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π”―π”’π”žπ”­π”’π”― 𝔡 β€” CS2 Stats

76561199399545512[U:1:1439279784]Steam profile β†—

2,193Tracked matches69%Win rate2023Tracked since
3,873Hours in CS27Hrs last 2 wks
CSDB Rating5.0 DevelopingPassive Rifler
Premier CS Rating8,541Light Blue band Β· top ~61.9% of ranked players (population est.)
CSDB Leaderboard#10981 of 14745 tracked
WingmanSilver Elite
Ladder ranks via Leetify

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CSDB.GGπ”―π”’π”žπ”­π”’π”― 𝔡PREMIER8,541 Β· Light Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning36
Utility14

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateLWWWLWWTWL

Last 10 vs previous 10: -20pp win rate Β· +0.01 avg rating

Player DNA

Primary style: Passive Rifler β€” Aim-led profile without a single dominant tendency.

Aim7.3
Aggression2.3
Utility1.4
Positioning3.6
Opening Duels0.6

Strong CT-side openerLimited utility dependence

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 73% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower opening-fight frequency; lower utility contribution.

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

Positioning. Positioning trails aim by 37 points β€” deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 43% on CT to 22% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

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

Aim7.3
Positioning3.6
Utility1.4
Mechanics8.2
Opening Duels1.6
Win Impact10.0

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ—0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first β…“ avg -0.02 β†’ last β…“ avg -0.02
Reaction time617msβˆ’55ms
first β…“ avg 673ms β†’ last β…“ avg 617ms
Headshot accuracy23.4%+0.2%
first β…“ avg 23.2% β†’ last β…“ avg 23.4%

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

0.09Best rating β€” mirage 13–8
13–2Biggest win β€” vertigo
5Longest win streak
10–7In matches decided by ≀2 rounds
5Overtime games

Map breakdown

infernoBest map Β· 69% over 16nukeWeakest map Β· 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A2717–1063%-0.02
mirageA2011–955%-0.02
infernoS1611–569%-0.01
anubisA116–555%-0.01
nukeD93–633%-0.03
ancientD93–633%-0.02
cacheβ€”31–233%-0.05
trainβ€”21–150%-0.01
vertigoβ€”21–150%-0.01
overpassβ€”10–10%0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,135Lifetime kills
0.80K/D
6,349Matches
42.2%Match win rate
53.4%Headshot % Β· Top 25% of tracked players
2.5%Shot accuracy
10,761MVPs
3,185Hours (in match)
2,108Bombs planted
1,085Bombs defused

Most-used weapons

AK-4722,824
Desert Eagle10,002
M4A4 / M4A1-S8,166
AWP6,680
SSG 084,193
P2000 / USP-S4,069
Glock-183,066
Five-SeveN1,189
Knife1,109
MP91,042

Lifetime map wins

11,865dust2
4,547inferno
3,287nuke
2,687vertigo
1,802office
1,343italy
780train
189assault

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.

23.6%Headshot accuracy
28.5%Accuracy (enemy spotted)
27.1%Spray accuracy
86.9%Counter-strafing
6.6Β°Preaim
607msReaction time
22.0%T opening success
42.9%CT opening success
0.33Enemies flashed / flash
0.7%Flash assists
9.56HE damage / grenade
1.33Flashes / 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. 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 0.3261 β€” below the 0.5 mark we flag

    Grenade Lineups β†’
  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 22.0314% β€” below the 40% mark we flag

Spend your practice time on Nuke

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 9 tracked games β€” your weakest map with enough games to be worth reading into.

