要 πŸ—Ώβƒ€βƒ’SME

要 πŸ—Ώβƒ€βƒ’SME β€” CS2 Stats

SE76561198057365964[U:1:97100236]Steam profile β†—βœ“ No bans

5,759Tracked matches50%Win rate2020Tracked since
4,972Hours in CS4Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
FaceitLevel 9 Β· 2,120 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 10 medianvs Level 10
Headshot rate37.9%52.8%14.9% short
Shot accuracy12.4%13.7%1.3% short
Kill/death ratio0.951.080.13 short
Match win rate50.3%49.2%above

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms β€” not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG要 πŸ—Ώβƒ€βƒ’SMEFACEITLevel 9 Β· 2,120 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning50
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateWLWWLWLLLW

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

Player DNA

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

Aim7.5
Aggression5.9
Utility4.8
Positioning5.0
Opening Duels3.8
Clutch4.4

Strong CT-side opener

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

iM

Plays most like iM 89% playstyle similarity

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

Where you differ: lower positioning 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

T-side openings. Opening success drops from 58% on CT to 33% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.5
Positioning5.0
Utility4.8
Mechanics5.4
Opening Duels3.8
Win Impact5.0

Composite 5.7/10 (Solid), 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 rating0.00+0.01
first β…“ avg -0.01 β†’ last β…“ avg 0.00
Reaction time566msβˆ’14ms
first β…“ avg 580ms β†’ last β…“ avg 566ms
Headshot accuracy16.9%+0.6%
first β…“ avg 16.3% β†’ last β…“ avg 16.9%

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

0.14Best rating β€” anubis 13–3
13–1Biggest win β€” nuke
5Longest win streak
8–6In matches decided by ≀2 rounds
17Overtime games

Map breakdown

nukeBest map Β· 67% over 9vertigoWeakest map Β· 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B2311–1248%0.00
ancientB179–853%-0.01
vertigoD143–1121%-0.01
anubisD143–1121%-0.00
cacheC104–640%-0.03
nukeS96–367%-0.00
mirageA53–260%-0.01
infernoβ€”44–0100%0.02
overpassβ€”21–150%-0.00
trainβ€”10–10%-0.02
debrisβ€”10–10%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,129Lifetime kills
0.95K/D
7,927Matches
50.3%Match win rate Β· Top 25% of tracked players
37.9%Headshot %
12.4%Shot accuracy Β· Top 50% of tracked players
22,607MVPs
3,011Hours (in match)
7,296Bombs planted
1,890Bombs defused

Most-used weapons

AK-4744,689
AWP12,085
XM10143,547
MAC-102,584
FAMAS2,551

Lifetime map wins

9,620inferno
8,386dust2
8,198nuke
7,405vertigo
3,706train
717office
255italy
232cbble

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

Faceit stats

Combat

2,055Matches
51%Win rate
1.06Avg K/D
79.8ADR
34%Headshot %

Clutches & streaks

42%1v1 clutch win
24%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient28354%0.9914.8
Anubis15148%1.0615.3
Nuke14255%1.0616.3
Overpass8845%1.0216.9
Vertigo4643%0.8915.0
Inferno4052%0.9215.9
Mirage3735%0.7613.6
Train2948%1.3919.2

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.

16.9%Headshot accuracy
36.2%Accuracy (enemy spotted)
41.7%Spray accuracy
74.3%Counter-strafing
8.6Β°Preaim
564msReaction time
32.9%T opening success
57.6%CT opening success
0.53Enemies flashed / flash
7.7%Flash assists
9.38HE damage / grenade
6.26Flashes / 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 32.9052% β€” below the 40% mark we flag

Spend your practice time on Vertigo

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

21% win rate across 14 tracked games β€” your weakest map with enough games to be worth reading into.

