shushan

shushan — CS2 Stats

PRO“Giorno Giovanna”Free AgentIsraelAWPerSettings & gear profile →

IL76561198024615867[U:1:64350139]Steam profile ↗✓ No bans

3,751Tracked matches60%Win rate2020Tracked since
CSDB Rating6.9 SolidSupport
FaceitLevel 10 · 3,653 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,653 → 3,653
+5Tracked matches · now 3,751
0.0ppWin rate · 60.0% → 60.0%

Rating over time

Faceit ELO: 3,653 +0 29 Aug – 19 Oct · 6 observations
3,6533,653peak 3,65329 Aug19 Oct
3,653Highest Faceit ELO seen on CSDB
57Days played since 2025-04-03

Faceit ELO

  • At peak — 3,653
  • 0 over 30 days · steady
  • Next: 4,000 ELO at 4,000 — 347 to go
  • Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
  • 3,500 ELO first seen 2026-08-29
  • 3,000 ELO first seen 2026-08-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGshushanFACEITLevel 10 · 3,653 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO3,653csdb.gg/stats

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Performance scores

Aim76
Positioning64
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY69–30–1Last 10069%Win rateWLWLWLWWLL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −4.6pp headshot accuracy · −39ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 555ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 525ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 544ms

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 (+1.5 against its own average).

Aim7.6
Utility6.6
Positioning6.4
Opening Duels3.8
Clutch3.4

Strong CT-side openerEffective flashes

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 53% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim7.6
Positioning6.4
Utility6.6
Mechanics5.8
Opening Duels3.6
Win Impact8.3

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time572ms−4ms
first ⅓ avg 576ms → last ⅓ avg 572ms
Headshot accuracy25.3%−3.6%
first ⅓ avg 28.9% → last ⅓ avg 25.3%

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

0.33Best match rating · 3–1 · anubis, 18 Apr →
56%Best headshot accuracy · 13–2 · dust2, 7 Jan →
359msFastest reaction time · 9–13 · dust2, 14 Jun →
13–0Biggest win · mirage, 3 Apr →

Across the last 100 tracked matches.

Highlights

11Longest win streak
14–1In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 100% over 5mirageWeakest map · 52% over 25
MapGradePlayedRecordWin rateAvg rating
dust2S2920–969%0.01
mirageB2513–1252%0.01
infernoS139–469%0.02
ancientS109–190%0.04
nukeS75–271%0.03
anubisS55–0100%0.08
overpass—43–175%0.03
train—32–167%0.01
cache—11–0100%0.05
vertigo—10–10%0.09
italy—11–0100%0.07
basalt—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (52% over 25). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,006Matches
59%Win rate
1.23Avg K/D
86.9ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
22%1v2 clutch win
22Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage76961%1.3018.3
Ancient32352%1.2517.9
Anubis30155%1.2217.4
Dust228060%1.2317.6
Inferno12270%1.2317.9
Nuke11064%1.2617.7
Overpass8667%1.2618.8
Vertigo5657%1.2316.7

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

Inventory

$7,924Inventory value42ItemsFull inventory breakdown →
★ Karambit | Gamma Doppler (Factory New)$1,831★ Butterfly Knife | Gamma Doppler (Factory New)$1,808★ Butterfly Knife | Tiger Tooth (Factory New)$1,770★ Sport Gloves | Ultra Violent (Well-Worn)$1,336M4A1-S | Fade (Factory New)$326AK-47 | B the Monster (Minimal Wear)$278

