Hurrikan

Hurrikan — CS2 Stats

GR76561198026348412[U:1:66082684]Steam profile ↗VAC banned

1,655Tracked matches36%Win rate2020Tracked since
1,784Hours in CS
CSDB Rating5.3 DevelopingSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,655
0.0ppWin rate · 35.7% → 35.7%

Rating over time

Premier CS Rating: 25,743 -666 16 Mar – 10 May · 6 days played
25,74327,303peak 27,30316 Mar10 May
27,354Peak Premier in tracked matches
37Days played since 2026-03-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2——
Win rate0%——
K/D0.66——
Headshot %45%——

Measured 11 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate48.4%50.9%
Shot accuracy15.6%13.7%
Kill/death ratio1.041.09
Match win rate49.3%48.4%

Share this profile

CSDB.GGHurrikanFACEITLevel 10STANDINGTop 12.4% 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

Aim67
Positioning54
Utility72

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateLWLLLLLWLL

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −3.0pp headshot accuracy · +22ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 645ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 634ms

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

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim6.7
Utility7.2
Positioning5.4
Opening Duels3.6
Clutch3.8

Style profile from tracked-match aggregates — 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 — 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

ZywOo

Plays most like ZywOo 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 45% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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
Positioning5.4
Utility7.2
Mechanics6.0
Opening Duels1.9
Win Impact0.2

Composite 5.3/10 (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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time625ms+43ms
first ⅓ avg 582ms → last ⅓ avg 625ms
Headshot accuracy19.2%+0.5%
first ⅓ avg 18.7% → last ⅓ avg 19.2%

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

0.17Best match rating · 13–7 · office, 7 Apr →
67%Best headshot accuracy · 4–1 · office, 7 Apr →
398msFastest reaction time · 13–0 · office, 8 Apr →
13–0Biggest win · office, 8 Apr →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 63% over 19infernoWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
anubisA1912–763%-0.00
nukeC188–1044%-0.01
infernoC177–1041%-0.01
officeA148–657%0.01
overpassB105–550%-0.01
cacheC94–544%-0.01
ancientB63–350%-0.02
dust2—20–20%-0.09
vertigo—20–20%0.02
sanctum—11–0100%0.07
poseidon—11–0100%0.03
mirage—11–0100%0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,831Lifetime kills
1.04K/D
4,097Matches
49.3%Match win rate · Top 50% of Level 10 players
48.4%Headshot %
15.6%Shot accuracy · Top 50% of Level 10 players
10,943MVPs
1,784Hours (in match)
4,582Bombs planted
973Bombs defused

Most-used weapons

AK-4731,678
AWP3,858
MP91,599
Knife1,416
MAC-101,348

Lifetime map wins

16,943inferno
4,835nuke
1,783dust2
1,553train
1,317vertigo
363lake
302office
265cbble

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

Faceit stats

Combat

621Matches
55%Win rate
1.07Avg K/D
77.9ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno13953%1.1114.9
Nuke9160%1.0514.7
Overpass5252%0.9914.2
Ancient5143%1.0415.5
Anubis4657%1.0516.2
Vertigo3174%1.1514.9
Cache2458%1.1816.5
Train683%1.2217.3

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.

19.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
41.7%Spray accuracy
77.0%Counter-strafing
10.6°Preaim
619msReaction time
29.9%T opening success
45.3%CT opening success
0.66Enemies flashed / flash
17.1%Flash assists
12.32HE damage / grenade
8.86Flashes / 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. 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 29.8967% — below the 40% mark we flag

