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_𝔴𝔦𝔭𝔭𝔨𝔬_

_𝔴𝔦𝔭𝔭𝔨𝔬_ β€” CS2 Stats

76561198834167785[U:1:873902057]Steam profile β†—βœ“ No bans

546Tracked matches39%Win rate2021Tracked since
1,776Hours in CS17Hrs last 2 wks
CSDB Rating4.5 DevelopingHybrid Rifler
FaceitLevel 4 Β· 1,039 ELOTop 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=2,669), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here β€” those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate40.1%42.7%43.7%3.7% short
Shot accuracy10.5%10.8%11.8%1.3% short
Kill/death ratio0.961.001.020.07 short
Match win rate40.7%44.1%45.0%4.3% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG_𝔴𝔦𝔭𝔭𝔨𝔬_FACEITLevel 4 Β· 1,039 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere β€” it is generated in your browser when you click.

Performance scores

Aim68
Positioning51
Utility46

0–100 skill scores via Leetify.

Recent form

COLD42–50–8Last 10042%Win rateLWLLLLWLLL

Last 10 vs previous 10: -30pp win rate Β· -0.02 avg rating

Player DNA

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

Aim6.8
Aggression6.2
Utility4.6
Positioning5.1
Opening Duels2.2
Clutch3.2

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

b1t

Plays most like b1t 89% 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 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. 637ms 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

Aim6.8
Positioning5.1
Utility4.6
Mechanics6.1
Opening Duels2.2
Win Impact1.4

Composite 4.5/10 (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 rating0.02+0.00
first β…“ avg 0.02 β†’ last β…“ avg 0.02
Reaction time630msβˆ’16ms
first β…“ avg 646ms β†’ last β…“ avg 630ms
Headshot accuracy18.6%+2.7%
first β…“ avg 15.9% β†’ last β…“ avg 18.6%

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

0.26Best rating β€” inferno 9–1
13–1Biggest win β€” overpass
6Longest win streak
7–9In matches decided by ≀2 rounds
7Overtime games

Map breakdown

infernoBest map Β· 54% over 26dust2Weakest map Β· 0% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB2614–1254%0.05
nukeC177–1041%0.02
mirageC167–944%0.03
cacheB147–750%-0.00
ancientB84–450%0.02
anubisD61–517%-0.03
dust2D60–60%-0.01
overpassβ€”32–167%0.07
officeβ€”20–20%-0.03
shelterβ€”10–10%0.10
vertigoβ€”10–10%0.12

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,980Lifetime kills
0.96K/D
3,050Matches
40.7%Match win rate
40.1%Headshot %
10.5%Shot accuracy
7,250MVPs
1,028Hours (in match)
2,334Bombs planted
621Bombs defused

Most-used weapons

AK-4712,268
AWP11,604
M4A4 / M4A1-S6,931
Desert Eagle3,374
P2000 / USP-S2,820
Glock-182,672
SSG 082,520
MP91,485
Galil AR1,153
P90964

Lifetime map wins

2,541nuke
2,472inferno
1,439dust2
807office
665lake
627vertigo
181train
118assault

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

Faceit stats

Combat

72Matches
47%Win rate
1.19Avg K/D
84.5ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
14%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno1958%1.1716.8
Ancient1450%1.3018.9
Nuke1338%1.2719.9
Mirage1164%1.4018.3
Dust2617%0.8013.2
Cache540%0.9914.8
Anubis250%1.5221.0

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

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.

19.5%Headshot accuracy
36.7%Accuracy (enemy spotted)
36.2%Spray accuracy
77.7%Counter-strafing
9.9Β°Preaim
637msReaction time
39.1%T opening success
38.7%CT opening success
0.58Enemies flashed / flash
3.1%Flash assists
5.67HE damage / grenade
8.75Flashes / 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

    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 39.097% β€” below the 40% mark we flag

