Cali #Washed

Cali #Washed — CS2 Stats

DE76561198080050733[U:1:119785005]Steam profile ↗VAC banned

982Tracked matches50%Win rate2020Tracked since
4,098Hours in CS90Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating17,737Purple band · top ~17.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,737 -232 22 Oct – 29 Oct · 4 days played
17,73718,280peak 18,28022 Oct29 Oct
18,381Peak Premier in tracked matches
17Days played since 2026-10-18

Premier CS Rating

  • 543 below peak (18,280)
  • Next: Pink band at 20,000 — 2,263 to go
  • Reached: Purple band · Blue band · Light Blue band

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate46.1%42.7%43.8%above
Shot accuracy14.4%11.2%12.0%above
Kill/death ratio1.010.991.02meets
Match win rate43.7%43.9%44.7%1.0% short

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCali #WashedFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,737 · Purple bandcsdb.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

Aim67
Positioning61
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateWLLLLWWWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · +5.5pp headshot accuracy · +15ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 30%
  • Avg reaction 684ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 688ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 681ms

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).

Aim6.7
Utility5.0
Positioning6.1
Opening Duels4.2
Clutch2.8

Limited utility dependence

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

m0NESY

Plays most like m0NESY 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 661ms 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

Aim6.7
Positioning6.1
Utility5.0
Mechanics7.4
Opening Duels6.1
Win Impact5.0

Composite 6.2/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time667ms−8ms
first ⅓ avg 676ms → last ⅓ avg 667ms
Headshot accuracy20.8%+2.4%
first ⅓ avg 18.4% → last ⅓ avg 20.8%

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 · 13–5 · dust2, 25 Oct →
43%Best headshot accuracy · 6–13 · cache, 2 Nov →
438msFastest reaction time · 12–12 · dust2, 27 Oct →
13–1Biggest win · anubis, 26 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 70% over 27mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S2719–870%0.02
cacheB2312–1152%0.00
infernoC198–1142%0.00
anubisD124–833%0.00
ancientS107–370%-0.00
mirageD71–614%0.02
nuke—21–150%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

95,609Lifetime kills
1.01K/D · Top 50% of Level 4 players
4,736Matches
43.7%Match win rate
46.1%Headshot % · Top 50% of Level 4 players
14.4%Shot accuracy · Top 50% of Level 4 players
9,935MVPs
2,177Hours (in match)
3,672Bombs planted
1,299Bombs defused

Most-used weapons

AK-4724,893
AWP12,146
FAMAS2,428
P2502,045
MAC-101,561
MP71,548

Lifetime map wins

11,221dust2
10,013inferno
1,026nuke
681cbble
439train
173vertigo
42office
34aztec

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

Faceit stats

Combat

610Matches
49%Win rate
0.99Avg K/D
68.2ADR
46%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust24252%1.1013.9
Ancient2959%0.8912.5
Inferno2638%0.7611.6
Anubis2650%0.8511.8
Mirage2417%0.8313.6
Nuke2255%0.8111.9
Cache978%1.0618.3
Vertigo367%1.4716.0

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.

20.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
29.5%Spray accuracy
83.3%Counter-strafing
8.3°Preaim
661msReaction time
59.7%T opening success
49.1%CT opening success
0.48Enemies flashed / flash
3.8%Flash assists
12.45HE damage / grenade
3.44Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4778 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0221%3 Nov →
dust26–13-0.0121%2 Nov →
cache6–13-0.0743%2 Nov →
inferno9–130.0236%2 Nov →
anubis7–13-0.0328%2 Nov →
dust213–4-0.0229%2 Nov →
anubis13–60.0626%1 Nov →
ancient13–30.0717%1 Nov →
mirage11–130.0313%1 Nov →
inferno13–80.0213%1 Nov →
cache2–13-0.0911%1 Nov →
dust213–100.0629%31 Oct →
mirage16–19-0.0323%31 Oct →
ancient13–50.0318%31 Oct →
dust213–5-0.0116%31 Oct →
cache10–13-0.0220%31 Oct →
ancient16–14-0.0314%31 Oct →
mirage11–130.0119%30 Oct →
inferno13–50.0530%30 Oct →
nuke11–13-0.0912%30 Oct →
dust213–40.1416%30 Oct →
anubis9–13-0.0028%30 Oct →
cache10–130.0718%30 Oct →
anubis10–130.0224%29 Oct →
cache8–13-0.0414%29 Oct →
inferno13–8-0.0010%29 Oct →
dust213–110.0118%29 Oct →
inferno8–13-0.0427%29 Oct →
ancient13–40.0821%29 Oct →
dust213–30.0516%29 Oct →
dust213–80.0212%28 Oct →
dust213–4-0.0629%28 Oct →
dust213–6-0.0218%28 Oct →
cache13–80.0628%27 Oct →
inferno13–70.0115%27 Oct →
dust212–120.0323%27 Oct →
anubis12–16-0.0320%27 Oct →
cache5–13-0.0522%27 Oct →
anubis3–13-0.0323%27 Oct →
inferno10–130.0825%27 Oct →
dust213–70.0831%27 Oct →
ancient13–8-0.0814%27 Oct →
dust24–13-0.085%27 Oct →
dust213–80.0419%27 Oct →
cache13–11-0.0213%26 Oct →
inferno13–9-0.0221%26 Oct →
anubis13–10.0511%26 Oct →
dust213–80.0419%26 Oct →
cache11–13-0.0414%26 Oct →
inferno3–130.0121%26 Oct →
dust213–50.1513%25 Oct →
inferno3–13-0.0323%25 Oct →
cache13–90.1117%25 Oct →
cache5–13-0.0223%25 Oct →
anubis6–13-0.0812%25 Oct →
nuke13–11-0.0614%25 Oct →
dust27–13-0.0114%25 Oct →
inferno4–13-0.0510%25 Oct →
dust213–4-0.026%25 Oct →
cache6–130.1125%24 Oct →
cache13–100.0217%24 Oct →
inferno5–13-0.0713%24 Oct →
ancient13–90.0333%24 Oct →
cache13–16-0.0619%24 Oct →
inferno13–6-0.0011%24 Oct →
cache13–30.0519%23 Oct →
inferno12–5-0.0416%23 Oct →
anubis13–50.0619%23 Oct →
cache13–8-0.0118%23 Oct →
dust213–110.0325%23 Oct →
inferno4–130.1034%23 Oct →
ancient13–6-0.0417%23 Oct →
ancient9–130.0025%22 Oct →
dust211–13-0.039%22 Oct →
anubis16–140.0425%22 Oct →
cache13–10-0.0231%22 Oct →
dust26–13-0.0416%22 Oct →
dust25–130.0121%21 Oct →
mirage8–130.0228%21 Oct →
cache13–10.023%21 Oct →
cache13–6-0.0312%21 Oct →
ancient6–13-0.067%21 Oct →
cache13–40.0421%20 Oct →
dust213–60.0811%20 Oct →
mirage13–90.0316%20 Oct →
inferno6–130.0414%20 Oct →
mirage11–130.0320%20 Oct →
anubis4–13-0.0317%20 Oct →
cache6–13-0.0325%20 Oct →
dust24–13-0.0631%20 Oct →
inferno13–50.0420%20 Oct →
ancient7–13-0.0311%19 Oct →
dust213–80.1025%19 Oct →
cache13–60.0219%19 Oct →
anubis4–130.0214%19 Oct →
mirage11–130.0217%19 Oct →
dust213–60.0211%19 Oct →
inferno11–13-0.0415%19 Oct →
inferno12–12-0.0615%18 Oct →
cache13–30.0417%18 Oct →

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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