tartar1 — CS2 Stats

76561199042603744[U:1:1082338016]✓ No bans

88Tracked matches45%Win rate2023Tracked since
78Hours in CS
CSDB Rating4.7 DevelopingHybrid Rifler
Premier CS Rating11,930Blue band · top ~44.7% of ranked players (population est.)
CSDB Leaderboard#29047 of 42071 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 rate44.9%41.4%44.2%meets
Shot accuracy10.1%9.0%11.6%1.5% short
Kill/death ratio0.760.971.030.27 short
Match win rate30.7%43.7%45.2%14.5% short

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

Widest gap: Match win 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.

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CSDB.GGtartar1PREMIER11,930 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning50
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY41452Last 8847%Win rateWWLLLLWWLL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression5.9
Utility4.0
Positioning5.0
Opening Duels1.9

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Reaction time. 558ms 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

Aim6.4
Positioning5.0
Utility4.0
Mechanics6.0
Opening Duels1.9
Win Impact3.3

Composite 4.7/10 (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-0.00+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time532ms−127ms
first ⅓ avg 658ms → last ⅓ avg 532ms
Headshot accuracy12.5%−1.4%
first ⅓ avg 14.0% → last ⅓ avg 12.5%

Rolling 5-match average across the last 88 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.22Best rating — dust2 9–1
130Biggest win — dust2
6Longest win streak
W2Current streak
43In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 67% over 9infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB28151354%0.00
dust2B26131350%0.02
infernoD103730%-0.02
nukeS96367%0.03
ancientD62433%-0.04
anubis31233%-0.02
vertigo31233%-0.00
cache2020%-0.02
overpass1010%-0.01

Across the last 88 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,058Lifetime kills
0.76K/D
306Matches
30.7%Match win rate
44.9%Headshot % · Top 50% of Blue band
10.1%Shot accuracy · Top 50% of Blue band
341MVPs
78Hours (in match)
107Bombs planted
46Bombs defused

Most-used weapons

Lifetime map wins

532dust2
149inferno
117nuke
50vertigo
11office
8train

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.

13.4%Headshot accuracy
32.9%Accuracy (enemy spotted)
40.6%Spray accuracy
77.1%Counter-strafing
10.0°Preaim
558msReaction time
32.3%T opening success
42.8%CT opening success
0.52Enemies flashed / flash
3.4%Flash assists
9.90HE damage / grenade
5.47Flashes / 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 13.399% — below the 15% mark we flag

    Aim Training
  2. 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 32.2514% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–110.0110%3 Jul
mirage13–9-0.039%15 Jun
nuke9–13-0.0816%14 Jun
dust20–13-0.030%14 Jun
dust20–7-0.040%14 Jun
mirage0–2-0.060%14 Jun
dust213–50.024%4 Jun
mirage13–40.0424%4 Jun
dust29–130.0127%2 Jun
anubis4–13-0.0327%2 Jun
inferno7–13-0.120%2 Jun
dust27–130.0416%29 May
anubis7–13-0.056%29 May
nuke13–90.0224%28 May
mirage13–6-0.036%22 May
dust213–160.0920%20 May
dust23–130.1312%20 May
mirage10–130.0118%15 May
ancient1–13-0.0318%15 May
mirage11–130.0214%17 Mar
nuke13–4-0.0210%17 Mar
overpass12–12-0.018%13 Mar
dust213–90.0114%26 Feb
mirage7–13-0.1011%26 Feb
anubis13–20.0113%21 Feb
inferno13–70.1114%19 Feb
dust25–13-0.1112%19 Feb
dust213–20.1011%18 Feb
dust213–100.0122%15 Feb
nuke13–60.029%12 Feb
dust213–90.0312%12 Feb
nuke13–110.027%11 Feb
mirage0–40.000%11 Feb
mirage13–10.1532%11 Feb
dust29–130.0710%7 Feb
dust213–9-0.0115%5 Feb
nuke7–130.079%5 Feb
inferno6–13-0.0715%5 Feb
mirage0–13-0.1113%30 Jan
mirage2–60.1315%30 Jan
nuke13–40.146%30 Jan
dust213–100.0517%29 Jan
vertigo13–100.048%19 Sept
dust213–60.0411%6 Aug
dust213–0-0.0111%6 Aug
ancient0–10-0.0513%5 Aug
inferno5–13-0.036%5 Aug
ancient9–13-0.039%12 Apr
mirage13–11-0.0410%23 Feb
ancient13–30.0410%23 Feb
inferno13–60.0714%23 Feb
nuke10–130.0518%15 Feb
nuke13–50.0813%12 Feb
mirage12–160.0022%12 Feb
mirage8–13-0.0513%11 Feb
vertigo8–13-0.0415%7 Feb
inferno13–90.0514%6 Feb
mirage13–40.163%6 Feb
dust213–90.0410%6 Feb
dust212–10.0412%1 Feb
mirage13–30.069%30 Jan
mirage13–5-0.0118%29 Jan
vertigo3–13-0.0113%17 Jan
mirage13–40.0314%8 Jan
ancient13–5-0.0311%8 Jan
mirage8–13-0.0415%8 Jan
mirage9–13-0.0117%8 Jan
mirage13–10-0.0716%27 Dec
inferno15–150.0916%27 Dec
mirage13–110.0610%26 Dec
dust211–13-0.0214%26 Dec
mirage7–13-0.0414%25 Dec
mirage13–100.0324%25 Dec
dust29–40.080%11 Sept
mirage9–20.1223%10 Sept
dust21–9-0.064%28 Aug
dust29–10.2230%28 Aug
inferno5–9-0.1413%26 Aug
dust23–9-0.0320%14 Aug
mirage0–9-0.1113%12 Aug
inferno3–9-0.1021%13 Jul
dust21–80.0214%21 May
cache13–16-0.0532%12 May
inferno11–16-0.028%3 May
dust22–9-0.097%3 May
ancient3–9-0.117%3 May
mirage9–30.013%3 May
cache4–90.029%3 May

Match data via Leetify.

Recent teammates

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