Welcome to our NBA Team Stats page, your go-to source for in-depth performance metrics, detailed team analysis, and real-time game data that highlight every facet of team performance; explore comprehensive statistics and insights that break down the numbers behind every matchup, and be sure to check out our NBA starting lineups for an exclusive look at the players driving the action.
Welcome to our NBA Team Stats page, your go-to source for in-depth performance metrics, detailed team analysis, and real-time game data that highlight every facet of team performance; explore comprehensive statistics and insights that break down the numbers behind every matchup, and be sure to check out our NBA starting lineups for an exclusive look at the players driving the action.
1. | | 121.9 |
2. | | 121.7 |
3. | | 120.8 |
4. | | 120.5 |
5. | | 118.2 |
6. | | 117.8 |
7. | | 117.3 |
8. | | 116.3 |
9. | | 115.8 |
10. | | 115.7 |
1. | | 31 |
2. | | 29.6 |
3. | | 29.2 |
4. | | 29.1 |
5. | | 29.1 |
6. | | 28.6 |
7. | | 28.5 |
8. | | 28.4 |
9. | | 28.1 |
10. | | 27.8 |
1. | | 94 |
2. | | 94 |
3. | | 93 |
4. | | 92 |
5. | | 91 |
6. | | 90 |
7. | | 88 |
8. | | 87 |
9. | | 87 |
10. | | 86 |
1. | | 6 |
2. | | 5.7 |
3. | | 5.6 |
4. | | 5.5 |
5. | | 5.5 |
6. | | 5.5 |
7. | | 5.4 |
8. | | 5.3 |
9. | | 5.3 |
10. | | 5.2 |
1. | | 847 |
2. | | 798 |
3. | | 773 |
4. | | 771 |
5. | | 752 |
6. | | 729 |
7. | | 726 |
8. | | 701 |
9. | | 694 |
10. | | 689 |
1. | | 10.3 |
2. | | 9.7 |
3. | | 9.4 |
4. | | 9.4 |
5. | | 9.2 |
6. | | 8.9 |
7. | | 8.9 |
8. | | 8.5 |
9. | | 8.5 |
10. | | 8.4 |
1. | | 50.6 |
2. | | 49.1 |
3. | | 48.8 |
4. | | 48.6 |
5. | | 48.6 |
6. | | 48.2 |
7. | | 48.2 |
8. | | 47.9 |
9. | | 47.9 |
10. | | 47.9 |
1. | | 60.7 |
2. | | 60.4 |
3. | | 59.8 |
4. | | 59.5 |
5. | | 59.4 |
6. | | 59.3 |
7. | | 59.3 |
8. | | 59.1 |
9. | | 58.9 |
10. | | 58.9 |
1. | | 81.9 |
2. | | 81 |
3. | | 80.9 |
4. | | 80.6 |
5. | | 80 |
6. | | 79.9 |
7. | | 79.7 |
8. | | 79.1 |
9. | | 78.9 |
10. | | 78.9 |
1. | | 1,457 |
2. | | 1,303 |
3. | | 1,266 |
4. | | 1,264 |
5. | | 1,233 |
6. | | 1,192 |
7. | | 1,176 |
8. | | 1,161 |
9. | | 1,158 |
10. | | 1,144 |
1. | | 3,955 |
2. | | 3,475 |
3. | | 3,447 |
4. | | 3,401 |
5. | | 3,269 |
6. | | 3,267 |
7. | | 3,246 |
8. | | 3,232 |
9. | | 3,210 |
10. | | 3,184 |
1. | | 38.7 |
2. | | 38.3 |
3. | | 37.8 |
4. | | 37.7 |
5. | | 37.6 |
6. | | 37.4 |
7. | | 37.3 |
8. | | 36.9 |
9. | | 36.8 |
10. | | 36.8 |
1. | | 2,542 |
2. | | 2,426 |
3. | | 2,398 |
4. | | 2,386 |
5. | | 2,383 |
6. | | 2,348 |
7. | | 2,340 |
8. | | 2,330 |
9. | | 2,304 |
10. | | 2,277 |
1. | | 31 |
2. | | 29.6 |
3. | | 29.2 |
4. | | 29.1 |
5. | | 29.1 |
6. | | 28.6 |
7. | | 28.5 |
8. | | 28.4 |
9. | | 28.1 |
10. | | 27.8 |
1. | | 9.4 |
2. | | 7.1 |
3. | | 7.1 |
4. | | 6.9 |
5. | | 6.8 |
6. | | 6.8 |
7. | | 6.7 |
8. | | 6.6 |
9. | | 6.5 |
10. | | 6.4 |
1. | | 3,974 |
2. | | 3,875 |
3. | | 3,760 |
4. | | 3,751 |
5. | | 3,724 |
6. | | 3,723 |
7. | | 3,721 |
8. | | 3,716 |
9. | | 3,706 |
10. | | 3,700 |
1. | | 1,200 |
2. | | 1,095 |
3. | | 1,056 |
4. | | 1,034 |
5. | | 1,029 |
6. | | 1,003 |
7. | | 993 |
8. | | 983 |
9. | | 974 |
10. | | 933 |
1. | | 2,935 |
2. | | 2,882 |
3. | | 2,832 |
4. | | 2,819 |
5. | | 2,806 |
6. | | 2,801 |
7. | | 2,783 |
8. | | 2,774 |
9. | | 2,760 |
10. | | 2,750 |
Contents
