palé

palé — CS2 Stats

76561198038334241[U:1:78068513]Steam profile ↗✓ No bans

1,513Tracked matches54%Win rate2020Tracked since
4,397Hours in CS9Hrs last 2 wks
CSDB Rating5.9 SolidSupport
CSDB Leaderboard#61643 of 257810 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,576 +3,042 24 May – 24 Sept · 29 days played
18,41021,848peak 21,84824 May24 Sept
21,955Peak Premier in tracked matches
38Days played since 2026-05-24

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

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 rate58.7%48.2%50.9%above
Shot accuracy18.1%13.2%13.7%above
Kill/death ratio0.981.071.090.11 short
Match win rate45.1%46.9%48.4%3.3% 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.GGpaléFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim72
Positioning54
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLLTWWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · +5.5pp headshot accuracy · +43ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 29%
  • Avg reaction 523ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 621ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 600ms

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 (+1.3 against its own average).

Aim7.2
Utility5.4
Positioning5.4
Opening Duels2.2
Clutch3.6

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 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Reaction time. 608ms 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

Aim7.2
Positioning5.4
Utility5.4
Mechanics6.6
Opening Duels2.3
Win Impact6.2

Composite 5.9/10 (Solid), 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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time606ms+3ms
first ⅓ avg 603ms → last ⅓ avg 606ms
Headshot accuracy24.4%+1.2%
first ⅓ avg 23.2% → last ⅓ avg 24.4%

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

0.15Best match rating · 13–1 · inferno, 5 Jun →
45%Best headshot accuracy · 13–5 · inferno, 17 Jul →
453msFastest reaction time · 4–13 · ancient, 13 Sept →
13–1Biggest win · inferno, 5 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–10In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 68% over 19infernoWeakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
infernoC249–1538%0.01
nukeA2213–959%0.01
mirageS1913–668%0.01
overpassA95–456%0.01
anubisC83–538%0.00
ancientC83–538%-0.02
cacheC73–443%-0.03
dust2—31–233%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

128,999Lifetime kills
0.98K/D
5,000Matches
45.1%Match win rate
58.7%Headshot % · Top 25% of Level 9 players
18.1%Shot accuracy · Top 25% of Level 9 players
12,360MVPs
3,675Hours (in match)
5,897Bombs planted
1,533Bombs defused

Most-used weapons

AK-4752,420
AWP9,533
P2502,281
MP92,143
FAMAS1,873

Lifetime map wins

16,538nuke
9,332inferno
5,518dust2
1,666train
1,384vertigo
830cbble
142office
135lake

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

Faceit stats

Combat

535Matches
53%Win rate
1.02Avg K/D
64.7ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2348%0.9413.3
Nuke2070%1.0714.7
Mirage1662%0.9715.3
Anubis1338%0.9611.9
Cache1070%0.7910.4
Overpass875%1.4515.8
Ancient838%0.7711.8
Dust2633%0.8012.2

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.

25.0%Headshot accuracy
34.5%Accuracy (enemy spotted)
38.1%Spray accuracy
79.9%Counter-strafing
11.5°Preaim
608msReaction time
44.6%T opening success
33.8%CT opening success
0.53Enemies flashed / flash
8.0%Flash assists
8.69HE damage / grenade
9.96Flashes / 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 33.7511% — 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.

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0735%22 Oct →
mirage3–13-0.0620%24 Sept →
cache15–15-0.0118%16 Sept →
mirage13–90.0337%16 Sept →
nuke16–140.0034%13 Sept →
cache11–13-0.0415%13 Sept →
anubis13–40.0729%13 Sept →
ancient13–4-0.0324%13 Sept →
inferno13–100.0328%13 Sept →
mirage13–2-0.0141%13 Sept →
ancient4–130.0130%13 Sept →
inferno15–150.0030%13 Sept →
cache13–8-0.0514%1 Sept →
nuke13–8-0.0019%30 Aug →
inferno5–13-0.0227%30 Aug →
overpass2–9-0.157%30 Aug →
nuke6–13-0.0133%29 Aug →
inferno1–13-0.0915%29 Aug →
inferno16–120.0434%18 Aug →
anubis6–13-0.0816%15 Aug →
nuke3–13-0.0827%11 Aug →
inferno3–13-0.0113%11 Aug →
mirage13–110.0321%11 Aug →
nuke11–13-0.0027%8 Aug →
anubis6–13-0.0123%7 Aug →
cache13–8-0.0021%31 Jul →
anubis13–9-0.0427%30 Jul →
ancient16–14-0.0519%30 Jul →
anubis13–110.0321%30 Jul →
inferno10–130.0426%28 Jul →
nuke13–80.0526%28 Jul →
inferno10–13-0.0222%22 Jul →
nuke5–13-0.0129%22 Jul →
inferno15–150.0329%18 Jul →
mirage13–8-0.0510%18 Jul →
nuke13–40.0135%18 Jul →
inferno13–60.0329%17 Jul →
inferno13–50.0245%17 Jul →
inferno1–9-0.0218%16 Jul →
inferno3–13-0.0738%16 Jul →
nuke8–130.0213%16 Jul →
cache13–4-0.0138%16 Jul →
mirage12–16-0.0421%14 Jul →
cache11–13-0.0533%14 Jul →
mirage6–130.0442%14 Jul →
nuke15–15-0.0222%14 Jul →
inferno13–40.0530%12 Jul →
cache10–13-0.0310%12 Jul →
nuke13–40.0131%11 Jul →
inferno4–13-0.0219%28 Jun →
ancient13–10-0.0816%28 Jun →
overpass13–10-0.0821%28 Jun →
mirage13–11-0.0618%11 Jun →
overpass13–90.0325%11 Jun →
anubis14–160.0031%10 Jun →
nuke13–60.0528%10 Jun →
inferno7–4-0.0413%10 Jun →
overpass10–13-0.0336%10 Jun →
mirage13–100.0228%10 Jun →
nuke13–60.0220%7 Jun →
mirage13–100.0224%7 Jun →
mirage10–13-0.0325%7 Jun →
nuke13–50.0522%5 Jun →
inferno13–10.1527%5 Jun →
mirage13–100.0624%5 Jun →
mirage13–50.0325%4 Jun →
inferno16–120.0228%4 Jun →
inferno7–13-0.0212%2 Jun →
nuke11–13-0.0224%2 Jun →
overpass13–40.0417%2 Jun →
inferno13–70.0726%2 Jun →
ancient15–150.0121%1 Jun →
inferno1–13-0.0532%1 Jun →
mirage13–80.0727%31 May →
anubis11–130.0722%31 May →
overpass13–90.1217%31 May →
nuke15–150.0024%30 May →
inferno15–150.0125%30 May →
ancient13–16-0.0124%29 May →
dust214–160.0427%29 May →
ancient11–130.0025%29 May →
inferno4–13-0.0230%29 May →
mirage16–14-0.0222%29 May →
mirage13–60.0941%29 May →
overpass5–130.0218%29 May →
overpass13–100.0721%28 May →
nuke13–70.0822%28 May →
nuke13–20.0928%28 May →
mirage3–130.0327%28 May →
nuke13–50.0521%27 May →
nuke13–60.0319%27 May →
overpass6–130.0625%27 May →
mirage8–13-0.0127%27 May →
mirage13–30.0824%26 May →
inferno11–130.0319%26 May →
dust213–50.0822%26 May →
ancient10–13-0.0125%26 May →
anubis11–13-0.0222%26 May →
nuke13–50.0115%25 May →
dust27–13-0.0317%24 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 →

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