umysłowy taboret

umysłowy taboret — CS2 Stats

76561198748624204[U:1:788358476]Steam profile ↗✓ No bans

412Tracked matches53%Win rate2026Tracked since
832Hours in CS38Hrs last 2 wks
CSDB Rating5.5 SolidAll-Rounder
Premier CS Rating9,672Light Blue band · top ~56.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 412 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 29 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 9,672 +1,771 1 Jul16 Sept · 14 days played
7,3859,999peak 9,9991 Jul16 Sept
9,999Peak Premier in tracked matches
41Days played since 2026-06-29

Premier CS Rating

  • 327 below peak (9,999)
  • +1,437 over 30 days · improving
  • +1,771 over 90 days
  • Next: Blue band at 10,000 328 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-16

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.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=11,988), 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 rate56.1%42.7%43.8%above
Shot accuracy0.0%11.2%12.0%12.0% short
Kill/death ratio0.590.991.020.43 short
Match win rate24.9%43.9%44.7%19.8% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGumysłowy taboretFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,672 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning49
Utility48

0–100 skill scores via Leetify.

Recent form

HOT50455Last 10050%Win rateWLLWWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −2.6pp headshot accuracy · −72ms reaction

Win rate up 20pp 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

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 545ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 553ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 589ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim7.5
Utility4.8
Positioning4.9
Opening Duels3.5
Clutch4.2

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

jL

Plays most like jL 98% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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. 588ms 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
Positioning4.9
Utility4.8
Mechanics7.4
Opening Duels3.9
Win Impact6.1

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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time588ms−105ms
first ⅓ avg 693ms → last ⅓ avg 588ms
Headshot accuracy16.5%−1.2%
first ⅓ avg 17.7% → last ⅓ avg 16.5%

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 · 13–5 · dust2, 13 Sept
39%Best headshot accuracy · 12–12 · nuke, 16 Aug
422msFastest reaction time · 13–7 · inferno, 14 Sept
13–1Biggest win · train, 14 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
98In matches decided by ≤2 rounds
15Overtime games

Map breakdown

vertigoBest map · 83% over 6trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA2012860%-0.00
cacheC167944%-0.02
ancientB157847%0.00
mirageC104640%0.00
infernoC73443%-0.04
trainD72529%0.01
dust2C73443%-0.01
vertigoS65183%-0.01
anubisA53260%0.04
office31233%-0.03
boulder220100%-0.00
shelter110100%-0.02
fachwerk1010%-0.11

Across the last 100 tracked matches.

Lifetime stats

28,792Lifetime kills
0.59K/D
1,731Matches
24.9%Match win rate
56.1%Headshot % · Top 10% of Level 4 players
0.0%Shot accuracy
2,205MVPs
498Hours (in match)
460Bombs planted
217Bombs defused

Most-used weapons

Lifetime map wins

1,093nuke
966dust2
923inferno
364vertigo
210train
189office
96safehouse
17ar_shoots

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

Faceit stats

Combat

31Matches
45%Win rate
0.79Avg K/D
61.3ADR
40%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1060%0.819.9
Cache633%0.7411.0
Dust2425%0.6610.3
Ancient450%0.8517.0
Inferno333%0.8617.0
Vertigo367%0.6512.3
Mirage10%1.3822.0

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.

