PearL

PearL — CS2 Stats

ZW76561198088068314[U:1:127802586]Steam profile ↗✓ No bans

815Tracked matches45%Win rate2020Tracked since
48,358Hours in CS
CSDB Rating5.4 DevelopingClutch Specialist
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

+36Tracked matches · now 815
−20.7ppWin rate · 65.5% → 44.8%

Rating over time

64Days played since 2024-02-03

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate56.9%48.2%50.9%above
Shot accuracy23.0%13.2%13.7%above
Kill/death ratio0.831.071.090.26 short
Match win rate44.2%46.9%48.4%4.2% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPearLFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning52
Utility55

0–100 skill scores via Leetify.

Recent form

COLD61–38–1Last 10061%Win rateLLLLLLLLLL

Last 10 vs previous 10: −60pp win rate · −0.03 avg rating · −6.4pp headshot accuracy · +53ms reaction

Win rate down 60pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 570ms

Last 10

  • 0–10 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 614ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 587ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.5 against its own average).

Aim6.5
Utility5.5
Positioning5.2
Opening Duels3.7
Clutch6.8

Strong CT-side opener

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 90% 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

T-side openings. Opening success drops from 54% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 612ms 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

Aim6.5
Positioning5.2
Utility5.5
Mechanics6.5
Opening Duels3.1
Win Impact3.3

Composite 5.4/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time626ms+41ms
first ⅓ avg 585ms → last ⅓ avg 626ms
Headshot accuracy13.5%−2.5%
first ⅓ avg 16.0% → last ⅓ avg 13.5%

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 · 13–2 · anubis, 27 Feb →
29%Best headshot accuracy · 6–13 · ancient, 3 Feb →
414msFastest reaction time · 13–2 · ancient, 15 Jul →
13–2Biggest win · grail, 29 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L10Current streak
10–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 83% over 12anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
ancientA3018–1260%-0.01
infernoA2213–959%-0.02
nukeS1210–283%0.01
mirageA106–460%0.00
dust2S75–271%0.00
anubisD62–433%0.02
trainS54–180%0.00
overpass—31–233%0.01
cache—20–20%-0.07
grail—21–150%0.04
vertigo—11–0100%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

719,151Lifetime kills
0.83K/D
12,811Matches
44.2%Match win rate
56.9%Headshot % · Top 25% of Level 9 players
23.0%Shot accuracy · Top 1% of Level 9 players
43,301MVPs
48,358Hours (in match)
9,089Bombs planted
9,027Bombs defused

Most-used weapons

AK-47415,788
AWP13,088
Glock-1811,702
P2506,973
Knife6,092
SG 5535,653
MAC-104,462

Lifetime map wins

25,044inferno
19,035dust2
8,023train
6,771nuke
5,473vertigo
5,272cbble
1,141lake
87shorttrain

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

Faceit stats

Combat

1,374Matches
54%Win rate
1.05Avg K/D
80.5ADR
41%Headshot %

Clutches & streaks

54%1v1 clutch win
14%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient6058%1.0015.0
Nuke3256%1.1116.0
Inferno3168%0.8214.0
Anubis2548%0.9816.4
Mirage2264%1.0817.3
Overpass1650%1.1515.1
Dust21145%0.9715.4
Train683%1.0816.3

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.

14.3%Headshot accuracy
39.2%Accuracy (enemy spotted)
40.6%Spray accuracy
79.1%Counter-strafing
11.9°Preaim
612msReaction time
31.0%T opening success
53.8%CT opening success
0.65Enemies flashed / flash
9.1%Flash assists
10.99HE damage / grenade
6.42Flashes / 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 14.3255% — 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 30.9602% — below the 40% mark we flag

