wut

wut — CS2 Stats

CZ76561197980914794[U:1:20649066]Steam profile ↗✓ No bans

538Tracked matches55%Win rate2020Tracked since
4,304Hours in CS72Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating13,527Blue band · top ~36.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 13,527 → 13,527
+2Tracked matches · now 538
+3.4ppWin rate · 51.7% → 55.2%
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. 19 days played since 26 Aug 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: 13,527 +1,683 26 Aug14 Sept · 15 days played
11,07313,626peak 13,62626 Aug14 Sept
13,626Peak Premier in tracked matches
19Days played since 2026-08-26

Premier CS Rating

  • 99 below peak (13,626)
  • Next: Purple band at 15,000 1,473 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

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 Blue band among CSDB-tracked players (n=18,772), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.9%41.9%44.3%2.4% short
Shot accuracy17.8%9.6%11.8%above
Kill/death ratio0.970.981.030.06 short
Match win rate70.1%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGwutPREMIER13,527 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning66
Utility43

0–100 skill scores via Leetify.

Recent form

HOT56422Last 10056%Win rateWLWWWWLWLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +3.3pp headshot accuracy · +29ms 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

  • 41 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 661ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 625ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 611ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim5.9
Utility4.3
Positioning6.6
Opening Duels4.9

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

donk

Plays most like donk 82% 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 600ms 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

Aim5.9
Positioning6.6
Utility4.3
Mechanics4.5
Opening Duels6.6
Win Impact6.7

Composite 5.5/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time586ms−5ms
first ⅓ avg 591ms → last ⅓ avg 586ms
Headshot accuracy16.9%+2.2%
first ⅓ avg 14.7% → last ⅓ avg 16.9%

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

0.33Best match rating · 9–0 · nuke, 28 Aug
29%Best headshot accuracy · 13–10 · cache, 9 Sept
406msFastest reaction time · 13–3 · cache, 12 Sept
13–0Biggest win · inferno, 12 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
118In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 80% over 5ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB22101245%0.02
infernoB189950%0.02
cacheB178947%0.03
dust2A149564%0.02
anubisS107370%0.02
ancientC73443%-0.02
nukeS54180%0.06
train330100%0.05
office220100%0.12
vertigo110100%0.04
overpass1010%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

99,376Lifetime kills
0.97K/D
9,939Matches
70.1%Match win rate · Top 1% of Blue band
41.9%Headshot %
17.8%Shot accuracy · Top 10% of Blue band
9,409MVPs
1,711Hours (in match)
2,929Bombs planted
791Bombs defused

Most-used weapons

AK-4731,262
AWP12,772
P2502,149
P901,844
SSG 081,503
UMP-451,341

Lifetime map wins

9,033dust2
5,219nuke
4,756inferno
2,626train
1,457cbble
375vertigo
240office
126dust

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.6%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.7%Spray accuracy
70.2%Counter-strafing
10.6°Preaim
600msReaction time
67.2%T opening success
45.4%CT opening success
0.43Enemies flashed / flash
2.5%Flash assists
10.82HE damage / grenade
3.13Flashes / 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 0.4332 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–90.0111%15 Sept
cache11–130.0516%15 Sept
anubis13–110.1213%14 Sept
inferno13–11-0.0220%13 Sept
nuke13–70.0323%13 Sept
anubis13–11-0.0221%13 Sept
mirage12–160.0019%12 Sept
dust213–110.0218%12 Sept
mirage7–130.0723%12 Sept
vertigo13–40.0412%12 Sept
cache13–7-0.037%12 Sept
inferno13–10.0719%12 Sept
anubis8–1-0.0812%12 Sept
cache9–13-0.029%12 Sept
cache13–30.0915%12 Sept
inferno13–00.1018%12 Sept
inferno11–13-0.0215%12 Sept
overpass11–130.0713%11 Sept
inferno13–80.0221%11 Sept
cache16–19-0.0114%11 Sept
anubis8–13-0.0117%11 Sept
inferno5–13-0.0118%11 Sept
mirage15–150.0216%11 Sept
cache1–13-0.0314%11 Sept
dust213–20.0922%11 Sept
mirage4–130.0424%11 Sept
ancient16–14-0.0318%11 Sept
mirage7–13-0.0316%11 Sept
anubis22–190.0317%10 Sept
inferno7–130.0419%10 Sept
inferno5–12-0.0125%10 Sept
ancient9–130.0016%10 Sept
nuke16–14-0.0218%9 Sept
cache13–100.0329%9 Sept
mirage3–13-0.094%8 Sept
dust213–70.0219%8 Sept
anubis9–130.0421%8 Sept
dust213–7-0.0317%8 Sept
anubis13–110.0614%7 Sept
mirage13–5-0.0218%7 Sept
inferno9–130.0518%6 Sept
anubis13–10-0.0216%6 Sept
ancient13–6-0.0120%6 Sept
mirage13–10-0.0619%6 Sept
mirage12–00.0713%6 Sept
train13–100.0516%5 Sept
inferno8–10.0216%5 Sept
cache13–60.0818%5 Sept
mirage6–13-0.0011%5 Sept
cache8–130.1017%5 Sept
mirage13–70.1518%5 Sept
inferno13–80.0228%4 Sept
inferno7–130.0517%4 Sept
mirage11–130.0514%4 Sept
inferno13–70.0312%4 Sept
dust213–100.0016%4 Sept
cache7–13-0.0420%4 Sept
inferno16–140.0018%4 Sept
inferno4–13-0.029%4 Sept
office13–30.0520%4 Sept
office13–50.1917%4 Sept
train8–30.0714%4 Sept
inferno13–110.0110%4 Sept
mirage13–40.1618%3 Sept
cache13–110.0115%3 Sept
cache14–160.0719%2 Sept
dust23–130.0520%2 Sept
ancient7–13-0.0113%1 Sept
dust212–160.0318%1 Sept
inferno9–13-0.0012%1 Sept
anubis9–13-0.0211%1 Sept
dust213–60.1322%1 Sept
cache13–30.1013%1 Sept
nuke13–80.028%1 Sept
mirage13–10.0523%30 Aug
nuke5–13-0.0412%30 Aug
mirage0–11-0.129%30 Aug
inferno15–15-0.0011%30 Aug
ancient7–130.0119%30 Aug
anubis13–00.0616%30 Aug
cache13–110.018%30 Aug
cache12–160.0316%29 Aug
mirage13–8-0.0128%29 Aug
dust213–80.029%29 Aug
mirage13–60.0811%29 Aug
cache13–80.0222%29 Aug
train13–70.0210%29 Aug
dust27–13-0.0718%29 Aug
dust210–13-0.0213%29 Aug
cache9–13-0.0416%28 Aug
mirage13–100.067%28 Aug
nuke9–00.3318%28 Aug
dust28–130.0016%28 Aug
mirage7–130.0521%28 Aug
dust213–30.0018%28 Aug
ancient11–13-0.017%28 Aug
dust213–10-0.0219%28 Aug
mirage14–16-0.0212%28 Aug
ancient16–13-0.0912%26 Aug
mirage14–16-0.0018%26 Aug

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 →