17.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.6%Spray accuracy
83.3%Counter-strafing
8.2°Preaim
588msReaction time
43.5%T opening success
47.8%CT opening success
0.48Enemies flashed / flash
3.3%Flash assists
7.19HE damage / grenade
7.57Flashes / 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 0.4833 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
vertigo13–3-0.0120%16 Sept
ancient12–16-0.0519%16 Sept
cache8–13-0.0523%15 Sept
inferno13–7-0.0114%14 Sept
boulder13–100.0220%14 Sept
train13–10.0310%14 Sept
vertigo13–100.0431%14 Sept
nuke13–7-0.027%14 Sept
dust213–50.1717%13 Sept
train5–130.0221%12 Sept
vertigo13–7-0.0012%12 Sept
nuke13–50.0821%12 Sept
nuke3–13-0.0721%10 Sept
ancient13–110.0222%10 Sept
office13–30.0330%30 Aug
mirage7–13-0.0223%30 Aug
office4–13-0.0324%25 Aug
dust25–13-0.0921%25 Aug
mirage13–2-0.0023%24 Aug
train7–130.0111%24 Aug
ancient9–130.0016%24 Aug
cache14–16-0.0615%23 Aug
nuke4–13-0.1010%22 Aug
vertigo14–16-0.0614%22 Aug
dust28–13-0.0512%22 Aug
shelter13–6-0.0210%20 Aug
cache13–60.0221%20 Aug
inferno6–13-0.0010%20 Aug
cache13–11-0.0412%19 Aug
vertigo16–14-0.0611%17 Aug
cache13–9-0.0014%17 Aug
nuke7–13-0.073%16 Aug
ancient17–19-0.007%16 Aug
nuke13–20.0724%16 Aug
nuke12–120.1639%16 Aug
nuke13–60.0220%16 Aug
train11–13-0.0730%15 Aug
office4–13-0.0917%15 Aug
ancient13–80.0118%15 Aug
ancient0–13-0.120%14 Aug
nuke13–6-0.0338%14 Aug
mirage13–60.0918%14 Aug
cache13–9-0.0126%14 Aug
ancient11–130.0413%14 Aug
train13–20.0523%14 Aug
ancient11–13-0.0615%13 Aug
vertigo13–8-0.0028%13 Aug
mirage13–10-0.0213%13 Aug
cache10–130.0216%13 Aug
ancient16–14-0.0313%12 Aug
train7–130.0411%12 Aug
cache7–130.0113%11 Aug
cache16–140.0429%11 Aug
cache13–11-0.0514%10 Aug
inferno17–19-0.0412%10 Aug
nuke19–16-0.0623%10 Aug
cache8–13-0.0119%10 Aug
cache13–9-0.007%8 Aug
inferno8–13-0.0515%8 Aug
cache9–13-0.0219%8 Aug
mirage10–13-0.1026%8 Aug
anubis13–70.1323%7 Aug
mirage12–120.1015%7 Aug
cache4–13-0.1111%6 Aug
nuke13–8-0.0112%6 Aug
dust216–14-0.0212%6 Aug
nuke6–13-0.1313%5 Aug
dust213–9-0.0518%5 Aug
cache10–13-0.0515%5 Aug
anubis7–130.0820%5 Aug
nuke16–14-0.0218%4 Aug
nuke16–12-0.0313%3 Aug
nuke13–160.0015%2 Aug
nuke12–120.1733%2 Aug
dust211–130.0417%1 Aug
ancient13–90.1122%1 Aug
fachwerk12–12-0.1122%31 Jul
boulder13–6-0.0310%31 Jul
inferno13–10-0.0315%30 Jul
nuke13–50.0113%30 Jul
ancient13–8-0.039%30 Jul
nuke6–13-0.028%30 Jul
inferno13–6-0.096%29 Jul
nuke13–110.028%29 Jul
cache8–130.0433%27 Jul
ancient13–160.0219%26 Jul
anubis10–13-0.0124%26 Jul
ancient4–130.0529%25 Jul
ancient13–80.0422%22 Jul
mirage13–90.0024%9 Jul
anubis13–70.0011%9 Jul
inferno5–9-0.0515%5 Jul
mirage1–40.0114%3 Jul
train12–12-0.0319%3 Jul
mirage13–16-0.0413%1 Jul
nuke13–50.0122%1 Jul
anubis13–3-0.0218%1 Jul
dust24–13-0.0516%1 Jul
mirage5–10-0.0224%1 Jul
ancient13–90.0823%29 Jun

Match data via Leetify.

Recent teammates

Milestones

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