๐—ก๐—ฎ๐—น๐—ผ๐—ฟ๐—ถ๐—ฎ

๐—ก๐—ฎ๐—น๐—ผ๐—ฟ๐—ถ๐—ฎ โ€” CS2 Stats

AU76561199259988918[U:1:1299723190]Steam profile โ†—

1,498Tracked matches53%Win rate2025Tracked since
957Hours in CS
CSDB Rating5.6 SolidAggressive Rifler
Premier CS Rating17,076Purple band ยท top ~20.1% of ranked players (population est.)
CSDB Leaderboard#7482 of 12777 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), 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 playerPink band medianvs Pink band
Headshot rate38.8%48.1%9.3% short
Shot accuracy0.2%12.9%12.7% short
Kill/death ratio0.931.080.16 short
Match win rate47.4%46.5%above

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GG๐—ก๐—ฎ๐—น๐—ผ๐—ฟ๐—ถ๐—ฎPREMIER17,076 ยท Purple 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

Aim72
Positioning52
Utility50

0โ€“100 skill scores via Leetify.

Recent form

STEADY35โ€“59โ€“6Last 10035%Win rateWLLWWLWLWL

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

Player DNA

Primary style: Aggressive Rifler โ€” Takes opening fights often, backed by a strong aim profile.

Aim7.2
Aggression7.0
Utility5.0
Positioning5.2
Opening Duels2.8
Clutch5.0

Strong CT-side openerLimited utility dependence

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

Your pro match

ropz

Plays most like ropz 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

T-side openings. Opening success drops from 50% on CT to 32% on T โ€” the same duels are being taken with worse setups on the attacking side.

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

Aim7.2
Positioning5.2
Utility5.0
Mechanics5.0
Opening Duels2.8
Win Impact6.1

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (ร—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first โ…“ avg -0.02 โ†’ last โ…“ avg -0.00
Reaction time525msโˆ’71ms
first โ…“ avg 596ms โ†’ last โ…“ avg 525ms
Headshot accuracy15.8%+0.3%
first โ…“ avg 15.5% โ†’ last โ…“ avg 15.8%

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

0.16Best rating โ€” ancient 13โ€“2
13โ€“1Biggest win โ€” inferno
3Longest win streak
6โ€“10In matches decided by โ‰ค2 rounds
12Overtime games

Map breakdown

dust2Best map ยท 44% over 25nukeWeakest map ยท 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2511โ€“1444%-0.02
ancientC229โ€“1341%0.00
mirageC207โ€“1335%-0.01
infernoC145โ€“936%-0.01
anubisD61โ€“517%-0.04
nukeD50โ€“50%-0.04
cacheD51โ€“420%-0.04
trainโ€”21โ€“150%0.02
vertigoโ€”10โ€“10%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,508Lifetime kills
0.93K/D
2,493Matches
47.4%Match win rate ยท Top 50% of tracked players
38.8%Headshot %
0.2%Shot accuracy
3,300MVPs
957Hours (in match)
2,169Bombs planted
429Bombs defused

Most-used weapons

Lifetime map wins

8,813dust2
2,261inferno
1,290nuke
459train
148vertigo
52office
10italy
3cbble

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

Faceit stats

Combat

52Matches
56%Win rate
1.02Avg K/D
75.4ADR
42%Headshot %

Clutches & streaks

45%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1662%1.0715.0
Dust21362%1.0514.9
Ancient1155%0.8414.4
Inferno633%1.1014.2
Anubis333%0.959.3
Nuke250%0.909.5
Overpass1100%1.5323.0

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

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.

15.0%Headshot accuracy
34.2%Accuracy (enemy spotted)
37.0%Spray accuracy
72.5%Counter-strafing
7.9ยฐPreaim
515msReaction time
32.3%T opening success
49.8%CT opening success
0.54Enemies flashed / flash
5.0%Flash assists
6.80HE damage / grenade
4.76Flashes / 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. 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 32.3281% โ€” below the 40% mark we flag

Spend your practice time on Nuke

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

0% win rate across 5 tracked games โ€” your weakest map with enough games to be worth reading into.