Spend your practice time on Dust 2

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

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

Dust 2 callouts & strategy β†’Dust 2 grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0312%26 Aug β†’
ancient13–90.0525%4 Aug β†’
ancient8–13-0.0517%4 Aug β†’
inferno8–130.0218%4 Aug β†’
nuke14–160.0519%3 Aug β†’
ancient13–160.0616%3 Aug β†’
inferno13–40.0626%2 Aug β†’
cache4–13-0.0215%2 Aug β†’
mirage11–13-0.0128%2 Aug β†’
mirage9–13-0.0522%30 Jul β†’
mirage15–15-0.0023%30 Jul β†’
anubis8–13-0.0324%30 Jul β†’
nuke13–110.0527%29 Jul β†’
inferno1–9-0.1221%29 Jul β†’
nuke3–9-0.1215%29 Jul β†’
nuke11–130.0215%26 Jul β†’
ancient13–9-0.0613%25 Jul β†’
inferno9–50.2020%25 Jul β†’
inferno9–20.2021%25 Jul β†’
inferno9–50.1116%25 Jul β†’
nuke5–90.089%25 Jul β†’
mirage8–130.0126%23 Jul β†’
inferno12–160.0314%23 Jul β†’
dust211–130.0014%20 Jul β†’
ancient13–60.0516%20 Jul β†’
inferno10–120.1010%16 Jul β†’
mirage6–13-0.0515%15 Jul β†’
mirage13–40.0420%15 Jul β†’
inferno13–11-0.0325%15 Jul β†’
mirage13–110.0415%15 Jul β†’
nuke13–20.0522%14 Jul β†’
dust29–13-0.0020%14 Jul β†’
cache13–90.0017%14 Jul β†’
nuke13–50.0424%14 Jul β†’
mirage10–130.1020%14 Jul β†’
cache15–15-0.0327%13 Jul β†’
cache13–50.0113%13 Jul β†’
mirage10–130.0525%12 Jul β†’
shelter3–120.1047%11 Jul β†’
inferno8–130.0518%4 Jul β†’
inferno13–9-0.028%4 Jul β†’
dust27–13-0.0418%4 Jul β†’
cache11–13-0.0215%2 Jul β†’
dust24–13-0.0822%2 Jul β†’
dust28–130.0627%26 Jun β†’
mirage9–13-0.0310%26 Jun β†’
inferno9–10.2618%26 Jun β†’
nuke13–110.0313%25 Jun β†’
ancient13–20.0719%25 Jun β†’
mirage13–110.0310%25 Jun β†’
ancient11–130.0713%13 Jun β†’
inferno13–60.0615%13 Jun β†’
mirage13–40.1121%13 Jun β†’
inferno8–130.0643%3 Jun β†’
nuke12–120.0526%3 Jun β†’
cache7–13-0.0220%3 Jun β†’
mirage12–120.0214%9 May β†’
office3–13-0.0320%8 May β†’
cache13–80.0021%8 May β†’
cache13–60.0418%8 May β†’
inferno9–20.0727%8 May β†’
nuke2–13-0.077%7 May β†’
anubis3–13-0.0618%7 May β†’
inferno13–110.0131%6 May β†’
inferno10–13-0.0518%5 May β†’
cache12–120.0714%2 May β†’
nuke13–50.0819%2 May β†’
cache13–10-0.039%2 May β†’
inferno11–130.0419%2 May β†’
cache13–60.0334%2 May β†’
cache9–13-0.037%1 May β†’
cache3–13-0.0215%30 Apr β†’
cache13–90.0327%30 Apr β†’
nuke11–13-0.0311%25 Apr β†’
dust25–13-0.0117%24 Apr β†’
inferno8–13-0.066%7 Apr β†’
nuke4–9-0.1213%6 Apr β†’
inferno6–90.0411%6 Apr β†’
nuke12–12-0.0218%1 Apr β†’
vertigo12–120.1216%15 Mar β†’
nuke4–13-0.0714%15 Mar β†’
inferno5–130.0112%14 Mar β†’
overpass6–20.175%14 Mar β†’
office9–13-0.0313%13 Mar β†’
inferno13–70.0720%13 Mar β†’
mirage13–60.1118%7 Mar β†’
nuke13–30.1215%6 Mar β†’
anubis4–13-0.0517%6 Mar β†’
anubis8–13-0.0717%26 Feb β†’
ancient10–13-0.0313%24 Feb β†’
inferno8–80.0220%23 Feb β†’
nuke9–10.2217%23 Feb β†’
anubis16–130.0518%22 Feb β†’
overpass3–13-0.0122%22 Feb β†’
mirage13–100.0220%21 Feb β†’
mirage13–70.0215%21 Feb β†’
overpass13–10.0512%21 Feb β†’
inferno16–140.0122%20 Feb β†’
inferno9–40.0822%19 Feb β†’
inferno9–40.0111%19 Feb β†’

Match data via Leetify.

Recent teammates

Milestones

500 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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