Hostile

Hostile — CS2 Stats

76561198005049285[U:1:44783557]Steam profile ↗✓ No bans

1,033Tracked matches52%Win rate2020Tracked since
1,462Hours in CS
CSDB Rating5.1 Developing
Premier CS Rating11,912Blue band · top ~44.8% of ranked players (population est.)
CSDB Leaderboard#38606 of 56422 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 rate38.7%41.4%44.2%5.5% short
Shot accuracy14.7%9.0%11.6%above
Kill/death ratio1.280.971.03above
Match win rate46.4%43.7%45.2%above

This profile matches the typical Purple band player on 3 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.

Share this profile

CSDB.GGHostilePREMIER11,912 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning47
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52453Last 10052%Win rateLLWWLLWLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim5.8
Aggression5.3
Utility4.8
Positioning4.7
Opening Duels1.3

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

NiKo

Plays most like NiKo 83% playstyle similarity

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

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

T-side openings. Opening success drops from 49% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim5.8
Positioning4.7
Utility4.8
Mechanics7.8
Opening Duels2.4
Win Impact5.6

Composite 5.1/10 (Developing), 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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time640ms−17ms
first ⅓ avg 657ms → last ⅓ avg 640ms
Headshot accuracy11.8%−0.6%
first ⅓ avg 12.4% → last ⅓ avg 11.8%

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

0.20Best rating — anubis 13–3
130Biggest win — inferno
4Longest win streak
L2Current streak
64In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 60% over 10ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA39231659%0.02
ancientC104640%0.01
vertigoA106460%0.02
nukeA95456%-0.01
dust2C94544%-0.02
anubisB84450%0.05
mirageC73443%-0.02
inferno42250%0.07
train21150%-0.01
fachwerk1010%-0.02
overpass1010%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

86,053Lifetime kills
1.28K/D · Top 10% of Blue band
5,088Matches
46.4%Match win rate · Top 50% of Blue band
38.7%Headshot %
14.7%Shot accuracy · Top 25% of Blue band
7,909MVPs
1,462Hours (in match)
3,228Bombs planted
955Bombs defused

Most-used weapons

AK-4722,255
AWP5,036
P904,313
P2501,886
UMP-451,683

Lifetime map wins

3,742dust2
2,281inferno
1,436vertigo
1,158lake
1,059nuke
1,020bank
587train
537safehouse

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

Faceit stats

Combat

1Matches
0%Win rate
0.74Avg K/D
ADR
7%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

12.0%Headshot accuracy
34.3%Accuracy (enemy spotted)
38.9%Spray accuracy
85.2%Counter-strafing
10.9°Preaim
644msReaction time
21.2%T opening success
49.5%CT opening success
0.59Enemies flashed / flash
2.9%Flash assists
11.09HE damage / grenade
5.07Flashes / 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 11.9701% — below the 15% mark we flag

    Aim Training
  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 21.1789% — below the 40% mark we flag

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 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–160.021%28 Aug
nuke2–13-0.068%28 Aug
ancient13–40.055%28 Aug
cache13–60.0110%28 Aug
mirage11–13-0.0113%21 Aug
vertigo4–130.077%9 Aug
anubis13–30.2010%9 Aug
anubis3–9-0.0620%9 Aug
vertigo13–100.0110%4 Aug
cache13–70.1116%3 Aug
ancient6–13-0.0312%2 Aug
train9–13-0.0219%2 Aug
cache13–110.0421%1 Aug
vertigo13–1-0.029%30 Jul
vertigo9–130.0511%30 Jul
cache13–90.0619%28 Jul
anubis14–160.0312%27 Jul
dust213–70.0711%27 Jul
mirage7–2-0.0433%27 Jul
dust29–13-0.0312%25 Jul
dust210–13-0.088%24 Jul
cache7–00.048%24 Jul
cache13–9-0.0318%24 Jul
cache13–11-0.009%24 Jul
cache10–130.0417%24 Jul
anubis13–90.0613%22 Jul
mirage15–15-0.039%20 Jul
ancient11–130.046%19 Jul
cache13–20.0713%19 Jul
cache9–13-0.078%19 Jul
cache4–13-0.055%19 Jul
cache13–9-0.024%19 Jul
mirage13–9-0.008%19 Jul
cache13–80.0111%19 Jul
dust213–4-0.0410%19 Jul
cache10–130.006%19 Jul
nuke10–130.0219%16 Jul
mirage4–13-0.0719%16 Jul
cache13–100.0619%15 Jul
vertigo2–13-0.058%15 Jul
fachwerk1–8-0.0210%15 Jul
ancient13–70.0513%14 Jul
cache9–130.0815%14 Jul
ancient8–13-0.0213%14 Jul
cache13–11-0.0210%12 Jul
mirage4–13-0.069%12 Jul
inferno9–13-0.0119%12 Jul
nuke13–5-0.0216%11 Jul
cache13–5-0.0116%11 Jul
cache6–13-0.044%11 Jul
vertigo13–90.0319%11 Jul
ancient13–9-0.0218%11 Jul
dust213–11-0.0413%11 Jul
ancient10–130.0512%11 Jul
nuke13–8-0.049%6 Jul
overpass12–160.0213%6 Jul
nuke13–6-0.0118%6 Jul
cache5–130.0111%5 Jul
cache9–130.2015%5 Jul
inferno13–00.1311%5 Jul
nuke13–80.0210%5 Jul
nuke10–13-0.0213%5 Jul
inferno13–60.015%5 Jul
ancient11–10.039%5 Jul
dust213–70.0221%5 Jul
inferno12–120.1417%4 Jul
nuke13–60.066%4 Jul
cache13–5-0.027%3 Jul
ancient11–130.0314%3 Jul
cache7–13-0.0614%26 Jun
cache4–13-0.0621%26 Jun
cache13–30.0114%26 Jun
anubis13–110.0616%25 Jun
dust28–13-0.029%25 Jun
dust210–13-0.0116%23 Jun
cache12–120.0616%21 Jun
train13–100.0014%20 Jun
ancient9–13-0.069%20 Jun
cache1–13-0.0111%20 Jun
cache13–100.0111%12 Jun
vertigo13–20.168%9 Jun
cache6–13-0.027%9 Jun
cache13–20.086%6 Jun
cache3–13-0.0313%6 Jun
nuke8–130.0022%5 Jun
vertigo13–100.0110%5 Jun
cache13–10-0.0416%5 Jun
cache13–100.0513%1 Jun
cache2–130.0112%1 Jun
cache13–60.1314%1 Jun
cache13–90.048%30 May
cache13–5-0.0023%30 May
cache6–130.048%30 May
vertigo13–11-0.0410%29 May
vertigo6–13-0.068%29 May
dust23–13-0.069%29 May
mirage13–40.0510%29 May
anubis13–80.0012%27 May
anubis1–70.1022%27 May
cache13–70.038%26 May

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 →