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

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0424%24 Aug β†’
nuke13–9-0.0325%24 Aug β†’
inferno13–10-0.0129%24 Aug β†’
inferno13–110.0357%22 Aug β†’
train4–13-0.0222%22 Aug β†’
nuke13–100.0817%22 Aug β†’
inferno13–11-0.0123%22 Aug β†’
inferno12–12-0.0114%22 Aug β†’
inferno13–5-0.0121%22 Aug β†’
mirage9–13-0.0415%22 Aug β†’
dust213–11-0.0527%22 Aug β†’
dust213–9-0.0419%22 Aug β†’
dust213–11-0.0224%22 Aug β†’
ancient1–13-0.050%22 Aug β†’
ancient11–130.0424%21 Aug β†’
mirage13–100.0320%21 Aug β†’
dust213–10-0.074%21 Aug β†’
mirage13–5-0.0521%21 Aug β†’
mirage13–3-0.0315%20 Aug β†’
inferno13–60.0532%20 Aug β†’
dust27–13-0.0232%20 Aug β†’
inferno13–5-0.0339%20 Aug β†’
mirage13–10-0.0327%20 Aug β†’
dust213–5-0.0633%20 Aug β†’
anubis13–5-0.0236%20 Aug β†’
dust213–30.0119%20 Aug β†’
inferno10–13-0.0525%20 Aug β†’
mirage1–13-0.0629%14 Aug β†’
mirage13–7-0.058%13 Aug β†’
inferno7–13-0.0915%13 Aug β†’
dust213–10-0.0313%12 Aug β†’
nuke13–110.0230%9 Aug β†’
anubis13–80.0233%8 Aug β†’
anubis13–9-0.0419%8 Aug β†’
ancient11–13-0.0217%8 Aug β†’
ancient3–13-0.1017%8 Aug β†’
anubis13–90.0227%8 Aug β†’
nuke12–12-0.0416%8 Aug β†’
nuke9–13-0.0819%8 Aug β†’
nuke8–13-0.1111%7 Aug β†’
ancient13–70.0316%6 Aug β†’
vertigo13–20.0439%6 Aug β†’
nuke5–13-0.0629%6 Aug β†’
dust215–15-0.0515%6 Aug β†’
inferno13–100.0030%5 Aug β†’
mirage9–13-0.0231%5 Aug β†’
inferno11–130.0720%5 Aug β†’
nuke15–150.0115%4 Aug β†’
dust211–130.0325%4 Aug β†’
inferno11–130.0217%4 Aug β†’
anubis5–13-0.0317%4 Aug β†’
inferno13–5-0.0619%4 Aug β†’
ancient13–20.0426%4 Aug β†’
cache6–13-0.0427%4 Aug β†’
dust213–3-0.0628%4 Aug β†’
inferno13–11-0.0224%4 Aug β†’
mirage13–8-0.0530%4 Aug β†’
inferno13–6-0.0515%4 Aug β†’
inferno13–9-0.0525%4 Aug β†’
mirage1–13-0.0319%3 Aug β†’
ancient13–16-0.0218%3 Aug β†’
mirage13–80.0917%3 Aug β†’
anubis13–90.0322%3 Aug β†’
ancient8–13-0.0715%3 Aug β†’
anubis13–10-0.0215%3 Aug β†’
dust29–13-0.0615%3 Aug β†’
dust213–60.0521%3 Aug β†’
anubis7–130.0725%3 Aug β†’
dust213–6-0.0124%3 Aug β†’
mirage1–13-0.0514%3 Aug β†’
nuke9–13-0.0210%2 Aug β†’
dust26–130.0116%2 Aug β†’
dust211–13-0.0613%2 Aug β†’
dust215–150.0213%1 Aug β†’
dust213–110.0627%1 Aug β†’
vertigo9–13-0.0633%1 Aug β†’
cache6–13-0.0623%30 Jul β†’
ancient13–8-0.0422%30 Jul β†’
dust210–13-0.0833%30 Jul β†’
dust213–9-0.0541%30 Jul β†’
anubis15–150.0020%29 Jul β†’
mirage8–13-0.0517%29 Jul β†’
dust213–9-0.0418%29 Jul β†’
mirage10–13-0.0215%29 Jul β†’
mirage9–13-0.0611%29 Jul β†’
mirage13–90.0635%28 Jul β†’
overpass9–130.0214%28 Jul β†’
train13–60.0128%28 Jul β†’
mirage13–8-0.078%28 Jul β†’
anubis3–13-0.0022%28 Jul β†’
mirage13–100.0217%27 Jul β†’
dust213–11-0.0231%27 Jul β†’
dust213–11-0.0021%27 Jul β†’
anubis8–13-0.1147%27 Jul β†’
cache13–10-0.0639%27 Jul β†’
dust26–13-0.0824%27 Jul β†’
dust213–70.0828%27 Jul β†’
dust213–6-0.0228%27 Jul β†’
dust211–13-0.0728%24 Jul β†’
mirage13–110.0119%24 Jul β†’

Match data via Leetify.

Recent teammates

Milestones

1,000 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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