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Now_you_See_mE

Now_you_See_mE — CS2 Stats

ZA76561198446997422[U:1:486731694]Steam profile ↗

1,360Tracked matches41%Win rate2020Tracked since
2,688Hours in CS1Hrs last 2 wks
CSDB Rating2.3 Learning
Premier CS Rating4,148Grey band · top ~82.4% of ranked players (population est.)
CSDB Leaderboard#7222 of 9515 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGNow_you_See_mEFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER4,148 · Grey bandcsdb.gg/stats

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Performance scores

Aim16
Positioning33
Utility38

0–100 skill scores via Leetify.

Recent form

COLD35–59–6Last 10035%Win rateLLLLTWLLWW

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

Player DNA

Aim1.6
Aggression2.2
Utility3.8
Positioning3.3
Opening Duels0.0

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 65% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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. 728ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim1.6
Positioning3.3
Utility3.8
Mechanics3.9
Opening Duels0.3
Win Impact1.9

Composite 2.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time721ms+13ms
first ⅓ avg 708ms → last ⅓ avg 721ms
Headshot accuracy12.3%−0.9%
first ⅓ avg 13.2% → last ⅓ avg 12.3%

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

0.04Best rating — dust2 7–13
13–1Biggest win — anubis
4Longest win streak
L4Current streak
7–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 58% over 19cacheWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC259–1636%-0.05
ancientA1911–858%-0.04
dust2D174–1324%-0.05
mirageD132–1115%-0.04
nukeB136–746%-0.03
cacheD60–60%-0.04
anubis—31–233%-0.04
train—21–150%-0.02
office—10–10%-0.05
overpass—11–0100%-0.08

Across the last 100 tracked matches.

Lifetime stats

76,886Lifetime kills
0.95K/D
3,893Matches
39.7%Match win rate
36.6%Headshot %
19.5%Shot accuracy · Top 5% of tracked players
9,225MVPs
1,408Hours (in match)
1,910Bombs planted
590Bombs defused

Most-used weapons

AWP15,022
AK-4714,913
M4A4 / M4A1-S11,011
Desert Eagle5,201
P2000 / USP-S3,943
Glock-182,922
SSG 082,247
MAC-101,799
MP91,710
SG 5531,679

Lifetime map wins

5,290dust2
5,154inferno
3,779nuke
2,567vertigo
723office
692train
479italy
359assault

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

Faceit stats

Combat

6Matches
50%Win rate
0.60Avg K/D
—ADR
37%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWL

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.

12.8%Headshot accuracy
27.3%Accuracy (enemy spotted)
25.5%Spray accuracy
67.7%Counter-strafing
12.1°Preaim
728msReaction time
21.8%T opening success
32.1%CT opening success
0.42Enemies flashed / flash
2.6%Flash assists
9.51HE damage / grenade
7.13Flashes / 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. Advanced Mechanics

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

    Preaim 12.1201° — above the 12° mark we flag

    Aim Training →
  2. 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 12.7602% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

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

    Reaction time 727.9387ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Cache

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0615%12 Aug →
mirage9–13-0.0513%10 Aug →
ancient7–13-0.0512%5 Aug →
nuke5–13-0.078%5 Aug →
inferno15–15-0.0510%29 Jul →
nuke13–70.0014%29 Jul →
anubis10–13-0.072%29 Jul →
nuke10–13-0.048%27 Jul →
dust213–10-0.037%27 Jul →
ancient13–4-0.0130%27 Jul →
nuke13–11-0.0510%27 Jul →
mirage13–6-0.047%25 Jul →
cache11–130.0120%25 Jul →
inferno13–6-0.0717%25 Jul →
ancient13–10-0.0320%25 Jul →
inferno13–5-0.0815%25 Jul →
dust23–13-0.0721%25 Jul →
ancient3–13-0.0822%25 Jul →
dust27–130.0412%25 Jul →
ancient2–13-0.050%25 Jul →
mirage12–12-0.0412%25 Jul →
cache8–13-0.054%25 Jul →
dust23–13-0.070%25 Jul →
nuke8–13-0.089%19 Jul →
ancient13–40.0217%19 Jul →
inferno15–15-0.0325%16 Jul →
inferno13–11-0.0815%13 Jul →
dust26–13-0.0811%13 Jul →
ancient13–7-0.0414%13 Jul →
mirage5–13-0.058%13 Jul →
mirage13–100.017%12 Jul →
cache10–13-0.0915%12 Jul →
dust210–13-0.076%10 Jul →
mirage11–13-0.0517%10 Jul →
cache4–13-0.0811%10 Jul →
inferno13–3-0.034%10 Jul →
cache11–13-0.0414%8 Jul →
train13–6-0.045%8 Jul →
train11–13-0.0021%8 Jul →
office11–13-0.0513%8 Jul →
dust29–13-0.0511%6 Jul →
anubis13–10.0132%6 Jul →
ancient15–15-0.0812%6 Jul →
ancient0–13-0.107%6 Jul →
dust23–13-0.0915%2 Jul →
ancient3–13-0.0314%2 Jul →
inferno13–9-0.0610%27 Jun →
dust29–13-0.0814%27 Jun →
dust213–7-0.0317%27 Jun →
nuke13–7-0.0111%27 Jun →
ancient13–7-0.0213%27 Jun →
inferno5–13-0.074%27 Jun →
inferno7–13-0.0024%27 Jun →
dust28–13-0.0321%27 Jun →
inferno11–13-0.0610%20 Jun →
ancient13–11-0.0313%20 Jun →
mirage1–13-0.0543%20 Jun →
dust24–13-0.1117%20 Jun →
inferno11–13-0.0414%20 Jun →
dust213–10-0.046%20 Jun →
inferno13–11-0.0421%17 Jun →
nuke13–100.0114%17 Jun →
inferno14–16-0.0120%17 Jun →
inferno8–3-0.0415%17 Jun →
nuke2–13-0.0911%15 Jun →
ancient13–80.025%14 Jun →
inferno13–20.0013%14 Jun →
inferno1–13-0.0721%14 Jun →
inferno6–13-0.0416%14 Jun →
inferno15–15-0.0211%12 Jun →
ancient13–11-0.028%12 Jun →
inferno7–13-0.1117%12 Jun →
ancient10–13-0.073%10 Jun →
dust21–13-0.0014%10 Jun →
inferno9–13-0.0318%10 Jun →
nuke5–130.039%10 Jun →
dust213–9-0.0311%7 Jun →
nuke13–40.0020%7 Jun →
dust29–13-0.0414%7 Jun →
ancient13–8-0.103%5 Jun →
inferno6–13-0.046%5 Jun →
nuke11–13-0.013%5 Jun →
mirage5–130.0013%5 Jun →
mirage11–13-0.0712%3 Jun →
inferno5–13-0.0628%3 Jun →
ancient13–11-0.0212%3 Jun →
overpass13–9-0.0815%3 Jun →
inferno4–13-0.044%31 May →
nuke13–10-0.0010%31 May →
ancient13–9-0.0911%31 May →
nuke6–13-0.1213%31 May →
mirage10–13-0.0718%28 May →
inferno13–11-0.0610%24 May →
mirage11–13-0.0515%24 May →
dust26–13-0.129%24 May →
anubis8–13-0.0710%24 May →
mirage15–15-0.0123%24 May →
mirage9–13-0.0422%21 May →
cache10–130.0321%11 May →
inferno6–13-0.0915%11 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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