Adjani — CS2 Stats

76561198251951094[U:1:291685366]

1,762Tracked matches50%Win rate2020Tracked since
1,467Hours in CS
CSDB Rating5.8 SolidHybrid Rifler
Premier CS Rating14,161Blue band · top ~32.8% of ranked players (population est.)
CSDB Leaderboard#20621 of 31778 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate35.6%41.7%44.1%8.4% short
Shot accuracy12.3%8.8%11.4%above
Kill/death ratio1.060.971.03above
Match win rate44.2%43.8%45.2%1.0% short

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

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGAdjaniPREMIER14,161 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning64
Utility46

0–100 skill scores via Leetify.

Recent form

COLD503812Last 10050%Win rateLWLWLLLWTL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

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

Aim6.7
Aggression9.2
Utility4.6
Positioning6.4
Opening Duels5.0

Limited 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

ropz

Plays most like ropz 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: higher opening-fight frequency; 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. 636ms 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

Aim6.7
Positioning6.4
Utility4.6
Mechanics7.3
Opening Duels5.0
Win Impact5.0

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time607ms−14ms
first ⅓ avg 620ms → last ⅓ avg 607ms
Headshot accuracy11.1%+1.1%
first ⅓ avg 10.0% → last ⅓ avg 11.1%

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

0.25Best rating — inferno 9–3
130Biggest win — dust2
6Longest win streak
611In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB38201853%-0.02
dust2C34151944%0.02
cacheS96367%0.00
ancientC52340%-0.02
nuke42250%-0.01
anubis32167%-0.00
mirage31233%0.01
debris32167%0.06
overpass1010%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,588Lifetime kills
1.06K/D · Top 50% of Blue band
4,781Matches
44.2%Match win rate · Top 50% of Blue band
35.6%Headshot %
12.3%Shot accuracy · Top 50% of Blue band
12,274MVPs
1,467Hours (in match)
4,512Bombs planted
811Bombs defused

Most-used weapons

AK-4721,760
AWP11,333
MP92,583
SG 5531,820
P901,633

Lifetime map wins

14,499dust2
9,194inferno
1,420nuke
1,064lake
246train
113safehouse
102vertigo
87cbble

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

Skill profile

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

11.8%Headshot accuracy
38.0%Accuracy (enemy spotted)
43.3%Spray accuracy
82.7%Counter-strafing
10.6°Preaim
636msReaction time
49.8%T opening success
50.0%CT opening success
0.50Enemies flashed / flash
12.7%Flash assists
6.03HE damage / grenade
4.74Flashes / 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. Best CS2 Crosshair

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

    Headshot accuracy 11.784% — below the 15% mark we flag

    Aim Training
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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno0–9-0.230%29 Aug
nuke13–80.0210%28 Aug
dust24–13-0.076%27 Aug
dust213–30.0431%27 Aug
anubis1–13-0.0316%27 Aug
inferno7–9-0.0810%24 Aug
cache14–160.009%23 Aug
cache13–70.0015%23 Aug
mirage15–150.069%23 Aug
cache5–13-0.018%21 Aug
nuke13–90.027%21 Aug
dust28–13-0.0114%21 Aug
inferno8–8-0.1317%15 Aug
inferno13–7-0.052%15 Aug
ancient6–130.0314%15 Aug
dust212–12-0.046%13 Aug
dust24–13-0.0412%12 Aug
dust27–130.0116%11 Aug
dust211–13-0.0115%11 Aug
inferno7–9-0.108%10 Aug
inferno9–30.2516%10 Aug
ancient8–13-0.0010%10 Aug
dust212–12-0.0410%10 Aug
inferno2–9-0.1610%10 Aug
dust213–90.039%10 Aug
dust213–40.0811%10 Aug
dust213–110.0217%10 Aug
inferno2–9-0.136%10 Aug
dust212–120.049%10 Aug
inferno8–80.059%9 Aug
inferno9–70.0510%9 Aug
inferno9–5-0.0613%9 Aug
inferno9–70.149%9 Aug
dust212–120.0316%9 Aug
dust212–12-0.038%9 Aug
dust212–120.0715%7 Aug
dust212–120.0511%7 Aug
dust29–40.1212%7 Aug
inferno9–30.0218%6 Aug
inferno9–50.0719%6 Aug
inferno9–30.1416%6 Aug
inferno9–40.0114%6 Aug
inferno9–40.168%6 Aug
dust25–13-0.0722%6 Aug
dust213–00.0618%6 Aug
dust213–40.095%4 Aug
dust213–90.0313%4 Aug
dust213–7-0.0211%4 Aug
dust22–13-0.0213%4 Aug
inferno13–40.0818%2 Aug
inferno4–9-0.0823%2 Aug
dust213–110.0113%29 Jul
dust213–40.0933%29 Jul
inferno3–9-0.0918%28 Jul
inferno7–9-0.0311%28 Jul
inferno5–9-0.1416%28 Jul
inferno9–1-0.030%28 Jul
inferno9–10.089%28 Jul
inferno9–4-0.0115%28 Jul
ancient13–16-0.0911%28 Jul
mirage8–13-0.084%28 Jul
inferno0–9-0.250%27 Jul
anubis13–10-0.037%27 Jul
inferno1–9-0.234%27 Jul
inferno9–50.0510%27 Jul
inferno2–9-0.1610%27 Jul
inferno9–50.0818%27 Jul
ancient13–30.0320%26 Jul
dust215–15-0.0211%26 Jul
cache13–7-0.037%26 Jul
dust211–13-0.0111%25 Jul
cache13–90.028%25 Jul
dust213–60.0410%25 Jul
inferno11–130.056%25 Jul
mirage13–40.046%25 Jul
nuke11–13-0.0314%25 Jul
inferno13–90.0510%25 Jul
dust211–130.014%24 Jul
cache13–80.025%24 Jul
nuke9–13-0.0411%24 Jul
dust213–50.0818%24 Jul
cache13–7-0.048%24 Jul
dust24–13-0.0420%22 Jul
dust213–90.0517%22 Jul
inferno13–60.0210%22 Jul
dust213–80.049%22 Jul
overpass7–9-0.063%22 Jul
inferno9–70.057%22 Jul
debris9–50.0315%22 Jul
inferno9–70.0510%22 Jul
anubis13–30.046%22 Jul
inferno0–9-0.300%21 Jul
inferno5–90.0310%21 Jul
ancient13–9-0.054%21 Jul
cache5–13-0.037%21 Jul
debris9–30.138%21 Jul
debris8–80.025%21 Jul
inferno7–90.0314%21 Jul
dust210–13-0.0417%21 Jul
cache13–90.0918%21 Jul

Match data via Leetify.

Recent teammates

Milestones

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