Tactics · 11 min read

What is the best basketball tactic? I simulated 153,936 games with 8 offenses and 8 defenses

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There is no single best basketball tactic in Swish & Dunk: in 153,936 games between identical teams, every offense won between 48.8% and 51.0% of its games and every defense between 48.6% and 51.5%. What decides a game is the matchup. Small Ball beats Drop Coverage 58.5% of the time, while the Triangle wins only 40.0% against the same defense. It was not always like this: the first time I ran this experiment, the Princeton offense won 62.3% of its games, and I had to rebalance the game.

Results at a glance

How I ran the experiment

Every number in this article comes from the match engine that plays every official Swish & Dunk game, simulating each possession from the players' ratings. I did not use league results, because in a real league the better roster usually wins and that hides the effect of the tactic. I built a laboratory instead.

The data is public: you can download every game as a compressed CSV file (one row per game, with points, possessions, threes and turnovers for both teams), the summary of the results and the summary of the first run, before the rebalance.

The 16 tactics in the test

Swish & Dunk has 8 offensive and 8 defensive systems, and each one changes the way the engine plays a possession: tempo, shot selection, ball movement, turnover risk, contests and rebounding. The guide to every offense and defense explains them all; the names in the tables below link to the guide of each system.

The first run: one tactic ruled the game

The first version of this experiment, 51,312 games with the original tactics, produced a clear winner. The Princeton offense won 62.3% of its games, Motion 58.2% and the Triangle 57.2%, while Run and Gun won only 35.6%. On defense the Full-Court Press won 58.5% and Pack Line 39.5%. Princeton with the press beat an identical team 71.5% of the time.

The cause was a single factor: turnovers. Princeton lost 10.6 balls per game, Run and Gun 20.4, and the press forced 22.2 per game. In a basketball manager game that is a problem: if one system always wins, every manager copies it and the choice of tactic stops mattering.

TacticFirst run (before)Today (after)
Offenses
Princeton62.3%50.9%
Motion58.2%50.1%
Triangle57.2%48.8%
Spread Pick-and-Roll51.0%50.3%
Small Ball45.8%51.0%
5-Out45.7%50.0%
Pace and Space44.2%49.7%
Run and Gun35.6%49.3%
Defenses
Full-Court Press58.5%50.5%
No-Middle54.8%51.4%
Half-Court Trap54.6%51.5%
Switch-Everything52.3%50.7%
Match-Up Zone51.9%49.2%
Man-to-Man45.4%48.9%
Drop Coverage42.9%48.6%
Pack Line39.5%49.2%

What I changed in the game

I made two changes to the Swish & Dunk match engine, both tested with the same laboratory before going live.

Which offense wins the most today?

None by a clear margin. The 8 offenses finished between 48.8% and 51.0%, and most differences are within the ±1.1 margin of error: Small Ball (51.0%), Princeton (50.9%), Spread Pick-and-Roll (50.3%), Motion (50.1%), 5-Out (50.0%), Pace and Space (49.7%), Run and Gun (49.3%) and the Triangle (48.8%).

OffenseWin %Point marginPoints per 100 possessionsPossessionsTurnoversShots from three
Small Ball51.0% ±1.1+0.4117.0103.313.448.4%
Princeton50.9% ±1.1+0.2117.096.313.744.9%
Spread Pick-and-Roll50.3% ±1.1+0.1116.899.814.343.7%
Motion50.1% ±1.1+0.1116.899.514.544.1%
5-Out50.0% ±1.1+0.1117.0100.812.548.3%
Pace and Space49.7% ±1.1-0.2116.7102.714.449.0%
Run and Gun49.3% ±1.1-0.3116.8107.215.741.1%
Triangle48.8% ±1.1-0.4116.597.614.639.8%

The styles are still very different: Run and Gun plays 107.2 possessions per game and Princeton 96.3, Pace and Space takes 49.0% of its shots from three and the Triangle 39.8%. They simply reach almost the same efficiency, about 117 points per 100 possessions, by different roads.

Which defense wins the most today?

The Half-Court Trap (51.5%) and No-Middle (51.4%) lead by a hair over Switch-Everything (50.7%) and the Full-Court Press (50.5%); Drop Coverage closes at 48.6%. The press is still the defense that forces the most turnovers, 19.5 per game against about 14 for a balanced defense, but it pays for them with more possessions and fouls.

