S4M11K — CS2 Stats

76561199121934365[U:1:1161668637]✓ No bans

1,681Tracked matches59%Win rate2022Tracked since
2,905Hours in CS30Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
FaceitLevel 9 · 1,620 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate56.7%48.5%51.9%above
Shot accuracy9.4%13.3%13.7%4.3% short
Kill/death ratio1.491.071.08above
Match win rate45.6%47.0%48.7%3.1% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGS4M11KFACEITLevel 9 · 1,620 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning53
Utility42

0–100 skill scores via Leetify.

Recent form

COLD42499Last 10042%Win rateTLWWLLTWLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression7.0
Utility4.2
Positioning5.3
Opening Duels4.1
Clutch2.8

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

ropz

Plays most like ropz 90% playstyle similarity

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

Where you differ: 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. 604ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.9
Positioning5.3
Utility4.2
Mechanics5.1
Opening Duels4.1
Win Impact7.9

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time607ms+9ms
first ⅓ avg 599ms → last ⅓ avg 607ms
Headshot accuracy19.1%+0.1%
first ⅓ avg 19.0% → last ⅓ avg 19.1%

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

0.22Best rating — inferno 9–1
133Biggest win — dust2
5Longest win streak
139In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 63% over 8infernoWeakest map · 33% over 49
MapGradePlayedRecordWin rateAvg rating
infernoD49163333%-0.00
dust2A169756%-0.00
mirageB105550%0.01
ancientD93633%0.01
nukeA85363%-0.02
cacheC52340%-0.06
anubis21150%-0.01
overpass110100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 49). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,375Lifetime kills
1.49K/D · Top 10% of Level 9 players
4,544Matches
45.6%Match win rate
56.7%Headshot % · Top 25% of Level 9 players
9.4%Shot accuracy
10,561MVPs
3,137Hours (in match)
4,131Bombs planted
1,079Bombs defused

Most-used weapons

AK-4747,744
AWP12,284
Negev6,243
MP92,460
FAMAS1,703

Lifetime map wins

7,566inferno
6,933dust2
2,133nuke
1,936vertigo
478train
162lake
103cbble
13office

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

Faceit stats

Combat

827Matches
50%Win rate
1.04Avg K/D
76.8ADR
46%Headshot %

Clutches & streaks

34%1v1 clutch win
25%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage26451%1.0315.7
Dust216249%1.0115.9
Inferno11751%0.9815.1
Ancient9346%1.1815.6
Anubis7751%1.1315.9
Overpass3962%1.0515.9
Nuke3759%1.0915.9
Train2124%0.9014.2

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.

17.1%Headshot accuracy
37.7%Accuracy (enemy spotted)
42.2%Spray accuracy
73.0%Counter-strafing
10.1°Preaim
604msReaction time
40.9%T opening success
52.1%CT opening success
0.51Enemies flashed / flash
3.3%Flash assists
6.57HE damage / grenade
7.92Flashes / match

Recommended for you

Spend your practice time on Inferno

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

33% win rate across 49 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–80.0760%27 Aug
nuke3–9-0.1526%27 Aug
dust213–11-0.0220%25 Aug
ancient13–100.0715%25 Aug
dust29–13-0.0314%19 Aug
inferno6–90.0423%5 Aug
inferno8–80.0218%4 Aug
ancient13–60.0017%4 Aug
nuke8–13-0.0329%29 Jul
anubis13–16-0.0114%27 Jul
inferno7–90.028%26 Jul
inferno4–90.0436%26 Jul
dust211–130.0114%26 Jul
ancient11–130.0118%26 Jul
dust213–3-0.0115%24 Jul
mirage16–14-0.0114%23 Jul
inferno7–9-0.1221%22 Jul
inferno8–80.0525%21 Jul
inferno6–90.1319%21 Jul
inferno9–10.1019%21 Jul
inferno13–7-0.0020%20 Jul
nuke13–80.059%14 Jul
dust213–9-0.0417%14 Jul
inferno4–13-0.0030%13 Jul
dust27–13-0.044%13 Jul
mirage5–130.0121%13 Jul
mirage7–13-0.0811%13 Jul
inferno13–11-0.0315%9 Jul
cache0–13-0.1210%9 Jul
inferno13–11-0.0515%9 Jul
mirage16–13-0.0121%9 Jul
cache13–11-0.069%9 Jul
dust213–3-0.0123%9 Jul
dust26–13-0.0319%9 Jul
inferno15–150.0311%9 Jul
inferno16–14-0.0316%3 Jul
dust213–70.0516%1 Jul
inferno9–30.0529%30 Jun
nuke13–8-0.0223%26 Jun
inferno13–50.0447%25 Jun
inferno2–13-0.0421%22 Jun
inferno6–9-0.0224%22 Jun
inferno0–9-0.270%22 Jun
inferno1–9-0.2325%22 Jun
mirage13–11-0.0515%19 Jun
nuke13–10-0.009%13 Jun
inferno8–80.1713%13 Jun
inferno1–9-0.1817%13 Jun
ancient8–13-0.0111%12 Jun
mirage13–80.118%12 Jun
ancient2–13-0.0733%12 Jun
dust213–90.1032%12 Jun
inferno5–9-0.0119%12 Jun
inferno4–90.0118%12 Jun
dust211–130.0029%12 Jun
mirage6–13-0.0320%12 Jun
ancient5–130.0217%11 Jun
inferno9–20.1120%9 Jun
inferno0–9-0.258%5 Jun
inferno3–90.068%5 Jun
inferno8–8-0.097%4 Jun
dust213–70.0011%4 Jun
dust29–13-0.0315%4 Jun
inferno4–9-0.0830%4 Jun
inferno9–50.0427%3 Jun
inferno8–8-0.0822%3 Jun
inferno10–13-0.1120%2 Jun
overpass13–11-0.0122%2 Jun
dust211–13-0.0123%30 May
nuke9–60.0630%29 May
nuke9–7-0.0517%29 May
inferno9–6-0.1314%29 May
inferno9–7-0.0316%29 May
ancient6–130.0410%27 May
cache16–14-0.0026%27 May
inferno8–8-0.0813%27 May
inferno9–50.0422%27 May
dust212–4-0.0113%26 May
mirage9–130.0423%25 May
inferno10–130.0110%25 May
ancient11–13-0.0313%25 May
inferno8–8-0.0524%25 May
ancient13–110.0216%21 May
dust213–70.009%21 May
inferno5–90.0925%21 May
inferno7–90.1416%20 May
inferno9–40.2031%20 May
inferno9–50.1931%20 May
inferno9–50.0923%20 May
inferno1–9-0.1232%20 May
inferno9–10.2223%19 May
nuke2–11-0.056%18 May
anubis13–8-0.0114%18 May
inferno6–13-0.0213%17 May
cache7–13-0.0713%14 May
mirage7–130.0623%14 May
cache0–13-0.0611%14 May
mirage2–20.068%14 May
inferno1–9-0.1533%10 May
inferno7–9-0.0124%10 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 →