crouching tiger sitting gamer

crouching tiger sitting gamer — CS2 Stats

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

1,642Tracked matches50%Win rate2020Tracked since
2,589Hours in CS14Hrs last 2 wks
CSDB Rating5.5 SolidPositional 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 (31 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,096 → 1,096
+26Tracked matches · now 1,642
−6.7ppWin rate · 56.7% → 50.0%

Rating over time

Premier CS Rating: 15,935 -250 30 May – 25 Jun · 7 days played
15,58717,159peak 17,15930 May25 Jun
Faceit ELO: 1,096 +0 1 Sept – 13 Sept · 2 observations
1,0961,096peak 1,0961 Sept13 Sept
17,159Peak Premier in tracked matches
1,096Highest Faceit ELO seen on CSDB
47Days played since 2026-05-30

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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches58——
Win rate47%——
K/D2.07——
Headshot %77%——

Measured 13 Sep 2026 → 14 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 5 among CSDB-tracked players (n=13,888), 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 rate44.6%43.7%44.8%meets
Shot accuracy14.9%12.0%12.4%above
Kill/death ratio0.861.021.030.17 short
Match win rate38.7%44.7%45.2%6.5% 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

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

Aim73
Positioning60
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWLWLLLLWLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +12.1pp headshot accuracy · −5ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 569ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 553ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 556ms

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 (+1.6 against its own average).

Aim7.3
Utility4.9
Positioning6.0
Opening Duels4.0
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

s1mple

Plays most like s1mple 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 59% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 585ms 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
Positioning6.0
Utility4.9
Mechanics6.6
Opening Duels4.9
Win Impact5.0

Composite 5.5/10 (Solid), 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-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time589ms−95ms
first ⅓ avg 684ms → last ⅓ avg 589ms
Headshot accuracy21.0%+3.4%
first ⅓ avg 17.6% → last ⅓ avg 21.0%

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 →
13–2Biggest win · cache, 13 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 57% over 23mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
ancientA2313–1057%-0.01
nukeA169–756%-0.02
anubisB157–847%-0.02
cacheD124–833%-0.01
mirageD113–827%-0.04
officeC52–340%-0.02
dust2—42–250%-0.01
inferno—32–167%0.02
overpass—31–233%-0.05
train—22–0100%0.02
vertigo—22–0100%-0.03
boulder—20–20%-0.04
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 (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,030Lifetime kills
0.86K/D
3,925Matches
38.7%Match win rate
44.6%Headshot % · Top 50% of Level 5 players
14.9%Shot accuracy · Top 50% of Level 5 players
6,568MVPs
1,513Hours (in match)
3,282Bombs planted
1,100Bombs defused

Most-used weapons

AK-4720,816
AWP3,214
MP92,950
AUG2,447
MAC-102,386

Lifetime map wins

5,266nuke
3,143inferno
2,993train
2,930dust2
2,296vertigo
244office
177cbble
78lake

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

Faceit stats

Combat

365Matches
48%Win rate
0.88Avg K/D
74.3ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient4965%1.0415.4
Mirage3837%0.8113.3
Anubis3462%0.9914.8
Nuke3348%0.8614.3
Vertigo2055%0.8614.3
Dust21346%0.8213.1
Inferno933%0.6310.3
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.

18.2%Headshot accuracy
37.6%Accuracy (enemy spotted)
42.1%Spray accuracy
79.8%Counter-strafing
11.3°Preaim
585msReaction time
59.0%T opening success
40.2%CT opening success
0.59Enemies flashed / flash
7.1%Flash assists
6.89HE damage / grenade
8.17Flashes / match

Recommended for you

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.

27% 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
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 →
nuke13–16-0.022%6 Jun →
ancient16–140.0113%6 Jun →
ancient13–4-0.0212%6 Jun →
dust213–11-0.0315%6 Jun →
mirage13–8-0.0020%6 Jun →
ancient13–10-0.0114%1 Jun →
nuke13–8-0.018%1 Jun →
mirage5–13-0.0524%1 Jun →
anubis8–13-0.0124%31 May →
nuke3–13-0.0517%31 May →
overpass13–3-0.019%30 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 →

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