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1Greco — CS2 Stats

76561198018533032[U:1:58267304]

1,982Tracked matches60%Win rate2020Tracked since
CSDB Rating5.1 Developing
Premier CS Rating19,583Purple band · top ~10.2% of ranked players (population est.)
CSDB Leaderboard#8455 of 18048 tracked
FaceitLevel 10 · 1,782 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GG1GrecoFACEITLevel 10 · 1,782 ELOSTANDINGTop 12.4% of rankedPREMIER19,583 · Purple bandcsdb.gg/stats

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Performance scores

Aim56
Positioning49
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLWLWWLWWLW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.6
Aggression6.4
Utility5.1
Positioning4.9
Opening Duels2.3
Clutch3.4

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 86% playstyle similarity

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

Where you differ: lower utility contribution; lower aim 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

Reaction time. 569ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.6
Positioning4.9
Utility5.1
Mechanics4.4
Opening Duels2.3
Win Impact8.3

Composite 5.1/10 (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 -0.00 → last ⅓ avg -0.01
Reaction time572ms−22ms
first ⅓ avg 593ms → last ⅓ avg 572ms
Headshot accuracy15.4%−2.9%
first ⅓ avg 18.3% → last ⅓ avg 15.4%

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

0.11Best rating — mirage 13–4
13–1Biggest win — nuke
5Longest win streak
7–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 58% over 12infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2710–1737%-0.00
ancientB2210–1245%-0.01
dust2B2110–1148%-0.01
anubisA127–558%0.01
infernoD92–722%-0.02
nuke—22–0100%0.07
cache_b—22–0100%0.03
overpass—22–0100%0.01
vertigo—22–0100%0.07
train—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

585Matches
52%Win rate
1.18Avg K/D
82.9ADR
42%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage15047%1.1216.4
Ancient10657%1.1616.6
Dust27544%1.0115.6
Anubis6459%1.1916.9
Inferno4161%1.2018.4
Nuke3348%1.0816.8
Vertigo3342%1.0115.8
Overpass1070%1.1114.2

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.

15.7%Headshot accuracy
32.4%Accuracy (enemy spotted)
33.4%Spray accuracy
69.7%Counter-strafing
9.3°Preaim
569msReaction time
38.2%T opening success
40.2%CT opening success
0.74Enemies flashed / flash
7.5%Flash assists
8.58HE damage / grenade
3.79Flashes / 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 3.786 — 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 38.2121% — below the 40% mark we flag

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.0310%22 Aug →
ancient13–80.0211%15 Aug →
inferno20–22-0.0319%2 Aug →
anubis13–10-0.0819%27 Jul →
anubis13–100.0417%26 Jul →
mirage4–13-0.0115%25 Jul →
ancient16–14-0.0214%20 Jul →
ancient13–100.0113%17 Jul →
ancient11–13-0.053%12 Jul →
dust213–11-0.0713%30 Jun →
ancient10–13-0.0612%30 Jun →
nuke13–10.0616%25 Jun →
ancient13–7-0.0311%22 Jun →
dust210–13-0.0326%8 Jun →
ancient13–60.0412%7 Jun →
dust23–13-0.0122%24 May →
anubis11–13-0.0417%6 May →
mirage13–11-0.0315%28 Apr →
mirage13–100.0019%22 Apr →
dust213–70.0118%19 Apr →
ancient13–6-0.0118%19 Apr →
anubis13–40.088%19 Apr →
mirage13–160.0029%18 Apr →
ancient11–13-0.029%18 Apr →
mirage13–40.0620%18 Apr →
cache_b13–50.0514%10 Apr →
mirage7–130.0120%9 Apr →
mirage13–11-0.0112%9 Apr →
overpass13–50.0219%9 Apr →
inferno17–19-0.0116%7 Apr →
inferno16–19-0.0311%6 Apr →
mirage8–130.0321%6 Apr →
mirage13–10-0.0711%6 Apr →
inferno13–20.0432%6 Apr →
mirage13–40.1122%6 Apr →
dust213–11-0.0210%6 Apr →
inferno11–13-0.0119%6 Apr →
train8–13-0.0212%5 Apr →
dust210–130.0220%5 Apr →
mirage13–90.0217%5 Apr →
dust213–100.0130%5 Apr →
mirage11–130.027%5 Apr →
anubis13–60.0417%5 Apr →
ancient6–130.1022%1 Apr →
anubis1–70.006%30 Mar →
dust23–13-0.1013%30 Mar →
mirage13–10-0.0512%29 Mar →
mirage15–15-0.0021%28 Mar →
dust213–40.000%25 Mar →
dust27–13-0.0616%24 Mar →
anubis13–100.049%24 Mar →
dust216–130.0420%18 Mar →
inferno7–13-0.0114%17 Mar →
vertigo13–100.0319%16 Mar →
mirage8–13-0.0311%16 Mar →
cache_b13–110.0117%16 Mar →
ancient21–25-0.0111%15 Mar →
mirage16–19-0.098%15 Mar →
mirage4–130.0530%15 Mar →
anubis4–13-0.0210%15 Mar →
inferno7–13-0.0613%15 Mar →
ancient10–130.0117%15 Mar →
mirage10–13-0.0221%15 Mar →
dust29–13-0.0822%15 Mar →
mirage13–60.0211%15 Mar →
vertigo13–90.1118%15 Mar →
dust26–13-0.0116%14 Mar →
dust213–3-0.018%14 Mar →
dust213–90.0720%14 Mar →
mirage7–13-0.0514%14 Mar →
ancient9–13-0.0517%14 Mar →
ancient13–60.0216%12 Mar →
nuke13–60.0817%9 Mar →
dust212–16-0.0411%8 Mar →
ancient7–13-0.0423%8 Mar →
dust27–13-0.0116%8 Mar →
dust213–70.1123%8 Mar →
dust213–20.1131%8 Mar →
inferno3–13-0.0724%8 Mar →
dust211–13-0.0323%8 Mar →
ancient13–10-0.1017%8 Mar →
mirage8–13-0.0718%8 Mar →
ancient9–0-0.0512%8 Mar →
mirage13–5-0.0319%7 Mar →
ancient13–50.0415%7 Mar →
ancient8–130.0417%7 Mar →
anubis8–130.0022%7 Mar →
mirage7–130.0120%7 Mar →
anubis13–90.1113%7 Mar →
ancient4–13-0.0310%6 Mar →
inferno13–110.0232%6 Mar →
mirage5–130.0333%6 Mar →
mirage6–130.0419%6 Mar →
anubis13–9-0.0425%5 Mar →
anubis3–6-0.035%4 Mar →
dust210–13-0.037%3 Mar →
overpass13–80.0016%2 Mar →
mirage8–130.0132%2 Mar →
mirage5–13-0.0217%2 Mar →
ancient8–13-0.0213%28 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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