FRAG WATCHCS2 PLAYER INTELLIGENCE
02 / BEYOND THE STATS

More Ways to Explore.

Your personal analysis starts with your FACEIT nickname. Explore real-data tools, build your player identity and see what we are validating next.

CS2 PRO SETTINGS

Pro Crosshairs ↗

Browse the top 30 CS2 teams, preview verified crosshairs and copy supported import codes.

CROSSHAIR DIRECTORY AVAILABLE PLAYSTYLE MATCHING

Pro Twin ↗

Enter your FACEIT nickname and get your closest match from 12 real statistical reference profiles.

MATCHING BETA AVAILABLE YOUR COMPETITIVE IDENTITY

Player Cards ↗

Create a 1080 × 1350 player card with eight real FACEIT statistics and three visual styles.

CARD CREATOR AVAILABLE FACEIT HEAD TO HEAD

Player Comparison ↗

Compare two real FACEIT profiles side by side, with actual available performance metrics.

LIVE COMPARISON AVAILABLE
03 / FRAG WATCH RATING SYSTEM

Every Score Tells a Story.

Great performances aren't defined by a single number. FRAG WATCH looks at two different sides of your game: what you contribute and how reliably you deliver.

ONE PLAYER · TWO LENSES
01Impact Rating
02Consistency Rating
Different signals. Better context.
EXAMPLE PLAYER · DEMONSTRATION ONLY 0–100 DISPLAY SCALE · NOT FACEIT ELO
01 / CONTRIBUTIONSTRONG

Impact Rating

How much do you contribute?

71/100

An estimate of performance contribution using statistical signals currently available to the rating model.

PERFORMANCE SIGNALS
Damage outputKill / death efficiencyAvailable stats
THE TAKEAWAYStrong output doesn't automatically mean steady results from match to match.
02 / RELIABILITYMODERATE

Consistency Rating

How often can you repeat it?

57/100

An estimate of stability across the completed matches included in the current available sample.

PERFORMANCE SIGNALS
Match variationRepeatabilitySample coverage
THE TAKEAWAYModerate stability suggests your level of performance may change between games.
Impact and Consistency tell different stories.

In this example, high contribution and more variable performance can exist together. Neither score replaces the other.

ANALYZE YOUR GAME ↗
HOW TO INTERPRET YOUR SCORE

Read Beyond the Number.

These ranges are descriptive guides for the 0–100 scale, not official FACEIT ranks or validated skill categories.

Low0–39
Developing40–54
Moderate55–69
Strong70–84
Excellent85–100

The displayed 71 Impact and 57 Consistency above are illustrative values, not scores generated for an actual player.

01 / THE METHOD

Numbers With Context.

FRAG WATCH uses the statistics returned for a player, while considering how many completed matches are available.

  • Impact highlights contribution-related statistics.
  • Consistency focuses on repeatability and variation.
  • Small samples limit how confidently a score should be read.
02 / THE LIMITS

Not Everything Is in the Data.

Without verified demo or event-level analysis, FRAG WATCH cannot reliably judge all the decisions made in a match.

  • Positioning and decision-making
  • Communication and teamwork
  • Utility value and tactical context
BEHIND THE NUMBERS / SCORING METHODOLOGY

How Does Scoring Work?

From available FACEIT match statistics to two separate FRAG WATCH estimates. Here's what goes into the score — and what doesn't.

TRANSPARENT BY DESIGN
01 / INPUT

Collect Available Stats

We use the match and player statistics returned by the connected FACEIT data source. Missing fields stay missing.

DATA COVERAGE MATTERS
02 / IMPACT

Estimate Contribution

The current API combines capped ADR, K/D and K/R indicators with provisional weights. Missing signals are excluded, not guessed.

PERFORMANCE SIGNALS
03 / CONSISTENCY

Estimate Repeatability

The current API measures variation in match kills, not overall play quality. It needs at least three valid kill records.

MATCH-TO-MATCH STABILITY
04 / OUTPUT

Read Two Scores

Both estimates are displayed on a 0–100 scale. They provide context, not an official FACEIT rank or a complete skill assessment.

TWO DISTINCT RATINGS
LIVE BACKEND / v0.9 · IMPACT

Contribution Has Three Inputs.

40ADR SIGNAL
30K/D SIGNAL
20K/R SIGNAL

Each stat is normalized against a display reference, capped at 100, then weighted. Available weights are re-normalized to calculate the score. The 40:30:20 proportions are prototype weights, not validated importance rankings.

LIVE BACKEND / v0.9 · CONSISTENCY

Stable Kills. Higher Consistency.

100 ÷ (1 + 12 × variation²)

“Variation” is the standard deviation of kills per match divided by the average kills per match. At least three valid match-kill values are needed. It does not measure utility, teamplay or tactical consistency.

Methodology note: The deployed v0.9 formula is documented below but remains an unvalidated prototype using up to 30 match-stat records. The API now retrieves up to 30 real match-stat entries, but the rating formula and confidence interpretation still require independent validation. The example numbers above are illustrative.

CHECK YOUR PROFILE ↗
HOW ARE REAL FRAG WATCH RATINGS CALCULATED?

The currently deployed FRAG WATCH API (v0.9) reads up to 30 recent CS2 match-stat entries. Impact is a rounded weighted average of capped metric scores: ADR / 110 × 100 with weight 0.40; K/D / 1.8 × 100 with weight 0.30; and K/R / 1.1 × 100 with weight 0.20. Each metric score is capped at 100, and missing components are omitted with remaining weights re-normalized.

Consistency is based solely on the variability of kills per match: round(100 / (1 + 12 × (standard deviation of match kills / average match kills)²)). It is unavailable when fewer than 3 valid kill records exist or the average is zero. Neither formula has been independently validated as a complete measure of player skill.

Unprovided statistics are not replaced with invented numbers. FRAG WATCH ratings are independent of FACEIT Elo, and a rating alone is not a full tactical or coaching assessment.

DEMONSTRATION ONLY · IMPACT 71 / CONSISTENCY 57 ARE ILLUSTRATIVE · PROTOTYPE FORMULAS DOCUMENTED · UP TO 30 MATCHES · RATING VALIDATION PENDING