PreFire

PreFire Practice für CS2 Gameserver ist das perfekte Tool, um Prefire auf competitive Maps zu trainieren. Mit PreFire Addon könnt ihr die Trainingsszenarien mit !prefire auf den aktuell verfügbaren Maps starten, wie im Chat-Menü ausgegeben.

Ein Open-Source CounterStrikeSharp-basiertes serverseitiges Practice-Plugin für CS2. Es bietet mehrere Prefire-Trainings auf competitive Mapsn und unterstützt Multiplayer-Übungen gleichzeitig.

Wir installieren dieses Addon auf Wunsch jederzeit für DIch, alternativ findest du den Link zu den Installationsdateien am Ende des Artikels

AKTUELLER MAPPOOL:

✓ de_ancient

✓ de_anubis

✓ de_dust2

✓ de_inferno

✓ de_mirage

✓ de_overpass

Das Addon ist ein Open-Source-Projekt und befindet sich derzeit noch in der Entwicklung. Zusätzliche Maps und Wege werden regelmäßig aktualisiert. PreFire benötgt CSS.

Befehle

• !prefire (Startet Prefire mode und öffnet das Menü)
• !1 - 4 folge den Menüanweisungen
  

PreFire ist kompatibel mit unseren CKRAS BOT

Wichtig: PreFire befindet sich noch in der Entwicklung. Wenn Ihr Fragen oder Anregungen haben, können Ihr uns jederzeit kontaktieren.

Customize Workshop Maps

Advanced: For custom maps you can insert these commands

pos_x pos_y pos_z ang_x ang_y ang_z The first 3 floating numbers are the position and the other 3 are the rotation.

pos_x pos_y pos_z ang_x ang_y ang_z is_crouching The rest lines describe how to place bots. The first 3 numbers is position, following 3 numbers of the rotation. The 7th value is either True of False indicating whether the bot is crouching.

python3 calculate_height.py [PATH TO YOUR FILE] The positions and facing rotations can be retrived from in-game get_pos command. But please notice that, the height values used in profiles should be the values returned by get_pos minus 65. I made a python script that does this calculation for you. You can stack the strings retured by get_pos and put them in a txt file, and pass the file to the python script as described below and the script will automatically print out the formatted bot positions.

Verfügbare Prefire Trainings

aktuelle Competive Maps Trainings:

• de_inferno
  • A short to A site
  • A long to A site
  • A apartments to A site
  • Banana to B site
  • Retake B from CT spawn
• de_ancient
  • B ramp to B site
  • B house to B site
  • Mid to A site
  • A main to A site
  • Retake A from CT spawn
• de_mirage
  • Attack A site from A ramp (to CT spawn)
  • Attack B site from B apartments
  • Attack A site from A palace (to jungle)
  • Attack B site from mid
  • Attack A site from underpass
  • Retake B site from CT spawn
• de_overpass
  • Attack B site from B long
  • Attack B site from B short
  • Clear underpass and go upwards to mid
  • Clear underpass and go towards B short
  • Attack A site from A long
  • Attack A site from A short (mid)
• de_dust2
  • Attack A site from A long
  • Attack A site from A short
• de_anubis
  • Attack B site from B main
  • Attack B site from mid (B connector)
  • Attack B site from water
  • Attack A site from mid (A connector)
  • Attack A site from A main

Settings

Now the plugin supports loading default settings of difficulty and training mode from a json file. You can rename default_cfg.json.example to default_cfg.json and modify the value as you like.

Erkärung der Werte:

   Difficulty
       0: No healing.
       1: Init hp 500 with no healing.
       2: +25hp for each kill.
       3: +100hp for each kill.
       4: +500hp for each kill.
   Training Mode
       0: Random mode, randomly spawn some targets.
       1: Full mode, all targets.

Entwicklung

TODO:

1. Create prefire profiles for all maps.
2. Draw guiding lines on the floor.
3. Improve bot logic.
4. Improve localization support (The supporting framework is done. Submitting translations is warmly welcomed.).
5. Reroute saperate logs into one gathered place for better debug experience.

Source: https://github.com/lengran/OpenPrefirePrac
Download: https://github.com/lengran/OpenPrefirePrac/releases
CS2 Server: https://www.ckras.com/

(PreFire needs CounterStrikeSharp)