Skill profile

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

26.2%Headshot accuracy
34.9%Accuracy (enemy spotted)
34.5%Spray accuracy
76.3%Counter-strafing
9.7°Preaim
577msReaction time
35.5%T opening success
53.4%CT opening success
0.72Enemies flashed / flash
10.6%Flash assists
7.67HE damage / grenade
14.44Flashes / 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 35.541% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache13–100.0524%17 Jul →
nuke9–130.0226%15 Jul →
nuke13–90.0221%27 Jun →
mirage7–13-0.0623%26 Jun →
inferno13–100.0236%15 Jun →
dust29–13-0.0514%14 Jun →
dust211–10-0.0123%2 Jun →
dust213–70.0936%1 Jun →
dust20–6-0.1050%1 Jun →
mirage0–2-0.090%1 Jun →
dust216–140.0749%31 May →
inferno13–5-0.0223%21 May →
mirage13–90.0826%21 May →
dust213–5-0.0321%20 May →
ancient12–160.0122%18 May →
inferno10–130.0139%16 May →
dust213–100.0529%9 May →
mirage13–90.0531%6 May →
ancient13–110.0926%15 Apr →
inferno13–110.0733%18 Mar →
overpass13–7-0.0629%15 Mar →
overpass9–130.0318%14 Mar →
mirage8–13-0.0123%13 Mar →
dust213–60.0120%12 Mar →
dust213–6-0.0218%12 Mar →
dust213–2-0.0116%11 Mar →
mirage5–13-0.0318%25 Feb →
mirage3–13-0.0621%23 Feb →
mirage12–16-0.0326%21 Feb →
ancient13–70.0222%20 Feb →
mirage13–110.0033%14 Feb →
dust24–13-0.0314%7 Feb →
mirage13–20.1323%24 Jan →
mirage2–13-0.067%24 Jan →
inferno13–60.0734%21 Jan →
dust27–13-0.0221%21 Jan →
dust213–5-0.0117%21 Jan →
inferno13–110.0435%21 Jan →
dust213–100.0537%19 Jan →
mirage13–110.0833%19 Jan →
mirage13–11-0.0238%19 Jan →
inferno2–130.0120%18 Jan →
mirage22–190.0019%17 Jan →
mirage3–13-0.0029%17 Jan →
dust213–110.0127%17 Jan →
mirage13–7-0.0336%13 Jan →
inferno13–80.0428%9 Jan →
dust213–6-0.0132%7 Jan →
dust213–20.1056%7 Jan →
inferno13–10-0.0130%7 Jan →
mirage8–13-0.0341%12 Oct →
ancient16–14-0.0143%16 Sept →
nuke16–130.0536%6 Sept →
train6–130.0038%3 Sept →
ancient13–40.0841%31 Aug →
mirage0–130.0527%31 Aug →
dust210–13-0.0220%30 Aug →
inferno13–90.0135%22 Aug →
dust213–10-0.0133%22 Aug →
nuke13–11-0.0228%13 May →
vertigo8–130.0933%13 May →
dust212–120.1133%13 May →
mirage13–70.0426%3 May →
dust24–13-0.0532%3 May →
inferno9–130.0328%3 May →
dust213–7-0.0424%3 May →
ancient13–30.1035%3 May →
mirage10–13-0.0324%3 May →
mirage13–160.0119%2 May →
dust23–7-0.0318%22 Apr →
dust213–80.1326%22 Apr →
train13–80.0331%18 Apr →
anubis3–10.3343%18 Apr →
dust213–4-0.0431%17 Apr →
mirage13–50.1035%17 Apr →
anubis13–60.0840%17 Apr →
inferno9–13-0.0132%16 Apr →
dust213–90.0634%16 Apr →
overpass13–60.1126%16 Apr →
dust213–60.0226%16 Apr →
anubis13–80.0239%16 Apr →
ancient13–60.0522%16 Apr →
dust26–130.0733%15 Apr →
anubis13–6-0.0424%11 Apr →
train13–110.0138%10 Apr →
inferno13–100.0529%10 Apr →
anubis13–20.0247%10 Apr →
mirage13–110.0324%10 Apr →
nuke8–13-0.0527%10 Apr →
nuke13–100.1240%10 Apr →
ancient13–10.0423%8 Apr →
ancient13–7-0.0323%5 Apr →
mirage5–1-0.080%5 Apr →
overpass13–70.0530%4 Apr →
nuke13–50.0640%3 Apr →
ancient13–40.0720%3 Apr →
dust213–6-0.0323%3 Apr →
italy13–50.0721%3 Apr →
mirage13–00.0934%3 Apr →
basalt13–60.0331%3 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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