๊ง๐Ÿ…พโ„•๐”ผ๊ง‚

๊ง๐Ÿ…พโ„•๐”ผ๊ง‚ โ€” CS2 Stats

DE76561197989280499[U:1:29014771]Steam profile โ†—โœ“ No bans

1,568Tracked matches27%Win rate2021Tracked since
5,657Hours in CS
CSDB Rating4.6 DevelopingSupport
Premier CS Rating3,579Grey band ยท top ~84.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 3,579 -522 24 Sept โ€“ 10 Nov ยท 32 days played
2,6975,196peak 5,19624 Sept10 Nov
5,905Peak Premier in tracked matches
32Days played since 2026-09-24

Premier CS Rating

  • 1,617 below peak (5,196)
  • -178 over 30 days ยท steady
  • Next: Light Blue band at 5,000 โ€” 1,421 to go
  • Reached: Light Blue band

Premier comes from this profileโ€™s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here โ€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate38.0%38.2%39.9%2.0% short
Shot accuracy17.2%3.6%7.0%above
Kill/death ratio1.070.830.92above
Match win rate39.3%40.2%42.3%2.9% short

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Light Blue band median in relative terms โ€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG๊ง๐Ÿ…พโ„•๐”ผ๊ง‚PREMIER3,579 ยท Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere โ€” it is generated in your browser when you click.

Performance scores

Aim55
Positioning50
Utility65

0โ€“100 skill scores via Leetify.

Recent form

STEADY38โ€“58โ€“4Last 10038%Win rateLWLWWLLWLW

Last 10 vs previous 10: +40pp win rate ยท +0.01 avg rating ยท +3.6pp headshot accuracy ยท +123ms reaction

Win rate up 40pp across the last 10 against the 10 before โ€” more than a 10-match window's normal noise (ยฑ20pp).

Last 5 ยท 10 ยท 20 matches

Last 5

  • 3โ€“2 ยท 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 821ms

Last 10

  • 5โ€“5 ยท 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 824ms

Last 20

  • 6โ€“14 ยท 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 763ms

Newest first, from the last 100 tracked matches. Each block is its own sample โ€” one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support โ€” Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim5.5
Utility6.5
Positioning5.0
Opening Duels0.8

Excellent counter-strafingStrong CT-side opener

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

What this cannot see yet: which weapons you use โ€” so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions โ€” it says how you play, not that you play at their level. Full comparison โ†’

Strengths & areas to improve

Areas to improve

Reaction time. 758ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

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

CSDB Rating breakdown

Aim5.5
Positioning5.0
Utility6.5
Mechanics8.5
Opening Duels2.3
Win Impact0.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (ร—0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02โˆ’0.01
first โ…“ avg -0.01 โ†’ last โ…“ avg -0.02
Reaction time754ms+5ms
first โ…“ avg 749ms โ†’ last โ…“ avg 754ms
Headshot accuracy13.9%+0.9%
first โ…“ avg 13.0% โ†’ last โ…“ avg 13.9%

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.

Personal bests

0.16Best match rating ยท 13โ€“3 ยท mirage, 21 Oct โ†’
42%Best headshot accuracy ยท 13โ€“3 ยท dust2, 16 Oct โ†’
484msFastest reaction time ยท 13โ€“7 ยท anubis, 19 Oct โ†’
13โ€“1Biggest win ยท mirage, 8 Nov โ†’

Across the last 100 tracked matches.

Highlights

6Longest win streak
6โ€“4In matches decided by โ‰ค2 rounds
15Overtime games

Map breakdown

cacheBest map ยท 55% over 11ancientWeakest map ยท 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB2211โ€“1150%-0.01
dust2D217โ€“1433%-0.02
mirageD195โ€“1426%-0.01
anubisB126โ€“650%-0.04
cacheA116โ€“555%-0.01
nukeD92โ€“722%-0.01
ancientD61โ€“517%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

277,298Lifetime kills
1.07K/D ยท Top 25% of Grey band
17,857Matches
39.3%Match win rate
38.0%Headshot %
17.2%Shot accuracy ยท Top 5% of Grey band
23,699MVPs
5,657Hours (in match)
11,739Bombs planted
2,143Bombs defused

Most-used weapons

AK-4752,886
Galil AR25,427
AWP24,036
FAMAS23,115
P9013,099
P2509,512
SG 5536,166

Lifetime map wins

27,447dust2
24,685nuke
14,306inferno
1,473train
1,463cbble
887vertigo
884office
512italy

Lifetime totals via Steam โ€” visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

14.4%Headshot accuracy
36.7%Accuracy (enemy spotted)
32.3%Spray accuracy
88.1%Counter-strafing
9.8ยฐPreaim
758msReaction time
37.5%T opening success
40.6%CT opening success
0.50Enemies flashed / flash
1.6%Flash assists
11.91HE damage / grenade
12.78Flashes / match

Recommended for you

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

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads โ€” usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3699% โ€” below the 15% mark we flag

    Aim Training โ†’
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one โ€” framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 757.5158ms โ€” above the 700ms mark we flag

    Aim Training โ†’
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4964 โ€” below the 0.5 mark we flag

    Grenade Lineups โ†’
Spend your practice time on Ancient

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

17% win rate across 6 tracked games โ€” your weakest map with enough games to be worth reading into.

