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Jinx LoL Script Settings: Orbwalker, Swaps & Humanizer

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Quick verdict: Jinx scripting lives or dies on swap discipline and attack-move delay. Set orbwalker windup at 0 ms, attack-move delay at 40-60 ms, and humanizer at 12-18% jitter with Bezier pathing to mirror Challenger ADC input cadence.

Jinx is the most sensitive ADC in the game to orbwalker timing errors. Her minigun attack speed ramp changes her windup every 0.6 seconds she stays in combat, and her rocket launcher trades 10% total attack speed for 25 extra range and splash. A generic script profile tuned for Caitlyn or Ashe will stutter her autos, cancel her Q swaps, and out her input cadence within two waves. This guide covers the exact jinx lol script settings that hold up in Diamond-plus ranked: orbwalker attack-move delay, minigun-to-rocket swap windows, and humanizer values that don't look like a bot.

Jinx Attack Windup and Why Orbwalker Delay Matters

At level 1 with no items, Jinx's base attack speed is 0.625 and her windup percentage is roughly 24% of the attack animation. That means her windup at 0.625 AS is about 384 ms. With minigun fully stacked (three stacks, up to 2.5 attack speed at cap), windup drops into the 60-80 ms range. An orbwalker that uses a fixed attack-move delay will either cancel autos at low stacks or lag behind at high stacks. The script needs to read the current attack speed value from the game state each tick and compute windup dynamically.

Set the orbwalker windup offset to 0 ms and the attack-move delay (the pause after the projectile spawns before the next move command) to 40-60 ms. Below 40 ms, the move command fires before the auto resolves and you lose the damage. Above 80 ms, you're standing still long enough for a Blitzcrank hook or a Thresh Q to land. The sweet spot for Jinx at 1.5-2.0 attack speed is 45 ms. At 2.5 attack speed, drop it to 35 ms.

  • Windup offset: 0 ms (let the script read the live windup value)
  • Attack-move delay at <1.0 AS: 70-80 ms
  • Attack-move delay at 1.0-1.8 AS: 50-60 ms
  • Attack-move delay at 1.8-2.5 AS: 35-45 ms
  • Cancel window (auto-cancel threshold): 15% of windup

Minigun vs Rocket Launcher Swap Timing

Jinx lol script settings menu showing orbwalker attack-move delay and humanizer sliders

Jinx's Q swap has a 0.4-second cast time that can be buffered during the attack animation but not during the windup itself. The correct swap window is the frame after the projectile leaves the barrel — roughly 20-30 ms after windup completes. If your script swaps during windup, the auto cancels. If it swaps during the attack-move delay, you lose 0.4 seconds of DPS uptime. The orbwalker needs a dedicated Q-swap hook that fires only on the post-projectile tick.

Rocket mode is for three things: poking through minion waves, hitting targets outside minigun's 525 range, and applying splash in teamfights. Minigun is for single-target DPS on tanks and objectives. A well-tuned League of Legends script like Cado exposes a swap-on-range toggle: the script auto-swaps to rockets when the target is beyond 500 units and back to minigun when the target closes inside 450. That 50-unit hysteresis band prevents swap-thrashing at the range boundary, which is the single most obvious tell of a Jinx script in replay review.

Rocket Mode Mana Discipline

Each rocket auto costs 20 mana. At 2.0 attack speed, that's 40 mana per second. Jinx's base mana pool at level 9 is around 550. A script that swaps to rockets for every auto will run her OOM in 12 seconds and lose the fight. Cap rocket usage to targets beyond minigun range plus one splash auto per wave for push. The humanizer should also add a 1-2% chance of a mis-swap on low-priority targets to break the perfect-swap pattern.

Humanizer Settings That Survive Replay Review

Riot's detection stack is not looking at one input. It looks at input entropy across a session: cursor path variance, click interval distribution, and the ratio of attack-move to right-click commands. A raw script produces near-zero variance. A humanizer injects controlled noise. For Jinx, the target profile is 12-18% jitter on attack-move delay, 8-14% jitter on swap timing, and a Bezier mouse path with a 3-6% chance of overshoot per movement.

Bezier path randomization works by replacing the straight-line interpolation between cursor positions with a cubic curve whose control points are randomized within a radius proportional to travel distance. For a 200-unit cursor move, control points should deviate 15-30 units off the direct line. For a 600-unit move (flash range), 40-80 units. This mirrors the natural arc a human wrist produces when flicking across the screen.

