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VEKTOR ❄️

VEKTOR ❄️

A Roblox experience owned by RtsPing.

ShooterENFPSTeam DeathmatchKing of the Hill

Description (written by the developer; not a statement by this register)

⚡ Welcome to Vektor! ⚡ Jump into a fast-paced, team-based FPS built for players who love skillful aim and smooth, competitive gameplay. 💥 Battle in Team Deathmatch and King of the Hill across vibrant, blocky arenas. 🎯 Every shot feels precise and satisfying — a perfect mix of cartoony fun and competitive precision. 🔫 Unlock and master a growing arsenal of unique weapons. 🌀 Easy to learn, hard to master — made for clutch plays and clean aim. 🎮 Play seamlessly on PC, mobile, and console with full cross-device support. 💡 Controller Tip: You can navigate menus using Roblox’s built-in virtual cursor in your settings for smoother control. Fun, competitive, and built for those who just love to shoot.

Last updated by the developer 29 Dec 2025, 01:40 UTC.

0
playing (measured 14 Aug 2026, 23:21 UTC)
2,635
lifetime visits
79%
liked (11 👍 / 3 👎)
143
favourites (54.3 per 1k visits)
2 October 2025
created (per Roblox)

Play on Roblox →

Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
14 Aug 2026, 23:210first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Launch Pack
550 R$
VIP
499 R$

Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.

Badge funnel

Welcome to Vektor! · welcome741 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.