Ancient callouts & strategy โ†’Ancient grenade lineups โ†’

Recent matches

MapScoreRatingHS%Date
ancient7โ€“13-0.0211%10 Nov โ†’
inferno13โ€“9-0.028%9 Nov โ†’
cache9โ€“13-0.0521%8 Nov โ†’
mirage13โ€“1-0.0216%8 Nov โ†’
inferno13โ€“80.0220%8 Nov โ†’
cache7โ€“130.0117%6 Nov โ†’
dust211โ€“13-0.0213%5 Nov โ†’
ancient13โ€“11-0.0232%5 Nov โ†’
cache8โ€“130.0216%5 Nov โ†’
inferno13โ€“10-0.0221%5 Nov โ†’
inferno16โ€“13-0.0524%4 Nov โ†’
inferno10โ€“13-0.0713%2 Nov โ†’
dust29โ€“130.0517%1 Nov โ†’
anubis8โ€“13-0.105%31 Oct โ†’
inferno13โ€“160.0220%27 Oct โ†’
ancient8โ€“13-0.0311%27 Oct โ†’
mirage8โ€“130.0416%27 Oct โ†’
dust29โ€“13-0.0411%27 Oct โ†’
dust22โ€“13-0.0311%27 Oct โ†’
inferno5โ€“13-0.0112%26 Oct โ†’
inferno9โ€“13-0.026%26 Oct โ†’
dust25โ€“13-0.0612%26 Oct โ†’
nuke5โ€“130.0111%26 Oct โ†’
inferno16โ€“14-0.049%26 Oct โ†’
mirage4โ€“130.0416%26 Oct โ†’
inferno10โ€“13-0.0010%25 Oct โ†’
mirage13โ€“2-0.065%25 Oct โ†’
nuke4โ€“13-0.0812%25 Oct โ†’
mirage7โ€“13-0.0514%24 Oct โ†’
anubis8โ€“130.0013%24 Oct โ†’
mirage14โ€“16-0.017%23 Oct โ†’
inferno6โ€“130.0313%23 Oct โ†’
mirage4โ€“13-0.0118%23 Oct โ†’
mirage11โ€“130.0424%23 Oct โ†’
cache16โ€“14-0.0210%22 Oct โ†’
mirage9โ€“13-0.0615%22 Oct โ†’
dust215โ€“15-0.0513%21 Oct โ†’
dust215โ€“15-0.0917%21 Oct โ†’
mirage6โ€“13-0.073%21 Oct โ†’
inferno13โ€“8-0.038%21 Oct โ†’
ancient7โ€“13-0.058%21 Oct โ†’
dust27โ€“13-0.0719%21 Oct โ†’
inferno13โ€“6-0.0018%21 Oct โ†’
mirage13โ€“30.167%21 Oct โ†’
dust29โ€“13-0.037%20 Oct โ†’
nuke3โ€“130.0120%20 Oct โ†’
nuke6โ€“13-0.0116%20 Oct โ†’
dust28โ€“13-0.018%20 Oct โ†’
anubis4โ€“13-0.0320%19 Oct โ†’
mirage13โ€“50.0112%19 Oct โ†’
anubis13โ€“70.0115%19 Oct โ†’
inferno10โ€“130.0111%17 Oct โ†’
mirage10โ€“13-0.0111%17 Oct โ†’
mirage1โ€“13-0.0914%17 Oct โ†’
nuke12โ€“16-0.0612%16 Oct โ†’
cache4โ€“13-0.029%16 Oct โ†’
mirage13โ€“1-0.0232%16 Oct โ†’
cache16โ€“130.0123%16 Oct โ†’
dust213โ€“3-0.0542%16 Oct โ†’
cache12โ€“16-0.075%16 Oct โ†’
dust213โ€“11-0.0317%15 Oct โ†’
ancient15โ€“15-0.045%15 Oct โ†’
anubis15โ€“15-0.078%15 Oct โ†’
inferno13โ€“7-0.0314%15 Oct โ†’
dust213โ€“8-0.0114%15 Oct โ†’
cache13โ€“10-0.0312%14 Oct โ†’
anubis13โ€“6-0.0416%14 Oct โ†’
inferno13โ€“11-0.0518%14 Oct โ†’
inferno13โ€“10-0.088%14 Oct โ†’
inferno11โ€“130.1118%14 Oct โ†’
mirage6โ€“130.0216%13 Oct โ†’
dust213โ€“90.0321%13 Oct โ†’
dust210โ€“13-0.054%13 Oct โ†’
anubis13โ€“7-0.119%13 Oct โ†’
cache13โ€“6-0.064%13 Oct โ†’
anubis8โ€“13-0.0325%13 Oct โ†’
cache13โ€“80.068%11 Oct โ†’
dust213โ€“110.0712%11 Oct โ†’
dust213โ€“8-0.023%11 Oct โ†’
dust213โ€“160.0212%11 Oct โ†’
anubis13โ€“9-0.0211%10 Oct โ†’
inferno13โ€“100.0115%10 Oct โ†’
cache13โ€“60.0712%7 Oct โ†’
nuke13โ€“80.008%6 Oct โ†’
nuke13โ€“40.0421%1 Oct โ†’
ancient5โ€“130.0014%1 Oct โ†’
anubis13โ€“6-0.0224%1 Oct โ†’
inferno6โ€“13-0.0314%1 Oct โ†’
inferno4โ€“13-0.0827%1 Oct โ†’
mirage5โ€“13-0.093%1 Oct โ†’
nuke7โ€“130.0213%1 Oct โ†’
mirage10โ€“13-0.0319%30 Sept โ†’
anubis16โ€“13-0.049%30 Sept โ†’
dust23โ€“13-0.130%29 Sept โ†’
inferno12โ€“160.0118%29 Sept โ†’
anubis7โ€“13-0.076%29 Sept โ†’
dust29โ€“13-0.0310%27 Sept โ†’
nuke9โ€“13-0.034%27 Sept โ†’
mirage10โ€“130.0429%24 Sept โ†’
dust213โ€“50.0512%24 Sept โ†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone โ†’Inventory value for this account โ†’Where does this rating sit? Premier rank tiers โ†’

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