washbear

washbear — CS2 Stats

FI76561198048630531[U:1:88364803]Steam profile ↗VAC banned

1,455Tracked matches37%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating12,199Blue band · top ~43.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 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: 12,199 +1,933 6 Jul – 30 Oct · 25 days played
10,26615,634peak 15,6346 Jul30 Oct
15,990Peak Premier in tracked matches
26Days played since 2026-07-06

Premier CS Rating

  • 3,435 below peak (15,634)
  • -451 over 30 days · declining
  • -2,287 over 90 days
  • Next: Purple band at 15,000 — 2,801 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-04
  • Light Blue band first seen 2026-09-04

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

Share this profile

CSDB.GGwashbearFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER12,199 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning55
Utility55

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLLLWLWWLLL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −2.7pp headshot accuracy · +88ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 703ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 652ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 608ms

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 (+0.9 against its own average).

Aim7.5
Utility5.5
Positioning5.5
Opening Duels3.5
Clutch4.0

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 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.5
Positioning5.5
Utility5.5
Mechanics7.5
Opening Duels3.1
Win Impact0.6

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time582ms−93ms
first ⅓ avg 675ms → last ⅓ avg 582ms
Headshot accuracy18.6%−2.1%
first ⅓ avg 20.6% → last ⅓ avg 18.6%

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

0.16Best match rating · 13–7 · nuke, 6 Sept →
36%Best headshot accuracy · 13–2 · dust2, 17 Jul →
406msFastest reaction time · 2–13 · mirage, 30 Aug →
13–2Biggest win · dust2, 17 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
4–14In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 71% over 14anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC229–1341%-0.01
mirageD186–1233%-0.03
cacheB168–850%0.00
infernoS1410–471%-0.01
nukeD133–1023%-0.00
dust2A106–460%-0.01
anubisD61–517%-0.03
boulder—10–10%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

93Matches
48%Win rate
1.15Avg K/D
69.2ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis2955%1.2013.1
Ancient1850%1.2013.4
Nuke1656%1.0313.2
Mirage838%0.9813.9
Inferno757%0.8913.4
Train250%0.488.5
Overpass20%0.8414.5
Dust210%0.609.0

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.

18.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
39.7%Spray accuracy
83.8%Counter-strafing
9.6°Preaim
585msReaction time
30.4%T opening success
54.1%CT opening success
0.56Enemies flashed / flash
9.5%Flash assists
7.75HE damage / grenade
9.93Flashes / 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

    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 30.436% — 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.

17% 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
cache10–13-0.0111%30 Oct →
dust24–13-0.0417%30 Oct →
dust24–13-0.0817%30 Oct →
ancient13–5-0.0211%9 Oct →
nuke3–13-0.1011%9 Oct →
inferno13–11-0.0120%9 Oct →
nuke13–100.0319%9 Oct →
mirage7–13-0.1012%28 Sept →
boulder11–130.0315%28 Sept →
cache4–13-0.0511%19 Sept →
anubis3–13-0.0519%19 Sept →
inferno13–9-0.0413%19 Sept →
nuke11–13-0.0010%19 Sept →
ancient13–8-0.0326%19 Sept →
nuke13–160.0116%14 Sept →
mirage13–160.0119%6 Sept →
nuke13–70.1614%6 Sept →
mirage13–80.0613%6 Sept →
mirage2–13-0.0818%30 Aug →
ancient8–130.0222%30 Aug →
ancient9–13-0.0428%30 Aug →
inferno6–130.0028%30 Aug →
mirage8–13-0.0218%30 Aug →
anubis7–13-0.0327%30 Aug →
anubis13–50.0433%26 Aug →
ancient10–13-0.0422%25 Aug →
inferno13–7-0.0113%25 Aug →
ancient13–9-0.0229%12 Aug →
dust28–13-0.0422%12 Aug →
inferno13–30.0623%12 Aug →
mirage13–100.0020%11 Aug →
cache15–150.0419%11 Aug →
anubis15–150.0218%11 Aug →
nuke10–13-0.0117%11 Aug →
cache4–130.0517%7 Aug →
mirage9–13-0.0217%7 Aug →
cache13–100.0215%7 Aug →
ancient7–13-0.1012%7 Aug →
ancient7–130.0019%7 Aug →
cache13–90.0320%6 Aug →
inferno13–70.0616%6 Aug →
ancient5–13-0.0311%6 Aug →
anubis3–13-0.0523%6 Aug →
cache11–13-0.078%6 Aug →
dust216–13-0.0219%6 Aug →
mirage11–13-0.0515%30 Jul →
mirage11–130.0015%30 Jul →
cache9–13-0.0130%30 Jul →
inferno13–4-0.0119%30 Jul →
inferno11–13-0.0125%29 Jul →
ancient13–10-0.0119%29 Jul →
ancient13–7-0.0614%29 Jul →
ancient8–13-0.0422%27 Jul →
cache13–60.0117%25 Jul →
ancient13–90.0418%25 Jul →
anubis8–13-0.1013%24 Jul →
dust28–13-0.0516%24 Jul →
nuke6–13-0.049%24 Jul →
cache10–13-0.0122%24 Jul →
ancient15–150.0111%24 Jul →
nuke8–130.0524%24 Jul →
dust213–90.0633%24 Jul →
mirage11–13-0.0513%22 Jul →
inferno13–5-0.0214%22 Jul →
dust213–80.0621%22 Jul →
ancient8–130.0018%21 Jul →
nuke5–9-0.0525%21 Jul →
cache13–4-0.0621%20 Jul →
inferno13–50.0219%20 Jul →
mirage16–14-0.0515%20 Jul →
nuke5–13-0.0516%20 Jul →
mirage3–13-0.0819%19 Jul →
mirage11–130.0021%19 Jul →
nuke7–13-0.0323%19 Jul →
mirage13–8-0.0821%19 Jul →
inferno13–11-0.0417%19 Jul →
nuke6–13-0.0027%19 Jul →
ancient13–60.1221%19 Jul →
ancient14–16-0.0419%19 Jul →
cache13–90.0431%19 Jul →
mirage9–13-0.0221%19 Jul →
ancient13–5-0.027%19 Jul →
ancient13–60.1330%19 Jul →
ancient6–130.0222%17 Jul →
cache13–70.0526%17 Jul →
nuke13–110.0224%17 Jul →
dust213–20.0736%17 Jul →
cache11–13-0.0528%17 Jul →
cache13–90.0117%17 Jul →
mirage13–8-0.037%17 Jul →
inferno11–13-0.038%17 Jul →
ancient11–13-0.0220%17 Jul →
inferno13–7-0.0222%16 Jul →
ancient11–13-0.0517%16 Jul →
mirage13–40.0323%14 Jul →
cache13–80.0430%14 Jul →
dust213–6-0.0425%6 Jul →
dust213–4-0.049%6 Jul →
inferno11–13-0.0713%6 Jul →
mirage5–13-0.0324%6 Jul →

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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