crouching tiger sitting gamer

crouching tiger sitting gamer — CS2 Stats

US76561198166026245[U:1:205760517]Steam profile ↗✓ No bans

1,655Tracked matches47%Win rate2020Tracked since
2,607Hours in CS7Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
FaceitLevel 5 · 1,096 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (55 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,096 → 1,096
+39Tracked matches · now 1,655
−10.0ppWin rate · 56.7% → 46.7%

Rating over time

Premier CS Rating: 15,935 -577 9 Jun – 25 Jun · 3 days played
15,93516,512peak 16,5129 Jun25 Jun
Faceit ELO: 1,096 +0 1 Sept – 13 Sept · 2 observations
1,0961,096peak 1,0961 Sept13 Sept
16,865Peak Premier in tracked matches
1,096Highest Faceit ELO seen on CSDB
51Days played since 2026-06-07

Faceit ELO

  • At peak — 1,096
  • Next: Level 6 at 1,201 — 105 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-01
  • Level 4 first seen 2026-09-01

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate44.9%43.8%44.8%meets
Shot accuracy14.8%12.0%12.4%above
Kill/death ratio0.871.021.030.17 short
Match win rate38.8%44.7%45.2%6.4% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGcrouching tiger sitting g…FACEITLevel 5 · 1,096 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,096csdb.gg/stats

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Performance scores

Aim73
Positioning56
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWLLWLWLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −12.6pp headshot accuracy · +73ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 636ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 621ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 585ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim7.3
Utility4.6
Positioning5.6
Opening Duels1.9
Clutch2.8

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

iM

Plays most like iM 97% playstyle similarity

Most alike: opening-duel success, 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 32% on CT — first contacts on the defending side are being lost.

Reaction time. 574ms 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

Aim7.3
Positioning5.6
Utility4.6
Mechanics6.7
Opening Duels4.3
Win Impact3.9

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time583ms−111ms
first ⅓ avg 694ms → last ⅓ avg 583ms
Headshot accuracy21.4%+3.4%
first ⅓ avg 18.0% → last ⅓ avg 21.4%

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

0.08Best match rating · 13–11 · train, 8 Sept →
100%Best headshot accuracy · 4–8 · rush_001, 1 Oct →
422msFastest reaction time · 6–13 · anubis, 18 Sept →
13–1Biggest win · nuke, 22 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 60% over 15mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
ancientB2412–1250%-0.01
nukeA159–660%-0.02
anubisB147–750%-0.02
cacheD124–833%-0.01
mirageD112–918%-0.04
officeD62–433%-0.02
inferno—43–175%0.01
dust2—42–250%-0.00
train—22–0100%0.02
vertigo—22–0100%-0.03
boulder—20–20%-0.04
overpass—20–20%-0.07
rush_001—10–10%-0.05
shelter—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,855Lifetime kills
0.87K/D
3,951Matches
38.8%Match win rate
44.9%Headshot % · Top 50% of Level 5 players
14.8%Shot accuracy · Top 50% of Level 5 players
6,636MVPs
1,523Hours (in match)
3,295Bombs planted
1,119Bombs defused

Most-used weapons

AK-4721,354
AWP3,229
MP92,967
AUG2,447
MAC-102,404

Lifetime map wins

5,303nuke
3,157inferno
2,993train
2,945dust2
2,296vertigo
255office
177cbble
78lake

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

Faceit stats

Combat

375Matches
48%Win rate
0.88Avg K/D
73.8ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
15%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient5366%1.0315.2
Mirage4035%0.7913.1
Nuke3549%0.8714.1
Anubis3462%0.9914.8
Vertigo2055%0.8614.3
Dust21450%0.8613.6
Inferno1040%0.6410.3
Overpass771%0.7711.9

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.

