About

Faceit Scope analyzes your FACEIT performance using advanced algorithms and artificial intelligence. A solo project developed with passion.

The project

Faceit Scope allows for in-depth performance analysis.

Entirely developed by XTBMZ, this project exclusively uses the official FACEIT API to retrieve all data transparently and legally.

Everything comes directly from FACEIT servers and is analyzed by our proprietary algorithms.

XTBMZ
Developer
100%
FACEIT API

How it works

Sophisticated algorithms analyze your FACEIT data to give you precise insights

Player Impact Score (PIS)

Combat (35%)

K/D, ADR and headshot rate with logarithmic normalization

kdScore = min((kd - 0.5) / 1.5, 1)
adrScore = min((adr - 60) / 80, 1)
hsScore = min((hs - 30) / 30, 1)

Game Sense (25%)

Entry, clutch and sniper abilities with advanced combinations

entryEfficiency = entryRate × entrySuccess
clutchScore = (1v1 × 2) + 1v2
sniperScore = sniperRate × 5

Utility (15%)

Support and utility usage with weighted efficiency

utilityEfficiency = flashSuccess × flashesPerRound
+ utilitySuccess × 0.5

Consistency + Exp (25%)

Win rate, streaks and data reliability

consistency = (winRate/100) × log10(matches+1)
experience = min(log10(matches+1)/3, 1)
Crucial level coefficient:
levelCoeff = 0.5 + (level/10)^1.5 × 1.0 + (elo-800)/2400 × 1.0
A Level 10 with 1.0 K/D will be rated higher than a Level 2 with 1.5 K/D because they play against stronger opponents.

Intelligent role assignment

Role score calculations

Entry Fragger
score = (entryRate × 200) + (entrySuccess × 100) + (offensivePotential × 15)
Specific criteria: Entry Rate > 25% AND Entry Success > 55%
Support
score = (flashesPerRound × 150) + (flashSuccess × 100) + (utilitySuccess × 50)
Specific criteria: Flashes > 0.4/round AND Flash Success > 50%
AWPer
score = (sniperRate × 500) + (adr × 0.3) + ((kd-1) × 30)
Specific criteria: Sniper Rate > 15%

Assignment priority

1
AWPer (if sniper > 15%)
2
Entry (if entry > 25% + success > 55%)
3
Support (if flashes > 0.4 + success > 50%)
4
Clutcher (if 1v1 > 40%)
5
Fragger (if K/D > 1.3 + ADR > 85)
6
Lurker (default if no criteria)

Map analysis algorithm

1

Logarithmic normalization

winRate: (winRate - 30) / 40
kd: log10(kd × 10) / log10(20)
adr: (adr - 50) / 100
hs: (hs - 25) / 35
2

Advanced weighting

Win Rate: 40%
K/D: 25%
ADR: 20%
Headshots: 10%
Consistency: 5%
3

Reliability factor

reliability = min(log10(matches + 1) / log10(11), 1)

finalScore = compositeScore × reliability

Match predictions

Team strength

Weighted average score
Average of 5 PIS scores + role balance bonus
teamStrength = avgPIS + (roleBalance × 2)
Role balance
A team with Entry + Support + AWPer + Clutcher + Fragger will have a significant bonus versus 5 fraggers.

Probability calculations

Match winner
probabilité = 50 + (différence_force × 8)
The greater the strength difference, the more confident the prediction
Predicted MVP
The player with the highest PIS score among the 10 participants
Confidence level
Based on strength difference: Very High (>3), High (>2), Moderate (>1), Low (<1)

Contact

A solo project developed with passion. Feel free to contact me for feedback or suggestions.

XTBMZ

Disclaimer: Faceit Scope is not affiliated with FACEIT Ltd. This project uses the public FACEIT API in compliance with their terms of service. Prediction algorithms are based on statistical analysis and do not guarantee match results.