666 — CS2 Stats

76561199577701314[U:1:1617435586]

609Tracked matches37%Win rate2025Tracked since
CSDB Rating4.8 DevelopingPassive Rifler
Premier CS Rating15,288Purple band · top ~27.3% of ranked players (population est.)
CSDB Leaderboard#26429 of 44229 tracked
FaceitLevel 6 · 1,099 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GG666FACEITLevel 6 · 1,099 ELOSTANDINGTop 54.0% of rankedPREMIER15,288 · Purple bandcsdb.gg/stats

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Performance scores

Aim69
Positioning37
Utility53

0–100 skill scores via Leetify.

Recent form

COLD38584Last 10038%Win rateWLWLLLLLLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression4.1
Utility5.3
Positioning3.7
Opening Duels0.9
Clutch5.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 42% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.9
Positioning3.7
Utility5.3
Mechanics6.7
Opening Duels1.5
Win Impact0.6

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time604ms−49ms
first ⅓ avg 653ms → last ⅓ avg 604ms
Headshot accuracy20.1%+1.5%
first ⅓ avg 18.6% → last ⅓ avg 20.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — nuke 13–1
130Biggest win — nuke
4Longest win streak
54In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 6anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageD31102132%-0.01
ancientA2011955%-0.00
nukeD1951426%-0.01
anubisD102820%-0.01
infernoD93633%-0.01
cacheS64267%-0.01
dust2A53260%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

291Matches
53%Win rate
1.00Avg K/D
76.8ADR
43%Headshot %

Clutches & streaks

45%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage12254%0.9914.3
Nuke5342%0.9915.5
Ancient5159%1.0615.4
Anubis1953%0.8914.1
Dust21747%0.9815.7
Inferno1173%1.1816.9
Train1060%0.8815.5
Overpass743%1.0214.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.6%Headshot accuracy
33.3%Accuracy (enemy spotted)
38.2%Spray accuracy
80.3%Counter-strafing
10.0°Preaim
611msReaction time
24.6%T opening success
42.3%CT opening success
0.59Enemies flashed / flash
7.0%Flash assists
12.93HE damage / grenade
10.78Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 24.6327% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0816%29 Aug
nuke3–13-0.0518%27 Aug
ancient13–50.0623%24 Aug
anubis11–13-0.0021%24 Aug
ancient5–13-0.0033%24 Aug
mirage13–160.0120%24 Aug
mirage10–13-0.0023%23 Aug
nuke6–13-0.0629%23 Aug
nuke11–130.0126%22 Aug
nuke3–7-0.0011%22 Aug
ancient13–110.0326%22 Aug
ancient13–30.0318%22 Aug
dust213–60.0224%22 Aug
inferno13–30.109%21 Aug
mirage6–130.0228%20 Aug
ancient7–130.0228%20 Aug
nuke13–8-0.0336%19 Aug
mirage13–50.0120%19 Aug
ancient1–13-0.100%18 Aug
mirage2–13-0.1019%17 Aug
mirage7–13-0.0611%17 Aug
mirage6–130.0015%17 Aug
nuke13–9-0.0114%16 Aug
mirage13–16-0.0615%16 Aug
nuke13–10.1312%16 Aug
mirage2–13-0.1023%16 Aug
dust210–13-0.0723%16 Aug
anubis6–13-0.0216%16 Aug
nuke5–13-0.0534%15 Aug
cache13–30.089%14 Aug
cache13–8-0.0421%14 Aug
mirage7–130.0124%14 Aug
anubis10–13-0.0115%14 Aug
ancient13–6-0.0312%14 Aug
mirage13–90.0416%14 Aug
cache13–6-0.038%14 Aug
nuke6–13-0.0419%14 Aug
ancient15–15-0.0112%13 Aug
inferno4–13-0.0116%11 Aug
ancient13–11-0.0115%11 Aug
inferno13–60.049%11 Aug
cache8–13-0.018%11 Aug
cache7–13-0.0713%11 Aug
mirage6–13-0.0820%10 Aug
nuke5–130.0117%10 Aug
anubis5–13-0.0523%10 Aug
ancient13–100.0312%10 Aug
mirage13–60.0319%10 Aug
ancient9–130.0029%8 Aug
inferno5–130.0219%8 Aug
nuke4–13-0.0814%8 Aug
mirage6–13-0.0616%7 Aug
mirage3–13-0.0415%6 Aug
ancient2–13-0.0220%6 Aug
mirage13–70.0119%6 Aug
nuke6–13-0.0519%6 Aug
ancient3–130.0924%6 Aug
mirage13–5-0.0712%6 Aug
nuke15–15-0.0218%6 Aug
mirage10–13-0.0112%5 Aug
cache13–5-0.0218%5 Aug
mirage5–13-0.0712%3 Aug
anubis9–13-0.0120%3 Aug
ancient13–10-0.0019%3 Aug
ancient4–13-0.1021%30 Jul
anubis13–40.0813%29 Jul
mirage13–80.0114%29 Jul
anubis15–15-0.0418%29 Jul
ancient13–7-0.0019%26 Jul
mirage10–13-0.0613%23 Jul
inferno15–15-0.0413%17 Jul
ancient8–130.0319%16 Jul
mirage6–130.0625%13 Jul
nuke13–100.0616%13 Jul
mirage16–140.0215%13 Jul
mirage16–130.110%8 Jul
mirage10–13-0.0213%5 Jul
nuke6–130.0217%5 Jul
mirage8–130.0119%5 Jul
ancient16–140.0011%5 Jul
dust213–10-0.0324%2 Jul
nuke13–00.0417%18 May
mirage13–60.0816%18 May
anubis8–13-0.0513%2 Mar
anubis13–8-0.0111%24 Feb
inferno5–9-0.0614%23 Feb
ancient13–9-0.038%21 Feb
mirage7–13-0.0725%20 Feb
anubis11–13-0.0213%19 Feb
dust26–13-0.0622%18 Feb
nuke5–13-0.0418%18 Feb
mirage5–13-0.0325%18 Feb
nuke14–16-0.0329%18 Feb
mirage10–130.0334%18 Feb
inferno13–80.0025%18 Feb
dust213–0-0.0617%18 Feb
mirage13–7-0.0123%17 Feb
inferno9–13-0.0729%17 Feb
inferno4–13-0.0421%16 Feb
nuke3–13-0.0928%13 Feb

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →