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Loong-Lions vs Spurs prediction NBA · Monday, October 6

FinalFrost Bank Center · CWSA, NBA League Pass
50% win GUAwin SA 50%
FavoriteGUA
Projected margin0.0
Projected total230
ConfidenceLow

At a glance

The San Antonio Spurs host the Guangzhou Loong-Lions on Monday, October 6 at 8:00 PM ET at Frost Bank Center in NBA action. Final score: Loong-Lions 88 – Spurs 119. Before tip-off, the Basketlog model gave the Loong-Lions a 50% chance to win: prediction missed.

The analysis Model

Close to a coin flip: nothing really sets either side apart. The model projects Spurs 115 – 116 Loong-Lions, a margin of about 0.0 points in favor of the Loong-Lions and a total around 230 points. Expect a game at a standard NBA pace. Early season: the numbers still lean heavily on last season, so confidence stays cautious.

  • The Spurs need to win the pace battle to stay in the game.

What tips the balance

In points, positive = edge Spurs
Team strength (adjusted point differential)SA -2.3 / GUA 0.0 per game
-2.3
Home-court advantageSpurs at home
+2.3
Expected marginfor Spurs
-0.0

Scenarios

Spurs win by 10+
21%
Close game (margin ≤ 5)
31%
Loong-Lions win by 10+
21%

Stat comparison Current season

GUASA
114.5
Points scored / game
113.9
114.5
Points allowed / game
116.7

Shooting stats unavailable for now.

Top performers

Loong-Lions
Frank KaminskyF · #4422pts / game
Tim FrazierPG · #105assists
Frank KaminskyF · #447rebounds
Spurs
Julian ChampagnieF · #3016pts / game
Victor WembanyamaF · #17assists
Victor WembanyamaF · #110rebounds

Recent form

Last 5 games (including preseason early in the season)
GUA
No games played yet.
SA
No games played yet.

Head-to-head

No meetings scheduled this season.

Team comparison

GUASA
–Record1-0
114.5Points scored / game113.9
114.5Points allowed / game116.7
0.0Adjusted margin / game-2.3
–Current streak–
–Last 10 games–
–Home / road record–
–Last season34-48 (-2.8)
NoPlayed yesterdayNo

Injury report Loong-Lions

No injuries reported.

San Antonio Spurs Injury report Spurs

No injuries reported.

Probabilities estimated by the Basketlog model from available public data; early in the season they rely heavily on last season. They are neither a certainty nor betting advice.