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

Recent matches

MapScoreRatingHS%Date
dust213โ€“70.0111%26 Aug โ†’
ancient7โ€“13-0.058%26 Aug โ†’
dust210โ€“130.0012%22 Aug โ†’
dust213โ€“9-0.018%22 Aug โ†’
dust213โ€“7-0.0218%22 Aug โ†’
nuke8โ€“130.0212%22 Aug โ†’
inferno13โ€“10-0.0516%21 Aug โ†’
ancient7โ€“13-0.0325%21 Aug โ†’
mirage13โ€“90.0214%21 Aug โ†’
mirage1โ€“13-0.0914%21 Aug โ†’
mirage13โ€“11-0.025%21 Aug โ†’
dust26โ€“13-0.0218%21 Aug โ†’
ancient13โ€“90.0215%20 Aug โ†’
dust213โ€“6-0.0011%20 Aug โ†’
dust211โ€“130.009%20 Aug โ†’
dust24โ€“13-0.0613%20 Aug โ†’
mirage13โ€“110.0617%20 Aug โ†’
ancient16โ€“140.058%16 Aug โ†’
ancient11โ€“13-0.0121%16 Aug โ†’
train10โ€“13-0.0817%16 Aug โ†’
mirage16โ€“130.0617%16 Aug โ†’
inferno6โ€“13-0.0411%15 Aug โ†’
anubis14โ€“160.0613%15 Aug โ†’
train8โ€“00.1144%13 Aug โ†’
mirage13โ€“50.0313%13 Aug โ†’
ancient10โ€“130.0119%13 Aug โ†’
inferno13โ€“70.0622%13 Aug โ†’
ancient13โ€“7-0.0222%13 Aug โ†’
nuke2โ€“13-0.1224%13 Aug โ†’
mirage13โ€“20.0522%9 Aug โ†’
ancient13โ€“16-0.0712%9 Aug โ†’
ancient13โ€“20.1624%9 Aug โ†’
anubis1โ€“13-0.139%9 Aug โ†’
anubis13โ€“9-0.0122%9 Aug โ†’
dust29โ€“13-0.0611%8 Aug โ†’
ancient13โ€“9-0.0116%8 Aug โ†’
ancient12โ€“120.0310%4 Aug โ†’
inferno12โ€“160.0811%3 Aug โ†’
anubis10โ€“13-0.0115%3 Aug โ†’
dust216โ€“12-0.0512%3 Aug โ†’
dust27โ€“130.0021%3 Aug โ†’
ancient11โ€“13-0.038%2 Aug โ†’
inferno2โ€“13-0.0511%2 Aug โ†’
inferno8โ€“130.0120%2 Aug โ†’
dust24โ€“13-0.0421%2 Aug โ†’
mirage10โ€“13-0.0322%1 Aug โ†’
ancient13โ€“9-0.0120%1 Aug โ†’
dust213โ€“6-0.0417%1 Aug โ†’
inferno5โ€“130.0211%1 Aug โ†’
mirage9โ€“130.0015%1 Aug โ†’
dust27โ€“13-0.0612%29 Jul โ†’
inferno1โ€“13-0.0924%29 Jul โ†’
ancient10โ€“130.0119%29 Jul โ†’
dust213โ€“70.046%29 Jul โ†’
mirage5โ€“13-0.088%28 Jul โ†’
inferno3โ€“13-0.0817%28 Jul โ†’
mirage8โ€“13-0.0215%27 Jul โ†’
cache13โ€“60.0112%27 Jul โ†’
dust216โ€“130.0015%27 Jul โ†’
ancient14โ€“16-0.047%27 Jul โ†’
ancient13โ€“3-0.0221%27 Jul โ†’
mirage7โ€“130.0413%27 Jul โ†’
cache4โ€“13-0.0626%26 Jul โ†’
mirage6โ€“13-0.0820%25 Jul โ†’
nuke12โ€“12-0.0510%25 Jul โ†’
dust213โ€“10-0.0717%25 Jul โ†’
dust213โ€“11-0.077%25 Jul โ†’
ancient13โ€“80.0318%25 Jul โ†’
ancient15โ€“150.0220%25 Jul โ†’
ancient5โ€“130.0019%25 Jul โ†’
ancient5โ€“13-0.0316%25 Jul โ†’
ancient11โ€“130.0111%23 Jul โ†’
dust24โ€“13-0.0718%23 Jul โ†’
anubis8โ€“13-0.0916%23 Jul โ†’
dust211โ€“13-0.0120%23 Jul โ†’
dust216โ€“140.0111%23 Jul โ†’
inferno13โ€“10.0828%23 Jul โ†’
mirage10โ€“13-0.036%23 Jul โ†’
inferno15โ€“15-0.0712%22 Jul โ†’
mirage13โ€“11-0.0220%22 Jul โ†’
dust215โ€“150.0611%22 Jul โ†’
dust24โ€“13-0.0519%22 Jul โ†’
anubis12โ€“12-0.074%21 Jul โ†’
mirage0โ€“13-0.0717%21 Jul โ†’
dust211โ€“13-0.0016%21 Jul โ†’
vertigo9โ€“13-0.0018%20 Jul โ†’
cache8โ€“13-0.0313%20 Jul โ†’
nuke2โ€“13-0.0425%20 Jul โ†’
mirage3โ€“130.0119%18 Jul โ†’
dust22โ€“13-0.0416%18 Jul โ†’
inferno7โ€“13-0.0015%18 Jul โ†’
mirage11โ€“13-0.0320%18 Jul โ†’
ancient13โ€“8-0.0112%18 Jul โ†’
inferno13โ€“10-0.0218%18 Jul โ†’
mirage9โ€“130.0613%18 Jul โ†’
cache5โ€“13-0.0211%18 Jul โ†’
cache5โ€“13-0.086%18 Jul โ†’
inferno13โ€“9-0.0419%18 Jul โ†’
nuke11โ€“13-0.0110%18 Jul โ†’
mirage3โ€“130.0119%18 Jul 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†’