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๐˜ฝ๐™ก๐™–๐™ฏ๐™š๐™™๐™—๐™–๐™—๐™šสšโ™กษž

๐˜ฝ๐™ก๐™–๐™ฏ๐™š๐™™๐™—๐™–๐™—๐™šสšโ™กษž โ€” CS2 Stats

US76561198799064131[U:1:838798403]Steam profile โ†—โœ“ No bans

253Tracked matches46%Win rate2022Tracked since
1,246Hours in CS19Hrs last 2 wks
CSDB Rating4.4 Developing
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim49
Positioning44
Utility47

0โ€“100 skill scores via Leetify.

Recent form

STEADY61โ€“33โ€“6Last 10061%Win rateLLLWWWLWLL

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

Player DNA

Aim4.9
Aggression3.7
Utility4.7
Positioning4.4
Opening Duels0.6

Style profile from tracked-match aggregates โ€” 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 80% playstyle similarity

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

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

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

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 42% on CT to 23% on T โ€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 584ms from enemy-visible to first shot leaves fights decided before they start โ€” warmup routines move this number more than anything else.

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

CSDB Rating breakdown

Aim4.9
Positioning4.4
Utility4.7
Mechanics5.3
Opening Duels1.5
Win Impact3.8

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (ร—1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first โ…“ avg -0.01 โ†’ last โ…“ avg 0.00
Reaction time590ms+6ms
first โ…“ avg 584ms โ†’ last โ…“ avg 590ms
Headshot accuracy11.6%โˆ’0.1%
first โ…“ avg 11.7% โ†’ last โ…“ avg 11.6%

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.

Highlights

0.18Best rating โ€” nuke 9โ€“2
13โ€“0Biggest win โ€” alpine
7Longest win streak
L3Current streak
6โ€“4In matches decided by โ‰ค2 rounds

Map breakdown

anubisBest map ยท 83% over 6nukeWeakest map ยท 38% over 8
MapGradePlayedRecordWin rateAvg rating
cacheB158โ€“753%-0.03
infernoA149โ€“564%-0.04
officeS108โ€“280%-0.00
nukeC83โ€“538%0.03
dust2S86โ€“275%0.00
ancientS86โ€“275%-0.02
vertigoA74โ€“357%-0.02
anubisS65โ€“183%-0.01
mirageโ€”42โ€“250%-0.04
overpassโ€”42โ€“250%0.01
fachwerkโ€”32โ€“167%0.01
boulderโ€”31โ€“233%-0.02
italyโ€”32โ€“167%0.05
shelterโ€”20โ€“20%0.01
alpineโ€”22โ€“0100%0.03
poseidonโ€”10โ€“10%-0.02
trainโ€”11โ€“0100%0.04
wardenโ€”10โ€“10%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,838Lifetime kills
0.99K/D
3,284Matches
49.2%Match win rate ยท Top 50% of tracked players
30.7%Headshot %
7.3%Shot accuracy
2,173MVPs
803Hours (in match)
1,080Bombs planted
412Bombs defused

Most-used weapons

AK-4710,323
M4A4 / M4A1-S5,825
AWP3,603
Negev1,245
Desert Eagle1,171
XM10141,128
Tec-9703
SSG 08697
Five-SeveN642
P90623

Lifetime map wins

2,118dust2
2,105inferno
1,776nuke
1,304vertigo
1,130office
775train
684italy
314cbble

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

Skill profile

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

12.0%Headshot accuracy
32.5%Accuracy (enemy spotted)
34.2%Spray accuracy
74.1%Counter-strafing
10.8ยฐPreaim
584msReaction time
22.6%T opening success
42.0%CT opening success
0.47Enemies flashed / flash
3.2%Flash assists
7.41HE damage / grenade
6.80Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag โ€” 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 โ€” usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.0193% โ€” below the 15% mark we flag

    Aim Training โ†’
  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 0.4696 โ€” below the 0.5 mark we flag

    Grenade Lineups โ†’
  3. 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 22.6188% โ€” below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 8 tracked games โ€” your weakest map with enough games to be worth reading into.

Nuke callouts & strategy โ†’Nuke grenade lineups โ†’

