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π™π•šroβ„’

π™π•šroβ„’ β€” CS2 Stats

ZA76561199349166300[U:1:1388900572]Steam profile β†—βœ“ No bans

478Tracked matches41%Win rate2023Tracked since
1,129Hours in CS
CSDB Rating2.7 Learning
Ladder ranks via Leetify

Performance scores

Aim14
Positioning36
Utility49

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateLLLLLWWLWL

Last 10 vs previous 10: -20pp win rate Β· -0.00 avg rating

Player DNA

Aim1.4
Aggression3.2
Utility4.9
Positioning3.6
Opening Duels0.0

Style profile from tracked-match aggregates β€” 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 69% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

Reaction time. 742ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped β€” moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim1.4
Positioning3.6
Utility4.9
Mechanics3.9
Opening Duels0.0
Win Impact2.1

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (Γ—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04βˆ’0.01
first β…“ avg -0.04 β†’ last β…“ avg -0.04
Reaction time737msβˆ’42ms
first β…“ avg 779ms β†’ last β…“ avg 737ms
Headshot accuracy14.3%+0.1%
first β…“ avg 14.2% β†’ last β…“ avg 14.3%

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.

Highlights

0.13Best rating β€” inferno 13–7
13–1Biggest win β€” dust2
4Longest win streak
L5Current streak
4–3In matches decided by ≀2 rounds
9Overtime games

Map breakdown

overpassBest map Β· 50% over 10mirageWeakest map Β· 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2C4620–2643%-0.04
mirageD186–1233%-0.05
infernoC146–843%-0.03
overpassB105–550%-0.03
ancientC52–340%-0.05
nukeβ€”32–167%-0.03
anubisβ€”21–150%-0.07
trainβ€”11–0100%0.00
vertigoβ€”11–0100%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,870Lifetime kills
0.85K/D
4,980Matches
37.8%Match win rate
29.3%Headshot %
10.4%Shot accuracy
2,454MVPs
1,129Hours (in match)
1,820Bombs planted
257Bombs defused

Most-used weapons

AWP10,179
AK-478,077
M4A4 / M4A1-S7,262
AUG5,102
SG 5534,144
MP92,567
Desert Eagle2,287
P901,847
P2000 / USP-S1,743
MAC-101,591

Lifetime map wins

14,625dust2
1,137inferno
649vertigo
554nuke
287train
75office
73ar_shoots
48safehouse

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

Skill profile

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

14.4%Headshot accuracy
26.0%Accuracy (enemy spotted)
21.1%Spray accuracy
67.5%Counter-strafing
12.1Β°Preaim
742msReaction time
29.0%T opening success
23.4%CT opening success
0.75Enemies flashed / flash
2.0%Flash assists
10.37HE damage / grenade
3.72Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0851Β° β€” above the 12Β° mark we flag

    Aim Training β†’
  2. Best CS2 Crosshair

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

    Headshot accuracy 14.4076% β€” below the 15% mark we flag

    Aim Training β†’
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one β€” framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 741.8055ms β€” above the 700ms mark we flag

    Aim Training β†’
Spend your practice time on Mirage

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

33% win rate across 18 tracked games β€” your weakest map with enough games to be worth reading into.