Spend your practice time on Inferno

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass6–130.009%10 Jun →
anubis13–80.1024%8 Jun →
dust26–13-0.1011%8 Jun →
ancient4–13-0.0415%8 Jun →
anubis9–130.0010%5 Jun →
vertigo11–130.0219%4 Jun →
vertigo0–50.0120%4 Jun →
anubis13–11-0.0413%2 Jun →
cache11–13-0.0216%2 Jun →
inferno8–130.0117%2 Jun →
anubis15–15-0.0215%1 Jun →
anubis7–13-0.049%1 Jun →
sanctum9–40.0714%31 May →
inferno0–9-0.2514%31 May →
poseidon9–30.0314%31 May →
cache10–13-0.059%27 May →
nuke4–13-0.0436%24 May →
ancient16–130.0222%19 May →
cache13–110.0721%18 May →
office12–12-0.0829%13 May →
anubis13–60.0817%10 May →
inferno9–13-0.0120%10 May →
anubis13–100.019%4 May →
cache13–70.0125%4 May →
nuke3–13-0.0617%4 May →
nuke1–80.0036%4 May →
cache13–5-0.0014%30 Apr →
cache13–5-0.0119%30 Apr →
cache7–13-0.0238%30 Apr →
cache11–13-0.0721%29 Apr →
cache6–13-0.0320%29 Apr →
overpass14–16-0.0525%26 Apr →
office13–00.1238%8 Apr →
office9–13-0.0710%8 Apr →
office13–7-0.0226%7 Apr →
office4–1-0.0667%7 Apr →
office13–70.1738%7 Apr →
office13–20.0023%7 Apr →
office13–40.0319%7 Apr →
office12–12-0.0043%7 Apr →
office13–6-0.0428%7 Apr →
inferno14–16-0.0317%7 Apr →
nuke9–13-0.0424%6 Apr →
inferno13–9-0.0322%5 Apr →
dust24–13-0.0925%5 Apr →
ancient8–13-0.0115%4 Apr →
overpass8–130.0523%4 Apr →
inferno13–90.0612%2 Apr →
overpass6–13-0.0313%2 Apr →
anubis13–110.0120%1 Apr →
nuke13–4-0.0117%1 Apr →
anubis13–60.0217%1 Apr →
overpass13–9-0.0319%1 Apr →
nuke13–7-0.0316%1 Apr →
overpass19–17-0.0510%1 Apr →
inferno6–13-0.0716%1 Apr →
anubis13–80.0517%1 Apr →
anubis13–3-0.0227%1 Apr →
nuke13–70.0426%31 Mar →
nuke13–8-0.0315%30 Mar →
nuke13–8-0.0316%29 Mar →
inferno13–40.0815%29 Mar →
nuke11–130.0115%29 Mar →
inferno13–4-0.0113%29 Mar →
ancient13–2-0.0219%29 Mar →
anubis13–3-0.0614%29 Mar →
inferno6–13-0.0529%29 Mar →
office11–13-0.034%27 Mar →
overpass13–50.027%27 Mar →
inferno6–130.0113%27 Mar →
office5–130.0125%26 Mar →
office13–50.1219%26 Mar →
office12–12-0.0124%26 Mar →
nuke8–13-0.0123%25 Mar →
nuke15–15-0.0030%25 Mar →
anubis11–130.0012%25 Mar →
nuke13–80.0121%24 Mar →
anubis16–14-0.0311%24 Mar →
nuke10–130.0318%24 Mar →
overpass13–5-0.0414%24 Mar →
nuke13–8-0.0315%23 Mar →
anubis13–40.0412%23 Mar →
overpass13–100.0217%23 Mar →
inferno13–50.0818%22 Mar →
ancient16–14-0.0113%22 Mar →
nuke13–00.1338%22 Mar →
inferno13–110.0617%22 Mar →
anubis1–13-0.0225%22 Mar →
mirage13–20.1416%22 Mar →
inferno9–13-0.0424%22 Mar →
anubis13–6-0.0223%19 Mar →
nuke13–16-0.016%19 Mar →
inferno11–130.1029%19 Mar →
inferno11–13-0.0319%19 Mar →
inferno9–6-0.0922%17 Mar →
ancient9–13-0.0617%16 Mar →
nuke8–13-0.0621%16 Mar →
overpass13–16-0.0328%15 Mar →
anubis6–13-0.0826%15 Mar →
anubis2–9-0.0011%15 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.