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

Recent matches

MapScoreRatingHS%Date
dust216–12-0.0415%24 Aug β†’
mirage6–130.0628%24 Aug β†’
mirage13–5-0.0518%22 Aug β†’
nuke13–90.0421%19 Aug β†’
ancient7–13-0.0418%19 Aug β†’
nuke16–12-0.0426%16 Aug β†’
vertigo11–13-0.0014%12 Aug β†’
anubis6–13-0.0321%10 Aug β†’
anubis5–13-0.0418%10 Aug β†’
ancient13–70.0320%9 Aug β†’
anubis7–13-0.0713%9 Aug β†’
vertigo5–130.0326%9 Aug β†’
anubis11–13-0.0315%9 Aug β†’
ancient5–13-0.0528%9 Aug β†’
dust210–130.0024%8 Aug β†’
ancient13–50.0826%8 Aug β†’
anubis10–130.0511%8 Aug β†’
dust216–12-0.0211%8 Aug β†’
dust213–90.0924%7 Aug β†’
inferno16–130.0114%7 Aug β†’
mirage13–7-0.0210%6 Aug β†’
cache5–13-0.109%5 Aug β†’
cache13–80.0115%4 Aug β†’
dust211–130.015%4 Aug β†’
vertigo13–50.0318%31 Jul β†’
anubis13–60.0414%31 Jul β†’
ancient11–13-0.0110%31 Jul β†’
dust29–13-0.0611%31 Jul β†’
dust219–160.0017%30 Jul β†’
dust213–9-0.0216%30 Jul β†’
anubis13–30.1411%30 Jul β†’
dust213–110.0521%30 Jul β†’
dust213–30.0510%30 Jul β†’
overpass3–13-0.0126%30 Jul β†’
inferno13–40.0419%30 Jul β†’
ancient5–13-0.0313%30 Jul β†’
vertigo10–13-0.029%30 Jul β†’
vertigo8–130.0626%30 Jul β†’
ancient13–100.0517%29 Jul β†’
vertigo13–8-0.0415%29 Jul β†’
anubis10–13-0.0012%29 Jul β†’
cache7–13-0.0419%29 Jul β†’
dust29–13-0.039%29 Jul β†’
ancient13–80.029%28 Jul β†’
inferno16–140.006%28 Jul β†’
vertigo10–13-0.0122%27 Jul β†’
dust26–130.0129%27 Jul β†’
nuke12–160.0110%27 Jul β†’
cache10–13-0.0520%27 Jul β†’
vertigo13–16-0.0713%27 Jul β†’
dust210–13-0.0320%27 Jul β†’
vertigo13–60.0432%27 Jul β†’
cache5–13-0.0821%26 Jul β†’
vertigo9–13-0.079%26 Jul β†’
mirage6–130.0224%26 Jul β†’
anubis13–50.0120%26 Jul β†’
dust213–50.0133%24 Jul β†’
nuke13–10.1011%24 Jul β†’
ancient16–140.0215%24 Jul β†’
nuke9–130.0117%24 Jul β†’
anubis6–13-0.0211%24 Jul β†’
vertigo6–13-0.0513%23 Jul β†’
dust29–130.0118%23 Jul β†’
cache11–13-0.0514%23 Jul β†’
overpass13–110.0020%23 Jul β†’
dust213–50.0216%23 Jul β†’
vertigo8–13-0.0417%23 Jul β†’
nuke13–11-0.0713%23 Jul β†’
ancient8–0-0.0122%23 Jul β†’
dust210–13-0.0324%23 Jul β†’
dust213–11-0.0425%23 Jul β†’
anubis3–13-0.0512%22 Jul β†’
dust213–160.0613%22 Jul β†’
cache2–13-0.0616%22 Jul β†’
anubis10–130.0615%22 Jul β†’
inferno13–40.0315%22 Jul β†’
dust28–13-0.0418%21 Jul β†’
vertigo6–130.0214%21 Jul β†’
anubis4–13-0.1012%21 Jul β†’
mirage16–14-0.0410%21 Jul β†’
cache13–70.0318%21 Jul β†’
ancient6–13-0.0213%21 Jul β†’
cache13–10-0.0123%21 Jul β†’
ancient12–16-0.0413%21 Jul β†’
anubis19–22-0.0115%21 Jul β†’
ancient11–130.0118%20 Jul β†’
ancient16–13-0.0113%20 Jul β†’
nuke3–13-0.0614%20 Jul β†’
ancient13–4-0.0118%20 Jul β†’
nuke13–100.0423%20 Jul β†’
cache16–140.0716%20 Jul β†’
nuke13–10-0.0311%20 Jul β†’
dust210–130.0322%20 Jul β†’
ancient13–9-0.049%20 Jul β†’
dust215–15-0.0118%20 Jul β†’
train13–16-0.0220%20 Jul β†’
ancient8–13-0.0515%20 Jul β†’
dust213–100.0821%20 Jul β†’
vertigo9–130.0012%20 Jul β†’
debris6–9-0.0317%19 Jul β†’

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’