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KILLERSHARK — CS2 Stats

76561197989349499[U:1:29083771]

1,507Tracked matches55%Win rate2020Tracked since
5,739Hours in CS4Hrs last 2 wks
CSDB Rating5.0 Developing
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate43.9%49.0%52.0%8.1% short
Shot accuracy17.2%13.1%13.7%above
Kill/death ratio1.061.081.080.02 short
Match win rate49.5%46.9%48.8%meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKILLERSHARKFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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

Performance scores

Aim37
Positioning60
Utility54

0–100 skill scores via Leetify.

Recent form

HOT53–45–2Last 10053%Win rateLWWLWLWWWW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim3.7
Aggression7.3
Utility5.4
Positioning6.0
Opening Duels3.2
Clutch2.6

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

b1t

Plays most like b1t 86% playstyle similarity

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

Where you differ: 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. 704ms 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

Aim3.7
Positioning6.0
Utility5.4
Mechanics5.8
Opening Duels3.2
Win Impact6.7

Composite 5.0/10 (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-0.02−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time698ms+80ms
first ⅓ avg 618ms → last ⅓ avg 698ms
Headshot accuracy14.6%−2.5%
first ⅓ avg 17.1% → last ⅓ avg 14.6%

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

0.12Best rating — nuke 13–7
13–3Biggest win — nuke
5Longest win streak
12–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 65% over 17anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
ancientS1711–665%0.01
nukeA169–756%0.01
mirageA169–756%-0.03
anubisC135–838%0.00
infernoC104–640%-0.01
dust2A95–456%-0.03
vertigoA95–456%0.01
overpassA53–260%-0.02
cache—31–233%-0.04
train—21–150%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

110,029Lifetime kills
1.06K/D
4,543Matches
49.5%Match win rate · Top 50% of Level 9 players
43.9%Headshot %
17.2%Shot accuracy · Top 25% of Level 9 players
13,081MVPs
2,279Hours (in match)
9,290Bombs planted
1,257Bombs defused

Most-used weapons

AK-4738,280
M4A4 / M4A1-S29,701
P2000 / USP-S5,911
AWP4,834
Glock-184,321
Desert Eagle3,870
P2502,577
FAMAS2,541
Five-SeveN2,230
Galil AR2,122

Lifetime map wins

18,462dust2
6,529inferno
6,461nuke
3,208vertigo
2,052train
1,074cbble
704militia
54lake

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

Faceit stats

Combat

1,727Matches
51%Win rate
1.05Avg K/D
74.2ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
15%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient6757%0.9614.8
Mirage5746%0.9014.8
Nuke5256%1.0416.6
Anubis4560%1.0616.2
Inferno3743%0.7912.2
Vertigo2948%0.9715.6
Dust22658%0.9616.0
Overpass1573%0.9914.5

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.

15.2%Headshot accuracy
30.6%Accuracy (enemy spotted)
33.8%Spray accuracy
76.3%Counter-strafing
11.6°Preaim
704msReaction time
44.7%T opening success
41.0%CT opening success
0.54Enemies flashed / flash
5.1%Flash assists
13.89HE damage / grenade
5.25Flashes / 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 Settings

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

    Reaction time 704.3791ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Anubis

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0510%17 Jul →
nuke13–110.0212%12 Jul →
ancient13–70.0025%5 Jul →
ancient5–13-0.077%23 Jun →
overpass13–6-0.0415%18 Jun →
inferno10–13-0.0111%17 Jun →
mirage13–11-0.0920%13 Jun →
anubis13–40.1021%12 Jun →
ancient13–5-0.0210%10 Jun →
inferno13–4-0.049%8 Jun →
mirage13–9-0.0118%5 Jun →
cache2–13-0.0813%5 Jun →
inferno8–13-0.0317%5 Jun →
dust28–13-0.0116%4 Jun →
dust213–5-0.0524%31 May →
nuke28–240.0115%29 May →
mirage3–13-0.0514%29 May →
ancient13–11-0.0520%29 May →
dust213–9-0.0015%14 May →
overpass8–13-0.064%14 May →
cache13–5-0.0611%13 May →
anubis9–13-0.0117%11 May →
ancient13–11-0.0017%3 May →
overpass16–140.0210%29 Apr →
cache12–120.0316%29 Apr →
inferno2–130.0033%27 Apr →
dust27–130.0125%10 Apr →
nuke0–13-0.004%10 Apr →
overpass5–13-0.0713%11 Jan →
nuke13–3-0.0310%11 Jan →
mirage2–13-0.130%11 Jan →
inferno16–140.0113%10 Oct →
mirage13–90.0315%30 Jul →
dust213–7-0.0216%18 Jul →
mirage14–160.0022%17 Jul →
dust22–13-0.1412%17 Jul →
inferno8–13-0.085%17 Jul →
dust24–130.0110%16 Jul →
dust213–5-0.0124%16 Jul →
nuke9–130.0211%13 Jul →
dust213–8-0.0310%13 Jul →
mirage16–12-0.029%12 Jul →
anubis13–11-0.0016%19 Apr →
anubis3–13-0.0322%10 Jan →
ancient13–60.0110%29 Dec →
train3–13-0.096%23 Dec →
ancient6–13-0.0620%21 Dec →
mirage13–6-0.0321%21 Dec →
vertigo19–17-0.0112%20 Dec →
ancient9–13-0.0811%7 Dec →
vertigo3–13-0.0623%16 Nov →
anubis13–10-0.0119%15 Nov →
mirage13–100.0321%15 Nov →
train13–80.0113%15 Nov →
mirage13–6-0.0314%14 Oct →
anubis9–13-0.0312%21 Jun →
nuke13–80.0712%27 Jan →
ancient13–70.0823%21 Jan →
anubis10–130.0612%21 Jan →
overpass13–90.0424%21 Jan →
ancient13–50.0820%14 Jan →
vertigo1–13-0.0821%14 Jan →
vertigo11–13-0.0210%14 Jan →
nuke15–15-0.0311%14 Jan →
ancient13–40.0011%8 Jan →
vertigo13–90.0920%7 Jan →
inferno16–140.0211%1 Jan →
anubis8–13-0.0724%1 Jan →
mirage14–160.0218%1 Jan →
mirage7–13-0.0213%31 Dec →
inferno11–130.0223%29 Dec →
ancient9–130.0025%29 Dec →
nuke13–50.0517%29 Dec →
anubis13–70.0317%26 Dec →
nuke11–130.0119%26 Dec →
mirage9–13-0.079%25 Dec →
nuke13–70.1217%25 Dec →
ancient14–160.0318%25 Dec →
vertigo13–100.0415%25 Dec →
nuke13–50.0613%25 Dec →
ancient8–130.0319%25 Dec →
mirage13–5-0.0128%24 Dec →
inferno13–11-0.0027%24 Dec →
anubis8–13-0.0220%24 Dec →
vertigo13–90.0920%24 Dec →
mirage7–13-0.0525%24 Dec →
nuke13–90.0713%24 Dec →
ancient13–90.0614%24 Dec →
nuke11–13-0.077%24 Dec →
anubis9–130.0516%23 Dec →
vertigo13–6-0.019%23 Dec →
nuke13–110.0316%23 Dec →
nuke7–13-0.0611%23 Dec →
anubis9–13-0.0711%23 Dec →
mirage13–110.0015%22 Dec →
ancient13–90.1128%22 Dec →
vertigo14–160.029%22 Dec →
inferno9–130.0723%22 Dec →
ancient13–90.0816%22 Dec →
anubis13–100.0110%21 Dec →

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 →

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