Mirage callouts & strategy β†’Mirage grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.057%20 Aug β†’
dust21–13-0.0612%20 Aug β†’
mirage0–13-0.048%20 Aug β†’
dust24–13-0.0911%19 Aug β†’
mirage5–13-0.093%19 Aug β†’
mirage13–10-0.0216%19 Aug β†’
dust213–6-0.0118%19 Aug β†’
dust29–13-0.0510%17 Aug β†’
mirage13–90.008%17 Aug β†’
dust25–13-0.0419%17 Aug β†’
mirage5–13-0.0420%16 Aug β†’
dust213–5-0.0710%16 Aug β†’
train13–50.0019%16 Aug β†’
mirage9–13-0.0819%16 Aug β†’
dust25–13-0.0927%11 Aug β†’
dust213–70.0923%10 Aug β†’
dust213–9-0.0822%10 Aug β†’
mirage12–12-0.0613%10 Aug β†’
anubis13–10-0.0213%9 Aug β†’
inferno5–13-0.076%9 Aug β†’
dust213–8-0.0122%9 Aug β†’
ancient1–13-0.089%9 Aug β†’
dust213–70.0111%9 Aug β†’
overpass13–4-0.0223%13 Jul β†’
dust28–13-0.0322%13 Jul β†’
dust216–13-0.0411%25 Apr β†’
dust27–13-0.0529%25 Apr β†’
inferno9–13-0.039%25 Apr β†’
dust25–13-0.092%25 Apr β†’
mirage2–13-0.093%25 Apr β†’
dust27–13-0.0921%25 Apr β†’
mirage4–13-0.1015%23 Apr β†’
dust213–80.0610%19 Apr β†’
inferno13–6-0.0115%19 Apr β†’
dust213–6-0.0414%19 Apr β†’
overpass3–13-0.0810%19 Apr β†’
dust212–16-0.1016%12 Apr β†’
dust23–13-0.0316%12 Apr β†’
nuke13–9-0.0615%12 Apr β†’
ancient13–11-0.096%12 Apr β†’
dust25–13-0.0121%12 Apr β†’
dust28–13-0.083%12 Apr β†’
inferno13–50.0012%12 Apr β†’
nuke9–130.0314%12 Apr β†’
inferno11–13-0.125%9 Apr β†’
overpass13–3-0.0917%9 Apr β†’
vertigo13–8-0.0813%9 Apr β†’
mirage5–13-0.0411%9 Apr β†’
inferno14–16-0.068%5 Apr β†’
inferno13–30.074%5 Apr β†’
dust213–110.039%5 Apr β†’
inferno2–13-0.136%5 Apr β†’
mirage13–7-0.046%5 Apr β†’
mirage5–130.0013%5 Apr β†’
dust213–1-0.043%5 Apr β†’
dust213–8-0.018%5 Apr β†’
dust24–13-0.0219%5 Apr β†’
mirage13–80.0111%5 Apr β†’
dust25–13-0.028%4 Apr β†’
mirage13–110.028%4 Apr β†’
dust24–90.0236%4 Apr β†’
dust212–16-0.0720%3 Apr β†’
overpass13–20.0035%3 Apr β†’
dust25–1-0.0320%3 Apr β†’
dust213–3-0.0718%3 Apr β†’
mirage13–8-0.0521%31 Mar β†’
inferno10–13-0.0511%30 Mar β†’
dust213–10-0.1113%26 Mar β†’
overpass13–5-0.0720%26 Mar β†’
ancient13–6-0.0713%25 Mar β†’
dust213–11-0.0518%25 Mar β†’
dust214–160.0224%25 Mar β†’
dust216–12-0.0410%25 Mar β†’
dust212–16-0.0221%22 Mar β†’
dust25–13-0.0712%22 Mar β†’
mirage1–13-0.1027%22 Mar β†’
inferno3–13-0.0715%22 Mar β†’
dust213–3-0.049%22 Mar β†’
dust29–13-0.0217%21 Mar β†’
dust213–80.0218%21 Mar β†’
ancient6–13-0.0413%21 Mar β†’
dust26–13-0.0612%21 Mar β†’
anubis3–13-0.130%21 Mar β†’
ancient15–150.0323%28 Feb β†’
dust24–13-0.1018%28 Feb β†’
overpass10–130.0011%28 Feb β†’
dust213–9-0.0915%28 Feb β†’
overpass13–5-0.0211%28 Feb β†’
inferno4–13-0.097%28 Feb β†’
inferno13–80.0014%28 Feb β†’
mirage6–13-0.0415%22 Feb β†’
overpass13–160.0120%22 Feb β†’
overpass4–13-0.0410%22 Feb β†’
inferno13–70.1313%22 Feb β†’
inferno13–50.0619%22 Feb β†’
nuke13–9-0.079%22 Feb β†’
overpass9–130.0212%22 Feb β†’
dust28–13-0.095%22 Feb β†’
dust23–13-0.0510%12 Feb β†’
dust26–13-0.0414%12 Feb β†’

Match data via Leetify.

Recent teammates

Milestones

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

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