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache3–13-0.078%15 Oct →
mirage0–4-0.058%12 Oct →
mirage6–10-0.0020%12 Oct →
inferno5–13-0.0510%12 Oct →
inferno4–13-0.0212%24 Sept →
dust210–13-0.0512%24 Sept →
inferno7–13-0.0614%22 Sept →
cache9–13-0.0712%22 Sept →
mirage11–130.037%21 Sept →
ancient11–13-0.048%17 Sept →
mirage13–70.0622%13 Sept →
inferno19–17-0.0019%12 Sept →
mirage13–60.0414%12 Sept →
inferno13–10-0.077%19 Aug →
dust28–130.0016%17 Aug →
ancient6–13-0.0521%17 Aug →
ancient13–9-0.0022%10 Apr →
ancient10–13-0.0116%10 Apr →
dust213–40.0326%10 Apr →
inferno4–9-0.0612%8 Apr →
inferno5–13-0.0213%8 Apr →
nuke13–80.0412%8 Apr →
inferno13–10-0.017%20 Sept →
train13–50.0513%20 Sept →
inferno5–9-0.098%29 Aug →
grail12–120.0514%29 Aug →
grail13–20.0321%29 Aug →
inferno9–10.0917%1 May →
inferno9–50.1110%1 May →
ancient6–13-0.078%9 Mar →
inferno13–10-0.0415%9 Mar →
nuke5–13-0.0314%9 Mar →
nuke13–110.0212%6 Mar →
inferno13–110.0025%6 Mar →
ancient14–160.0020%6 Mar →
ancient13–8-0.0310%24 Feb →
ancient9–13-0.0520%18 Feb →
ancient9–13-0.0219%18 Feb →
train13–11-0.0312%13 Feb →
train13–6-0.0122%12 Feb →
ancient13–6-0.0112%4 Feb →
nuke13–5-0.0210%3 Feb →
ancient13–7-0.0210%1 Feb →
ancient4–13-0.036%1 Feb →
train16–120.0118%28 Jan →
ancient13–2-0.064%27 Jan →
nuke13–40.0314%22 Jan →
ancient13–50.0614%22 Jan →
inferno13–8-0.0517%13 Jan →
dust213–10-0.0314%5 Jan →
nuke13–80.068%4 Jan →
dust213–20.0118%4 Jan →
train10–13-0.0116%15 Nov →
inferno14–16-0.029%11 Sept →
nuke13–80.019%9 Sept →
mirage13–8-0.0416%9 Sept →
ancient13–80.0314%5 Sept →
nuke13–20.0623%5 Sept →
ancient13–110.0220%28 Aug →
ancient4–13-0.0512%26 Aug →
inferno13–40.0324%21 Aug →
inferno13–5-0.0014%19 Aug →
dust213–40.028%12 Aug →
inferno19–22-0.0414%12 Aug →
ancient13–110.0320%12 Aug →
inferno28–26-0.0315%8 Aug →
mirage13–40.0516%7 Aug →
ancient13–4-0.040%7 Aug →
inferno13–70.0322%4 Aug →
inferno13–160.0124%30 Jul →
inferno13–10-0.098%29 Jul →
nuke13–50.0213%18 Jul →
ancient13–2-0.0322%15 Jul →
ancient10–130.0214%22 May →
ancient13–90.0416%15 May →
overpass11–130.0316%29 Apr →
dust213–60.0326%29 Apr →
ancient14–16-0.0212%17 Apr →
ancient13–80.0617%17 Apr →
ancient13–2-0.0113%16 Apr →
anubis8–13-0.0511%8 Mar →
mirage14–16-0.0412%8 Mar →
vertigo13–8-0.0010%8 Mar →
mirage13–9-0.0415%7 Mar →
mirage13–90.0212%28 Feb →
anubis13–20.1716%27 Feb →
nuke11–13-0.0510%26 Feb →
anubis25–28-0.038%20 Feb →
ancient13–11-0.0114%20 Feb →
ancient13–7-0.0213%19 Feb →
overpass13–4-0.0121%15 Feb →
anubis8–130.0319%13 Feb →
anubis13–80.0328%13 Feb →
ancient13–110.0120%12 Feb →
nuke13–11-0.0326%8 Feb →
anubis11–13-0.0113%5 Feb →
ancient13–100.0214%3 Feb →
nuke13–10-0.0122%3 Feb →
overpass8–130.0011%3 Feb →
ancient6–13-0.0729%3 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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