DefenseWin %Point marginPoints allowed per 100 possessionsTurnovers forcedPossessions
Half-Court Trap51.5% ±1.1+0.4116.517.7101.6
No-Middle51.4% ±1.1+0.4116.312.799.6
Switch-Everything50.7% ±1.1+0.1116.614.199.7
Full-Court Press50.5% ±1.1+0.3116.419.5104.6
Match-Up Zone49.2% ±1.1-0.3117.310.899.4
Pack Line49.2% ±1.1-0.2117.312.3100.6
Man-to-Man48.9% ±1.1-0.2117.213.8100.0
Drop Coverage48.6% ±1.1-0.5117.512.1100.3

Offense against defense: the full matrix

This is where tactics make the difference. Every cell is the win percentage of a team using the offense in the row against an identical team using the defense in the column. Green means the offense wins more often, red means the defense does.

Win percentage of the offense in each row against the defense in each column
Offense ↓ / Defense →Half-Court TrapNo-MiddleSwitch-EverythingFull-Court PressMatch-Up ZonePack LineMan-to-ManDrop Coverage
Small Ball49.552.842.546.246.456.450.958.5
Princeton54.651.154.656.752.646.552.146.8
Spread Pick-and-Roll46.949.350.746.751.151.150.949.6
Motion49.948.553.349.648.646.449.946.0
5-Out49.448.148.648.747.354.649.257.1
Pace and Space48.149.144.547.148.255.849.156.1
Run and Gun46.446.453.346.256.347.152.649.9
Triangle46.047.158.351.154.643.850.940.0

Win % of the team using the offense in the row against an identical team using the defense in the column. 1,404 games per cell, margin of error about ±2.6 points.

OffenseBest matchupWorst matchup
Small BallDrop Coverage 58.5%Switch-Everything 42.5%
PrincetonFull-Court Press 56.7%Pack Line 46.5%
Spread Pick-and-RollMatch-Up Zone 51.1%Full-Court Press 46.7%
MotionSwitch-Everything 53.3%Drop Coverage 46.0%
5-OutDrop Coverage 57.1%Match-Up Zone 47.3%
Pace and SpaceDrop Coverage 56.1%Switch-Everything 44.5%
Run and GunMatch-Up Zone 56.3%Full-Court Press 46.2%
TriangleSwitch-Everything 58.3%Drop Coverage 40.0%

Why some matchups win and others lose

Three rules explain almost the whole matrix. They come from the identity of each system, the same values described in the guide of every tactic.

Turnovers still matter, as Dean Oliver's "four factors" explain in the guide to analyzing basketball stats, but they are no longer the only thing that decides a game.

How to choose your tactic

The practical rule is to look at the opponent's system and pick the counter.

Does it depend on the team?

Very little. I repeated every test with three rosters of very different quality, and no tactic left the 46-53% range at any level. Small Ball won 51.1% with the Division 1 roster, 50.6% with the Division 5 one and 51.4% with the Division 10 one; the Triangle 48.6%, 48.0% and 49.7%. The right tactic matters as much for a Division 10 club as for a Division 1 club.

TacticDivision 1 (OVR 83.3)Division 5 (OVR 79.5)Division 10 (OVR 70.8)
Offenses
Small Ball51.1%50.6%51.4%
Princeton51.9%50.1%50.7%
Spread Pick-and-Roll49.9%50.8%50.1%
Motion49.9%49.6%50.8%
5-Out50.8%51.3%47.8%
Pace and Space48.9%49.8%50.4%
Run and Gun48.9%49.7%49.1%
Triangle48.6%48.0%49.7%
Defenses
Half-Court Trap50.7%51.8%52.0%
No-Middle52.0%51.7%50.5%
Switch-Everything50.3%51.1%50.8%
Full-Court Press49.1%52.0%50.4%
Match-Up Zone50.4%49.4%47.8%
Pack Line48.7%48.3%50.7%
Man-to-Man48.7%49.5%48.4%
Drop Coverage50.0%46.2%49.4%

Is there still a winning combination?

No. Princeton with the Full-Court Press, the combination that won 71.5% in the first run, now wins 52.7% of 3,600 games (±1.6) against an identical team playing the fair mix, by 0.8 points on average: 52.5% in Division 1, 52.0% in Division 5 and 53.5% in Division 10. There is no tactic to copy and forget: the advantage comes from reading the opponent.

What it says about real basketball

These results describe the Swish & Dunk simulator after the October 2026 rebalance, not every level of real basketball. The three matchup rules follow real coaching logic: switching on every screen takes threes away but invites mismatches inside, a sagging defense protects the rim but leaves shooters open, and passing is the classic answer to pressure. Real basketball adds much more: adjustments during the game, set plays, player habits and scouting do not exist in this experiment.

The first run is also an honest lesson about simulators: a model that looks reasonable can hide a dominant strategy until you test it on thousands of games. If the engine changes again, I will run the experiment again and update this page.

Think you can read the opponent better than the lab?

I tested 16 tactics on identical teams. In the game, your roster is unique and every opponent plays its own system: your shooters, your big men and your playmakers can change which counter works best. Pick your system, look at what the other team plays and see if you can turn the matchup in your favor.

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