𝓭𝓻𝓸𝓩𝓔𝓦 ⭕⃤ — CS2 Stats

76561198140767802[U:1:180502074]✓ No bans

821Tracked matches55%Win rate2020Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating19,999Purple band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#15627 of 39145 tracked
FaceitLevel 7 · 1,352 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GG𝓭𝓻𝓸𝓩𝓔𝓦 ⭕⃤FACEITLevel 7 · 1,352 ELOSTANDINGTop 42.3% of rankedPREMIER19,999 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning50
Utility38

0–100 skill scores via Leetify.

Recent form

HOT46504Last 10046%Win rateWLWWWWLLWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim6.6
Aggression6.5
Utility3.8
Positioning5.0
Opening Duels2.3
Clutch3.6

Strong CT-side openerLimited utility dependence

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

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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

T-side openings. Opening success drops from 53% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 604ms 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

Aim6.6
Positioning5.0
Utility3.8
Mechanics5.7
Opening Duels2.9
Win Impact6.7

Composite 5.4/10 (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 rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time610ms−32ms
first ⅓ avg 642ms → last ⅓ avg 610ms
Headshot accuracy23.5%−1.4%
first ⅓ avg 24.8% → last ⅓ avg 23.5%

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

0.10Best rating — ancient 13–5
131Biggest win — mirage
6Longest win streak
87In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 60% over 10ancientWeakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
dust2C34151944%-0.00
ancientC2391439%-0.01
infernoB178947%-0.01
mirageA106460%0.01
cacheB105550%0.02
anubisA53260%0.01
nuke1010%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

601Matches
49%Win rate
0.99Avg K/D
78.2ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust211759%0.9715.3
Inferno6452%1.0616.8
Mirage6260%1.0015.2
Ancient5737%1.0116.6
Anubis2055%1.1317.6
Overpass933%0.9620.2
Vertigo825%0.8514.0
Nuke757%1.0912.6

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.

22.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
34.9%Spray accuracy
75.6%Counter-strafing
11.0°Preaim
604msReaction time
25.0%T opening success
53.2%CT opening success
0.50Enemies flashed / flash
16.5%Flash assists
6.05HE damage / grenade
1.68Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.6832 — below the 4 mark we flag

    Grenade Lineups
  2. 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 25.0401% — below the 40% mark we flag

Spend your practice time on Ancient

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

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–90.0129%29 Aug
anubis9–13-0.0216%29 Aug
ancient13–30.0527%23 Aug
inferno13–6-0.0131%23 Aug
dust213–50.0213%23 Aug
anubis13–50.0124%23 Aug
cache4–13-0.0217%23 Aug
dust26–130.0037%23 Aug
mirage13–10.0033%22 Aug
ancient13–50.0329%22 Aug
inferno8–13-0.0716%22 Aug
mirage13–90.0418%22 Aug
dust24–10.1033%22 Aug
cache13–60.0620%20 Aug
dust24–00.0438%20 Aug
nuke13–16-0.0021%20 Aug
ancient13–50.1025%19 Aug
ancient7–13-0.1018%19 Aug
ancient13–50.0928%19 Aug
dust213–9-0.0216%18 Aug
ancient13–50.0423%18 Aug
dust27–13-0.0621%16 Aug
ancient8–130.0117%16 Aug
ancient11–13-0.0420%16 Aug
ancient13–16-0.0121%16 Aug
dust213–50.0423%16 Aug
dust29–13-0.0127%16 Aug
dust27–13-0.0129%16 Aug
cache15–150.0723%15 Aug
inferno8–13-0.0421%15 Aug
cache14–160.0523%15 Aug
dust213–5-0.0020%15 Aug
cache13–11-0.0318%15 Aug
ancient3–13-0.0619%15 Aug
dust213–100.0024%15 Aug
inferno13–100.0128%15 Aug
dust213–3-0.0630%15 Aug
dust213–70.0418%15 Aug
cache13–40.0515%14 Aug
dust213–11-0.0123%9 Aug
mirage10–13-0.0527%9 Aug
ancient4–13-0.0718%9 Aug
mirage11–130.0218%9 Aug
dust28–130.0220%9 Aug
inferno5–13-0.0527%9 Aug
anubis6–130.0033%9 Aug
inferno13–16-0.0126%9 Aug
dust212–120.0321%9 Aug
inferno13–160.0214%8 Aug
ancient13–11-0.0424%8 Aug
inferno10–13-0.0310%8 Aug
dust210–130.0620%8 Aug
dust24–13-0.0121%8 Aug
inferno13–20.0612%8 Aug
dust25–13-0.0119%8 Aug
dust28–13-0.0621%8 Aug
dust213–11-0.0113%8 Aug
dust28–13-0.0125%8 Aug
dust213–110.0625%7 Aug
dust213–160.0118%2 Aug
inferno8–13-0.0431%2 Aug
ancient13–9-0.0515%2 Aug
cache13–100.0219%2 Aug
ancient13–60.0322%2 Aug
inferno13–90.0421%2 Aug
ancient11–13-0.0719%2 Aug
inferno13–90.0019%2 Aug
dust213–80.0019%1 Aug
ancient10–13-0.0129%1 Aug
inferno13–90.0323%1 Aug
cache13–160.0219%1 Aug
dust24–13-0.1116%26 Jul
inferno4–13-0.0632%26 Jul
mirage13–20.0216%26 Jul
dust213–9-0.0424%26 Jul
inferno13–110.0331%26 Jul
dust213–10.0726%26 Jul
cache5–13-0.0921%25 Jul
ancient15–15-0.0117%25 Jul
ancient13–60.0122%25 Jul
anubis16–140.0414%22 Jul
mirage11–13-0.0135%22 Jul
mirage13–6-0.0730%21 Jul
dust212–12-0.0136%21 Jul
anubis13–40.0430%19 Jul
ancient9–13-0.0121%19 Jul
dust25–13-0.1224%19 Jul
inferno13–110.0319%19 Jul
ancient11–130.0114%19 Jul
dust23–13-0.0331%19 Jul
mirage13–30.0411%19 Jul
ancient6–13-0.0218%19 Jul
inferno11–13-0.0412%19 Jul
mirage8–130.0726%18 Jul
ancient7–130.0338%18 Jul
ancient4–8-0.0538%18 Jul
dust210–13-0.0132%18 Jul
dust22–13-0.0336%18 Jul
dust29–130.0637%12 Jul
cache13–80.0724%12 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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