NBA team stats provide a deeper understanding of each squad’s strengths and weaknesses beyond simple win-loss records. By analyzing key metrics—like offensive efficiency, defensive rating, pace, and rebounding differentials—you can gain insight into how teams produce results on the court. Whether you’re a bettor, a DFS enthusiast, or a season-long fantasy manager, understanding these statistics can help you identify overlooked opportunities or potential pitfalls.
Many fans rely on raw averages, such as points per game or rebounds per game, but advanced metrics shed more light on a team’s real performance level. Factoring in possessions, opponent quality, and situational efficiency often reveals hidden patterns that don’t show up in basic box scores. Staying current on how teams stack up statistically—especially as injuries, trades, and schedule quirks arise—allows you to adjust your strategies in betting, DFS, or fantasy leagues with greater precision.
Different outlets track and report NBA team stats using various methodologies. Common measures like Offensive Rating (points scored per 100 possessions), Defensive Rating (points allowed per 100 possessions), and Net Rating (the difference between offensive and defensive ratings) paint a clearer picture of overall efficiency than raw points or opponent field-goal percentages. Some advanced models also incorporate Strength of Schedule adjustments, giving a more accurate view of how a team performs against varied competition.
Additionally, specialized stats like assist percentage, pace factor, and rebound rate help pinpoint how teams generate scoring opportunities or secure possessions. Identifying which metrics align with your betting or fantasy strategy is crucial. For instance, if you prefer to wager on totals, focusing on pace- and offense-driven stats might be more beneficial, whereas a DFS manager could prioritize usage rates and shots attempted to optimize player choices.
A team’s overall statistical profile can be distorted by facing unusually weak or strong opponents in the early part of the season. Strength of Schedule (SOS) adjustments are designed to account for this, illuminating whether a team’s gaudy stats stem from rolling over weaker foes or genuinely excelling against top-tier competition. When comparing two teams with similar offensive ratings, for example, a closer look at their respective opponents can highlight which one truly measures up against high-level defenses.
On the flip side, a team with average stats could be far better than it seems if it endures a particularly grueling stretch—like consecutive road games or matchups against elite clubs. A slump in shooting percentages might reflect tough opponents rather than declining skill. By factoring in SOS, you can more confidently distinguish between fluke performances and legitimate trends when placing bets or weighing DFS/fantasy options.
Team stats are rarely static; injuries and roster shuffles often change a squad’s on-court identity. Losing a rim protector might spike an otherwise stout defense’s allowed field-goal percentage in the paint, while a sidelined playmaker could cause overall assist rates to plummet. Meanwhile, a deep bench can mitigate or even boost certain stats if the rotation adjusts smoothly to a missing starter.
