zeroCares

zeroCares — CS2 Stats

76561199723491984[U:1:1763226256]Steam profile ↗✓ No bans

145Tracked matches64%Win rate2025Tracked since
CSDB Rating6.5 SolidAll-Rounder
Premier CS Rating17,643Purple band · top ~17.9% of ranked players (population est.)
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Jul 2026 (121 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: 17,643 +1,309 3 Mar – 1 Jul · 8 days played
16,33418,197peak 18,1973 Mar1 Jul
18,197Peak Premier in tracked matches
28Days played since 2026-03-03

Premier CS Rating

  • 554 below peak (18,197)
  • Next: Pink band at 20,000 — 2,357 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.

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CSDB.GGzeroCaresPREMIER17,643 · Purple bandcsdb.gg/stats

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Performance scores

Aim90
Positioning56
Utility37

0–100 skill scores via Leetify.

Recent form

COLD40–52–8Last 10040%Win rateWWWLLLLLLT

Last 10 vs previous 10: −20pp win rate · −0.11 avg rating · −12.4pp headshot accuracy · +122ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 580ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 599ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 537ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim9.0
Utility3.7
Positioning5.6
Opening Duels5.3

Sharp aimer

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 90% 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

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

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

Aim9.0
Positioning5.6
Utility3.7
Mechanics4.6
Opening Duels4.4
Win Impact9.8

Composite 6.5/10 (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 rating0.07+0.06
first ⅓ avg 0.00 → last ⅓ avg 0.07
Reaction time513ms−196ms
first ⅓ avg 708ms → last ⅓ avg 513ms
Headshot accuracy28.6%−1.3%
first ⅓ avg 30.0% → last ⅓ avg 28.6%

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

0.41Best match rating · 13–5 · mirage, 24 Jun →
68%Best headshot accuracy · 13–3 · mirage, 23 Jun →
242msFastest reaction time · 13–6 · mirage, 21 Jun →
13–0Biggest win · dust2, 1 Jul →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W3Current streak
4–4In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 57% over 21infernoWeakest map · 21% over 19
MapGradePlayedRecordWin rateAvg rating
mirageB3216–1650%0.04
dust2A2112–957%0.05
anubisD206–1430%-0.04
infernoD194–1521%-0.04
office—40–40%-0.05
nuke—32–167%0.11
ancient—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (21% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

30.7%Headshot accuracy
40.3%Accuracy (enemy spotted)
33.6%Spray accuracy
70.9%Counter-strafing
8.6°Preaim
488msReaction time
43.1%T opening success
52.1%CT opening success
0.38Enemies flashed / flash
3.9%Flash assists
7.99HE damage / grenade
8.67Flashes / 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 0.377 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

21% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–50.0216%27 Jul →
dust213–9-0.0115%27 Jul →
mirage11–80.0318%27 Jul →
mirage11–130.0432%9 Jul →
mirage6–130.0217%9 Jul →
dust22–13-0.0321%9 Jul →
office3–13-0.1014%9 Jul →
office3–13-0.0217%9 Jul →
office0–13-0.0525%9 Jul →
office12–12-0.0414%8 Jul →
dust213–0-0.0310%1 Jul →
mirage3–130.0410%1 Jul →
mirage13–90.1743%1 Jul →
dust27–130.0828%1 Jul →
ancient0–13-0.039%1 Jul →
mirage12–120.2534%25 Jun →
mirage13–60.1839%25 Jun →
dust213–80.1644%25 Jun →
nuke6–120.1367%24 Jun →
dust213–100.0430%24 Jun →
mirage13–50.4138%24 Jun →
dust213–20.1665%23 Jun →
mirage13–80.1560%23 Jun →
mirage13–30.0468%23 Jun →
dust213–00.0432%23 Jun →
dust213–11-0.0018%23 Jun →
mirage13–60.1326%22 Jun →
dust213–20.1115%21 Jun →
mirage13–60.2750%21 Jun →
mirage13–110.1735%21 Jun →
mirage10–130.0227%21 Jun →
mirage13–7-0.078%20 Jun →
dust24–13-0.080%20 Apr →
inferno7–9-0.1313%24 Mar →
anubis13–9-0.0320%24 Mar →
dust28–13-0.0525%22 Mar →
mirage4–130.0313%22 Mar →
anubis3–13-0.0933%20 Mar →
anubis13–30.0412%20 Mar →
dust28–13-0.0621%20 Mar →
mirage5–13-0.0457%20 Mar →
anubis5–13-0.0314%20 Mar →
inferno4–90.0750%19 Mar →
inferno4–90.0126%19 Mar →
inferno8–8-0.0242%19 Mar →
anubis2–13-0.0929%18 Mar →
anubis7–13-0.1220%18 Mar →
anubis8–13-0.1017%18 Mar →
anubis9–13-0.0443%18 Mar →
anubis13–8-0.1117%17 Mar →
anubis3–13-0.0919%17 Mar →
anubis7–13-0.0920%17 Mar →
anubis13–70.0142%17 Mar →
anubis13–10.040%17 Mar →
anubis11–13-0.099%16 Mar →
anubis13–11-0.0129%13 Mar →
anubis12–120.0319%13 Mar →
mirage8–13-0.1116%13 Mar →
inferno5–90.0143%12 Mar →
inferno3–9-0.0433%12 Mar →
inferno3–9-0.1040%12 Mar →
anubis5–13-0.0228%12 Mar →
anubis12–12-0.0518%12 Mar →
anubis6–13-0.0321%12 Mar →
anubis12–120.0220%11 Mar →
mirage5–13-0.1031%11 Mar →
inferno9–30.1425%11 Mar →
inferno8–80.0029%11 Mar →
mirage2–13-0.0538%11 Mar →
mirage13–5-0.0233%11 Mar →
inferno3–9-0.1218%11 Mar →
mirage13–10-0.0825%11 Mar →
mirage0–9-0.100%11 Mar →
mirage3–13-0.0830%10 Mar →
mirage13–60.0425%10 Mar →
mirage11–13-0.0835%10 Mar →
mirage7–13-0.0730%10 Mar →
mirage10–13-0.0614%9 Mar →
inferno5–9-0.1920%9 Mar →
inferno2–9-0.2550%9 Mar →
inferno9–60.1025%9 Mar →
inferno2–9-0.1120%9 Mar →
inferno2–9-0.1138%9 Mar →
dust210–130.0634%8 Mar →
mirage5–13-0.0119%6 Mar →
inferno6–9-0.0150%6 Mar →
dust213–70.1654%5 Mar →
nuke13–2-0.0217%5 Mar →
dust213–40.1342%5 Mar →
dust28–130.1136%4 Mar →
inferno9–00.0613%4 Mar →
dust213–60.1417%4 Mar →
nuke13–20.2444%4 Mar →
mirage10–50.1652%3 Mar →
dust210–130.1345%3 Mar →
dust25–13-0.0037%3 Mar →
mirage1–00.000%3 Mar →
dust213–70.0416%3 Mar →
inferno8–8-0.0333%3 Mar →
inferno9–20.0750%3 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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