLB Head-to-Head Data Sheet, May 22nd

⚾️ Judge: .444 vs Eovaldi (28 PA) — .467 vs LHP in ‘25. 💣
⚾️ Mullins: .556 vs Giolito (9 PA) — Hit in 4 straight, 14 HRR 🧨
⚾️ Castellanos: 4 hits in 10 PA vs Marquez — 5-game hit streak, 15 HRR 🔥
⚾️ Albies: .333 vs Williams (17 PA) — Hit in 7 straight, 15 HRR 👀

MLB head-to-head datasheet

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See you Tuesday!