Analyze your FACEIT performance, understand your strengths, and discover what makes your CS2 game unique.
Your personal analysis starts with your FACEIT nickname. Explore real-data tools, build your player identity and see what we are validating next.
Enter your FACEIT nickname and get your closest match from 12 real statistical reference profiles.
MATCHING BETA AVAILABLE YOUR COMPETITIVE IDENTITYCreate a 1080 × 1350 player card with eight real FACEIT statistics and three visual styles.
CARD CREATOR AVAILABLE FACEIT HEAD TO HEADCompare two real FACEIT profiles side by side, with actual available performance metrics.
LIVE COMPARISON AVAILABLEGreat 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.
How much do you contribute?
An estimate of performance contribution using statistical signals currently available to the rating model.
PERFORMANCE SIGNALSHow often can you repeat it?
An estimate of stability across the completed matches included in the current available sample.
PERFORMANCE SIGNALSIn this example, high contribution and more variable performance can exist together. Neither score replaces the other.
These ranges are descriptive guides for the 0–100 scale, not official FACEIT ranks or validated skill categories.
The displayed 71 Impact and 57 Consistency above are illustrative values, not scores generated for an actual player.
FRAG WATCH uses the statistics returned for a player, while considering how many completed matches are available.
Without verified demo or event-level analysis, FRAG WATCH cannot reliably judge all the decisions made in a match.
From available FACEIT match statistics to two separate FRAG WATCH estimates. Here's what goes into the score — and what doesn't.
We use the match and player statistics returned by the connected FACEIT data source. Missing fields stay missing.
DATA COVERAGE MATTERSThe current API combines capped ADR, K/D and K/R indicators with provisional weights. Missing signals are excluded, not guessed.
PERFORMANCE SIGNALSThe current API measures variation in match kills, not overall play quality. It needs at least three valid kill records.
MATCH-TO-MATCH STABILITYBoth estimates are displayed on a 0–100 scale. They provide context, not an official FACEIT rank or a complete skill assessment.
TWO DISTINCT RATINGSEach 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.
“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 ↗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.