When poring over advanced stats, keep tabs on how they shift after key injuries or returns. A once-elite offense might taper off if its top scorer is sidelined. Conversely, if multiple role players excel when given extra minutes, a team could maintain solid offensive production. Incorporating these changes into your analysis helps you move faster than the broader market—especially in short-term betting markets and weekly fantasy lineup calls.
Statistical evaluations form the backbone of betting strategies for many sharp bettors. By dissecting a team’s offensive rating, defensive rating, turnover rate, and pace, you gain insight into how that team is likely to perform under different game scenarios. Sportsbooks often rely on these stats to set lines, meaning a shrewd observer can spot discrepancies if they delve deeper than common metrics.
A team that racks up impressive per-game numbers might not be as strong on a per-possession basis, especially if it plays at a high pace. Conversely, a slow-tempo team with average scoring might, in fact, be highly efficient. Recognizing these nuances creates betting edges—like pinpointing unders for overvalued offenses or backing underdogs that excel in half-court execution.
Totals betting is heavily influenced by how many possessions a team generates (pace) and how efficiently it converts those possessions into points (offensive rating). If two high-paced, offense-oriented teams clash, the total line might skyrocket—but examining whether either squad’s defense can slow the game at critical junctures is crucial. Additionally, injuries to key defenders or rim protectors can inflate scoring potential for both sides.
Similarly, a top-tier offense with a robust defense could still produce relatively low totals if it forces opponents into inefficient shot selections or commits fewer turnovers. Understanding the interplay of pace, defensive schemes, and shooting variance can direct you to over or under bets that might not be obvious at first glance.
Exploiting mismatch-based upsets often involves drilling down into advanced stats. A solid but unheralded defense might fare well against a stat-padding offense that relies on transition points. If the defense is adept at limiting fast breaks (e.g., excellent defensive rebounding and low turnover rates), it can derail that offense’s typical production—creating an opportunity for an upset.
Minor roster tweaks, like adding a perimeter stopper or acquiring a more efficient backup guard, may drastically improve key metrics. If these improvements aren’t reflected in recent betting lines, underdog bettors can capitalize. On the flip side, a team showcasing elite offense might see a dip if an injury exposes poor bench depth—again, advanced metrics often reveal these cracks before the public narrative shifts.
When you’ve identified a stat-based edge, sportsbook promos can multiply your potential winnings. Free bets, deposit matches, and boosted odds pair perfectly with well-researched wagers. Here are some top deals:
Team stats ebb and flow based on opponent matchups, schedule demands, and real-time roster changes. DFS pricing and prop lines can lag behind these stat fluctuations, creating prime opportunities for daily fantasy enthusiasts and prop bettors. Identifying an improving offense or an opponent’s weakening defense before it’s widely recognized can result in undervalued player salaries or soft player-prop lines.
Keeping an eye on advanced stat trackers that update daily helps you detect potential breakouts or slumps. For instance, if a team’s three-point percentage has climbed steadily, that might elevate the entire starting lineup’s fantasy outlook—particularly if the market still views the squad as a mediocre shooting team.
Knowing how teams create (or defend) certain shot types can give DFS players an edge. For example, a squad that ranks highly in driving to the rim may thrive against an opponent that allows easy paint access. Meanwhile, elite perimeter defenses can stifle teams reliant on three-pointers, limiting fantasy upside for certain shooters. Checking synergy-based stats, like pick-and-roll efficiency or catch-and-shoot metrics, can guide your DFS lineup construction.
If a team’s stats indicate that it struggles to contain versatile forwards, targeting those positions in DFS rosters could yield high-upside returns. Conversely, if an opponent’s advanced metrics highlight dominant rim protection, you may want to avoid bigs who rely on post scoring.
While pregame stats shape initial betting lines, in-game momentum can override static metrics. A top-rated defense might get torched if a sharpshooter catches fire, or a below-average offense could surge if it feasts on fast-break opportunities off turnovers. Live bettors who combine advanced stats with real-time performance can pivot quickly, exploiting temporary inefficiencies in the lines.