Recent matches

MapScoreRatingHS%Date
nuke11โ€“13-0.0212%5 Aug โ†’
mirage2โ€“13-0.074%5 Aug โ†’
cache8โ€“13-0.0621%5 Aug โ†’
dust213โ€“11-0.0111%31 Jul โ†’
vertigo13โ€“50.007%31 Jul โ†’
cache13โ€“6-0.0415%20 Jul โ†’
vertigo11โ€“130.0413%19 Jul โ†’
inferno13โ€“5-0.0615%18 Jul โ†’
dust28โ€“130.0416%17 Jul โ†’
inferno9โ€“13-0.0412%17 Jul โ†’
cache6โ€“130.015%17 Jul โ†’
inferno5โ€“13-0.066%15 Jul โ†’
fachwerk13โ€“9-0.057%15 Jul โ†’
dust213โ€“80.0715%14 Jul โ†’
inferno11โ€“130.0415%14 Jul โ†’
ancient13โ€“10-0.0626%13 Jul โ†’
dust213โ€“8-0.0115%13 Jul โ†’
boulder2โ€“13-0.0414%13 Jul โ†’
fachwerk13โ€“10.1213%12 Jul โ†’
boulder13โ€“7-0.0311%12 Jul โ†’
shelter6โ€“130.0023%12 Jul โ†’
office13โ€“100.047%12 Jul โ†’
office13โ€“9-0.023%10 Jul โ†’
mirage5โ€“13-0.0011%10 Jul โ†’
cache12โ€“12-0.045%9 Jul โ†’
dust23โ€“0-0.030%9 Jul โ†’
anubis9โ€“13-0.0112%9 Jul โ†’
shelter0โ€“110.0211%9 Jul โ†’
fachwerk12โ€“12-0.0416%9 Jul โ†’
boulder6โ€“130.016%9 Jul โ†’
office13โ€“40.1111%8 Jul โ†’
italy13โ€“50.159%8 Jul โ†’
nuke8โ€“80.0615%8 Jul โ†’
mirage13โ€“7-0.047%7 Jul โ†’
cache10โ€“10.033%7 Jul โ†’
overpass6โ€“13-0.0414%6 Jul โ†’
inferno3โ€“13-0.1213%6 Jul โ†’
italy13โ€“10.059%6 Jul โ†’
office13โ€“11-0.025%5 Jul โ†’
nuke5โ€“13-0.0217%5 Jul โ†’
inferno9โ€“4-0.0915%5 Jul โ†’
vertigo13โ€“11-0.0521%4 Jul โ†’
office9โ€“13-0.0216%4 Jul โ†’
office13โ€“4-0.010%4 Jul โ†’
cache13โ€“3-0.0320%4 Jul โ†’
inferno9โ€“6-0.1212%4 Jul โ†’
nuke9โ€“20.1813%4 Jul โ†’
office10โ€“13-0.079%2 Jul โ†’
cache9โ€“13-0.046%2 Jul โ†’
cache13โ€“11-0.009%2 Jul โ†’
ancient13โ€“11-0.0310%2 Jul โ†’
nuke8โ€“13-0.0012%1 Jul โ†’
cache6โ€“13-0.0218%30 Jun โ†’
office13โ€“80.0313%30 Jun โ†’
vertigo9โ€“130.009%30 Jun โ†’
poseidon5โ€“9-0.026%28 Jun โ†’
ancient10โ€“13-0.0815%27 Jun โ†’
cache12โ€“12-0.0711%27 Jun โ†’
inferno13โ€“100.0317%24 Jun โ†’
cache13โ€“7-0.0417%23 Jun โ†’
italy8โ€“13-0.0610%10 Jun โ†’
inferno13โ€“2-0.095%10 Jun โ†’
cache11โ€“13-0.019%10 Jun โ†’
cache13โ€“100.008%7 Jun โ†’
dust213โ€“50.012%7 Jun โ†’
anubis13โ€“7-0.0312%7 Jun โ†’
overpass13โ€“30.1120%7 Jun โ†’
ancient10โ€“13-0.0413%7 Jun โ†’
train13โ€“80.0415%7 Jun โ†’
anubis13โ€“100.0111%5 Jun โ†’
inferno13โ€“90.043%5 Jun โ†’
inferno13โ€“3-0.0810%30 May โ†’
inferno13โ€“20.1019%30 May โ†’
overpass9โ€“13-0.0210%30 May โ†’
vertigo13โ€“8-0.036%30 May โ†’
office13โ€“3-0.053%30 May โ†’
ancient13โ€“50.026%30 May โ†’
dust213โ€“9-0.0018%30 May โ†’
inferno13โ€“6-0.008%30 May โ†’
ancient13โ€“60.0912%30 May โ†’
cache13โ€“10-0.0318%30 May โ†’
warden12โ€“12-0.0319%29 May โ†’
overpass13โ€“10-0.0019%29 May โ†’
vertigo13โ€“8-0.060%29 May โ†’
office13โ€“110.004%27 May โ†’
anubis13โ€“9-0.0415%27 May โ†’
anubis13โ€“3-0.0425%27 May โ†’
ancient13โ€“10-0.0212%20 May โ†’
alpine13โ€“50.065%20 May โ†’
vertigo5โ€“13-0.0313%20 May โ†’
nuke12โ€“12-0.014%20 May โ†’
alpine13โ€“0-0.017%19 May โ†’
cache13โ€“9-0.069%19 May โ†’
mirage13โ€“6-0.049%19 May โ†’
inferno4โ€“13-0.129%19 May โ†’
dust25โ€“13-0.0321%19 May โ†’
nuke13โ€“10.0117%19 May โ†’
ancient13โ€“10-0.0310%18 May โ†’
nuke13โ€“40.0213%18 May โ†’
anubis12โ€“60.0421%18 May โ†’

Match data via Leetify.

Recent teammates

Milestones

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

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