  1. Attack-move delay jitter: 12-18% (Gaussian distribution, not uniform)
  2. Swap timing jitter: 8-14%
  3. Cursor path: cubic Bezier, control point deviation 7-12% of travel distance
  4. Overshoot chance: 3-6% per move, corrected within 40-80 ms
  5. Idle micro-pause: 1-3 random pauses of 80-200 ms per 10 seconds
  6. Right-click to attack-move ratio: 60/40 minimum

Why Gaussian Beats Uniform Jitter

Uniform jitter produces a flat distribution of click intervals. Human click intervals cluster around a mean with tails. If your script's attack-move delay is uniformly distributed between 40 and 60 ms, a statistical analyzer sees no central tendency. A Gaussian distribution centered at 48 ms with a 5 ms standard deviation produces the cluster-and-tail pattern that matches real players. This is the difference between a script that survives a manual review and one that gets flagged by a pattern classifier.

Vanguard Ring-0 and Input Injection for Jinx

Jinx rocket launcher swap timing overlay during a ranked teamfight in League of Legends

Vanguard runs as vgc (user-mode service) and vgk (kernel-mode driver). The vgk driver hooks input at the kernel level and monitors for synthetic input via IOCTL requests to the input stack. A user-mode script that calls SendInput or mouse_event gets flagged because the input doesn't carry the hardware device signature. Kernel-level scripting bypasses this by injecting at the driver layer, below the point where vgk inspects the input buffer.

The trade-off is complexity. Kernel injection requires a signed driver or a vulnerable driver exploit, and Vanguard's driver integrity checks run at boot. HWID spoofing is the fallback when the injection layer gets detected: it randomizes the disk serial, MAC address, and SMBIOS UUID so a new account doesn't inherit the flag. For Jinx specifically, the input cadence matters more than the injection method because her swap pattern is the loudest signal in the replay.

Target Selector Tuning for Jinx

Jinx's target priority in a teamfight is not the closest enemy. It's the highest-threat target within minigun range that can be killed before the fight collapses. The target selector should weight by a composite score: current HP percentage, distance to Jinx, whether the target has a gap-closer off cooldown, and whether the target is currently CC'd. A Zed with ult up at 800 units is a higher priority than a 30% HP Leona at 300 units, because the Zed kills Jinx and the Leona doesn't.

  • Priority 1: CC'd carries within 550 units
  • Priority 2: Squishies within minigun range with no defensive cooldowns
  • Priority 3: Frontline tanks only when no other target is reachable
  • Exclude: Targets with active spell shields (Sivir E, Nocturne W) unless shield is on cooldown
  • Range gate: Never auto-target beyond 600 units unless swap-on-range is enabled

Passive Reset Awareness

Jinx's passive (Get Excited!) grants 175% total attack speed and 25% movement speed for 6 seconds on takedown. During this window, the orbwalker's attack-move delay should drop to 25-30 ms and the humanizer jitter should scale down proportionally, because real players under passive are mashing faster. A script that keeps the same delay during passive looks sluggish; a script that drops too low looks robotic. Scale jitter to 60% of baseline during the passive window.

Putting the Profile Together

The full jinx lol script settings profile: windup offset 0 ms, attack-move delay 45 ms baseline with Gaussian jitter at 5 ms SD, Q-swap hook on post-projectile tick with 50-unit hysteresis, rocket usage capped at one splash auto per wave plus ranged targets, target selector weighted by threat score, and humanizer at 12-18% jitter with cubic Bezier cursor paths and 3-6% overshoot. Test in practice tool against a target dummy at 1.5, 2.0, and 2.5 attack speed before taking it into ranked.

The tell that gets Jinx scripts banned is not the aim or the dodge. It's the swap pattern. A human swaps to rockets for a reason — a minion block, a fleeing target, a teamfight splash angle. A script swaps on a timer. If your replay shows rockets going up on cooldown with no tactical reason, the humanizer isn't doing its job. Add a 1-2 second random delay to non-critical swaps and let the target selector drive the decision, not the clock.

FAQ

What attack-move delay should I use for Jinx in a LoL script?

45 ms baseline at 1.5-2.0 attack speed, dropping to 35 ms above 2.0 and rising to 70-80 ms below 1.0. The delay must scale with current attack speed, not stay fixed, because Jinx's minigun ramp changes her windup every 0.6 seconds.

How do I stop my Jinx script from swap-thrashing between minigun and rockets?

Add a 50-unit hysteresis band. Swap to rockets when the target is beyond 500 units and back to minigun when it closes inside 450. Without hysteresis, the script swaps every tick at the range boundary, which is the most obvious script tell in replay review.

What humanizer values look natural for Jinx in ranked?

12-18% Gaussian jitter on attack-move delay, 8-14% on swap timing, cubic Bezier cursor paths with 7-12% control point deviation, and 3-6% overshoot chance per movement. Uniform jitter fails pattern classifiers; Gaussian jitter matches real player click distributions.

Does Jinx's passive change orbwalker settings?

Yes. During Get Excited! (6 seconds, 175% attack speed), drop attack-move delay to 25-30 ms and scale humanizer jitter to 60% of baseline. Real players mash faster under passive, so the script needs to speed up without looking robotic.