Moreover, coaching adjustments that alter a team’s defensive scheme or substitution patterns can either reinforce or undermine its typical statistical profile. Recognizing these adjustments midgame—perhaps the introduction of a defensive-minded bench unit—can help you capitalize on new angles in real time.
Season-long fantasy managers often rely on individual player stats, yet team context is equally vital. A team ranking near the top in pace naturally offers more possessions, benefiting all its players’ counting stats. On the flip side, a low-possession squad might cap certain fantasy ceilings, even if individual players are talented.
Additionally, shifts in advanced team stats—like an uptick in assist percentage—can boost the fantasy prospects of guards and wings who create offense, while a rise in defensive rebound rates might signal more boards for big men. Staying tuned to these team-wide changes can help you make timely lineup tweaks or waiver claims.
Some franchises, overshadowed by bigger-market teams, can produce surprisingly strong advanced stats. If a mid-table squad quietly climbs the offensive-efficiency rankings, its core players could become high-value fantasy targets before the larger fantasy community notices. A big man on a team excelling in half-court sets, for example, might offer steady points and rebounds at a bargain cost.
Conversely, a team’s strong record might disguise tepid underlying stats, indicating potential regression. Savvy fantasy managers will trade away players whose elevated production depends on unsustainable shooting percentages or an unusually soft schedule. By tracking these subtle indicators, you can stay ahead of the competition as rosters evolve throughout the season.
Coaches sometimes shift strategies mid-season, introducing a faster pace or emphasizing ball movement. This can spike team stats like assist percentage or pace factor, helping unheralded role players gain fantasy relevance. Monitoring a coach’s postgame comments or track record can reveal if a style change is on the horizon.
Alternatively, a defensive-minded coach might lock down rotations, leading to fewer possessions and lower-scoring outputs overall. In that scenario, big men could see consistent minutes, but perimeter players might suffer from reduced pace or fewer fast-break points. Adjusting your fantasy roster to these shifts in real time often yields a valuable competitive edge.
Sometimes a team’s raw stats balloon during a stretch of games against poor defenses or plummet after facing elite opponents. Season-long fantasy managers should note these swings, distinguishing between genuine improvements and schedule-based spikes. If a previously average offense climbs the league’s scoring charts thanks to encountering several tanking franchises in a row, that rise may not hold once tougher matchups return.
On the other hand, a drop in shooting percentage or pace might correct itself if a team’s upcoming schedule includes more home games or mismatched opponents. Timing trades or waiver moves around these schedule-influenced fluctuations can cement your spot atop your fantasy league.
While the scoreboard tells you who won, team stats explain how they did it—offering context for each success or failure on the floor. From betting lines to DFS pricing and fantasy league standings, those who leverage advanced metrics often outperform rivals who depend on basic stats alone. Recognizing trends in pace, efficiency, and situational play can demystify surprising outcomes and highlight undervalued teams or players.
Staying attuned to the interplay of offense and defense at a granular level also refines your predictions. A balanced perspective—incorporating pace, shot distribution, and matchups—lets you project whether a team’s statistical profile is sustainable or a flash in the pan. By regularly revisiting updated stats and cross-referencing results, you’ll sharpen your instincts and build a richer understanding of the NBA’s competitive landscape.
Over the years, certain NBA squads have posted exceptional team stats that set them apart from their peers. These rosters often blend elite offensive firepower with stout defense, resulting in jaw-dropping efficiency and dominance on both ends of the court.
Phil Jackson’s triangle offense relied on crisp passing and constant motion, keeping defenses on their heels. Coupled with Rodman’s rebounding dominance and Jordan’s scoring prowess, the Bulls’ high net rating was a testament to how cohesive team play can produce unrivaled results.
With Durant, Stephen Curry, Klay Thompson, and Draymond Green, the Warriors transcended conventional basketball roles. Their interchangeable skill sets kept their offense unpredictable and their defense unbreakable, cementing their place among the most dominant teams in NBA history, statistically and otherwise.