wasted

wasted — CS2 Stats

DE76561198294423213[U:1:334157485]Steam profile ↗✓ No bans

564Tracked matches50%Win rate2021Tracked since
913Hours in CS19Hrs last 2 wks
CSDB Rating3.9 LearningPositional Player
Premier CS Rating14,602Blue band · top ~30.5% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+33Premier CS Rating · 14,569 → 14,602
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. 35 days played since 30 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 14,602 +2,244 14 Aug22 Sept · 22 days played
12,35815,000peak 15,00014 Aug22 Sept
15,118Peak Premier in tracked matches
35Days played since 2026-07-30

Premier CS Rating

  • 398 below peak (15,000)
  • -397 over 30 days · steady
  • Next: Purple band at 15,000 398 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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches21
Win rate38%
K/D0.88
Headshot %39%

Measured 15 Sep 202622 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=20,829), 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 rate33.6%41.9%44.3%10.7% short
Shot accuracy9.7%9.6%11.8%2.2% short
Kill/death ratio1.060.981.03above
Match win rate41.1%43.8%45.2%4.1% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGwastedPREMIER14,602 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning54
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateWLLWWLWWWL

Last 10 vs previous 10: +40pp win rate · +0.00 avg rating · +2.1pp headshot accuracy · +152ms reaction

Win rate up 40pp 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 13%
  • Avg reaction 586ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 634ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 558ms

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 (+2.9 against its own average).

Aim4.6
Utility1.4
Positioning5.4
Opening Duels3.3
Clutch0.0

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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 56% on T to 40% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning5.4
Utility1.4
Mechanics3.2
Opening Duels4.6
Win Impact5.0

Composite 3.9/10 (Learning), 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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time544ms+8ms
first ⅓ avg 536ms → last ⅓ avg 544ms
Headshot accuracy12.1%+4.1%
first ⅓ avg 8.0% → last ⅓ avg 12.1%

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

0.26Best match rating · 9–3 · inferno, 14 Aug
45%Best headshot accuracy · 8–8 · inferno, 15 Sept
328msFastest reaction time · 8–8 · vertigo, 17 Sept
13–0Biggest win · cache, 19 Aug

Across the last 100 tracked matches.

Highlights

6Longest win streak
74In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoC33132039%0.02
nukeA1811761%-0.00
anubisA138562%0.00
cacheA127558%0.01
ancientD92722%-0.01
vertigoD72529%-0.02
mirage32167%0.00
dust22020%-0.09
overpass21150%0.07
debris1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,890Lifetime kills
1.06K/D · Top 50% of Blue band
1,992Matches
41.1%Match win rate
33.6%Headshot %
9.7%Shot accuracy · Top 50% of Blue band
5,357MVPs
482Hours (in match)
1,801Bombs planted
344Bombs defused

Most-used weapons

Lifetime map wins

3,853inferno
1,233vertigo
813nuke
600dust2
293cbble
216train
45lake
38safehouse

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

Faceit stats

Combat

6Matches
17%Win rate
0.70Avg K/D
61.5ADR
37%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage30%0.8212.0
Ancient10%0.386.0
Inferno10%0.8612.0
Cache1100%0.5310.0

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.

9.4%Headshot accuracy
32.4%Accuracy (enemy spotted)
38.1%Spray accuracy
64.4%Counter-strafing
10.1°Preaim
549msReaction time
56.3%T opening success
40.1%CT opening success
0.26Enemies flashed / flash
0.0%Flash assists
6.72HE damage / grenade
1.20Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.4243% — below the 15% mark we flag

    Aim Training
  2. 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 0.2624 — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–70.006%22 Sept
ancient2–13-0.025%22 Sept
inferno5–90.0611%21 Sept
inferno9–50.0729%21 Sept
nuke13–9-0.0114%21 Sept
inferno5–9-0.0519%20 Sept
ancient13–9-0.019%20 Sept
mirage13–9-0.0217%20 Sept
anubis13–11-0.0311%19 Sept
cache7–13-0.0523%18 Sept
anubis6–130.027%18 Sept
nuke5–9-0.0527%17 Sept
vertigo8–80.0315%17 Sept
cache13–60.0210%17 Sept
ancient9–13-0.0215%17 Sept
inferno4–9-0.046%16 Sept
mirage5–13-0.0611%16 Sept
inferno7–13-0.035%16 Sept
anubis13–70.165%16 Sept
inferno6–9-0.1121%15 Sept
inferno8–80.0245%15 Sept
anubis2–13-0.084%15 Sept
anubis13–80.035%14 Sept
vertigo1–90.0011%14 Sept
nuke11–13-0.049%14 Sept
ancient4–13-0.057%12 Sept
inferno9–13-0.026%12 Sept
inferno5–9-0.023%12 Sept
inferno4–9-0.029%5 Sept
vertigo4–9-0.053%5 Sept
vertigo9–60.1318%5 Sept
inferno9–4-0.060%5 Sept
inferno9–30.1113%5 Sept
nuke5–13-0.100%4 Sept
anubis13–2-0.0311%4 Sept
ancient13–110.099%4 Sept
inferno13–110.039%4 Sept
anubis2–13-0.0615%4 Sept
cache13–8-0.015%1 Sept
ancient6–13-0.0314%31 Aug
ancient14–16-0.0410%30 Aug
inferno9–40.0212%29 Aug
inferno4–9-0.1210%29 Aug
vertigo9–7-0.0011%29 Aug
vertigo3–9-0.1710%29 Aug
vertigo2–9-0.076%29 Aug
inferno6–9-0.0915%29 Aug
inferno9–60.1215%29 Aug
inferno5–90.0710%29 Aug
anubis3–13-0.056%28 Aug
nuke13–3-0.0119%25 Aug
cache13–8-0.0010%24 Aug
nuke13–10.085%24 Aug
inferno13–70.0313%24 Aug
inferno6–130.0013%21 Aug
mirage13–70.089%21 Aug
nuke13–30.068%21 Aug
inferno13–60.029%21 Aug
nuke13–90.049%21 Aug
cache13–6-0.049%21 Aug
nuke13–60.028%21 Aug
cache7–13-0.039%20 Aug
inferno7–13-0.0212%20 Aug
ancient2–13-0.0420%20 Aug
nuke10–13-0.0812%20 Aug
nuke13–80.006%20 Aug
dust27–13-0.108%19 Aug
anubis13–100.029%19 Aug
cache13–00.126%19 Aug
inferno10–130.0011%18 Aug
nuke16–140.0612%18 Aug
inferno6–130.023%17 Aug
cache13–30.0716%17 Aug
cache5–13-0.054%16 Aug
inferno13–80.0110%16 Aug
nuke13–110.045%16 Aug
inferno11–130.014%16 Aug
cache13–100.046%15 Aug
anubis13–100.0612%15 Aug
nuke13–60.0011%14 Aug
inferno9–13-0.016%14 Aug
anubis13–30.053%14 Aug
nuke13–20.032%14 Aug
dust25–13-0.0813%14 Aug
inferno9–30.2611%14 Aug
inferno9–30.135%14 Aug
overpass7–130.054%14 Aug
nuke8–130.046%14 Aug
inferno9–60.139%14 Aug
debris6–9-0.0721%14 Aug
inferno13–110.098%13 Aug
nuke4–13-0.094%11 Aug
nuke6–13-0.0610%11 Aug
inferno12–120.067%5 Aug
inferno14–160.018%4 Aug
anubis9–13-0.0410%3 Aug
ancient15–150.007%3 Aug
overpass13–30.0913%2 Aug
cache10–130.057%1 Aug
cache10–13-0.003%30 Jul

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 →