18.4%Headshot accuracy
36.8%Accuracy (enemy spotted)
40.4%Spray accuracy
80.0%Counter-strafing
11.2°Preaim
574msReaction time
62.4%T opening success
32.3%CT opening success
0.53Enemies flashed / flash
6.7%Flash assists
7.17HE damage / grenade
6.82Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.2835% — below the 40% mark we flag

Spend your practice time on Mirage

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–70.0215%3 Nov →
mirage7–13-0.0714%2 Nov →
nuke9–13-0.0217%30 Oct →
inferno13–4-0.0218%30 Oct →
ancient3–13-0.0525%28 Oct →
ancient13–100.0213%23 Oct →
office11–13-0.0216%22 Oct →
dust213–100.0221%22 Oct →
nuke13–10.0822%22 Oct →
mirage14–16-0.0411%20 Oct →
ancient1–13-0.0625%15 Oct →
anubis13–110.0315%13 Oct →
inferno6–130.0625%12 Oct →
mirage13–3-0.0228%8 Oct →
ancient8–13-0.0317%6 Oct →
cache6–13-0.0415%6 Oct →
rush_0014–8-0.05100%1 Oct →
mirage4–13-0.0416%30 Sept →
inferno13–9-0.0321%28 Sept →
cache8–13-0.0336%28 Sept →
ancient13–30.0623%28 Sept →
ancient16–14-0.0410%25 Sept →
nuke13–11-0.0716%25 Sept →
nuke16–130.0117%23 Sept →
anubis9–130.0015%23 Sept →
nuke9–130.0023%23 Sept →
anubis16–12-0.0216%21 Sept →
nuke1–13-0.0919%21 Sept →
cache13–11-0.0222%21 Sept →
ancient9–13-0.0323%18 Sept →
anubis6–13-0.0614%18 Sept →
ancient13–11-0.0121%16 Sept →
anubis13–9-0.0119%16 Sept →
nuke8–130.0321%16 Sept →
mirage7–13-0.0921%14 Sept →
ancient13–9-0.0318%14 Sept →
ancient22–18-0.0112%10 Sept →
mirage10–13-0.0113%9 Sept →
dust213–40.0613%9 Sept →
cache8–130.0113%9 Sept →
train13–110.0821%8 Sept →
nuke10–13-0.0116%8 Sept →
ancient13–80.0512%8 Sept →
ancient13–50.0624%8 Sept →
mirage9–13-0.0611%7 Sept →
ancient16–13-0.0211%7 Sept →
cache8–13-0.0320%4 Sept →
nuke16–12-0.0520%4 Sept →
nuke13–7-0.0023%2 Sept →
vertigo13–9-0.039%2 Sept →
ancient5–13-0.0115%2 Sept →
ancient13–11-0.0119%2 Sept →
ancient9–13-0.0516%31 Aug →
office10–13-0.0321%30 Aug →
office7–9-0.0314%30 Aug →
office13–8-0.0721%30 Aug →
ancient13–7-0.0520%25 Aug →
inferno13–80.0217%25 Aug →
ancient10–13-0.0118%24 Aug →
office10–13-0.0420%16 Aug →
train13–10-0.0416%16 Aug →
ancient7–13-0.0517%15 Aug →
anubis5–13-0.089%14 Aug →
nuke13–11-0.0614%13 Aug →
cache13–2-0.0030%13 Aug →
nuke16–130.0113%12 Aug →
cache13–110.0614%12 Aug →
cache14–160.0116%12 Aug →
anubis10–13-0.0113%28 Jul →
dust26–13-0.0328%28 Jul →
boulder8–13-0.0217%27 Jul →
nuke12–12-0.0215%27 Jul →
anubis9–13-0.017%27 Jul →
anubis13–80.0618%26 Jul →
shelter12–12-0.0114%16 Jul →
boulder10–13-0.0618%16 Jul →
nuke13–3-0.0614%14 Jul →
cache13–30.0513%14 Jul →
cache12–16-0.0313%9 Jul →
ancient10–13-0.0414%9 Jul →
anubis13–6-0.0129%9 Jul →
office13–80.0822%27 Jun →
anubis13–6-0.0626%25 Jun →
anubis6–13-0.0230%25 Jun →
ancient6–13-0.064%25 Jun →
nuke13–8-0.0021%20 Jun →
mirage3–13-0.0320%20 Jun →
dust29–13-0.0619%20 Jun →
ancient14–160.0515%20 Jun →
mirage13–8-0.0420%20 Jun →
vertigo13–10-0.0220%18 Jun →
cache12–12-0.0319%18 Jun →
mirage10–13-0.0115%16 Jun →
overpass7–13-0.1123%11 Jun →
ancient11–13-0.0614%9 Jun →
overpass13–16-0.0414%9 Jun →
anubis4–13-0.0814%8 Jun →
mirage6–13-0.0523%8 Jun →
anubis13–10-0.0428%8 Jun →
cache10–13-0.0520%7 Jun →

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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